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Gurholt TP, Borda MG, Parker N, Fominykh V, Kjelkenes R, Linge J, van der Meer D, Sønderby IE, Duque G, Westlye LT, Aarsland D, Andreassen OA. Linking sarcopenia, brain structure and cognitive performance: a large-scale UK Biobank study. Brain Commun 2024; 6:fcae083. [PMID: 38510210 PMCID: PMC10953622 DOI: 10.1093/braincomms/fcae083] [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: 09/14/2023] [Revised: 12/15/2023] [Accepted: 03/06/2024] [Indexed: 03/22/2024] Open
Abstract
Sarcopenia refers to age-related loss of muscle mass and function and is related to impaired somatic and brain health, including cognitive decline and Alzheimer's disease. However, the relationships between sarcopenia, brain structure and cognition are poorly understood. Here, we investigate the associations between sarcopenic traits, brain structure and cognitive performance. We included 33 709 UK Biobank participants (54.2% female; age range 44-82 years) with structural and diffusion magnetic resonance imaging, thigh muscle fat infiltration (n = 30 561) from whole-body magnetic resonance imaging (muscle quality indicator) and general cognitive performance as indicated by the first principal component of a principal component analysis across multiple cognitive tests (n = 22 530). Of these, 1703 participants qualified for probable sarcopenia based on low handgrip strength, and we assigned the remaining 32 006 participants to the non-sarcopenia group. We used multiple linear regression to test how sarcopenic traits (probable sarcopenia versus non-sarcopenia and percentage of thigh muscle fat infiltration) relate to cognitive performance and brain structure (cortical thickness and area, white matter fractional anisotropy and deep and lower brain volumes). Next, we used structural equation modelling to test whether brain structure mediated the association between sarcopenic and cognitive traits. We adjusted all statistical analyses for confounders. We show that sarcopenic traits (probable sarcopenia versus non-sarcopenia and muscle fat infiltration) are significantly associated with lower cognitive performance and various brain magnetic resonance imaging measures. In probable sarcopenia, for the included brain regions, we observed widespread significant lower white matter fractional anisotropy (77.1% of tracts), predominantly lower regional brain volumes (61.3% of volumes) and thinner cortical thickness (37.9% of parcellations), with |r| effect sizes in (0.02, 0.06) and P-values in (0.0002, 4.2e-29). In contrast, we observed significant associations between higher muscle fat infiltration and widespread thinner cortical thickness (76.5% of parcellations), lower white matter fractional anisotropy (62.5% of tracts) and predominantly lower brain volumes (35.5% of volumes), with |r| effect sizes in (0.02, 0.07) and P-values in (0.0002, 1.9e-31). The regions showing the most significant effect sizes across the cortex, white matter and volumes were of the sensorimotor system. Structural equation modelling analysis revealed that sensorimotor brain regions mediate the link between sarcopenic and cognitive traits [probable sarcopenia: P-values in (0.0001, 1.0e-11); muscle fat infiltration: P-values in (7.7e-05, 1.7e-12)]. Our findings show significant associations between sarcopenic traits, brain structure and cognitive performance in a middle-aged and older adult population. Mediation analyses suggest that regional brain structure mediates the association between sarcopenic and cognitive traits, with potential implications for dementia development and prevention.
