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Zhang Z, Robinson L, Campbell I, Irish M, Bobou M, Winterer J, Zhang Y, King S, Vaidya N, Broulidakis MJ, van Noort BM, Stringaris A, Banaschewski T, Bokde ALW, Brühl R, Fröhner JH, Grigis A, Garavan H, Gowland P, Heinz A, Hohmann S, Martinot JL, Martinot MLP, Nees F, Orfanos DP, Paus T, Poustka L, Sinclair J, Smolka MN, Walter H, Whelan R, Schumann G, Schmidt U, Desrivières S. Distinct personality profiles associated with disease risk and diagnostic status in eating disorders. J Affect Disord 2024; 360:146-155. [PMID: 38810783 DOI: 10.1016/j.jad.2024.05.132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 05/13/2024] [Accepted: 05/25/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND Personality traits have been associated with eating disorders (EDs) and comorbidities. However, it is unclear which personality profiles are premorbid risk rather than diagnostic markers. METHODS We explored associations between personality and ED-related mental health symptoms using canonical correlation analyses. We investigated personality risk profiles in a longitudinal sample, associating personality at age 14 with onset of mental health symptoms at ages 16 or 19. Diagnostic markers were identified in a sample of young adults with anorexia nervosa (AN, n = 58) or bulimia nervosa (BN, n = 63) and healthy controls (n = 47). RESULTS Two significant premorbid risk profiles were identified, successively explaining 7.93 % and 5.60 % of shared variance (Rc2). The first combined neuroticism (canonical loading, rs = 0.68), openness (rs = 0.32), impulsivity (rs = 0.29), and conscientiousness (rs = 0.27), with future onset of anxiety symptoms (rs = 0.87) and dieting (rs = 0.58). The other, combined lower agreeableness (rs = -0.60) and lower anxiety sensitivity (rs = -0.47), with future deliberate self-harm (rs = 0.76) and purging (rs = 0.55). Personality profiles associated with "core psychopathology" in both AN (Rc2 = 80.56 %) and BN diagnoses (Rc2 = 64.38 %) comprised hopelessness (rs = 0.95, 0.87) and neuroticism (rs = 0.93, 0.94). For BN, this profile also included impulsivity (rs = 0.60). Additionally, extraversion (rs = 0.41) was associated with lower depressive risk in BN. LIMITATIONS The samples were not ethnically diverse. The clinical cohort included only females. There was non-random attrition in the longitudinal sample. CONCLUSIONS The results suggest neuroticism and impulsivity as risk and diagnostic markers for EDs, with neuroticism and hopelessness as shared diagnostic markers. They may inform the design of more personalised prevention and intervention strategies.
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Affiliation(s)
- Zuo Zhang
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Lauren Robinson
- Department of Psychological Medicine, Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Iain Campbell
- Department of Psychological Medicine, Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Madeleine Irish
- Department of Psychological Medicine, Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Marina Bobou
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Jeanne Winterer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany; Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Yuning Zhang
- Psychology Department, B44 University Rd, University of Southampton, Southampton SO17 1PS, United Kingdom
| | - Sinead King
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom; School of Medicine, Center for Neuroimaging, Cognition and Genomics, National University of Ireland (NUI) Galway, Ireland; Beaumont Hospital, Royal College of Surgeons, Ireland
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Germany
| | - M John Broulidakis
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; Department of Psychology, College of Science, Northeastern University, Boston, MA, USA
| | - Betteke Maria van Noort
- Department of Psychology, MSB Medical School Berlin, Rüdesheimer Str. 50, 14197 Berlin, Germany
| | - Argyris Stringaris
- Division of Psychiatry and Department of Clinical, Educational & Health Psychology, University College London, United Kingdom
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, VT, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Developmental trajectories & psychiatry", Université Paris-Saclay, Université Paris Cité, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli UMR9010, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, and AP-HP, Sorbonne University, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | | | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada; Departments of Psychology and Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075 Göttingen, Germany
| | - Julia Sinclair
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Germany; Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Ulrike Schmidt
- Department of Psychological Medicine, Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; The Eating Disorders Service, Maudsley Hospital, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Sylvane Desrivières
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom.
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2
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Freichel R, Lenartowicz A, Douw L, Kruschwitz JD, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Holz N, Baeuchl C, Smolka MN, Vaidya N, Whelan R, Frouin V, Schumann G, Walter H, Blanken TF. Unraveling robust brain-behavior links of depressive complaints through granular network models for understanding heterogeneity. J Affect Disord 2024; 359:140-144. [PMID: 38754596 DOI: 10.1016/j.jad.2024.05.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 04/12/2024] [Accepted: 05/12/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND Depressive symptoms are highly prevalent, present in heterogeneous symptom patterns, and share diverse neurobiological underpinnings. Understanding the links between psychopathological symptoms and biological factors is critical in elucidating its etiology and persistence. We aimed to evaluate the utility of using symptom-brain network models to parse the heterogeneity of depressive complaints in a large adolescent sample. METHODS We used data from the third wave of the IMAGEN study, a multi-center panel cohort study involving 1317 adolescents (52.49 % female, mean ± SD age = 18.5 ± 0.7). Two network models were estimated: one including an overall depressive symptom severity sum score based on the Adolescent Depression Rating Scale (ADRS), and one incorporating individual ADRS item scores. Both networks included measures of cortical thickness in several regions (insula, cingulate, mOFC, fusiform gyrus) and hippocampal volume derived from neuroimaging. RESULTS The network based on individual item scores revealed associations between cortical thickness measures and specific depressive complaints, obscured when using an aggregate depression severity score. Notably, the insula's cortical thickness showed negative associations with cognitive dysfunction (partial cor. = -0.15); the cingulate's cortical thickness showed negative associations with feelings of worthlessness (partial cor. = -0.10), and mOFC was negatively associated with anhedonia (partial cor. = -0.05). LIMITATIONS This cross-sectional study relied on the self-reported assessment of depression complaints and used a non-clinical sample with predominantly healthy participants (19 % with depression or sub-threshold depression). CONCLUSIONS This study showcases the utility of network models in parsing heterogeneity in depressive complaints, linking individual complaints to specific neural substrates. We outline the next steps to integrate neurobiological and cognitive markers to unravel MDD's phenotypic heterogeneity.
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Affiliation(s)
- René Freichel
- Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands.
| | - Agatha Lenartowicz
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, United States
| | - Linda Douw
- Department of Anatomy and Neurosciences, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Johann D Kruschwitz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 'Trajectoires développementales en psychiatrie', Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 'Trajectoires développementales en psychiatrie', Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France; AP-HP, Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 'Trajectoires développementales en psychiatrie', Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France; Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Institute of Medical Psychology and Medical Sociology, Kiel University, Kiel, Germany
| | | | - Tomáš Paus
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christian Baeuchl
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany; Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Tessa F Blanken
- Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
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3
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Dautan D, Monai A, Maltese F, Chang X, Molent C, Mauro D, Galbusera A, Vecchia D, Antonelli F, Benedetti A, Drago F, Leggio GM, Pagani M, Fellin T, Gozzi A, Schumann G, Managò F, Papaleo F. Cortico-cortical transfer of socially derived information gates emotion recognition. Nat Neurosci 2024; 27:1318-1332. [PMID: 38769153 DOI: 10.1038/s41593-024-01647-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 04/09/2024] [Indexed: 05/22/2024]
Abstract
Emotion recognition and the resulting responses are important for survival and social functioning. However, how socially derived information is processed for reliable emotion recognition is incompletely understood. Here, we reveal an evolutionarily conserved long-range inhibitory/excitatory brain network mediating these socio-cognitive processes. Anatomical tracing in mice revealed the existence of a subpopulation of somatostatin (SOM) GABAergic neurons projecting from the medial prefrontal cortex (mPFC) to the retrosplenial cortex (RSC). Through optogenetic manipulations and Ca2+ imaging fiber photometry in mice and functional imaging in humans, we demonstrate the specific participation of these long-range SOM projections from the mPFC to the RSC, and an excitatory feedback loop from the RSC to the mPFC, in emotion recognition. Notably, we show that mPFC-to-RSC SOM projections are dysfunctional in mouse models relevant to psychiatric vulnerability and can be targeted to rescue emotion recognition deficits in these mice. Our findings demonstrate a cortico-cortical circuit underlying emotion recognition.
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Affiliation(s)
- Daniel Dautan
- Genetics of Cognition Laboratory, Neuroscience area, Istituto Italiano di Tecnologia, Genova, Italy
- Bioclinicum, Karolinska Institute, Stockholm, Sweden
| | - Anna Monai
- Genetics of Cognition Laboratory, Neuroscience area, Istituto Italiano di Tecnologia, Genova, Italy
| | - Federica Maltese
- Genetics of Cognition Laboratory, Neuroscience area, Istituto Italiano di Tecnologia, Genova, Italy
| | - Xiao Chang
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, P. R. China
| | - Cinzia Molent
- Genetics of Cognition Laboratory, Neuroscience area, Istituto Italiano di Tecnologia, Genova, Italy
| | - Daniele Mauro
- Genetics of Cognition Laboratory, Neuroscience area, Istituto Italiano di Tecnologia, Genova, Italy
| | - Alberto Galbusera
- Functional Neuroimaging Laboratory, Center for Neuroscience and Cognitive systems, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Dania Vecchia
- Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | - Federica Antonelli
- Genetics of Cognition Laboratory, Neuroscience area, Istituto Italiano di Tecnologia, Genova, Italy
| | - Arianna Benedetti
- Genetics of Cognition Laboratory, Neuroscience area, Istituto Italiano di Tecnologia, Genova, Italy
| | - Filippo Drago
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Gian Marco Leggio
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Marco Pagani
- Functional Neuroimaging Laboratory, Center for Neuroscience and Cognitive systems, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Tommaso Fellin
- Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | - Alessandro Gozzi
- Functional Neuroimaging Laboratory, Center for Neuroscience and Cognitive systems, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, P. R. China
- Centre for Population Neuroscience and Stratified Medicine (PONS), Charite Mental Health, Department of Psychiatry and Psychotherapy, CCM, Charite Universitätsmedizin Berlin, Berlin, Germany
| | - Francesca Managò
- Genetics of Cognition Laboratory, Neuroscience area, Istituto Italiano di Tecnologia, Genova, Italy
| | - Francesco Papaleo
- Genetics of Cognition Laboratory, Neuroscience area, Istituto Italiano di Tecnologia, Genova, Italy.
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4
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Macedo I, Paiva TO, Pasion R, Daedelow L, Heinz A, Magalhães A, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Holz N, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Barbosa F. Light Cannabis Use and the Adolescent Brain: An 8-years Longitudinal Assessment of Mental Health, Cognition, and Reward Processing. Psychopharmacology (Berl) 2024; 241:1447-1461. [PMID: 38532040 PMCID: PMC11199211 DOI: 10.1007/s00213-024-06575-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/11/2024] [Indexed: 03/28/2024]
Abstract
RATIONALE For decades, cannabis has been the most widely used illicit substance in the world, particularly among youth. Research suggests that mental health problems associated with cannabis use may result from its effect on reward brain circuit, emotional processes, and cognition. However, findings are mostly derived from correlational studies and inconsistent, particularly in adolescents. OBJECTIVES AND METHODS Using data from the IMAGEN study, participants (non-users, persistent users, abstinent users) were classified according to their cannabis use at 19 and 22 years-old. All participants were cannabis-naïve at baseline (14 years-old). Psychopathological symptoms, cognitive performance, and brain activity while performing a Monetary Incentive Delay task were used as predictors of substance use and to analyze group differences over time. RESULTS Higher scores on conduct problems and lower on peer problems at 14 years-old (n = 318) predicted a greater likelihood of transitioning to cannabis use within 5 years. At 19 years of age, individuals who consistently engaged in low-frequency (i.e., light) cannabis use (n = 57) exhibited greater conduct problems and hyperactivity/inattention symptoms compared to non-users (n = 52) but did not differ in emotional symptoms, cognitive functioning, or brain activity during the MID task. At 22 years, those who used cannabis at both 19 and 22 years-old n = 17), but not individuals that had been abstinent for ≥ 1 month (n = 19), reported higher conduct problems than non-users (n = 17). CONCLUSIONS Impairments in reward-related brain activity and cognitive functioning do not appear to precede or succeed cannabis use (i.e., weekly, or monthly use). Cannabis-naïve adolescents with conduct problems and more socially engaged with their peers may be at a greater risk for lighter yet persistent cannabis use in the future.
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Affiliation(s)
- Inês Macedo
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Educational Sciences (Laboratory of Neuropsychophysiology), University of Porto, Rua Alfredo Allen, 4200-135, Porto, Portugal.
- Addiction Biology Group, i3S-Instituto de Investigação E Inovação Em Saúde, Porto, Portugal.
| | | | - Rita Pasion
- HEI-LAB, Lusófona University, Porto, Portugal
| | - Laura Daedelow
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin, Institute of Health, Berlin, Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin, Institute of Health, Berlin, Germany
| | - Ana Magalhães
- Addiction Biology Group, i3S-Instituto de Investigação E Inovação Em Saúde, Porto, Portugal
- Instituto de Biologia Molecular E Celular (IBMC), University of Porto, Porto, Portugal
- Instituto de Ciências Biomédicas de Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-Sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt, Braunschweig und Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de La Santé Et de La Recherche Médicale, INSERM U 1299 Trajectoires Développementales & Psychiatrie, CNRS; EcoleNormaleSupérieure Paris-Saclay, Centre Borelli, University Paris-Saclay, Gif-Sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de La Santé Et de La Recherche Médicale, INSERM U 1299 Trajectoires Développementales & Psychiatrie, University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli; Gif-Sur-Yvette, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, and AP-HP. Sorbonne University, Paris, France
| | - Eric Artiges
- Institut National de La Santé Et de La Recherche Médicale, INSERM U 1299 Trajectoires Développementales & Psychiatrie, CNRS; EcoleNormaleSupérieure Paris-Saclay, Centre Borelli; Gif-Sur-Yvette; and Psychiatry Department, EPS Barthélémy Durand, University Paris-Saclay, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hosptalier, Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, ON, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry Psychotherapy and Psychosomatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin, Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Educational Sciences (Laboratory of Neuropsychophysiology), University of Porto, Rua Alfredo Allen, 4200-135, Porto, Portugal
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5
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Saberi A, Wischnewski KJ, Jung K, Lotter LD, Schaare HL, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Lemaitre H, Poustka L, Hohmann S, Holz N, Baeuchl C, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Paus T, Dukart J, Bernhardt BC, Popovych OV, Eickhoff SB, Valk SL. Adolescent maturation of cortical excitation-inhibition balance based on individualized biophysical network modeling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.18.599509. [PMID: 38948771 PMCID: PMC11213014 DOI: 10.1101/2024.06.18.599509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
The balance of excitation and inhibition is a key functional property of cortical microcircuits which changes through the lifespan. Adolescence is considered a crucial period for the maturation of excitation-inhibition balance. This has been primarily observed in animal studies, yet human in vivo evidence on adolescent maturation of the excitation-inhibition balance at the individual level is limited. Here, we developed an individualized in vivo marker of regional excitation-inhibition balance in human adolescents, estimated using large-scale simulations of biophysical network models fitted to resting-state functional magnetic resonance imaging data from two independent cross-sectional (N = 752) and longitudinal (N = 149) cohorts. We found a widespread relative increase of inhibition in association cortices paralleled by a relative age-related increase of excitation, or lack of change, in sensorimotor areas across both datasets. This developmental pattern co-aligned with multiscale markers of sensorimotor-association differentiation. The spatial pattern of excitation-inhibition development in adolescence was robust to inter-individual variability of structural connectomes and modeling configurations. Notably, we found that alternative simulation-based markers of excitation-inhibition balance show a variable sensitivity to maturational change. Taken together, our study highlights an increase of inhibition during adolescence in association areas using cross sectional and longitudinal data, and provides a robust computational framework to estimate microcircuit maturation in vivo at the individual level.
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Affiliation(s)
- Amin Saberi
- Institute of Neuroscience and Medicine - Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Kevin J Wischnewski
- Institute of Neuroscience and Medicine - Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Mathematics, Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Dusseldorf, Germany
| | - Kyesam Jung
- Institute of Neuroscience and Medicine - Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Leon D Lotter
- Institute of Neuroscience and Medicine - Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Max Planck School of Cognition, Stephanstrasse 1A, 04103 Leipzig, Germany
| | - H Lina Schaare
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, Vermont, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- German Center for Mental Health (DZPG), site Berlin-Potsdam, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie"; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli; Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie"; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli; Gif-sur-Yvette, France
- AP-HP. Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie"; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli; Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | | | - Herve Lemaitre
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076 Bordeaux, France
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Christian Baeuchl
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
| | - Juergen Dukart
- Institute of Neuroscience and Medicine - Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Boris C Bernhardt
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Oleksandr V Popovych
- Institute of Neuroscience and Medicine - Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine - Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Sofie L Valk
- Institute of Neuroscience and Medicine - Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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6
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Sibilia F, Jost-Mousseau C, Banaschewski T, Barker GJ, Büchel C, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Poustka L, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Bokde AL. The relationship between negative life events and cortical structural connectivity in adolescents. IBRO Neurosci Rep 2024; 16:201-210. [PMID: 38348392 PMCID: PMC10859284 DOI: 10.1016/j.ibneur.2024.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 01/27/2024] [Indexed: 02/15/2024] Open
Abstract
Adolescence is a crucial period for physical and psychological development. The impact of negative life events represents a risk factor for the onset of neuropsychiatric disorders. This study aims to investigate the relationship between negative life events and structural brain connectivity, considering both graph theory and connectivity strength. A group (n = 487) of adolescents from the IMAGEN Consortium was divided into Low and High Stress groups. Brain networks were extracted at an individual level, based on morphological similarity between grey matter regions with regions defined using an atlas-based region of interest (ROI) approach. Between-group comparisons were performed with global and local graph theory measures in a range of sparsity levels. The analysis was also performed in a larger sample of adolescents (n = 976) to examine linear correlations between stress level and network measures. Connectivity strength differences were investigated with network-based statistics. Negative life events were not found to be a factor influencing global network measures at any sparsity level. At local network level, between-group differences were found in centrality measures of the left somato-motor network (a decrease of betweenness centrality was seen at sparsity 5%), of the bilateral central visual and the left dorsal attention network (increase of degree at sparsity 10% at sparsity 30% respectively). Network-based statistics analysis showed an increase in connectivity strength in the High stress group in edges connecting the dorsal attention, limbic and salience networks. This study suggests negative life events alone do not alter structural connectivity globally, but they are associated to connectivity properties in areas involved in emotion and attention.
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Affiliation(s)
- Francesca Sibilia
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Coline Jost-Mousseau
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Paris Institute of Technology for Life, Food and Environmental Sciences, Paris, France
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Gareth J. Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Christian Büchel
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Sylvane Desrivières
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, VT, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Charité – Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Saclay, University Paris Descartes – Sorbonne Paris Cité; and Maison de Solenn, Paris, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Saclay, University Paris Descartes; and AP-HP.Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud, University Paris Descartes - Sorbonne Paris Cité; and Psychiatry Department 91G16, Orsay Hospital, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Charité – Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Gunter Schumann
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Arun L.W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - IMAGEN Consortium
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Paris Institute of Technology for Life, Food and Environmental Sciences, Paris, France
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, VT, USA
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
- Charité – Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Saclay, University Paris Descartes – Sorbonne Paris Cité; and Maison de Solenn, Paris, France
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Saclay, University Paris Descartes; and AP-HP.Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud, University Paris Descartes - Sorbonne Paris Cité; and Psychiatry Department 91G16, Orsay Hospital, France
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
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7
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Grootjans Y, Harrewijn A, Fornari L, Janssen T, de Bruijn ERA, van Atteveldt N, Franken IHA. Getting closer to social interactions using electroencephalography in developmental cognitive neuroscience. Dev Cogn Neurosci 2024; 67:101391. [PMID: 38759529 PMCID: PMC11127236 DOI: 10.1016/j.dcn.2024.101391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 04/12/2024] [Accepted: 05/10/2024] [Indexed: 05/19/2024] Open
Abstract
The field of developmental cognitive neuroscience is advancing rapidly, with large-scale, population-wide, longitudinal studies emerging as a key means of unraveling the complexity of the developing brain and cognitive processes in children. While numerous neuroscientific techniques like functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), magnetoencephalography (MEG), and transcranial magnetic stimulation (TMS) have proved advantageous in such investigations, this perspective proposes a renewed focus on electroencephalography (EEG), leveraging underexplored possibilities of EEG. In addition to its temporal precision, low costs, and ease of application, EEG distinguishes itself with its ability to capture neural activity linked to social interactions in increasingly ecologically valid settings. Specifically, EEG can be measured during social interactions in the lab, hyperscanning can be used to study brain activity in two (or more) people simultaneously, and mobile EEG can be used to measure brain activity in real-life settings. This perspective paper summarizes research in these three areas, making a persuasive argument for the renewed inclusion of EEG into the toolkit of developmental cognitive and social neuroscientists.
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Affiliation(s)
- Yvette Grootjans
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, the Netherlands.
| | - Anita Harrewijn
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, the Netherlands
| | - Laura Fornari
- Department of Clinical, Neuro, and Developmental Psychology & Institute LEARN!, Vrije Universiteit Amsterdam, the Netherlands
| | - Tieme Janssen
- Department of Clinical, Neuro, and Developmental Psychology & Institute LEARN!, Vrije Universiteit Amsterdam, the Netherlands
| | | | - Nienke van Atteveldt
- Department of Clinical, Neuro, and Developmental Psychology & Institute LEARN!, Vrije Universiteit Amsterdam, the Netherlands
| | - Ingmar H A Franken
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, the Netherlands
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8
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Lett TA, Vaidya N, Jia T, Polemiti E, Banaschewski T, Bokde ALW, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brüh R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Lemaitre H, Paus T, Poustka L, Stringaris A, Waller L, Zhang Z, Robinson L, Winterer J, Zhang Y, King S, Smolka MN, Whelan R, Schmidt U, Sinclair J, Walter H, Feng J, Robbins TW, Desrivières S, Marquand A, Schumann G. A framework for a brain-derived nosology of psychiatric disorders. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.07.24306980. [PMID: 38766134 PMCID: PMC11100856 DOI: 10.1101/2024.05.07.24306980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Current psychiatric diagnoses are not defined by neurobiological measures which hinders the development of therapies targeting mechanisms underlying mental illness 1,2 . Research confined to diagnostic boundaries yields heterogeneous biological results, whereas transdiagnostic studies often investigate individual symptoms in isolation. There is currently no paradigm available to comprehensively investigate the relationship between different clinical symptoms, individual disorders, and the underlying neurobiological mechanisms. Here, we propose a framework that groups clinical symptoms derived from ICD-10/DSM-V according to shared brain mechanisms defined by brain structure, function, and connectivity. The reassembly of existing ICD-10/DSM-5 symptoms reveal six cross-diagnostic psychopathology scores related to mania symptoms, depressive symptoms, anxiety symptoms, stress symptoms, eating pathology, and fear symptoms. They were consistently associated with multimodal neuroimaging components in the training sample of young adults aged 23, the independent test sample aged 23, participants aged 14 and 19 years, and in psychiatric patients. The identification of symptom groups of mental illness robustly defined by precisely characterized brain mechanisms enables the development of a psychiatric nosology based upon quantifiable neurobiological measures. As the identified symptom groups align well with existing diagnostic categories, our framework is directly applicable to clinical research and patient care.
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9
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Lotter LD, Saberi A, Hansen JY, Misic B, Paquola C, Barker GJ, Bokde ALW, Desrivieres S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Bruehl R, Martinot JL, Paillere ML, Artiges E, Papadopoulos Orfanos D, Paus T, Poustka L, Hohmann S, Froehner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Nees F, Banaschewski T, Eickhoff SB, Dukart J. Regional patterns of human cortex development colocalize with underlying neurobiology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.05.05.539537. [PMID: 37205539 PMCID: PMC10187287 DOI: 10.1101/2023.05.05.539537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Human brain morphology undergoes complex changes over the lifespan. Despite recent progress in tracking brain development via normative models, current knowledge of underlying biological mechanisms is highly limited. We demonstrate that human cerebral cortex development and aging trajectories unfold along patterns of molecular and cellular brain organization, traceable from population-level to individual developmental trajectories. During childhood and adolescence, cortex-wide spatial distributions of dopaminergic receptors, inhibitory neurons, glial cell populations, and brain-metabolic features explain up to 50% of variance associated with a lifespan model of regional cortical thickness trajectories. In contrast, modeled cortical change patterns during adulthood are best explained by cholinergic and glutamatergic neurotransmitter receptor and transporter distributions. These relationships are supported by developmental gene expression trajectories and translate to individual longitudinal data from over 8,000 adolescents, explaining up to 59% of developmental change at cohort- and 18% at single-subject level. Integrating neurobiological brain atlases with normative modeling and population neuroimaging provides a biologically meaningful path to understand brain development and aging in living humans.
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10
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Ge YJ, Fu Y, Gong W, Cheng W, Yu JT. Genetic architecture of brain morphology and overlap with neuropsychiatric traits. Trends Genet 2024:S0168-9525(24)00079-9. [PMID: 38702264 DOI: 10.1016/j.tig.2024.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/05/2024] [Accepted: 04/12/2024] [Indexed: 05/06/2024]
Abstract
Uncovering the genetic architectures of brain morphology offers valuable insights into brain development and disease. Genetic association studies of brain morphological phenotypes have discovered thousands of loci. However, interpretation of these loci presents a significant challenge. One potential solution is exploring the genetic overlap between brain morphology and disorders, which can improve our understanding of their complex relationships, ultimately aiding in clinical applications. In this review, we examine current evidence on the genetic associations between brain morphology and neuropsychiatric traits. We discuss the impact of these associations on the diagnosis, prediction, and treatment of neuropsychiatric diseases, along with suggestions for future research directions.
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Affiliation(s)
- Yi-Jun Ge
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yan Fu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, China
| | - Weikang Gong
- School of Data Science, Fudan University, Shanghai, China; Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, OX3 9DU, UK
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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11
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Cheek CL, Lindner P, Grigorenko EL. Statistical and Machine Learning Analysis in Brain-Imaging Genetics: A Review of Methods. Behav Genet 2024; 54:233-251. [PMID: 38336922 DOI: 10.1007/s10519-024-10177-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 01/24/2024] [Indexed: 02/12/2024]
Abstract
Brain-imaging-genetic analysis is an emerging field of research that aims at aggregating data from neuroimaging modalities, which characterize brain structure or function, and genetic data, which capture the structure and function of the genome, to explain or predict normal (or abnormal) brain performance. Brain-imaging-genetic studies offer great potential for understanding complex brain-related diseases/disorders of genetic etiology. Still, a combined brain-wide genome-wide analysis is difficult to perform as typical datasets fuse multiple modalities, each with high dimensionality, unique correlational landscapes, and often low statistical signal-to-noise ratios. In this review, we outline the progress in brain-imaging-genetic methodologies starting from early massive univariate to current deep learning approaches, highlighting each approach's strengths and weaknesses and elongating it with the field's development. We conclude by discussing selected remaining challenges and prospects for the field.
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Affiliation(s)
- Connor L Cheek
- Texas Institute for Evaluation, Measurement, and Statistics, University of Houston, Houston, TX, USA.
- Department of Physics, University of Houston, Houston, TX, USA.
| | - Peggy Lindner
- Texas Institute for Evaluation, Measurement, and Statistics, University of Houston, Houston, TX, USA
- Department of Information Science Technology, University of Houston, Houston, TX, USA
| | - Elena L Grigorenko
- Texas Institute for Evaluation, Measurement, and Statistics, University of Houston, Houston, TX, USA
- Department of Psychology, University of Houston, Houston, TX, USA
- Baylor College of Medicine, Houston, TX, USA
- Sirius University of Science and Technology, Sochi, Russia
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12
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Schmilovich Z, Bourque VR, Douard E, Huguet G, Poulain C, Ross JP, Alipour P, Castonguay CÉ, Younis N, Jean-Louis M, Saci Z, Pausova Z, Paus T, Schuman G, Porteous D, Davies G, Redmond P, Harris SE, Deary IJ, Whalley H, Hayward C, Dion PA, Jacquemont S, Rouleau GA. Copy-number variants and polygenic risk for intelligence confer risk for autism spectrum disorder irrespective of their effects on cognitive ability. Front Psychiatry 2024; 15:1369767. [PMID: 38751416 PMCID: PMC11094536 DOI: 10.3389/fpsyt.2024.1369767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 04/05/2024] [Indexed: 05/18/2024] Open
Abstract
Introduction Rare copy number variants (CNVs) and polygenic risk for intelligence (PRS-IQ) both confer susceptibility for autism spectrum disorder (ASD) but have opposing effects on cognitive ability. The field has struggled to disentangle the effects of these two classes of genomic variants on cognitive ability from their effects on ASD susceptibility, in part because previous studies did not include controls with cognitive measures. We aim to investigate the impact of these genomic variants on ASD risk while adjusting for their known effects on cognitive ability. Methods In a cohort of 8,426 subjects with ASD and 169,804 controls with cognitive assessments, we found that rare coding CNVs and PRS-IQ increased ASD risk, even after adjusting for their effects on cognitive ability. Results Bottom decile PRS-IQ and CNVs both decreased cognitive ability but had opposing effects on ASD risk. Models combining both classes of variants showed that the effects of rare CNVs and PRS-IQ on ASD risk and cognitive ability were largely additive, further suggesting that susceptibility for ASD is conferred independently from its effects on cognitive ability. Despite imparting mostly additive effects on ASD risk, rare CNVs and PRS-IQ showed opposing effects on core and associated features and developmental history among subjects with ASD. Discussion Our findings suggest that cognitive ability itself may not be the factor driving the underlying liability for ASD conferred by these two classes of genomic variants. In other words, ASD risk and cognitive ability may be two distinct manifestations of CNVs and PRS-IQ. This study also highlights the challenge of understanding how genetic risk for ASD maps onto its dimensional traits.
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Affiliation(s)
- Zoe Schmilovich
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
| | - Vincent-Raphaël Bourque
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
- Département de Pédiatrie, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Elise Douard
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
- Département de Pédiatrie, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Guillaume Huguet
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
| | - Cécile Poulain
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
- Département de Pédiatrie, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Jay P. Ross
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
| | - Paria Alipour
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
| | - Charles-Étienne Castonguay
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
| | - Nadine Younis
- Département de Pédiatrie, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Martineau Jean-Louis
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
| | - Zohra Saci
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Tomas Paus
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
- Departments of Psychiatry of Neuroscience, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Gunter Schuman
- Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
| | - David Porteous
- Lothian Birth Cohorts Group, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, The University of Edinburgh, Edinburgh, United Kingdom
| | - Gail Davies
- Lothian Birth Cohorts Group, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Paul Redmond
- Lothian Birth Cohorts Group, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Sarah E. Harris
- Lothian Birth Cohorts Group, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Ian J. Deary
- Lothian Birth Cohorts Group, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Heather Whalley
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, The University of Edinburgh, Edinburgh, United Kingdom
| | - Caroline Hayward
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, The University of Edinburgh, Edinburgh, United Kingdom
| | - Patrick A. Dion
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
| | - Sébastien Jacquemont
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
- Département de Pédiatrie, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Guy A. Rouleau
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
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13
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Polemiti E, Hese S, Schepanski K, Yuan J, Schumann G. How does the macroenvironment influence brain and behaviour-a review of current status and future perspectives. Mol Psychiatry 2024:10.1038/s41380-024-02557-x. [PMID: 38658771 DOI: 10.1038/s41380-024-02557-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 04/26/2024]
Abstract
The environment influences brain and mental health, both detrimentally and beneficially. Existing research has emphasised the individual psychosocial 'microenvironment'. Less attention has been paid to 'macroenvironmental' challenges, including climate change, pollution, urbanicity, and socioeconomic disparity. Notably, the implications of climate and pollution on brain and mental health have only recently gained prominence. With the advent of large-scale big-data cohorts and an increasingly dense mapping of macroenvironmental parameters, we are now in a position to characterise the relation between macroenvironment, brain, and behaviour across different geographic and cultural locations globally. This review synthesises findings from recent epidemiological and neuroimaging studies, aiming to provide a comprehensive overview of the existing evidence between the macroenvironment and the structure and functions of the brain, with a particular emphasis on its implications for mental illness. We discuss putative underlying mechanisms and address the most common exposures of the macroenvironment. Finally, we identify critical areas for future research to enhance our understanding of the aetiology of mental illness and to inform effective interventions for healthier environments and mental health promotion.
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Affiliation(s)
- Elli Polemiti
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience CCM, Charité-Universitätsmedizin Berlin, Berlin, Germany.
| | - Sören Hese
- Institute of Geography, Friedrich Schiller University Jena, Jena, Germany
| | | | - Jiacan Yuan
- Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences & CMA-FDU Joint Laboratory of Marine Meteorology & IRDR-ICOE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Gunter Schumann
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience CCM, Charité-Universitätsmedizin Berlin, Berlin, Germany.
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
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14
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Vaidya N, Marquand AF, Nees F, Siehl S, Schumann G. The impact of psychosocial adversity on brain and behaviour: an overview of existing knowledge and directions for future research. Mol Psychiatry 2024:10.1038/s41380-024-02556-y. [PMID: 38658773 DOI: 10.1038/s41380-024-02556-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 04/26/2024]
Abstract
Environmental experiences play a critical role in shaping the structure and function of the brain. Its plasticity in response to different external stimuli has been the focus of research efforts for decades. In this review, we explore the effects of adversity on brain's structure and function and its implications for brain development, adaptation, and the emergence of mental health disorders. We are focusing on adverse events that emerge from the immediate surroundings of an individual, i.e., microenvironment. They include childhood maltreatment, peer victimisation, social isolation, affective loss, domestic conflict, and poverty. We also take into consideration exposure to environmental toxins. Converging evidence suggests that different types of adversity may share common underlying mechanisms while also exhibiting unique pathways. However, they are often studied in isolation, limiting our understanding of their combined effects and the interconnected nature of their impact. The integration of large, deep-phenotyping datasets and collaborative efforts can provide sufficient power to analyse high dimensional environmental profiles and advance the systematic mapping of neuronal mechanisms. This review provides a background for future research, highlighting the importance of understanding the cumulative impact of various adversities, through data-driven approaches and integrative multimodal analysis techniques.
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Affiliation(s)
- Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany.
| | - Andre F Marquand
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Frauke Nees
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | - Sebastian Siehl
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology of Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, China
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15
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Ching CRK, Kang MJY, Thompson PM. Large-Scale Neuroimaging of Mental Illness. Curr Top Behav Neurosci 2024. [PMID: 38554248 DOI: 10.1007/7854_2024_462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2024]
Abstract
Neuroimaging has provided important insights into the brain variations related to mental illness. Inconsistencies in prior studies, however, call for methods that lead to more replicable and generalizable brain markers that can reliably predict illness severity, treatment course, and prognosis. A paradigm shift is underway with large-scale international research teams actively pooling data and resources to drive consensus findings and test emerging methods aimed at achieving the goals of precision psychiatry. In parallel with large-scale psychiatric genomics studies, international consortia combining neuroimaging data are mapping the transdiagnostic brain signatures of mental illness on an unprecedented scale. This chapter discusses the major challenges, recent findings, and a roadmap for developing better neuroimaging-based tools and markers for mental illness.