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Affiliation(s)
- Tiril P Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo 0424, Norway
| | - Miguel Germán Borda
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger 4068, Norway
- Faculty of Health Sciences, University of Stavanger, Stavanger 4036, Norway
- Semillero de Neurociencias y Envejecimiento, Ageing Institute, Medical School, Pontificia Universidad Javeriana, Bogota 111611, Colombia
| | - Nadine Parker
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo 0424, Norway
| | - Vera Fominykh
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo 0424, Norway
| | - Rikka Kjelkenes
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo 0424, Norway
- Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Jennifer Linge
- AMRA Medical AB, Linköping 58222, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping 58183, Sweden
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo 0424, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht 6200MD, The Netherlands
| | - Ida E Sønderby
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo 0424, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo 0424, Norway
| | - Gustavo Duque
- Dr. Joseph Kaufmann Chair in Geriatric Medicine, Department of Medicine and Research Institute of the McGill University Health Centre, McGill University, Montreal, QC H4A 3J1, Canada
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo 0424, Norway
- Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Dag Aarsland
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger 4068, Norway
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London WC2R 2LS, UK
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo 0424, Norway
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Jiang R, Calhoun VD, Noble S, Sui J, Liang Q, Qi S, Scheinost D. A functional connectome signature of blood pressure in >30 000 participants from the UK biobank. Cardiovasc Res 2023; 119:1427-1440. [PMID: 35875865 PMCID: PMC10262183 DOI: 10.1093/cvr/cvac116] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/07/2022] [Accepted: 07/01/2022] [Indexed: 11/12/2022] Open
Abstract
AIMS Elevated blood pressure (BP) is a prevalent modifiable risk factor for cardiovascular diseases and contributes to cognitive decline in late life. Despite the fact that functional changes may precede irreversible structural damage and emerge in an ongoing manner, studies have been predominantly informed by brain structure and group-level inferences. Here, we aim to delineate neurobiological correlates of BP at an individual level using machine learning and functional connectivity. METHODS AND RESULTS Based on whole-brain functional connectivity from the UK Biobank, we built a machine learning model to identify neural representations for individuals' past (∼8.9 years before scanning, N = 35 882), current (N = 31 367), and future (∼2.4 years follow-up, N = 3 138) BP levels within a repeated cross-validation framework. We examined the impact of multiple potential covariates, as well as assessed these models' generalizability across various contexts.The predictive models achieved significant correlations between predicted and actual systolic/diastolic BP and pulse pressure while controlling for multiple confounders. Predictions for participants not on antihypertensive medication were more accurate than for currently medicated patients. Moreover, the models demonstrated robust generalizability across contexts in terms of ethnicities, imaging centres, medication status, participant visits, gender, age, and body mass index. The identified connectivity patterns primarily involved the cerebellum, prefrontal, anterior insula, anterior cingulate cortex, supramarginal gyrus, and precuneus, which are key regions of the central autonomic network, and involved in cognition processing and susceptible to neurodegeneration in Alzheimer's disease. Results also showed more involvement of default mode and frontoparietal networks in predicting future BP levels and in medicated participants. CONCLUSION This study, based on the largest neuroimaging sample currently available and using machine learning, identifies brain signatures underlying BP, providing evidence for meaningful BP-associated neural representations in connectivity profiles.
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Affiliation(s)
- Rongtao Jiang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Emory University and Georgia State University, Atlanta, GA 30303, USA
| | - Stephanie Noble
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA
| | - Jing Sui
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Emory University and Georgia State University, Atlanta, GA 30303, USA
| | - Qinghao Liang
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Shile Qi
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Emory University and Georgia State University, Atlanta, GA 30303, USA
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA
- Department of Statistics & Data Science, Yale University, New Haven, CT 06520, USA
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
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3
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Pedersen ML, Alnæs D, van der Meer D, Fernandez-Cabello S, Berthet P, Dahl A, Kjelkenes R, Schwarz E, Thompson WK, Barch DM, Andreassen OA, Westlye LT. Computational Modeling of the n-Back Task in the ABCD Study: Associations of Drift Diffusion Model Parameters to Polygenic Scores of Mental Disorders and Cardiometabolic Diseases. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:290-299. [PMID: 35427796 DOI: 10.1016/j.bpsc.2022.03.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/04/2022] [Accepted: 03/31/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Cognitive dysfunction is common in mental disorders and represents a potential risk factor in childhood. The nature and extent of associations between childhood cognitive function and polygenic risk for mental disorders is unclear. We applied computational modeling to gain insight into mechanistic processes underlying decision making and working memory in childhood and their associations with polygenic risk scores (PRSs) for mental disorders and comorbid cardiometabolic diseases. METHODS We used the drift diffusion model to infer latent computational processes underlying decision making and working memory during the n-back task in 3707 children ages 9 to 10 years from the Adolescent Brain Cognitive Development (ABCD) Study. Single nucleotide polymorphism-based heritability was estimated for cognitive phenotypes, including computational parameters, aggregated n-back task performance, and neurocognitive assessments. PRSs were calculated for Alzheimer's disease, bipolar disorder, coronary artery disease (CAD), major depressive disorder, obsessive-compulsive disorder, schizophrenia, and type 2 diabetes. RESULTS Heritability estimates of cognitive phenotypes ranged from 12% to 38%. Bayesian mixed models revealed that slower accumulation of evidence was associated with higher PRSs for CAD and schizophrenia. Longer nondecision time was associated with higher PRSs for Alzheimer's disease and lower PRSs for CAD. Narrower decision threshold was associated with higher PRSs for CAD. Load-dependent effects on nondecision time and decision threshold were associated with PRSs for Alzheimer's disease and CAD, respectively. Aggregated neurocognitive test scores were not associated with PRSs for any of the mental or cardiometabolic phenotypes. CONCLUSIONS We identified distinct associations between computational cognitive processes and genetic risk for mental illness and cardiometabolic disease, which could represent childhood cognitive risk factors.