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Affiliation(s)
- Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Melody J Y Kang
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
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16
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Backhausen LL, Granzow J, Fröhner JH, Artiges E, Paillère‐Martinot M, Lemaître H, Sticca F, Banaschewski T, Desrivières S, Grigis A, Heinz A, Brühl R, Papadopoulos‐Orfanos D, Poustka L, Hohmann S, Robinson L, Walter H, Winterer J, Schumann G, Martinot J, Smolka MN, Vetter NC. Interplay of early negative life events, development of orbitofrontal cortical thickness and depression in young adulthood. JCPP ADVANCES 2024; 4:e12210. [PMID: 38486954 PMCID: PMC10933677 DOI: 10.1002/jcv2.12210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 09/26/2023] [Indexed: 03/17/2024] Open
Abstract
Background Early negative life events (NLE) have long-lasting influences on neurodevelopment and psychopathology. Reduced orbitofrontal cortex (OFC) thickness was frequently associated with NLE and depressive symptoms. OFC thinning might mediate the effect of NLE on depressive symptoms, although few longitudinal studies exist. Using a complete longitudinal design with four time points, we examined whether NLE during childhood and early adolescence predict depressive symptoms in young adulthood through accelerated OFC thinning across adolescence. Methods We acquired structural MRI from 321 participants at two sites across four time points from ages 14 to 22. We measured NLE with the Life Events Questionnaire at the first time point and depressive symptoms with the Center for Epidemiologic Studies Depression Scale at the fourth time point. Modeling latent growth curves, we tested whether OFC thinning mediates the effect of NLE on depressive symptoms. Results A higher burden of NLE, a thicker OFC at the age of 14, and an accelerated OFC thinning across adolescence predicted young adults' depressive symptoms. We did not identify an effect of NLE on OFC thickness nor OFC thickness mediating effects of NLE on depressive symptoms. Conclusions Using a complete longitudinal design with four waves, we show that NLE in childhood and early adolescence predict depressive symptoms in the long term. Results indicate that an accelerated OFC thinning may precede depressive symptoms. Assessment of early additionally to acute NLEs and neurodevelopment may be warranted in clinical settings to identify risk factors for depression.
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Affiliation(s)
- Lea L. Backhausen
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
- Department of Child and Adolescent PsychiatryMedical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of TechnologyDresdenGermany
| | - Jonas Granzow
- Department of Child and Adolescent PsychiatryMedical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of TechnologyDresdenGermany
| | - Juliane H. Fröhner
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
| | - Eric Artiges
- Institut National de la Santé et de la Recherche MédicaleINSERM U1299 “Trajectoires développementales en psychiatrie”Université Paris‐SaclayEcole Normale supérieure Paris‐SaclayCNRSCentre BorelliGif‐sur‐YvetteFrance
- Department of PsychiatryLab‐D‐PsyEPS Barthélémy DurandEtampesFrance
| | - Marie‐Laure Paillère‐Martinot
- Institut National de la Santé et de la Recherche MédicaleINSERM U1299 “Trajectoires développementales en psychiatrie”Université Paris‐SaclayEcole Normale supérieure Paris‐SaclayCNRSCentre BorelliGif‐sur‐YvetteFrance
- Department of Child and Adolescent PsychiatryPitié‐Salpêtrière HospitalParisFrance
| | | | - Fabio Sticca
- Institute for Educational Support for Behaviour, Social‐Emotional, and Psychomotor DevelopmentUniversity of Teacher Education in Special NeedsZurichSwitzerland
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and PsychotherapyCentral Institute of Mental HealthMedical Faculty MannheimHeidelberg UniversityMannheimGermany
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS)Institute of Psychiatry, Psychology & NeuroscienceSGDP CentreKing's College LondonLondonUK
| | | | - Andreas Heinz
- Department of Psychiatry and NeurosciencesCharité – Universitätsmedizin BerlinCorporate Member of Freie Universität BerlinHumboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Rüdiger Brühl
- Physikalisch‐Technische Bundesanstalt (PTB)Braunschweig and BerlinBerlinGermany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and PsychotherapyUniversity Medical Centre GöttingenGöttingenGermany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and PsychotherapyCentral Institute of Mental HealthMedical Faculty MannheimHeidelberg UniversityMannheimGermany
- Department of Child and Adolescent PsychiatryPsychotherapy and PsychosomaticsUniversity Medical Center Hamburg EppendorfHamburgGermany
| | - Lauren Robinson
- Department of Psychological MedicineSection for Eating DisordersInstitute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Henrik Walter
- Department of Psychiatry and NeurosciencesCharité – Universitätsmedizin BerlinCorporate Member of Freie Universität BerlinHumboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Jeanne Winterer
- Department of Psychiatry and NeurosciencesCharité – Universitätsmedizin BerlinCorporate Member of Freie Universität BerlinHumboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
- Department of Education and PsychologyFreie Universität BerlinBerlinGermany
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS)Institute of Psychiatry, Psychology & NeuroscienceSGDP CentreKing's College LondonLondonUK
- Department of Psychiatry and PsychotherapyPONS Research GroupCampus Charite MitteHumboldt UniversityBerlin and Leibniz Institute for NeurobiologyMagdeburgGermany
- Institute for Science and Technology of Brain‐inspired Intelligence (ISTBI)Fudan UniversityShanghaiChina
| | - Jean‐Luc Martinot
- Institut National de la Santé et de la Recherche MédicaleINSERM U1299 “Trajectoires développementales en psychiatrie”Université Paris‐SaclayEcole Normale supérieure Paris‐SaclayCNRSCentre BorelliGif‐sur‐YvetteFrance
| | - Michael N. Smolka
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
| | - Nora C. Vetter
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
- Department of Child and Adolescent PsychiatryMedical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of TechnologyDresdenGermany
- Department of PsychologyMSB Medical School BerlinBerlinGermany
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Chen D, Jia T, Cheng W, Desrivières S, Heinz A, Schumann G, Feng J. Evaluation of behavioral variance/covariance explained by the neuroimaging data through a pattern-based regression. Hum Brain Mapp 2024; 45:e26601. [PMID: 38488475 PMCID: PMC10941514 DOI: 10.1002/hbm.26601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 01/01/2024] [Accepted: 01/08/2024] [Indexed: 03/18/2024] Open
Abstract
Neuroimaging data have been widely used to understand the neural bases of human behaviors. However, most studies were either based on a few predefined regions of interest or only able to reveal limited vital regions, hence not providing an overarching description of the relationship between neuroimaging and behaviors. Here, we proposed a voxel-based pattern regression that not only could investigate the overall brain-associated variance (BAV) for a given behavioral measure but could also evaluate the shared neural bases between different behaviors across multiple neuroimaging data. The proposed method demonstrated consistently high reliability and accuracy through comprehensive simulations. We further implemented this approach on real data of adolescents (IMAGEN project, n = 2089) and adults (HCP project, n = 808) to investigate brain-based variances of multiple behavioral measures, for instance, cognitive behaviors, substance use, and psychiatric disorders. Notably, intelligence-related scores showed similar high BAVs with the gray matter volume across both datasets. Further, our approach allows us to reveal the latent brain-based correlation across multiple behavioral measures, which are challenging to obtain otherwise. For instance, we observed a shared brain architecture underlying depression and externalizing problems in adolescents, while the symptom comorbidity may only emerge later in adults. Overall, our approach will provide an important statistical tool for understanding human behaviors using neuroimaging data.
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Affiliation(s)
- Di Chen
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
- Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence (Fudan University)Ministry of EducationShanghaiChina
| | - Tianye Jia
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
- Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence (Fudan University)Ministry of EducationShanghaiChina
- Institute of Psychiatry, Psychology & NeuroscienceSGDP Centre, King's College LondonLondonUK
| | - Wei Cheng
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
- Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence (Fudan University)Ministry of EducationShanghaiChina
| | - Sylvane Desrivières
- Institute of Psychiatry, Psychology & NeuroscienceSGDP Centre, King's College LondonLondonUK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCMCharité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Gunter Schumann
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
- Department of Psychiatry and Psychotherapy CCMCharité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Jianfeng Feng
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
- Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence (Fudan University)Ministry of EducationShanghaiChina
- Department of Computer ScienceUniversity of WarwickCoventryUK
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18
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Croarkin PE. Understanding the Developmental Lines of Psychosis Spectrum Symptoms: Efforts and Early Insights From the Toronto Adolescent and Youth Cohort Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:247-248. [PMID: 38458694 DOI: 10.1016/j.bpsc.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 03/10/2024]
Affiliation(s)
- Paul E Croarkin
- Ervin A. and Margaret C. Mueller Mayo Clinic Children's Research Center, Departments of Psychiatry, Psychology, Pediatrics and Pharmacology, Mayo Clinic, Rochester, Minnesota.
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Cleverley K, Foussias G, Ameis SH, Courtney DB, Goldstein BI, Hawke LD, Kozloff N, Quilty LC, Rotenberg M, Wheeler AL, Andrade BF, Aitken M, Mahleka D, Jani M, Frayne M, Wong JKY, Kelly R, Dickie EW, Felsky D, Haltigan JD, Lai MC, Nikolova YS, Tempelaar W, Wang W, Battaglia M, Husain MO, Kidd S, Kurdyak P, Levitan RD, Lewis SP, Polillo A, Szatmari P, van der Miesen AIR, Ahmadzadasl M, Voineskos AN. The Toronto Adolescent and Youth Cohort Study: Study Design and Early Data Related to Psychosis Spectrum Symptoms, Functioning, and Suicidality. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:253-264. [PMID: 37979943 DOI: 10.1016/j.bpsc.2023.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/30/2023] [Accepted: 10/30/2023] [Indexed: 11/20/2023]
Abstract
BACKGROUND Psychosis spectrum symptoms (PSSs) occur in a sizable percentage of youth and are associated with poorer cognitive performance, poorer functioning, and suicidality (i.e., suicidal thoughts and behaviors). PSSs may occur more frequently in youths already experiencing another mental illness, but the antecedents are not well known. The Toronto Adolescent and Youth (TAY) Cohort Study aims to characterize developmental trajectories in youths with mental illness and understand associations with PSSs, functioning, and suicidality. METHODS The TAY Cohort Study is a longitudinal cohort study that aims to assess 1500 youths (age 11-24 years) presenting to tertiary care. In this article, we describe the extensive diagnostic and clinical characterization of psychopathology, substance use, functioning, suicidality, and health service utilization in these youths, with follow-up every 6 months over 5 years, including early baseline data. RESULTS A total of 417 participants were enrolled between May 4, 2021, and February 2, 2023. Participants met diagnostic criteria for an average of 3.5 psychiatric diagnoses, most frequently anxiety and depressive disorders. Forty-nine percent of participants met a pre-established threshold for PSSs and exhibited higher rates of functional impairment, internalizing and externalizing symptoms, and suicidality than participants without PSSs. CONCLUSIONS Initial findings from the TAY Cohort Study demonstrate the feasibility of extensive clinical phenotyping in youths who are seeking help for mental health problems. PSS prevalence is much higher than in community-based studies. Our early data support the critical need to better understand longitudinal trajectories of clinical youth cohorts in relation to psychosis risk, functioning, and suicidality.
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Affiliation(s)
- Kristin Cleverley
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - George Foussias
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Stephanie H Ameis
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Darren B Courtney
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Benjamin I Goldstein
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Lisa D Hawke
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Nicole Kozloff
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Lena C Quilty
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Martin Rotenberg
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Anne L Wheeler
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Physiology, University of Toronto, Toronto, Ontario, Canada; Hospital for Sick Children, Neurosciences and Mental Health Program, Toronto, Ontario, Canada
| | - Brendan F Andrade
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Madison Aitken
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Don Mahleka
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Melanie Jani
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Margot Frayne
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Jimmy K Y Wong
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Rachel Kelly
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Erin W Dickie
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Daniel Felsky
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - John D Haltigan
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Meng-Chuan Lai
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; National Taiwan University Hospital and College of Medicine, Taiwan
| | - Yuliya S Nikolova
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Wanda Tempelaar
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Wei Wang
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Marco Battaglia
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Muhammad Omair Husain
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sean Kidd
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Paul Kurdyak
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Robert D Levitan
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Stephen P Lewis
- Department of Psychology, University of Guelph, Guelph, Ontario, Canada
| | - Alexia Polillo
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Peter Szatmari
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Hospital for Sick Children, Neurosciences and Mental Health Program, Toronto, Ontario, Canada
| | - Anna I R van der Miesen
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Masoud Ahmadzadasl
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Aristotle N Voineskos
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
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20
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Heukamp NJ, Banaschewski T, Bokde AL, Desrivières S, Grigis A, Garavan H, Gowland P, Heinz A, Kandić M, Brühl R, Martinot JL, Paillère Martinot ML, Artiges E, Papadopoulos Orfanos D, Lemaitre H, Löffler M, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Usai K, Vaidya N, Walter H, Whelan R, Schumann G, Flor H, Nees F. Adolescents' pain-related ontogeny shares a neural basis with adults' chronic pain in basothalamo-cortical organization. iScience 2024; 27:108954. [PMID: 38322983 PMCID: PMC10845062 DOI: 10.1016/j.isci.2024.108954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 10/19/2023] [Accepted: 01/15/2024] [Indexed: 02/08/2024] Open
Abstract
During late adolescence, the brain undergoes ontogenic organization altering subcortical-cortical circuitry. This includes regions implicated in pain chronicity, and thus alterations in the adolescent ontogenic organization could predispose to pain chronicity in adulthood - however, evidence is lacking. Using resting-state functional magnetic resonance imaging from a large European longitudinal adolescent cohort and an adult cohort with and without chronic pain, we examined links between painful symptoms and brain connectivity. During late adolescence, thalamo-, caudate-, and red nucleus-cortical connectivity were positively and subthalamo-cortical connectivity negatively associated with painful symptoms. Thalamo-cortical connectivity, but also subthalamo-cortical connectivity, was increased in adults with chronic pain compared to healthy controls. Our results indicate a shared basis in basothalamo-cortical circuitries between adolescent painful symptomatology and adult pain chronicity, with the subthalamic pathway being differentially involved, potentially due to a hyperconnected thalamo-cortical pathway in chronic pain and ontogeny-driven organization. This can inform neuromodulation-based prevention and early intervention.
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Affiliation(s)
- Nils Jannik Heukamp
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Arun L.W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King’s College London, London, UK
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Mina Kandić
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- AP-HP, Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | | | - Herve Lemaitre
- NeuroSpin, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076 Bordeaux, France
| | - Martin Löffler
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Clinical Psychology, Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Integrative Spinal Research Group, Department of Chiropractic Medicine, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075 Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Katrin Usai
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Berlin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Frauke Nees
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - IMAGEN Consortium
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King’s College London, London, UK
- NeuroSpin, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405, USA
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Berlin, Germany
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- AP-HP, Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076 Bordeaux, France
- Clinical Psychology, Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Integrative Spinal Research Group, Department of Chiropractic Medicine, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075 Göttingen, Germany
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin, Berlin, Germany
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Berlin, Ireland
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
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21
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Backhausen LL, Fröhner JH, Lemaître H, Artiges E, Martinot MP, Herting MM, Sticca F, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Nees F, Papadopoulos‐Orfanos D, Poustka L, Hohmann S, Robinson L, Walter H, Winterer J, Whelan R, Schumann G, Martinot J, Smolka MN, Vetter NC. Adolescent to young adult longitudinal development of subcortical volumes in two European sites with four waves. Hum Brain Mapp 2024; 45:e26574. [PMID: 38401132 PMCID: PMC10893970 DOI: 10.1002/hbm.26574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 11/16/2023] [Accepted: 12/11/2023] [Indexed: 02/26/2024] Open
Abstract
Adolescent subcortical structural brain development might underlie psychopathological symptoms, which often emerge in adolescence. At the same time, sex differences exist in psychopathology, which might be mirrored in underlying sex differences in structural development. However, previous studies showed inconsistencies in subcortical trajectories and potential sex differences. Therefore, we aimed to investigate the subcortical structural trajectories and their sex differences across adolescence using for the first time a single cohort design, the same quality control procedure, software, and a general additive mixed modeling approach. We investigated two large European sites from ages 14 to 24 with 503 participants and 1408 total scans from France and Germany as part of the IMAGEN project including four waves of data acquisition. We found significantly larger volumes in males versus females in both sites and across all seven subcortical regions. Sex differences in age-related trajectories were observed across all regions in both sites. Our findings provide further evidence of sex differences in longitudinal adolescent brain development of subcortical regions and thus might eventually support the relationship of underlying brain development and different adolescent psychopathology in boys and girls.
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Affiliation(s)
- Lea L. Backhausen
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
- Department of Child and Adolescent Psychiatry, Medical Faculty and University Hospital Carl Gustav CarusTUD Dresden University of TechnologyDresdenGermany
| | - Juliane H. Fröhner
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
| | - Hervé Lemaître
- NeuroSpin, CEAUniversité Paris‐SaclayGif‐sur‐YvetteFrance
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEAUniversité de BordeauxBordeauxFrance
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires Développementales en Psychiatrie"Université Paris‐Saclay, Ecole Normale supérieure Paris‐Saclay, CNRS, Centre BorelliGif‐sur‐YvetteFrance
- Department of PsychiatryLab‐D‐Psy, EPS Barthélémy DurandEtampesFrance
| | - Marie‐Laure Palillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires Développementales en Psychiatrie"Université Paris‐Saclay, Ecole Normale supérieure Paris‐Saclay, CNRS, Centre BorelliGif‐sur‐YvetteFrance
- AP‐HP, Sorbonne Université, Department of Child and Adolescent PsychiatryPitié‐Salpêtrière HospitalParisFrance
| | - Megan M. Herting
- Departments of Population and Public Health Sciences and PediatricsUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Fabio Sticca
- Institute for Educational Support for Behaviour, Social‐Emotional, and Psychomotor DevelopmentUniversity of Teacher Education in Special NeedsZurichSwitzerland
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
| | - Gareth J. Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Arun L. W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of NeuroscienceTrinity College DublinDublinIreland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP CentreKing's College LondonLondonUK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
- Department of Psychology, School of Social SciencesUniversity of MannheimMannheimGermany
| | - Antoine Grigis
- NeuroSpin, CEAUniversité Paris‐SaclayGif‐sur‐YvetteFrance
| | - Hugh Garavan
- Departments of Psychiatry and PsychologyUniversity of VermontBurlingtonVermontUSA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and AstronomyUniversity of Nottingham, University ParkNottinghamUK
| | - Andreas Heinz
- Department of Psychiatry and NeurosciencesCharité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Rüdiger Brühl
- Physikalisch‐Technische Bundesanstalt (PTB)BraunschweigGermany
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
- Institute of Medical Psychology and Medical SociologyUniversity Medical Center Schleswig Holstein, Kiel UniversityKielGermany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and PsychotherapyUniversity Medical Centre GöttingenGöttingenGermany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
- Department of Child and Adolescent Psychiatry, Psychotherapy and PsychosomaticsUniversity Medical Center Hamburg EppendorfHamburgGermany
| | - Lauren Robinson
- Department of Psychological Medicine, Section for Eating Disorders, Institute of PsychiatryPsychology and Neuroscience, King's College LondonLondonUK
| | - Henrik Walter
- Department of Psychiatry and NeurosciencesCharité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Jeanne Winterer
- Department of Psychiatry and NeurosciencesCharité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
- Department of Education and PsychologyFreie Universität BerlinBerlinGermany
| | - Robert Whelan
- School of Psychology and Global Brain Health InstituteTrinity College DublinDublinIreland
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP CentreKing's College LondonLondonUK
- PONS Research Group, Dept of Psychiatry and Psychotherapy, Campus Charite MitteHumboldt University, Berlin and Leibniz Institute for NeurobiologyMagdeburgGermany
- Institute for Science and Technology of Brain‐Inspired Intelligence (ISTBI)Fudan UniversityShanghaiChina
| | - Jean‐Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires Développementales en Psychiatrie"Université Paris‐Saclay, Ecole Normale supérieure Paris‐Saclay, CNRS, Centre BorelliGif‐sur‐YvetteFrance
| | - Michael N. Smolka
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
| | - Nora C. Vetter
- Department of Psychiatry and PsychotherapyTUD Dresden University of TechnologyDresdenGermany
- Department of Child and Adolescent Psychiatry, Medical Faculty and University Hospital Carl Gustav CarusTUD Dresden University of TechnologyDresdenGermany
- Department of PsychologyMSB Medical School BerlinBerlinGermany
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22
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Desrivières S, Zhang Z, Robinson L, Whelan R, Jollans L, Wang Z, Nees F, Chu C, Bobou M, Du D, Cristea I, Banaschewski T, Barker G, Bokde A, Grigis A, Garavan H, Heinz A, Bruhl R, Martinot JL, Martinot MLP, Artiges E, Orfanos DP, Poustka L, Hohmann S, Millenet S, Fröhner J, Smolka M, Vaidya N, Walter H, Winterer J, Broulidakis M, van Noort B, Stringaris A, Penttilä J, Grimmer Y, Insensee C, Becker A, Zhang Y, King S, Sinclair J, Schumann G, Schmidt U. Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder. RESEARCH SQUARE 2024:rs.3.rs-3777784. [PMID: 38352452 PMCID: PMC10862965 DOI: 10.21203/rs.3.rs-3777784/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
This study uses machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder (MDD), and alcohol use disorder (AUD). Utilizing case-control samples (ages 18-25 years) and a longitudinal population-based sample (n=1,851), the models, incorporating diverse data domains, achieved high accuracy in classifying EDs, MDD, and AUD from healthy controls. The area under the receiver operating characteristic curves (AUC-ROC [95% CI]) reached 0.92 [0.86-0.97] for AN and 0.91 [0.85-0.96] for BN, without relying on body mass index as a predictor. The classification accuracies for MDD (0.91 [0.88-0.94]) and AUD (0.80 [0.74-0.85]) were also high. Each data domain emerged as accurate classifiers individually, with personality distinguishing AN, BN, and their controls with AUC-ROCs ranging from 0.77 to 0.89. The models demonstrated high transdiagnostic potential, as those trained for EDs were also accurate in classifying AUD and MDD from healthy controls, and vice versa (AUC-ROCs, 0.75-0.93). Shared predictors, such as neuroticism, hopelessness, and symptoms of attention-deficit/hyperactivity disorder, were identified as reliable classifiers. For risk prediction in the longitudinal population sample, the models exhibited moderate performance (AUC-ROCs, 0.64-0.71), highlighting the potential of combining multi-domain data for precise diagnostic and risk prediction applications in psychiatry.
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23
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Demidenko MI, Mumford JA, Ram N, Poldrack RA. A multi-sample evaluation of the measurement structure and function of the modified monetary incentive delay task in adolescents. Dev Cogn Neurosci 2024; 65:101337. [PMID: 38160517 PMCID: PMC10801229 DOI: 10.1016/j.dcn.2023.101337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 12/11/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024] Open
Abstract
Interpreting the neural response elicited during task functional magnetic resonance imaging (fMRI) remains a challenge in neurodevelopmental research. The monetary incentive delay (MID) task is an fMRI reward processing task that is extensively used in the literature. However, modern psychometric tools have not been used to evaluate measurement properties of the MID task fMRI data. The current study uses data for a similar task design across three adolescent samples (N = 346 [Agemean 12.0; 44 % Female]; N = 97 [19.3; 58 %]; N = 112 [20.2; 38 %]) to evaluate multiple measurement properties of fMRI responses on the MID task. Confirmatory factor analysis (CFA) is used to evaluate an a priori theoretical model for the task and its measurement invariance across three samples. Exploratory factor analysis (EFA) is used to identify the data-driven measurement structure across the samples. CFA results suggest that the a priori model is a poor representation of these MID task fMRI data. Across the samples, the data-driven EFA models consistently identify a six-to-seven factor structure with run and bilateral brain region factors. This factor structure is moderately-to-highly congruent across the samples. Altogether, these findings demonstrate a need to evaluate theoretical frameworks for popular fMRI task designs to improve our understanding and interpretation of brain-behavior associations.
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Affiliation(s)
| | | | - Nilam Ram
- Department of Psychology, Stanford University, Stanford, United States
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24
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Guldner S, Lavan N, Lally C, Wittmann L, Nees F, Flor H, McGettigan C. Human talkers change their voices to elicit specific trait percepts. Psychon Bull Rev 2024; 31:209-222. [PMID: 37507647 PMCID: PMC10866754 DOI: 10.3758/s13423-023-02333-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2023] [Indexed: 07/30/2023]
Abstract
The voice is a variable and dynamic social tool with functional relevance for self-presentation, for example, during a job interview or courtship. Talkers adjust their voices flexibly to their situational or social environment. Here, we investigated how effectively intentional voice modulations can evoke trait impressions in listeners (Experiment 1), whether these trait impressions are recognizable (Experiment 2), and whether they meaningfully influence social interactions (Experiment 3). We recorded 40 healthy adult speakers' whilst speaking neutrally and whilst producing vocal expressions of six social traits (e.g., likeability, confidence). Multivariate ratings of 40 listeners showed that vocal modulations amplified specific trait percepts (Experiments 1 and 2), which could be explained by two principal components relating to perceived affiliation and competence. Moreover, vocal modulations increased the likelihood of listeners choosing the voice to be suitable for corresponding social goals (i.e., a confident rather than likeable voice to negotiate a promotion, Experiment 3). These results indicate that talkers modulate their voice along a common trait space for social navigation. Moreover, beyond reactive voice changes, vocal behaviour can be strategically used by talkers to communicate subtle information about themselves to listeners. These findings advance our understanding of non-verbal vocal behaviour for social communication.
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Affiliation(s)
- Stella Guldner
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
| | - Nadine Lavan
- Department of Psychology, Queen Mary University of London, London, UK
| | - Clare Lally
- Department of Speech, Hearing and Phonetic Sciences, University College London, London, UK
| | - Lisa Wittmann
- Institute of Psychology, University of Regensburg, Regensburg, Germany
| | - Frauke Nees
- Institute of Medical Psychology and Medical Sociology, University Medical Centre Schleswig Holstein, Kiel University, Kiel, Germany
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Carolyn McGettigan
- Department of Speech, Hearing and Phonetic Sciences, University College London, London, UK
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25
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Chen SD, You J, Zhang W, Wu BS, Ge YJ, Xiang ST, Du J, Kuo K, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Lemaitre H, Paus T, Poustka L, Hohmann S, Millenet S, Baeuchl C, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Feng JF, Dong Q, Cheng W, Yu JT. The genetic architecture of the human hypothalamus and its involvement in neuropsychiatric behaviours and disorders. Nat Hum Behav 2024:10.1038/s41562-023-01792-6. [PMID: 38182882 DOI: 10.1038/s41562-023-01792-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 11/20/2023] [Indexed: 01/07/2024]
Abstract
Despite its crucial role in the regulation of vital metabolic and neurological functions, the genetic architecture of the hypothalamus remains unknown. Here we conducted multivariate genome-wide association studies (GWAS) using hypothalamic imaging data from 32,956 individuals to uncover the genetic underpinnings of the hypothalamus and its involvement in neuropsychiatric traits. There were 23 significant loci associated with the whole hypothalamus and its subunits, with functional enrichment for genes involved in intracellular trafficking systems and metabolic processes of steroid-related compounds. The hypothalamus exhibited substantial genetic associations with limbic system structures and neuropsychiatric traits including chronotype, risky behaviour, cognition, satiety and sympathetic-parasympathetic activity. The strongest signal in the primary GWAS, the ADAMTS8 locus, was replicated in three independent datasets (N = 1,685-4,321) and was strengthened after meta-analysis. Exome-wide association analyses added evidence to the association for ADAMTS8, and Mendelian randomization showed lower ADAMTS8 expression with larger hypothalamic volumes. The current study advances our understanding of complex structure-function relationships of the hypothalamus and provides insights into the molecular mechanisms that underlie hypothalamic formation.
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Affiliation(s)
- Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Jia You
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Wei Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Bang-Sheng Wu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Yi-Jun Ge
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shi-Tong Xiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Jing Du
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Kevin Kuo
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic, Developmental Psychiatry Centre, King's College London, London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
- AP-HP, Sorbonne University, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Herve Lemaitre
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, Bordeaux, France
| | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hosptalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christian Baeuchl
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China.
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
- Zhangjiang Fudan International Innovation Center, Shanghai, China.
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.
| | - Wei Cheng
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China.
- Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center, Shanghai, China.
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.
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26
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Gros G, Miranda Marcos R, Latrille A, Saitovitch A, Gollier-Briant F, Fossati P, Schmidt L, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Paillère Martinot ML, Artiges E, Nees F, Papadopoulos Orfanos D, Poustka L, Hohmann S, Holz N, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Lemaitre H, Vulser H. Whole-brain gray matter maturation trajectories associated with autistic traits from adolescence to early adulthood. Brain Struct Funct 2024; 229:15-29. [PMID: 37819410 PMCID: PMC10827811 DOI: 10.1007/s00429-023-02710-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 09/03/2023] [Indexed: 10/13/2023]
Abstract
A growing number of evidence supports a continued distribution of autistic traits in the general population. However, brain maturation trajectories of autistic traits as well as the influence of sex on these trajectories remain largely unknown. We investigated the association of autistic traits in the general population, with longitudinal gray matter (GM) maturation trajectories during the critical period of adolescence. We assessed 709 community-based adolescents (54.7% women) at age 14 and 22. After testing the effect of sex, we used whole-brain voxel-based morphometry to measure longitudinal GM volumes changes associated with autistic traits measured by the Social Responsiveness Scale (SRS) total and sub-scores. In women, we observed that the SRS was associated with slower GM volume decrease globally and in the left parahippocampus and middle temporal gyrus. The social communication sub-score correlated with slower GM volume decrease in the left parahippocampal, superior temporal gyrus, and pallidum; and the social cognition sub-score correlated with slower GM volume decrease in the left middle temporal gyrus, the right ventromedial prefrontal and orbitofrontal cortex. No longitudinal association was found in men. Autistic traits in young women were found to be associated with specific brain trajectories in regions of the social brain and the reward circuit known to be involved in Autism Spectrum Disorder. These findings support both the hypothesis of an earlier GM maturation associated with autistic traits in adolescence and of protective mechanisms in women. They advocate for further studies on brain trajectories associated with autistic traits in women.
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Affiliation(s)
- Guillaume Gros
- Control-Interoception-Attention Team, Hôpital Pitié-Salpêtrière Paris, Brain Institute, Inserm/CNRS/Sorbonne University, UMR 7225/U1127, Paris, France
- Department of Adult Psychiatry, Centre du Neurodéveloppement Adulte, AP-HP.Sorbonne Université, Pitié-Salpêtrière Hospital, 47-83 Boulevard de L'Hôpital, 75013, Paris, France
| | - Ruben Miranda Marcos
- Control-Interoception-Attention Team, Hôpital Pitié-Salpêtrière Paris, Brain Institute, Inserm/CNRS/Sorbonne University, UMR 7225/U1127, Paris, France
- Department of Adult Psychiatry, Centre du Neurodéveloppement Adulte, AP-HP.Sorbonne Université, Pitié-Salpêtrière Hospital, 47-83 Boulevard de L'Hôpital, 75013, Paris, France
| | - Anthony Latrille
- Institut Des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076, Bordeaux, France
| | - Ana Saitovitch
- Department of Pediatric Radiology, Necker-Enfants Malades Hospital, AP-HP, Université Paris Cité, Imagine Institute, INSERM U1299, UMR 1163, Paris, France
| | - Fanny Gollier-Briant
- Unité Diagnostique Autisme Ados-Jeunes Adultes (UD3A), CHU and Universite de Nantes, Fondation FondaMental, Nantes, Créteil, France
| | - Philippe Fossati
- Control-Interoception-Attention Team, Hôpital Pitié-Salpêtrière Paris, Brain Institute, Inserm/CNRS/Sorbonne University, UMR 7225/U1127, Paris, France
- Department of Adult Psychiatry, Centre du Neurodéveloppement Adulte, AP-HP.Sorbonne Université, Pitié-Salpêtrière Hospital, 47-83 Boulevard de L'Hôpital, 75013, Paris, France
| | - Liane Schmidt
- Control-Interoception-Attention Team, Hôpital Pitié-Salpêtrière Paris, Brain Institute, Inserm/CNRS/Sorbonne University, UMR 7225/U1127, Paris, France
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, London, UK
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-Sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de La Santé Et de La Recherche Médicale, INSERM U 1299 "Trajectoires Développementales and Psychiatrie", University Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-Sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de La Santé Et de La Recherche Médicale, INSERM U 1299 "Trajectoires Développementales and Psychiatrie", University Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-Sur-Yvette, France
- Department of Child and Adolescent Psychiatry, AP-HP. Sorbonne University, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de La Santé Et de La Recherche Médicale, INSERM U 1299 "Trajectoires Développementales and Psychiatrie", University Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-Sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Hervé Lemaitre
- Institut Des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076, Bordeaux, France
| | - Hélène Vulser
- Control-Interoception-Attention Team, Hôpital Pitié-Salpêtrière Paris, Brain Institute, Inserm/CNRS/Sorbonne University, UMR 7225/U1127, Paris, France.
- Department of Adult Psychiatry, Centre du Neurodéveloppement Adulte, AP-HP.Sorbonne Université, Pitié-Salpêtrière Hospital, 47-83 Boulevard de L'Hôpital, 75013, Paris, France.
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27
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Ge YJ, Wu BS, Zhang Y, Chen SD, Zhang YR, Kang JJ, Deng YT, Ou YN, He XY, Zhao YL, Kuo K, Ma Q, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Lemaitre H, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Feng JF, Tan L, Dong Q, Schumann G, Cheng W, Yu JT. Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits. Nat Hum Behav 2024; 8:164-180. [PMID: 37857874 DOI: 10.1038/s41562-023-01722-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 09/12/2023] [Indexed: 10/21/2023]
Abstract
The cerebral ventricles are recognized as windows into brain development and disease, yet their genetic architectures, underlying neural mechanisms and utility in maintaining brain health remain elusive. Here we aggregated genetic and neuroimaging data from 61,974 participants (age range, 9 to 98 years) in five cohorts to elucidate the genetic basis of ventricular morphology and examined their overlap with neuropsychiatric traits. Genome-wide association analysis in a discovery sample of 31,880 individuals identified 62 unique loci and 785 candidate genes associated with ventricular morphology. We replicated over 80% of loci in a well-matched cohort of lateral ventricular volume. Gene set analysis revealed enrichment of ventricular-trait-associated genes in biological processes and disease pathogenesis during both early brain development and degeneration. We explored the age-dependent genetic associations in cohorts of different age groups to investigate the possible roles of ventricular-trait-associated loci in neurodevelopmental and neurodegenerative processes. We describe the genetic overlap between ventricular and neuropsychiatric traits through comprehensive integrative approaches under correlative and causal assumptions. We propose the volume of the inferior lateral ventricles as a heritable endophenotype to predict the risk of Alzheimer's disease, which might be a consequence of prodromal Alzheimer's disease. Our study provides an advance in understanding the genetics of the cerebral ventricles and demonstrates the potential utility of ventricular measurements in tracking brain disorders and maintaining brain health across the lifespan.
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Affiliation(s)
- Yi-Jun Ge
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi Zhang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ju-Jiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Yue-Ting Deng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Xiao-Yu He
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yong-Li Zhao
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Kevin Kuo
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qing Ma
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 'Trajectoires développementales & psychiatrie', University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 'Trajectoires développementales & psychiatrie', University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
- AP-HP, Sorbonne University, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 'Trajectoires développementales & psychiatrie', University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Herve Lemaitre
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, Bordeaux, France
| | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Beijing, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Zhangjiang Fudan International Innovation Center, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Qiang Dong
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine, Institute for Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Beijing, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China.
- Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer 79 Center, Shanghai, China.
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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28
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Bagautdinova J, Bourque J, Sydnor VJ, Cieslak M, Alexander-Bloch AF, Bertolero MA, Cook PA, Gur RE, Gur RC, Hu F, Larsen B, Moore TM, Radhakrishnan H, Roalf DR, Shinohara RT, Tapera TM, Zhao C, Sotiras A, Davatzikos C, Satterthwaite TD. Development of white matter fiber covariance networks supports executive function in youth. Cell Rep 2023; 42:113487. [PMID: 37995188 PMCID: PMC10795769 DOI: 10.1016/j.celrep.2023.113487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 10/05/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023] Open
Abstract
During adolescence, the brain undergoes extensive changes in white matter structure that support cognition. Data-driven approaches applied to cortical surface properties have led the field to understand brain development as a spatially and temporally coordinated mechanism that follows hierarchically organized gradients of change. Although white matter development also appears asynchronous, previous studies have relied largely on anatomical tract-based atlases, precluding a direct assessment of how white matter structure is spatially and temporally coordinated. Harnessing advances in diffusion modeling and machine learning, we identified 14 data-driven patterns of covarying white matter structure in a large sample of youth. Fiber covariance networks aligned with known major tracts, while also capturing distinct patterns of spatial covariance across distributed white matter locations. Most networks showed age-related increases in fiber network properties, which were also related to developmental changes in executive function. This study delineates data-driven patterns of white matter development that support cognition.
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Affiliation(s)
- Joëlle Bagautdinova
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Josiane Bourque
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Valerie J Sydnor
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew Cieslak
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Aaron F Alexander-Bloch
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Maxwell A Bertolero
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Philip A Cook
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Fengling Hu
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bart Larsen
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tyler M Moore
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hamsanandini Radhakrishnan
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David R Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Russel T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tinashe M Tapera
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Chenying Zhao
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Aristeidis Sotiras
- Department of Radiology and Institute for Informatics, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63130, USA
| | - Christos Davatzikos
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Theodore D Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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29
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Schmilovich Z, Bourque VR, Douard E, Huguet G, Poulain C, Ross JP, Alipour P, Castonguay CÉ, Younis N, Jean-Louis M, Saci Z, Pausova Z, Paus T, Schuman G, Porteous D, Davies G, Redmond P, Harris SE, Deary IJ, Whalley H, Hayward C, Dion PA, Jacquemont S, Rouleau GA. Copy-number variants and polygenic risk for intelligence confer risk for autism spectrum disorder irrespective of their effects on cognitive ability. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.29.23299190. [PMID: 38076919 PMCID: PMC10705642 DOI: 10.1101/2023.11.29.23299190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Rare copy number variants (CNVs) and polygenic risk for intelligence (PRS-IQ) both confer risk for autism spectrum disorder (ASD) but have opposing effects on cognitive ability. The field has struggled to disentangle the effects of these two classes of genomic variants on cognitive ability from their effects on ASD risk, in part because previous studies did not include controls with cognitive measures. We aim to investigate the impact of these genomic variants on ASD risk while adjusting for their known effects on cognitive ability. In a cohort of 8,426 subjects with ASD and 169,804 controls with cognitive assessments, we found that rare coding CNVs and PRS-IQ increased ASD risk, even after adjusting for their effects on cognitive ability. Bottom decile PRS-IQ and CNVs both decreased cognitive ability but had opposing effects on ASD risk. Models combining both classes of variants showed that the effects of rare CNVs and PRS-IQ on ASD risk and cognitive ability were largely additive, further suggesting that risk for ASD is conferred independently from its effects on cognitive ability. Despite imparting mostly additive effects on ASD risk, rare CNVs and PRS-IQ showed opposing effects on core and associated features and developmental history among subjects with ASD. Our findings suggest that cognitive ability itself may not be the factor driving the underlying risk for ASD conferred by these two classes of genomic variants. In other words, ASD risk and cognitive ability may be two distinct manifestations of CNVs and PRS-IQ. This study also highlights the challenge of understanding how genetic risk for ASD maps onto its dimensional traits.
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Affiliation(s)
- Zoe Schmilovich
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
| | - Vincent-Raphaël Bourque
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
- Département de Pédiatrie, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Elise Douard
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
- Département de Pédiatrie, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Guillaume Huguet
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
| | - Cécile Poulain
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
- Département de Pédiatrie, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Jay P. Ross
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
| | - Paria Alipour
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
| | - Charles-Étienne Castonguay
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
| | - Nadine Younis
- Département de Pédiatrie, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Martineau Jean-Louis
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
| | - Zohra Saci
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Tomas Paus
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
- Departments of Psychiatry of Neuroscience, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Gunter Schuman
- Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England
| | - David Porteous
- Lothian Birth Cohorts group, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, UK
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, UK
| | - Gail Davies
- Lothian Birth Cohorts group, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, UK
| | - Paul Redmond
- Lothian Birth Cohorts group, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, UK
| | - Sarah E. Harris
- Lothian Birth Cohorts group, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, UK
| | - Ian J. Deary
- Lothian Birth Cohorts group, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, UK
| | - Heather Whalley
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, UK
| | - Caroline Hayward
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, UK
| | - Patrick A. Dion
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, Canada
| | - Sébastien Jacquemont
- Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
- Département de Pédiatrie, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Guy A. Rouleau
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, Canada
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30
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Freichel R, Lenartowicz A, Douw L, Kruschwitz JD, Banaschewski T, Barker GJ, Bokde AL, Desrivières S, Flor H, Grigis A, Garavan H, Heinz A, Brühl R, Martinot JL, Paillère Martinot ML, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Holz N, Baeuchl C, Smolka MN, Vaidya N, Whelan R, Frouin V, Schumann G, Walter H, Blanken TF. Unravelling Robust Brain-Behavior Links of Depressive Symptoms Through Granular Network Models: Understanding Heterogeneity and Clinical Implications. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.13.23295278. [PMID: 38045393 PMCID: PMC10690338 DOI: 10.1101/2023.09.13.23295278] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Background Depressive symptoms are highly prevalent, present in heterogeneous symptom patterns, and share diverse neurobiological underpinnings. Understanding the links between psychopathological symptoms and biological factors is critical in elucidating its etiology and persistence. We aimed to evaluate the utility of using symptom-brain networks to parse the heterogeneity of depressive symptomatology in a large adolescent sample. Methods We used data from the third wave of the IMAGEN study, a multi-center panel cohort study involving 1,317 adolescents (52.49% female, mean±SD age=18.5±0.72). Two network models were estimated: one including an overall depressive symptom severity sum score based on the Adolescent Depression Rating Scale (ADRS), and one incorporating individual ADRS symptom/item scores. Both networks included measures of cortical thickness in several regions (insula, cingulate, mOFC, fusiform gyrus) and hippocampal volume derived from neuroimaging. Results The network based on individual symptom scores revealed associations between cortical thickness measures and specific symptoms, obscured when using an aggregate depression severity score. Notably, the insula's cortical thickness showed negative associations with cognitive dysfunction (partial cor.=-0.15); the cingulate's cortical thickness showed negative associations with feelings of worthlessness (partial cor. = -0.10), and mOFC was negatively associated with anhedonia (partial cor. = -0.05). Limitations This cross-sectional study included participants who were relatively healthy and relied on the self-reported assessment of depression symptoms. Conclusions This study showcases the utility of network models in parsing heterogeneity in depressive symptoms, linking individual symptoms to specific neural substrates. We outline the next steps to integrate neurobiological and cognitive markers to unravel MDD's phenotypic heterogeneity.
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Affiliation(s)
- René Freichel
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
- Department of Psychology, Harvard University, Cambridge, United States
| | - Agatha Lenartowicz
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, United States
| | - Linda Douw
- Department of Anatomy and Neurosciences, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Johann D. Kruschwitz
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gareth J. Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Arun L.W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King’s College London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 ‘Trajectoires développementales en psychiatrie’, Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 ‘Trajectoires développementales en psychiatrie’, Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- AP-HP, Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 ‘Trajectoires développementales en psychiatrie’, Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Institute of Medical Psychology and Medical Sociology, Kiel University, Kiel, Germany
| | | | - Tomáš Paus
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christian Baeuchl
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Precision Medicine, Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | | | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Tessa F. Blanken
- Department of Psychological Methods, University of Amsterdam, 1018 WT, Amsterdam, The Netherlands
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31
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Qi L, Zhang Z, Robinson L, Bobou M, Gourlan C, Winterer J, Adams R, Agunbiade K, Zhang Y, King S, Vaidya N, Artiges E, Banaschewski T, Bokde ALW, Broulidakis MJ, Brühl R, Flor H, Fröhner JH, Garavan H, Grigis A, Heinz A, Hohmann S, Martinot MLP, Millenet S, Nees F, van Noort BM, Orfanos DP, Poustka L, Sinclair J, Smolka MN, Whelan R, Stringaris A, Walter H, Martinot JL, Schumann G, Schmidt U, Desrivières S. Differing impact of the COVID-19 pandemic on youth mental health: combined population and clinical study. BJPsych Open 2023; 9:e217. [PMID: 37981567 PMCID: PMC10753963 DOI: 10.1192/bjo.2023.601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/25/2023] [Accepted: 09/29/2023] [Indexed: 11/21/2023] Open
Abstract
BACKGROUND Identifying youths most at risk to COVID-19-related mental illness is essential for the development of effective targeted interventions. AIMS To compare trajectories of mental health throughout the pandemic in youth with and without prior mental illness and identify those most at risk of COVID-19-related mental illness. METHOD Data were collected from individuals aged 18-26 years (N = 669) from two existing cohorts: IMAGEN, a population-based cohort; and ESTRA/STRATIFY, clinical cohorts of individuals with pre-existing diagnoses of mental disorders. Repeated COVID-19 surveys and standardised mental health assessments were used to compare trajectories of mental health symptoms from before the pandemic through to the second lockdown. RESULTS Mental health trajectories differed significantly between cohorts. In the population cohort, depression and eating disorder symptoms increased by 33.9% (95% CI 31.78-36.57) and 15.6% (95% CI 15.39-15.68) during the pandemic, respectively. By contrast, these remained high over time in the clinical cohort. Conversely, trajectories of alcohol misuse were similar in both cohorts, decreasing continuously (a 15.2% decrease) during the pandemic. Pre-pandemic symptom severity predicted the observed mental health trajectories in the population cohort. Surprisingly, being relatively healthy predicted increases in depression and eating disorder symptoms and in body mass index. By contrast, those initially at higher risk for depression or eating disorders reported a lasting decrease. CONCLUSIONS Healthier young people may be at greater risk of developing depressive or eating disorder symptoms during the COVID-19 pandemic. Targeted mental health interventions considering prior diagnostic risk may be warranted to help young people cope with the challenges of psychosocial stress and reduce the associated healthcare burden.
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Affiliation(s)
- Lu Qi
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Zuo Zhang
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Lauren Robinson
- Department of Psychological Medicine, Section for Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; and South London and Maudsley NHS Foundation Trust, London, UK
| | - Marina Bobou
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Chantal Gourlan
- Institut National de la Santé et de la Recherche Médicale (INSERM) Research Unit 1299 ‘Trajectoires développementales en psychiatrie’, Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Jeanne Winterer
- Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Charité Mitte, Berlin, Germany; and Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Rebecca Adams
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kofoworola Agunbiade
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Yuning Zhang
- Psychology Department, University of Southampton, Southampton, UK
| | - Sinead King
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; and School of Medicine, Center for Neuroimaging, Cognition and Genomics, National University of Ireland, Galway, Ireland
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale Research Unit 1299 ‘Trajectoires développementales en psychiatrie’, Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, CentreNational de la Recherche Scientifique 9010, Centre Borelli, Gif-sur-Yvette, France; and Department of Psychiatry, Etablissement Public de Santé Barthélemy Durand, Etampes, France
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun L. W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - M. John Broulidakis
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK; and Department of Psychology, College of Science, Northeastern University, Boston, USA
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt, Braunschweig, Berlin, Germany
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; and Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont, USA
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale Research Unit 1299 ‘Trajectoires développementales en psychiatrie’, Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France; and Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, AP-HP, Sorbonne University, Paris, France
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; and Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | | | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Julia Sinclair
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Argyris Stringaris
- Division of Psychiatry and Department of Clinical, Educational & Health Psychology, University College London, London, UK
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Charité Mitte, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale Research Unit 1299 ‘Trajectoires développementales en psychiatrie’, Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany; and Institut National de la Santé et de la Recherche Médicale Research Unit 1299 ‘Trajectoires développementales en psychiatrie’, Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Ulrike Schmidt
- Institut National de la Santé et de la Recherche Médicale (INSERM) Research Unit 1299 ‘Trajectoires développementales en psychiatrie’, Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Sylvane Desrivières
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Korologou-Linden R, Schuurmans IK, Cecil CAM, White T, Banaschewski T, Bokde ALW, Desrivières S, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Holz N, Fröhner JH, Smolka M, Walter H, Winterer J, Whelan R, Schumann G, Howe LD, Ben-Shlomo Y, Davies NM, Anderson EL. The bidirectional effects between cognitive ability and brain morphology: A life course Mendelian randomization analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.17.23297145. [PMID: 38014064 PMCID: PMC10680890 DOI: 10.1101/2023.11.17.23297145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Introduction Little is understood about the dynamic interplay between brain morphology and cognitive ability across the life course. Additionally, most existing research has focused on global morphology measures such as estimated total intracranial volume, mean thickness, and total surface area. Methods Mendelian randomization was used to estimate the bidirectional effects between cognitive ability, global and regional measures of cortical thickness and surface area, estimated total intracranial volume, total white matter, and the volume of subcortical structures (N=37,864). Analyses were stratified for developmental periods (childhood, early adulthood, mid-to-late adulthood; age range: 8-81 years). Results The earliest effects were observed in childhood and early adulthood in the frontoparietal lobes. A bidirectional relationship was identified between higher cognitive ability, larger estimated total intracranial volume (childhood, mid-to-late adulthood) and total surface area (all life stages). A thicker posterior cingulate cortex and a larger surface area in the caudal middle frontal cortex and temporal pole were associated with greater cognitive ability. Contrary, a thicker temporal pole was associated with lower cognitive ability. Discussion Stable effects of cognitive ability on brain morphology across the life course suggests that childhood is potentially an important window for intervention.
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33
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Yip SW, Lichenstein SD, Liang Q, Chaarani B, Dager A, Pearlson G, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Garavan H. Brain Networks and Adolescent Alcohol Use. JAMA Psychiatry 2023; 80:1131-1141. [PMID: 37647053 PMCID: PMC10469292 DOI: 10.1001/jamapsychiatry.2023.2949] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 05/15/2023] [Indexed: 09/01/2023]
Abstract
Importance Alcohol misuse in adolescence is a leading cause of disability and mortality in youth and is associated with higher risk for alcohol use disorder. Brain mechanisms underlying risk of alcohol misuse may inform prevention and intervention efforts. Objective To identify neuromarkers of alcohol misuse using a data-driven approach, with specific consideration of neurodevelopmental sex differences. Design, Setting, and Participants Longitudinal multisite functional magnetic resonance imaging (fMRI) data collected at ages 14 and 19 years were used to assess whole-brain patterns of functional organization associated with current and future alcohol use risk as measured by the Alcohol Use Disorder Identification Test (AUDIT). Primary data were collected by the IMAGEN consortium, a European multisite study of adolescent neurodevelopment. Model generalizability was further tested using data acquired in a single-site study of college alcohol consumption conducted in the US. The primary sample was a developmental cohort of 1359 adolescents with neuroimaging, phenotyping, and alcohol use data. Model generalizability was further assessed in a separate cohort of 114 individuals. Main Outcomes and Measures Brain-behavior model accuracy, as defined by the correspondence between model-predicted and actual AUDIT scores in held-out testing data, Bonferroni corrected across the number of models run at each time point, 2-tailed α < .008, as determined via permutation testing. Results Among 1359 individuals in the study, the mean (SD) age was 14.42 (0.40) years, and 729 individuals (54%) were female. The data-driven, whole-brain connectivity approach identified networks associated with vulnerability for future and current AUDIT-defined alcohol use risk (primary outcome, as specified above, future: ρ, 0.22; P < .001 and present: ρ, 0.27; P < .001). Results further indicated sex divergence in the accuracies of brain-behavior models, such that female-only models consistently outperformed male-only models. Specifically, female-only models identified networks conferring vulnerability for future and current severity using data acquired during both reward and inhibitory fMRI tasks. In contrast, male-only models were successful in accurately identifying networks using data acquired during the inhibitory control-but not reward-task, indicating domain specificity of alcohol use risk networks in male adolescents only. Conclusions and Relevance These data suggest that interventions focusing on inhibitory control processes may be effective in combating alcohol use risk in male adolescents but that both inhibitory and reward-related processes are likely of relevance to alcohol use behaviors in female adolescents. They further identify novel networks of alcohol use risk in youth, which may be used to identify adolescents who are at risk and inform intervention efforts.
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Affiliation(s)
- Sarah W. Yip
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, Connecticut
- Child Study Center, Yale School of Medicine, New Haven, Connecticut
| | - Sarah D. Lichenstein
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Qinghao Liang
- Department of Biomedical Engineering, Yale School of Medicine, New Haven, Connecticut
| | - Bader Chaarani
- Department of Psychiatry, University of Vermont, Burlington
| | - Alecia Dager
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Godfrey Pearlson
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, Connecticut
- Department of Neuroscience, Yale School of Medicine, New Haven, Connecticut
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun L. W. Bokde
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Sylvane Desrivières
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy Campus Charité Mitte, Charité – Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 Trajectoires développementales & psychiatrie, University Paris-Saclay, University Paris Cité, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 Trajectoires développementales & psychiatrie, University Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, and AP-HP, Sorbonne University, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 Trajectoires développementales & psychiatrie, University Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, and Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | | | - Tomáš Paus
- Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany
| | - Henrik Walter
- Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine, Institute for Science and Technology of Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington
- Department of Psychology, University of Vermont, Burlington
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Liao Z, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Paillère Martinot ML, Artiges E, Nees F, Papadopoulos Orfanos D, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Paus T. Hemispheric asymmetry in cortical thinning reflects intrinsic organization of the neurotransmitter systems and homotopic functional connectivity. Proc Natl Acad Sci U S A 2023; 120:e2306990120. [PMID: 37831741 PMCID: PMC10589642 DOI: 10.1073/pnas.2306990120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 09/07/2023] [Indexed: 10/15/2023] Open
Abstract
Hemispheric lateralization and its origins have been of great interest in neuroscience for over a century. The left-right asymmetry in cortical thickness may stem from differential maturation of the cerebral cortex in the two hemispheres. Here, we investigated the spatial pattern of hemispheric differences in cortical thinning during adolescence, and its relationship with the density of neurotransmitter receptors and homotopic functional connectivity. Using longitudinal data from IMAGEN study (N = 532), we found that many cortical regions in the frontal and temporal lobes thinned more in the right hemisphere than in the left. Conversely, several regions in the occipital and parietal lobes thinned less in the right (vs. left) hemisphere. We then revealed that regions thinning more in the right (vs. left) hemispheres had higher density of neurotransmitter receptors and transporters in the right (vs. left) side. Moreover, the hemispheric differences in cortical thinning were predicted by homotopic functional connectivity. Specifically, regions with stronger homotopic functional connectivity showed a more symmetrical rate of cortical thinning between the left and right hemispheres, compared with regions with weaker homotopic functional connectivity. Based on these findings, we suggest that the typical patterns of hemispheric differences in cortical thinning may reflect the intrinsic organization of the neurotransmitter systems and related patterns of homotopic functional connectivity.
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Affiliation(s)
- Zhijie Liao
- Research Centre of Sainte-Justine University Hospital, Montreal, QCH3T 1C5, Canada
- Department of Psychiatry and Addictology, University of Montreal, Montreal, QCH3T 1J4, Canada
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim68159, Germany
| | - Arun L. W. Bokde
- Discipline of Psychiatry, School of Medicine, Trinity College Dublin, DublinD02 PN40, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, DublinD02 PN40, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic & Developmental Psychiatry Centre, King’s College London, LondonSE5 8AF, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim69117, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim68131, Germany
| | - Antoine Grigis
- NeuroSpin, Energies and Atomic Energy Commission, Université Paris-Saclay, Paris F-91191, France
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT05405
- Department of Psychology, University of Vermont, Burlington, VT05405
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, NottinghamNG7 2RD, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin10117, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin38116, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 “Developmental trajectories & psychiatry” Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Paris75006, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 “Developmental trajectories & psychiatry” Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Paris75006, France
- Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, AP-HP.Sorbonne Université, Paris75006, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 “Developmental trajectories & psychiatry” Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Paris75006, France
- Etablissement Public de Santé Barthélemy Durand, Paris91700, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim68159, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim69117, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel24118, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen37075, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim68159, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim68159, Germany
| | - Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden01087, Germany
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden01087, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin10117, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, DublinD02 PN40, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Institute for Science and Technology of Brain-inspired Intelligence, Fudan University, Shanghai200437, Peoples Republic of China
- Centre for Population Neuroscience and Precision Medicine, Charite Universitätsmedizin Berlin, Berlin10117, Germany
| | - Tomáš Paus
- Research Centre of Sainte-Justine University Hospital, Montreal, QCH3T 1C5, Canada
- Department of Psychiatry and Addictology, University of Montreal, Montreal, QCH3T 1J4, Canada
- Department of Neuroscience, University of Montreal, Montreal, QCH3T 1J4, Canada
| | - IMAGEN Consortium
- Research Centre of Sainte-Justine University Hospital, Montreal, QCH3T 1C5, Canada
- Department of Psychiatry and Addictology, University of Montreal, Montreal, QCH3T 1J4, Canada
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim68159, Germany
- Discipline of Psychiatry, School of Medicine, Trinity College Dublin, DublinD02 PN40, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, DublinD02 PN40, Ireland
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic & Developmental Psychiatry Centre, King’s College London, LondonSE5 8AF, United Kingdom
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim69117, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim68131, Germany
- NeuroSpin, Energies and Atomic Energy Commission, Université Paris-Saclay, Paris F-91191, France
- Department of Psychiatry, University of Vermont, Burlington, VT05405
- Department of Psychology, University of Vermont, Burlington, VT05405
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, NottinghamNG7 2RD, United Kingdom
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin10117, Germany
- Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin38116, Germany
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 “Developmental trajectories & psychiatry” Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Paris75006, France
- Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, AP-HP.Sorbonne Université, Paris75006, France
- Etablissement Public de Santé Barthélemy Durand, Paris91700, France
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel24118, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen37075, Germany
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden01087, Germany
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, DublinD02 PN40, Ireland
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Institute for Science and Technology of Brain-inspired Intelligence, Fudan University, Shanghai200437, Peoples Republic of China
- Centre for Population Neuroscience and Precision Medicine, Charite Universitätsmedizin Berlin, Berlin10117, Germany
- Department of Neuroscience, University of Montreal, Montreal, QCH3T 1J4, Canada
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35
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Polemiti E, Hese S, Schepanski K, Yuan J, Schumann G. How does the macroenvironment influence brain and behaviour - a review of current status and future perspectives. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.09.23296785. [PMID: 37873310 PMCID: PMC10593044 DOI: 10.1101/2023.10.09.23296785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
The environment influences mental health, both detrimentally and beneficially. Current research has emphasized the individual psychosocial 'microenvironment'. Less attention has been paid to 'macro-environmental' challenges including climate change, pollution, urbanicity and socioeconomic disparity. With the advent of large-scale big-data cohorts and an increasingly dense mapping of macroenvironmental parameters, we are now in a position to characterise the relation between macroenvironment, brain, and behaviour across different geographic and cultural locations globally. This review synthesises findings from recent epidemiological and neuroimaging studies, aiming to provide a comprehensive overview of the existing evidence between the macroenvironment and the structure and functions of the brain, with a particular emphasis on its implications for mental illness. We discuss putative underlying mechanisms and address the most common exposures of the macroenvironment. Finally, we identify critical areas for future research to enhance our understanding of the aetiology of mental illness and to inform effective interventions for healthier environments and mental health promotion.
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Affiliation(s)
- Elli Polemiti
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience, Charité, Universitätsmedizin Berlin, Germany
| | - Soeren Hese
- Institute of Geography, Friedrich Schiller University Jena, Germany
| | | | - Jiacan Yuan
- Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences & CMA-FDU Joint Laboratory of Marine Meteorology & IRDR-ICOE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Gunter Schumann
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience, Charité, Universitätsmedizin Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
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36
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Schabdach JM, Schmitt JE, Sotardi S, Vossough A, Andronikou S, Roberts TP, Huang H, Padmanabhan V, Ortiz-Rosa A, Gardner M, Covitz S, Bedford SA, Mandal AS, Chaiyachati BH, White SR, Bullmore E, Bethlehem RAI, Shinohara RT, Billot B, Iglesias JE, Ghosh S, Gur RE, Satterthwaite TD, Roalf D, Seidlitz J, Alexander-Bloch A. Brain Growth Charts for Quantitative Analysis of Pediatric Clinical Brain MRI Scans with Limited Imaging Pathology. Radiology 2023; 309:e230096. [PMID: 37906015 PMCID: PMC10623207 DOI: 10.1148/radiol.230096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 08/21/2023] [Accepted: 09/12/2023] [Indexed: 11/02/2023]
Abstract
Background Clinically acquired brain MRI scans represent a valuable but underused resource for investigating neurodevelopment due to their technical heterogeneity and lack of appropriate controls. These barriers have curtailed retrospective studies of clinical brain MRI scans compared with more costly prospectively acquired research-quality brain MRI scans. Purpose To provide a benchmark for neuroanatomic variability in clinically acquired brain MRI scans with limited imaging pathology (SLIPs) and to evaluate if growth charts from curated clinical MRI scans differed from research-quality MRI scans or were influenced by clinical indication for the scan. Materials and Methods In this secondary analysis of preexisting data, clinical brain MRI SLIPs from an urban pediatric health care system (individuals aged ≤22 years) were scanned across nine 3.0-T MRI scanners. The curation process included manual review of signed radiology reports and automated and manual quality review of images without gross pathology. Global and regional volumetric imaging phenotypes were measured using two image segmentation pipelines, and clinical brain growth charts were quantitatively compared with charts derived from a large set of research controls in the same age range by means of Pearson correlation and age at peak volume. Results The curated clinical data set included 532 patients (277 male; median age, 10 years [IQR, 5-14 years]; age range, 28 days after birth to 22 years) scanned between 2005 and 2020. Clinical brain growth charts were highly correlated with growth charts derived from research data sets (22 studies, 8346 individuals [4947 male]; age range, 152 days after birth to 22 years) in terms of normative developmental trajectories predicted by the models (median r = 0.979). Conclusion The clinical indication of the scans did not significantly bias the output of clinical brain charts. Brain growth charts derived from clinical controls with limited imaging pathology were highly correlated with brain charts from research controls, suggesting the potential of curated clinical MRI scans to supplement research data sets. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Ertl-Wagner and Pai in this issue.
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Affiliation(s)
- Jenna M. Schabdach
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - J. Eric Schmitt
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Susan Sotardi
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Arastoo Vossough
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Savvas Andronikou
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Timothy P. Roberts
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Hao Huang
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Viveknarayanan Padmanabhan
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Alfredo Ortiz-Rosa
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Margaret Gardner
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Sydney Covitz
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Saashi A. Bedford
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Ayan S. Mandal
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Barbara H. Chaiyachati
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Simon R. White
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Edward Bullmore
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Richard A. I. Bethlehem
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Russell T. Shinohara
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Benjamin Billot
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - J. Eugenio Iglesias
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Satrajit Ghosh
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Raquel E. Gur
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Theodore D. Satterthwaite
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - David Roalf
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Jakob Seidlitz
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - Aaron Alexander-Bloch
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
| | - for the Lifespan Brain Chart Consortium
- From the Lifespan Brain Institute (LiBI) of the Children’s
Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S.,
A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child
and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.),
Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical
Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and
Health Informatics (J.E.S., S.S., V.P.), Children’s Hospital of
Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G.,
T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A.,
T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC),
Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.),
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa;
Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology
(R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for
Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging
and Visualization Center, Department of Biostatistics, Epidemiology and
Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B.,
R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania,
Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical
Physics and Biomedical Engineering, University College London, London, United
Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of
Radiology (J.E.I.) and Department of Otolaryngology–Head and Neck Surgery
(S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass;
and McGovern Institute for Brain Research (S.G.) and Computer Science &
Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of
Technology, Cambridge, Mass
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37
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Freichel R, Pfirrmann J, Cousjin J, de Jong P, Franken I, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Heinz A, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Poustka L, Hohmann S, Fröhner JH, Smolka MN, Vaidya N, Whelan R, Schumann G, Walter H, Veer IM, Wiers RW. Drinking motives, personality traits and life stressors-identifying pathways to harmful alcohol use in adolescence using a panel network approach. Addiction 2023; 118:1908-1919. [PMID: 37157052 DOI: 10.1111/add.16231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 04/18/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND AND AIMS Models of alcohol use risk suggest that drinking motives represent the most proximal risk factors on which more distal factors converge. However, little is known about how distinct risk factors influence each other and alcohol use on different temporal scales (within a given moment versus over time). We aimed to estimate the dynamic associations of distal (personality and life stressors) and proximal (drinking motives) risk factors, and their relationship to alcohol use in adolescence and early adulthood using a novel graphical vector autoregressive (GVAR) panel network approach. DESIGN, SETTING AND CASES We estimated panel networks on data from the IMAGEN study, a longitudinal European cohort study following adolescents across three waves (aged 16, 19 and 22 years). Our sample consisted of 1829 adolescents (51% females) who reported alcohol use on at least one assessment wave. MEASUREMENTS Risk factors included personality traits (NEO-FFI: neuroticism, extraversion, openness, agreeableness and conscientiousness; SURPS: impulsivity and sensation-seeking), stressful life events (LEQ: sum scores of stressful life events), and drinking motives [drinking motives questionnaire (DMQ): social, enhancement, conformity, coping anxiety and coping depression]. We assessed alcohol use [alcohol use disorders identification test (AUDIT): quantity and frequency] and alcohol-related problems (AUDIT: related problems). FINDINGS Within a given moment, social [partial correlation (pcor) = 0.17] and enhancement motives (pcor = 0.15) co-occurred most strongly with drinking quantity and frequency, while coping depression motives (pcor = 0.13), openness (pcor = 0.05) and impulsivity (pcor = 0.09) were related to alcohol-related problems. The temporal network showed no predictive associations between distal risk factors and drinking motives. Social motives (beta = 0.21), previous alcohol use (beta = 0.11) and openness (beta = 0.10) predicted alcohol-related problems over time (all P < 0.01). CONCLUSIONS Heavy and frequent alcohol use, along with social drinking motives, appear to be key targets for preventing the development of alcohol-related problems throughout late adolescence. We found no evidence for personality traits and life stressors predisposing towards distinct drinking motives over time.
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Affiliation(s)
- René Freichel
- Addiction Development and Psychopathology (ADAPT)-lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Janine Pfirrmann
- Addiction Development and Psychopathology (ADAPT)-lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Janna Cousjin
- Center for Substance Use and Addiction Research. (CESAR), Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Peter de Jong
- Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Groningen, The Netherlands
| | - Ingmar Franken
- Center for Substance Use and Addiction Research. (CESAR), Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 'Trajectoires développementales en psychiatrie', Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 'Trajectoires développementales en psychiatrie', Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- AP-HP, Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 'Trajectoires développementales en psychiatrie', Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Institute of Medical Psychology and Medical Sociology, Kiel University, Kiel, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Ilya M Veer
- Addiction Development and Psychopathology (ADAPT)-lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Reinout W Wiers
- Addiction Development and Psychopathology (ADAPT)-lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
- Center for Urban Mental Health, University of Amsterdam, Amsterdam, The Netherlands
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38
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Schumann G, Andreassen OA, Banaschewski T, Calhoun VD, Clinton N, Desrivieres S, Brandlistuen RE, Feng J, Hese S, Hitchen E, Hoffmann P, Jia T, Jirsa V, Marquand AF, Nees F, Nöthen MM, Novarino G, Polemiti E, Ralser M, Rapp M, Schepanski K, Schikowski T, Slater M, Sommer P, Stahl BC, Thompson PM, Twardziok S, van der Meer D, Walter H, Westlye L. Addressing Global Environmental Challenges to Mental Health Using Population Neuroscience: A Review. JAMA Psychiatry 2023; 80:1066-1074. [PMID: 37610741 DOI: 10.1001/jamapsychiatry.2023.2996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Importance Climate change, pollution, urbanization, socioeconomic inequality, and psychosocial effects of the COVID-19 pandemic have caused massive changes in environmental conditions that affect brain health during the life span, both on a population level as well as on the level of the individual. How these environmental factors influence the brain, behavior, and mental illness is not well known. Observations A research strategy enabling population neuroscience to contribute to identify brain mechanisms underlying environment-related mental illness by leveraging innovative enrichment tools for data federation, geospatial observation, climate and pollution measures, digital health, and novel data integration techniques is described. This strategy can inform innovative treatments that target causal cognitive and molecular mechanisms of mental illness related to the environment. An example is presented of the environMENTAL Project that is leveraging federated cohort data of over 1.5 million European citizens and patients enriched with deep phenotyping data from large-scale behavioral neuroimaging cohorts to identify brain mechanisms related to environmental adversity underlying symptoms of depression, anxiety, stress, and substance misuse. Conclusions and Relevance This research will lead to the development of objective biomarkers and evidence-based interventions that will significantly improve outcomes of environment-related mental illness.
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Affiliation(s)
- Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, Georgia
| | | | - Sylvane Desrivieres
- Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London, United Kingdom
| | | | - Jianfeng Feng
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Soeren Hese
- Institute of Geography, Friedrich Schiller University Jena, Jena, Germany
| | - Esther Hitchen
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University Hospital of Bonn, Bonn, Germany
| | - Tianye Jia
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Viktor Jirsa
- Institut National de la Santé et de la Recherche Médicale (Inserm), Institut de Neurosciences des Systèmes (INS) UMR1106, Aix Marseille Université, Marseille, France
| | | | - Frauke Nees
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital of Bonn, Bonn, Germany
| | - Gaia Novarino
- Institute of Science and Technology, Klosterneuburg, Austria
| | - Elli Polemiti
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Markus Ralser
- Institute of Biochemistry Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Rapp
- Department for Social and Preventive Medicine, University of Potsdam, Potsdam, Germany
| | | | - Tamara Schikowski
- NAKO, Leibniz Institute for Environmental Medicine, Duesseldorf, Germany
| | - Mel Slater
- Campus de Mundet, ICREA-University of Barcelona, Barcelona, Spain
- Department of Computer Science, University College London, London, United Kingdom
| | | | - Bernd Carsten Stahl
- School of Computer Science, University of Nottingham, Nottingham, United Kingdom
| | - Paul M Thompson
- Imaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, Los Angeles, California
| | - Sven Twardziok
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Henrik Walter
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Lars Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
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39
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Rane RP, Musial MPM, Beck A, Rapp M, Schlagenhauf F, Banaschewski T, Bokde ALW, Paillère Martinot ML, Artiges E, Nees F, Lemaitre H, Hohmann S, Schumann G, Walter H, Heinz A, Ritter K. Uncontrolled eating and sensation-seeking partially explain the prediction of future binge drinking from adolescent brain structure. Neuroimage Clin 2023; 40:103520. [PMID: 37837892 PMCID: PMC10585345 DOI: 10.1016/j.nicl.2023.103520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 09/22/2023] [Accepted: 09/27/2023] [Indexed: 10/16/2023]
Abstract
Binge drinking behavior in early adulthood can be predicted from brain structure during early adolescence with an accuracy of above 70%. We investigated whether this accurate prospective prediction of alcohol misuse behavior can be explained by psychometric variables such as personality traits or mental health comorbidities in a data-driven approach. We analyzed a subset of adolescents who did not have any prior binge drinking experience at age 14 (IMAGEN dataset, n = 555, 52.61% female). Participants underwent structural magnetic resonance imaging at age 14, binge drinking assessments at ages 14 and 22, and psychometric questionnaire assessments at ages 14 and 22. We derived structural brain features from T1-weighted magnetic resonance and diffusion tensor imaging. Using Machine Learning (ML), we predicted binge drinking (age 22) from brain structure (age 14) and used counterbalancing with oversampling to systematically control for 110 + variables from a wide range of social, personality, and other psychometric characteristics potentially associated with binge drinking. We evaluated if controlling for any variable resulted in a significant reduction in ML prediction accuracy. Sensation-seeking (-13.98 ± 1.68%), assessed via the Substance Use Risk Profile Scale at age 14, and uncontrolled eating (-13.98 ± 3.28%), assessed via the Three-Factor-Eating-Questionnaire at age 22, led to significant reductions in mean balanced prediction accuracy upon controlling for them. Thus, sensation-seeking and binge eating could partially explain the prediction of future binge drinking from adolescent brain structure. Our findings suggest that binge drinking and binge eating at age 22 share common neurobiological precursors discovered by the ML model. These neurobiological precursors seem to be associated with sensation-seeking at age 14. Our results facilitate early detection of increased risk for binge drinking and inform future clinical research in trans-diagnostic prevention approaches for adolescent alcohol misuse.
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Affiliation(s)
- Roshan Prakash Rane
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Humboldt-Universität zu Berlin, Faculty of Life Sciences, Department of Psychology, Unter den Linden 6, 10099 Berlin, Germany.
| | - Milena Philomena Maria Musial
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Humboldt-Universität zu Berlin, Faculty of Life Sciences, Department of Psychology, Unter den Linden 6, 10099 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience, Charitéplatz 1, 10117 Berlin, Germany.
| | - Anne Beck
- Health and Medical University, Campus Potsdam, Faculty of Health, Olympischer Weg 1, 14471 Potsdam, Germany
| | - Michael Rapp
- Social and Preventive Medicine, Department of Sports and Health Sciences, University of Potsdam, Potsdam, Germany
| | - Florian Schlagenhauf
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience, Charitéplatz 1, 10117 Berlin, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli; Gif-sur-Yvette; and AP-HP. Sorbonne University, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli; Gif-sur-Yvette; and Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany; Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | - Herve Lemaitre
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France; Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076 Bordeaux, France
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gunter Schumann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neuroscience, Centre for Population Neuroscience and Stratified Medicine (PONS), Charitéplatz 1, 10117 Berlin, Germany; Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience, Charitéplatz 1, 10117 Berlin, Germany
| | - Andreas Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience, Charitéplatz 1, 10117 Berlin, Germany
| | - Kerstin Ritter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience, Charitéplatz 1, 10117 Berlin, Germany
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Pijnenburg LJ, Kaplun A, de Haan L, Janecka M, Smith L, Reichenberg A, Banaschewski T, Bokde ALW, Quinlan EB, Desrivières S, Grigis A, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MLP, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Velthorst E. Autistic traits and alcohol use in adolescents within the general population. Eur Child Adolesc Psychiatry 2023; 32:1633-1642. [PMID: 35318541 PMCID: PMC10460309 DOI: 10.1007/s00787-022-01970-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 03/03/2022] [Indexed: 11/03/2022]
Abstract
It has been suggested that autistic traits are associated with less frequent alcohol use in adolescence. Our study seeks to examine the relationship between autistic traits and alcohol use in a large adolescent population. Leveraging data from the IMAGEN cohort, including 2045 14-year-old adolescents that were followed-up to age 18, we selected items on social preference/skills and rigidity from different questionnaires. We used linear regression models to (1) test the effect of the sum scores on the prevalence of alcohol use (AUDIT-C) over time, (2) explore the relationship between autistic traits and alcohol use patterns, and (3) explore the specific effect of each autistic trait on alcohol use. Higher scores on the selected items were associated with trajectories of less alcohol use from the ages between 14 and 18 (b = - 0.030; CI 95% = - 0.042, - 0.017; p < 0.001). Among adolescents who used alcohol, those who reported more autistic traits were also drinking less per occasion than their peers and were less likely to engage in binge drinking. We found significant associations between alcohol use and social preference (p < 0.001), nervousness for new situations (p = 0.001), and detail orientation (p < 0.001). Autistic traits (social impairment, detail orientation, and anxiety) may buffer against alcohol use in adolescence.
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Affiliation(s)
- Lisa J Pijnenburg
- GGZ Rivierduinen, Institute for Mental Health Care, Leiden, The Netherlands.
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Meibergdreef 5, 1105 AZ, Amsterdam, The Netherlands.
| | - Anais Kaplun
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Lieuwe de Haan
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Meibergdreef 5, 1105 AZ, Amsterdam, The Netherlands
| | - Magdalena Janecka
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
- Seaver Autism Center for Research and Treatment, New York City, NY, USA
| | - Lauren Smith
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Abraham Reichenberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
- Seaver Autism Center for Research and Treatment, New York City, NY, USA
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Erin Burke Quinlan
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sylvane Desrivières
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, 05405, USA
- Department of Psychology, University of Vermont, Burlington, VT, 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, NG, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Germany
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Jean-Luc Martinot
- Maison de Solenn, Paris, France
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging and Psychiatry", UniversityParis Sud, University Paris Descartes, Sorbonne Université, Paris, France
| | - Marie-Laure Paillère Martinot
- Maison de Solenn, Paris, France
- Department of Child and Adolescent Psychiatry, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, Mannheim, Germany
| | | | - Tomáš Paus
- Department of Psychology, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, University of Toronto, Toronto, ON, M6A 2E1, Canada
- Department of Psychiatry, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, University of Toronto, Toronto, ON, M6A 2E1, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- PONS Research Group, Department of Psychiatry and Psychotherapy, Humboldt University, Campus Charite Mitte, Berlin, Germany
- Institute for Science and Technology of Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, People's Republic of China
| | - Eva Velthorst
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
- Seaver Autism Center for Research and Treatment, New York City, NY, USA
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41
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Xiang S, Jia T, Xie C, Cheng W, Chaarani B, Banaschewski T, Barker GJ, Bokde ALW, Büchel C, Desrivières S, Flor H, Grigis A, Gowland PA, Brühl R, Martinot JL, Martinot MLP, Nees F, Orfanos DP, Poustka L, Hohmann S, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Garavan H, Schumann G, Sahakian BJ, Robbins TW, Feng J. Association between vmPFC gray matter volume and smoking initiation in adolescents. Nat Commun 2023; 14:4684. [PMID: 37582920 PMCID: PMC10427673 DOI: 10.1038/s41467-023-40079-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 07/12/2023] [Indexed: 08/17/2023] Open
Abstract
Smoking of cigarettes among young adolescents is a pressing public health issue. However, the neural mechanisms underlying smoking initiation and sustenance during adolescence, especially the potential causal interactions between altered brain development and smoking behaviour, remain elusive. Here, using large longitudinal adolescence imaging genetic cohorts, we identify associations between left ventromedial prefrontal cortex (vmPFC) gray matter volume (GMV) and subsequent self-reported smoking initiation, and between right vmPFC GMV and the maintenance of smoking behaviour. Rule-breaking behaviour mediates the association between smaller left vmPFC GMV and smoking behaviour based on longitudinal cross-lagged analysis and Mendelian randomisation. In contrast, smoking behaviour associated longitudinal covariation of right vmPFC GMV and sensation seeking (especially hedonic experience) highlights a potential reward-based mechanism for sustaining addictive behaviour. Taken together, our findings reveal vmPFC GMV as a possible biomarker for the early stages of nicotine addiction, with implications for its prevention and treatment.
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Affiliation(s)
- Shitong Xiang
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Tianye Jia
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
- Centre for Population Neuroscience and Stratified Medicine (PONS Centre), ISTBI, Fudan University, Shanghai, China.
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Chao Xie
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Wei Cheng
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Bader Chaarani
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | | | - Sylvane Desrivières
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, C.E.A., Université Paris-Saclay, Gif-sur-Yvette, France
| | - Penny A Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 'Trajectoires développementales en psychiatrie', Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS UMR9010, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 'Trajectoires développementales en psychiatrie', Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS UMR9010, Centre Borelli, Gif-sur-Yvette, France
- AP-HP, Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Gunter Schumann
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Centre for Population Neuroscience and Stratified Medicine (PONS Centre), ISTBI, Fudan University, Shanghai, China
- Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Centre for Population Neuroscience and Stratified Medicine (PONS Centre), Charité University Medicine Berlin, Berlin, Germany
| | - Barbara J Sahakian
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Trevor W Robbins
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
- Department of Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.
| | - Jianfeng Feng
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
- Department of Computer Science, University of Warwick, Coventry, United Kingdom.
- Zhangjiang Fudan International Innovation Center, Shanghai, China.
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42
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Nweze T, Banaschewski T, Ajaelu C, Okoye C, Ezenwa M, Whelan R, Papadopoulos Orfanos D, Bokde AL, Desrivières S, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot J, Martinot MP, Artiges E, Nees F, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Walter H, Schumann G, Hanson JL. Trajectories of cortical structures associated with stress across adolescence: a bivariate latent change score approach. J Child Psychol Psychiatry 2023; 64:1159-1175. [PMID: 36990655 PMCID: PMC10952720 DOI: 10.1111/jcpp.13793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/13/2023] [Indexed: 03/31/2023]
Abstract
BACKGROUND Stress exposure in childhood and adolescence has been linked to reductions in cortical structures and cognitive functioning. However, to date, most of these studies have been cross-sectional, limiting the ability to make long-term inferences, given that most cortical structures continue to develop through adolescence. METHODS Here, we used a subset of the IMAGEN population cohort sample (N = 502; assessment ages: 14, 19, and 22 years; mean age: 21.945 years; SD = 0.610) to understand longitudinally the long-term interrelations between stress, cortical development, and cognitive functioning. To these ends, we first used a latent change score model to examine four bivariate relations - assessing individual differences in change in the relations between adolescent stress exposure and volume, surface area, and cortical thickness of cortical structures, as well as cognitive outcomes. Second, we probed for indirect neurocognitive effects linking stress to cortical brain structures and cognitive functions using rich longitudinal mediation modeling. RESULTS Latent change score modeling showed that greater baseline adolescence stress at age 14 predicted a small reduction in the right anterior cingulate volume (Std. β = -.327, p = .042, 95% CI [-0.643, -0.012]) and right anterior cingulate surface area (Std. β = -.274, p = .038, 95% CI [-0.533, -0.015]) across ages 14-22. These effects were very modest in nature and became nonsignificant after correcting for multiple comparisons. Our longitudinal analyses found no evidence of indirect effects in the two neurocognitive pathways linking adolescent stress to brain and cognitive outcomes. CONCLUSION Findings shed light on the impact of stress on brain reductions, particularly in the prefrontal cortex that have consistently been implicated in the previous cross-sectional studies. However, the magnitude of effects observed in our study is smaller than that has been reported in past cross-sectional work. This suggests that the potential impact of stress during adolescence on brain structures may likely be more modest than previously noted.
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Affiliation(s)
- Tochukwu Nweze
- MRC Cognition and Brain Sciences UnitUniversity of CambridgeCambridgeUK
- Department of PsychologyUniversity of NigeriaNsukkaNigeria
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
| | - Cyracius Ajaelu
- Department of PsychologyNnamdi Azikiwe UniversityAwkaNigeria
| | | | - Michael Ezenwa
- Department of PsychologyNnamdi Azikiwe UniversityAwkaNigeria
| | - Robert Whelan
- School of PsychologyGlobal Brain Health Institute, Trinity College DublinDublinIreland
| | | | - Arun L.W. Bokde
- Discipline of PsychiatrySchool of Medicine, Trinity College Institute of Neuroscience, Trinity College DublinDublinIreland
| | - Sylvane Desrivières
- SGDP CentreInstitute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College LondonLondonUK
| | - Antoine Grigis
- NeuroSpin, CEAUniversité Paris‐SaclayGif‐sur‐YvetteFrance
| | - Hugh Garavan
- Departments of Psychiatry and PsychologyUniversity of VermontBurlingtonVTUSA
| | - Penny Gowland
- Sir Peter Mansfield Imaging CentreSchool of Physics and Astronomy, University of Nottingham, University ParkNottinghamUK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCMCharité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu BerlinBerlinGermany
- Berlin Institute of HealthBerlinGermany
| | - Rüdiger Brühl
- Physikalisch‐Technische Bundesanstalt (PTB)Braunschweig and BerlinGermany
| | - Jean‐Luc Martinot
- CNRS, Institut National de la Santé et de la Recherche MédicaleUniversité Paris‐SaclayGif‐sur‐YvetteFrance
- Centre Borelli, INSERM U1299 ‘Trajectoires Développementales et Psychiatrie’Ecole Normale Supérieure Paris‐SaclayGif‐sur‐YvetteFrance
| | - Marie‐Laure Paillère Martinot
- CNRS, Institut National de la Santé et de la Recherche MédicaleUniversité Paris‐SaclayParisFrance
- Centre Borelli, INSERM U1299 ‘Trajectoires Développementales et Psychiatrie’Ecole Normale Supérieure Paris‐SaclayParisFrance
- Department of Child and Adolescent Psychiatry, Pitié‐Salpétriere Hospital, AP‐HPSorbonne UniversitéParisFrance
| | - Eric Artiges
- CNRS, Institut National de la Santé et de la Recherche MédicaleUniversité Paris‐SaclayEtampesFrance
- Ecole Normale Supérieure Paris‐Saclay, Centre Borelli, INSERM U1299 ‘Trajectoires Développementales et Psychiatrie’EtampesFrance
- CH Bartélémy DurandEtampesFrance
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
- Institute of Medical Psychology and Medical SociologyUniversity Medical Center Schleswig Holstein, Kiel UniversityKielGermany
| | - Tomáš Paus
- Department of Psychiatry, Faculty of Medicine, Centre Hospitalier Universitaire Sainte‐JustineUniversity of MontrealMontrealQCCanada
- Departments of Psychiatry and PsychologyUniversity of TorontoTorontoONCanada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and PsychotherapyUniversity Medical Centre GöttingenGöttingenGermany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
| | - Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging CenterTechnische Universität DresdenDresdenGermany
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging CenterTechnische Universität DresdenDresdenGermany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCMCharité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu BerlinBerlinGermany
- Berlin Institute of HealthBerlinGermany
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and NeuroscienceCharité Universitätsmedizin BerlinBerlinGermany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain‐inspired Intelligence (ISTBI)Fudan UniversityShanghaiChina
| | - Jamie L. Hanson
- Department of PsychologyUniversity of PittsburghPittsburghPAUSA
- Learning Research & Development CenterUniversity of PittsburghPittsburghPAUSA
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Prignitz M, Banaschewski T, Bokde ALW, Desrivières S, Grigis A, Garavan H, Gowland P, Heinz A, Martinot JL, Paillère Martinot ML, Artiges E, Papadopoulos Orfanos D, Poustka L, Hohmann S, Fröhner JH, Robinson L, Smolka MN, Walter H, Winterer JM, Whelan R, Schumann G, Nees F, Flor H, Consortium OBOTIMAGEN. The Role of Empathy in Alcohol Use of Bullying Perpetrators and Victims: Lower Personal Empathic Distress Makes Male Perpetrators of Bullying More Vulnerable to Alcohol Use. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6286. [PMID: 37444132 PMCID: PMC10341197 DOI: 10.3390/ijerph20136286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/31/2023] [Accepted: 06/09/2023] [Indexed: 07/15/2023]
Abstract
Bullying often results in negative coping in victims, including an increased consumption of alcohol. Recently, however, an increase in alcohol use has also been reported among perpetrators of bullying. The factors triggering this pattern are still unclear. We investigated the role of empathy in the interaction between bullying and alcohol use in an adolescent sample (IMAGEN) at age 13.97 (±0.53) years (baseline (BL), N = 2165, 50.9% female) and age 16.51 (±0.61) years (follow-up 1 (FU1), N = 1185, 54.9% female). General empathic distress served as a significant moderator of alcohol use in perpetrators (F9, 493 = 17.978, p < 0.01), which was specific for males and FU1. Male perpetrators, who are generally less sensitive to distress, might thus be more vulnerable to alcohol abuse.
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Affiliation(s)
- Maren Prignitz
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Arun L. W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland
| | - Sylvane Desrivières
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2QL, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 “Trajectoires Développementales en Psychiatrie”, Université Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, F-91190 Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 “Trajectoires Développementales en Psychiatrie”, Université Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, F-91190 Gif-sur-Yvette, France
- Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, AP-HP, Sorbonne Université, 75651 Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 “Trajectoires Développementales en Psychiatrie”, Université Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, F-91190 Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, 91150 Etampes, France
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075 Göttingen, Germany
- Department of Child and Adolescent Psychiatry, Centre for Psychosocial Medicine, Heidelberg University, 69115 Heidelberg, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Juliane H. Fröhner
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, 01069 Dresden, Germany
| | - Lauren Robinson
- Department of Psychological Medicine, Section for Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK
| | - Michael N. Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, 01069 Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Jeanne M. Winterer
- Department of Psychiatry and Psychotherapy CCM, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
- Department of Education and Psychology, Freie Universität Berlin, 14195 Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin 2, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, 10117 Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai 200433, China
| | - Frauke Nees
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, 24105 Kiel, Germany
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
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Walton E, Baltramonaityte V, Calhoun V, Heijmans BT, Thompson PM, Cecil CAM. A systematic review of neuroimaging epigenetic research: calling for an increased focus on development. Mol Psychiatry 2023; 28:2839-2847. [PMID: 37185958 PMCID: PMC10615743 DOI: 10.1038/s41380-023-02067-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 03/03/2023] [Accepted: 04/03/2023] [Indexed: 05/17/2023]
Abstract
Epigenetic mechanisms, such as DNA methylation (DNAm), have gained increasing attention as potential biomarkers and mechanisms underlying risk for neurodevelopmental, psychiatric and other brain-based disorders. Yet, surprisingly little is known about the extent to which DNAm is linked to individual differences in the brain itself, and how these associations may unfold across development - a time of life when many of these disorders emerge. Here, we systematically review evidence from the nascent field of Neuroimaging Epigenetics, combining structural or functional neuroimaging measures with DNAm, and the extent to which the developmental period (birth to adolescence) is represented in these studies. We identified 111 articles published between 2011-2021, out of which only a minority (21%) included samples under 18 years of age. Most studies were cross-sectional (85%), employed a candidate-gene approach (67%), and examined DNAm-brain associations in the context of health and behavioral outcomes (75%). Nearly half incorporated genetic data, and a fourth investigated environmental influences. Overall, studies support a link between peripheral DNAm and brain imaging measures, but there is little consistency in specific findings and it remains unclear whether DNAm markers present a cause, correlate or consequence of brain alterations. Overall, there is large heterogeneity in sample characteristics, peripheral tissue and brain outcome examined as well as the methods used. Sample sizes were generally low to moderate (median nall = 98, ndevelopmental = 80), and attempts at replication or meta-analysis were rare. Based on the strengths and weaknesses of existing studies, we propose three recommendations on how advance the field of Neuroimaging Epigenetics. We advocate for: (1) a greater focus on developmentally oriented research (i.e. pre-birth to adolescence); (2) the analysis of large, prospective, pediatric cohorts with repeated measures of DNAm and imaging to assess directionality; and (3) collaborative, interdisciplinary science to identify robust signals, triangulate findings and enhance translational potential.
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Affiliation(s)
- Esther Walton
- Department of Psychology, University of Bath, Bath, UK.
| | | | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Dept. of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - Charlotte A M Cecil
- Molecular Epidemiology, Dept. of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
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de Matos K, Cury C, Chougar L, Strike LT, Rolland T, Riche M, Hemforth L, Martin A, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Paillère Martinot ML, Artiges E, Nees F, Papadopoulos Orfanos D, Lemaitre H, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Frouin V, Bach Cuadra M, Colliot O, Couvy-Duchesne B. Temporo-basal sulcal connections: a manual annotation protocol and an investigation of sexual dimorphism and heritability. Brain Struct Funct 2023; 228:1459-1478. [PMID: 37358662 DOI: 10.1007/s00429-023-02663-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 06/07/2023] [Indexed: 06/27/2023]
Abstract
The temporo-basal region of the human brain is composed of the collateral, the occipito-temporal, and the rhinal sulci. We manually rated (using a novel protocol) the connections between rhinal/collateral (RS-CS), collateral/occipito-temporal (CS-OTS) and rhinal/occipito-temporal (RS-OTS) sulci, using the MRI of nearly 3400 individuals including around 1000 twins. We reported both the associations between sulcal polymorphisms as well with a wide range of demographics (e.g. age, sex, handedness). Finally, we also estimated the heritability, and the genetic correlation between sulcal connections. We reported the frequency of the sulcal connections in the general population, which were hemisphere dependent. We found a sexual dimorphism of the connections, especially marked in the right hemisphere, with a CS-OTS connection more frequent in females (approximately 35-40% versus 20-25% in males) and an RS-CS connection more common in males (approximately 40-45% versus 25-30% in females). We confirmed associations between sulcal connections and characteristics of incomplete hippocampal inversion (IHI). We estimated the broad sense heritability to be 0.28-0.45 for RS-CS and CS-OTS connections, with hints of dominant contribution for the RS-CS connection. The connections appeared to share some of their genetic causing factors as indicated by strong genetic correlations. Heritability appeared much smaller for the (rarer) RS-OTS connection.
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Affiliation(s)
- Kevin de Matos
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
- CIBM Center for Biomedical Imaging, Vaud, Switzerland
- Radiology Department, Lausanne University and University Hospital, Lausanne, Switzerland
| | - Claire Cury
- CNRS, Inria, Inserm, IRISA UMR 6074, Empenn ERL U-1228, University of Rennes, 35000, Rennes, France
| | - Lydia Chougar
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
- Service de neuroradiologie, AP-HP, Pitié-Salpêtrière, Paris, France
| | - Lachlan T Strike
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, 4072, Australia
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Thibault Rolland
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
| | - Maximilien Riche
- Department of Neurosurgery, AP-HP, La Pitié-Salpêtrière Hospital, Sorbonne University, 75013, Paris, France
| | - Lisa Hemforth
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
| | - Alexandre Martin
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
- Inria Sophia Antipolis, Morpheme Project, Paris, France
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Berlin Institute of Health, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Brunswick, Berlin, Germany
| | - Jean-Luc Martinot
- INSERM U 1299 "Trajectoires développementales & psychiatrie", CNRS, Institut National de la Santé et de la Recherche Médicale, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, University Paris-Saclay, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- INSERM U 1299 "Trajectoires développementales & psychiatrie", CNRS, AP-HP, Institut National de la Santé et de la Recherche Médicale, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, University Paris-Saclay, Gif-sur-Yvette, France
- Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Eric Artiges
- INSERM U 1299 "Trajectoires développementales & psychiatrie", CNRS, Institut National de la Santé et de la Recherche Médicale, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, University Paris-Saclay, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Herve Lemaitre
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
- UMR 5293, CNRS, CEA, Institut des Maladies Neurodégénératives, Université de Bordeaux, 33076, Bordeaux, France
| | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Université de Montréal and Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, ON, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Department of Psychiatry and Neuroscience, Centre for Population Neuroscience and Stratified Medicine (PONS), Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Berlin Institute of Health, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Department of Psychiatry and Neuroscience, Centre for Population Neuroscience and Stratified Medicine (PONS), Charité Universitätsmedizin Berlin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Meritxell Bach Cuadra
- CIBM Center for Biomedical Imaging, Vaud, Switzerland
- Radiology Department, Lausanne University and University Hospital, Lausanne, Switzerland
| | - Olivier Colliot
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
| | - Baptiste Couvy-Duchesne
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France.
- Institute for Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4062, Australia.
- ARAMIS Team, Pitié-Salpêtrière Hospital, Institut du Cerveau, 75013, Paris, France.
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Via E, Contreras-Rodríguez O. Binge-Eating Precursors in Children and Adolescents: Neurodevelopment, and the Potential Contribution of Ultra-Processed Foods. Nutrients 2023; 15:2994. [PMID: 37447320 DOI: 10.3390/nu15132994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/12/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023] Open
Abstract
Binge-eating disorder (BED) is a highly prevalent disorder. Subthreshold BED conditions (sBED) are even more frequent in youth, but their significance regarding BED etiology and long-term prognosis is unclear. A better understanding of brain findings associated with BED and sBED, in the context of critical periods for neurodevelopment, is relevant to answer such questions. The present narrative review starts from the knowledge of the development of emotional self-regulation in youth, and the brain circuits supporting emotion-regulation and eating behaviour. Next, neuroimaging studies with sBED and BED samples will be reviewed, and their brain-circuitry overlap will be examined. Deficits in inhibition control systems are observed to precede, and hyperactivity of reward regions to characterize, sBED, with overlapping findings in BED. The imbalance between reward/inhibition systems, and the implication of interoception/homeostatic processing brain systems should be further examined. Recent knowledge of the potential impact that the high consumption of ultra-processed foods in paediatric samples may have on these sBED/BED-associated brain systems is then discussed. There is a need to identify, early on, those sBED individuals at risk of developing BED at neurodevelopmental stages when there is a great possibility of prevention. However, more neuroimaging studies with sBED/BED pediatric samples are needed.
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Affiliation(s)
- Esther Via
- Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950 Esplugues de Llobregat, Spain
- Department of Child and Adolescent Mental Health, Hospital Sant Joan de Déu, Passeig Sant Joan de Déu, 2, 08950 Esplugues de Llobregat, Spain
| | - Oren Contreras-Rodríguez
- Medical Imaging, Girona Biomedical Research Institute (IdIBGi), Parc Hospitalari Martí i Julià-Edifici M2, Salt, 17190 Girona, Spain
- Health Institute Carlos III (ISCIII) and CIBERSAM, 28029 Madrid, Spain
- Department of Psychiatry and Legal Medicine, Faculty of Medicine, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
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Douet Vannucci V, Marchand T, Hennequin A, Caci H, Staccini P. The EPIDIA4Kids protocol for a digital epidemiology study on brain functioning in children, based on a multimodality biometry tool running on an unmodified tablet. Front Public Health 2023; 11:1185565. [PMID: 37325324 PMCID: PMC10267880 DOI: 10.3389/fpubh.2023.1185565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 04/28/2023] [Indexed: 06/17/2023] Open
Abstract
Introduction Neurodevelopment and related mental disorders (NDDs) are one of the most frequent disabilities among young people. They have complex clinical phenotypes often associated with transnosographic dimensions, such as emotion dysregulation and executive dysfunction, that lead to adverse impacts in personal, social, academic, and occupational functioning. Strong overlap exists then across NDDs phenotypes that are challenging for diagnosis and therapeutic intervention. Recently, digital epidemiology uses the rapidly growing data streams from various devices to advance our understanding of health's and disorders' dynamics, both in individuals and the general population, once coupled with computational science. An alternative transdiagnostic approach using digital epidemiology may thus better help understanding brain functioning and hereby NDDs in the general population. Objective The EPIDIA4Kids study aims to propose and evaluate in children, a new transdiagnostic approach for brain functioning examination, combining AI-based multimodality biometry and clinical e-assessments on an unmodified tablet. We will examine this digital epidemiology approach in an ecological context through data-driven methods to characterize cognition, emotion, and behavior, and ultimately the potential of transdiagnostic models of NDDs for children in real-life practice. Methods and analysis The EPIDIA4Kids is an uncontrolled open-label study. 786 participants will be recruited and enrolled if eligible: they are (1) aged 7 to 12 years and (2) are French speaker/reader; (3) have no severe intellectual deficiencies. Legal representative and children will complete online demographic, psychosocial and health assessments. During the same visit, children will perform additionally a paper/pencil neuro-assessments followed by a 30-min gamified assessment on a touch-screen tablet. Multi-stream data including questionnaires, video, audio, digit-tracking, will be collected, and the resulting multimodality biometrics will be generated using machine- and deep-learning algorithms. The trial will start in March 2023 and is expected to end by December 2024. Discussion We hypothesize that the biometrics and digital biomarkers will be capable of detecting early onset symptoms of neurodevelopment compared to paper-based screening while as or more accessible in real-life practice.
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Affiliation(s)
- Vanessa Douet Vannucci
- R&D Lab, O-Kidia, Nice, France
- URE Risk Epidemiology Territory INformatics Education and Health (URE RETINES), Université Côte d’Azur, Nice, France
| | - Théo Marchand
- R&D Lab, O-Kidia, Nice, France
- Bioelectronic Lab, Ecole des Mines de Saint-Étienne, Gardanne, France
| | | | - Hervé Caci
- Hôpitaux Pédiatriques de Nice CHU Lenval, Nice, France
- Centre de Recherche en Épidémiologie and Santé des Populations (CESP), INSERM U1018, Villejuif, France
| | - Pascal Staccini
- URE Risk Epidemiology Territory INformatics Education and Health (URE RETINES), Université Côte d’Azur, Nice, France
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Han Q, Xiao X, Wang S, Qin W, Yu C, Liang M. Characterization of the effects of outliers on ComBat harmonization for removing inter-site data heterogeneity in multisite neuroimaging studies. Front Neurosci 2023; 17:1146175. [PMID: 37304022 PMCID: PMC10249749 DOI: 10.3389/fnins.2023.1146175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 05/10/2023] [Indexed: 06/13/2023] Open
Abstract
Data harmonization is a key step widely used in multisite neuroimaging studies to remove inter-site heterogeneity of data distribution. However, data harmonization may even introduce additional inter-site differences in neuroimaging data if outliers are present in the data of one or more sites. It remains unclear how the presence of outliers could affect the effectiveness of data harmonization and consequently the results of analyses using harmonized data. To address this question, we generated a normal simulation dataset without outliers and a series of simulation datasets with outliers of varying properties (e.g., outlier location, outlier quantity, and outlier score) based on a real large-sample neuroimaging dataset. We first verified the effectiveness of the most commonly used ComBat harmonization method in the removal of inter-site heterogeneity using the normal simulation data, and then characterized the effects of outliers on the effectiveness of ComBat harmonization and on the results of association analyses between brain imaging-derived phenotypes and a simulated behavioral variable using the simulation datasets with outliers. We found that, although ComBat harmonization effectively removed the inter-site heterogeneity in multisite data and consequently improved the detection of the true brain-behavior relationships, the presence of outliers could damage severely the effectiveness of ComBat harmonization in the removal of data heterogeneity or even introduce extra heterogeneity in the data. Moreover, we found that the effects of outliers on the improvement of the detection of brain-behavior associations by ComBat harmonization were dependent on how such associations were assessed (i.e., by Pearson correlation or Spearman correlation), and on the outlier location, quantity, and outlier score. These findings help us better understand the influences of outliers on data harmonization and highlight the importance of detecting and removing outliers prior to data harmonization in multisite neuroimaging studies.
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Affiliation(s)
- Qichao Han
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Xiaoxiao Xiao
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Sijia Wang
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Chunshui Yu
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Meng Liang
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
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Stepanous J, Munford L, Qualter P, Nees F, Elliott R. Longitudinal Associations between Peer and Family Relationships, Emotional Symptoms, and Regional Brain Volume across Adolescence. J Youth Adolesc 2023; 52:734-753. [PMID: 36807228 PMCID: PMC9957881 DOI: 10.1007/s10964-023-01740-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 01/27/2023] [Indexed: 02/23/2023]
Abstract
The period of adolescence brings with it a dynamic interaction between social context and behaviour, structural brain development, and anxiety and depressive symptoms. The rate of volumetric change in the ventromedial prefrontal cortex (vmPFC) and amygdala have been implicated in socioemotional development in adolescence; typically, there is thinning of grey matter volume (GMV) in the vmPFC and growth in the amygdala during this time. The directionality of the associations between social, emotional, and neuroanatomical factors has yet to be untangled, such as the degree to which social variables impact regional brain development, and vice versa. To add, the differences between sexes are still up for debate. In this study, longitudinal associations between peer problems, family support, socioeconomic stress, emotional symptoms, amygdala volume, and vmPFC GMV were investigated for both sexes using latent change score models. Data from a multi-site European study at baseline (mean (SD) age = 14.40 (0.38) years; % female = 53.19) and follow-up 2 (mean (SD) age = 18.90 (0.69) years, % female = 53.19) were used. Results revealed that peer problems did not predict emotional symptoms, rather they changed together over time. For males only, there was positive correlated change between vmPFC GMV, peer problems and emotional symptoms, indicating that slower vmPFC GMV thinning was associated with poorer social and emotional functioning. Additionally, greater family support at age 14 years was associated with slower growth of amygdala volume between ages 14 and 19 years for males; previous research has related slower amygdala growth to resilience to mental health disorders. The findings have extended understanding of mutual social, emotional and brain development, and avenues to protect mental health.
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Affiliation(s)
- Jessica Stepanous
- Department of Psychology and Mental Health, University of Manchester, Manchester, Greater Manchester, UK.
| | - Luke Munford
- Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, Greater Manchester, UK
| | - Pamela Qualter
- Manchester Institute of Education, University of Manchester, Manchester, Greater Manchester, UK
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | - Rebecca Elliott
- Department of Psychology and Mental Health, University of Manchester, Manchester, Greater Manchester, UK
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50
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Navarri X, Vosberg DE, Shin J, Richer L, Leonard G, Pike GB, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Poustka L, Hohmann S, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Pausova Z, Paus T. A biologically informed polygenic score of neuronal plasticity moderates the association between cognitive aptitudes and cortical thickness in adolescents. Dev Cogn Neurosci 2023; 60:101232. [PMID: 36963244 PMCID: PMC10064237 DOI: 10.1016/j.dcn.2023.101232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 03/17/2023] Open
Abstract
Although many studies of the adolescent brain identified positive associations between cognitive abilities and cortical thickness, little is known about mechanisms underlying such brain-behavior relationships. With experience-induced plasticity playing an important role in shaping the cerebral cortex throughout life, it is likely that some of the inter-individual variations in cortical thickness could be explained by genetic variations in relevant molecular processes, as indexed by a polygenic score of neuronal plasticity (PGS-NP). Here, we studied associations between PGS-NP, cognitive abilities, and thickness of the cerebral cortex, estimated from magnetic resonance images, in the Saguenay Youth Study (SYS, 533 females, 496 males: age=15.0 ± 1.8 years of age; cross-sectional), and the IMAGEN Study (566 females, 556 males; between 14 and 19 years; longitudinal). Using Gene Ontology, we first identified 199 genes implicated in neuronal plasticity, which mapped to 155,600 single nucleotide polymorphisms (SNPs). Second, we estimated their effect sizes from an educational attainment meta-GWAS to build a PGS-NP. Third, we examined a possible moderating role of PGS-NP in the relationship between performance intelligence quotient (PIQ), and its subtests, and the thickness of 34 cortical regions. In SYS, we observed a significant interaction between PGS-NP and object assembly vis-à-vis thickness in male adolescents (p = 0.026). A median-split analysis showed that, in males with a 'high' PGS-NP, stronger associations between object assembly and thickness were found in regions with larger age-related changes in thickness (r = 0.55, p = 0.00075). Although the interaction between PIQ and PGS-NP was non-significant (p = 0.064), we performed a similar median-split analysis. Again, in the high PGS-NP males, positive associations between PIQ and thickness were observed in regions with larger age-related changes in thickness (r = 0.40, p = 0.018). In the IMAGEN cohort, we did not replicate the first set of results (interaction between PGS-NP and cognitive abilities via-a-vis cortical thickness) while we did observe the same relationship between the brain-behaviour relationship and (longitudinal) changes in cortical thickness (Matrix reasoning: r = 0.63, p = 6.5e-05). No statistically significant results were observed in female adolescents in either cohort. Overall, these cross-sectional and longitudinal results suggest that molecular mechanisms involved in neuronal plasticity may contribute to inter-individual variations of cortical thickness related to cognitive abilities during adolescence in a sex-specific manner.
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Affiliation(s)
- Xavier Navarri
- Departments of Psychiatry and Neuroscience, Université de Montreal, Montreal, QC H3T 1J4, Canada; CHU Sainte-Justine Research Centre, Montreal, QC H3T 1C5, Canada
| | - Daniel E Vosberg
- Departments of Psychiatry and Neuroscience, Université de Montreal, Montreal, QC H3T 1J4, Canada; CHU Sainte-Justine Research Centre, Montreal, QC H3T 1C5, Canada
| | - Jean Shin
- Hospital for Sick Children, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Louis Richer
- Department of Health Sciences, Université du Québec à Chicoutimi, Chicoutimi, QC G7H 2B1, Canada
| | - Gabriel Leonard
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - G Bruce Pike
- Departments of Radiology and Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany; Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, VT, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie"; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales & psychiatrie", University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS; Centre Borelli, Gif-sur-Yvette, France; and AP-HP. Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie"; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette; and Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075 Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Germany; Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Zdenka Pausova
- Departments of Physiology and Nutritional Sciences, Hospital for Sick Children, University of Toronto, Peter Gilgan Centre for Research and Learning, Toronto, ON M5G 0A4, Canada
| | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Université de Montreal, Montreal, QC H3T 1J4, Canada; CHU Sainte-Justine Research Centre, Montreal, QC H3T 1C5, Canada; Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON M5S3G3, Canada.
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