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Affiliation(s)
- Mads L Pedersen
- Department of Psychology, University of Oslo, Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Bjørknes College, Institute of Psychology, Oslo, Norway
| | - Dennis van der Meer
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Sara Fernandez-Cabello
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Pierre Berthet
- Department of Psychology, University of Oslo, Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Andreas Dahl
- Department of Psychology, University of Oslo, Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Rikka Kjelkenes
- Department of Psychology, University of Oslo, Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Emanuel Schwarz
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Wesley K Thompson
- Division of Biostatistics and Department of Radiology, Population Neuroscience and Genetics Laboratory, University of California San Diego, La Jolla, California
| | - Deanna M Barch
- Departments of Psychological & Brain Sciences, Psychiatry, and Radiology, Washington University, St. Louis, Missouri
| | - Ole A Andreassen
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- Department of Psychology, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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4
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Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9-11. Neuroimage 2022; 263:119611. [PMID: 36070838 DOI: 10.1016/j.neuroimage.2022.119611] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 08/03/2022] [Accepted: 09/03/2022] [Indexed: 12/25/2022] Open
Abstract
Psychiatric disorders are highly heritable and polygenic, and many have their peak onset in late childhood and adolescence, a period of tremendous changes. Although the neurodevelopmental antecedents of mental illness are widely acknowledged, research in youth population cohorts is still scarce, preventing our progress towards the early characterization of these disorders. We included 7,124 children (9-11 years old) from the Adolescent Brain and Cognitive Development Study to map the associations of structural and diffusion brain imaging with common genetic variants and polygenic scores for psychiatric disorders and educational attainment. We used principal component analysis to derive imaging components, and calculated their heritability. We then assessed the relationship of imaging components with genetic and clinical psychiatric risk with univariate models and Canonical correlation analysis (CCA). Most imaging components had moderate heritability. Univariate models showed limited evidence and small associations of polygenic scores with brain structure at this age. CCA revealed two significant modes of covariation. The first mode linked higher polygenic scores for educational attainment with less externalizing problems and larger surface area. The second mode related higher polygenic scores for schizophrenia, bipolar disorder, and autism spectrum disorder to higher global cortical thickness, smaller white matter volumes of the fornix and cingulum, larger medial occipital surface area and smaller surface area of lateral and medial temporal regions. While cross-validation suggested limited generalizability, our results highlight the potential of multivariate models to better understand the transdiagnostic and distributed relationships between mental health and brain structure in late childhood.
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5
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Kroemer NB, Kaufmann T. Metabolic Traces in the Human Brain: Genetic Risk for Diabetes and Altered Structural Connectivity in Depression. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:246-248. [PMID: 35256074 DOI: 10.1016/j.bpsc.2021.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 12/08/2021] [Indexed: 06/14/2023]
Affiliation(s)
- Nils B Kroemer
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany.
| | - Tobias Kaufmann
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany; Norwegian Centre for Mental Disorders Research, Oslo University Hospital and University of Oslo, Oslo, Norway
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6
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Ching CRK, Hibar DP, Gurholt TP, Nunes A, Thomopoulos SI, Abé C, Agartz I, Brouwer RM, Cannon DM, de Zwarte SMC, Eyler LT, Favre P, Hajek T, Haukvik UK, Houenou J, Landén M, Lett TA, McDonald C, Nabulsi L, Patel Y, Pauling ME, Paus T, Radua J, Soeiro‐de‐Souza MG, Tronchin G, van Haren NEM, Vieta E, Walter H, Zeng L, Alda M, Almeida J, Alnæs D, Alonso‐Lana S, Altimus C, Bauer M, Baune BT, Bearden CE, Bellani M, Benedetti F, Berk M, Bilderbeck AC, Blumberg HP, Bøen E, Bollettini I, del Mar Bonnin C, Brambilla P, Canales‐Rodríguez EJ, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz‐Zuluaga AM, Dima D, Duchesnay É, Elvsåshagen T, Fears SC, Frangou S, Fullerton JM, Glahn DC, Goikolea JM, Green MJ, Grotegerd D, Gruber O, Haarman BCM, Henry C, Howells FM, Ives‐Deliperi V, Jansen A, Kircher TTJ, Knöchel C, Kramer B, Lafer B, López‐Jaramillo C, Machado‐Vieira R, MacIntosh BJ, Melloni EMT, Mitchell PB, Nenadic I, Nery F, Nugent AC, Oertel V, Ophoff RA, Ota M, Overs BJ, Pham DL, Phillips ML, Pineda‐Zapata JA, Poletti S, Polosan M, Pomarol‐Clotet E, Pouchon A, Quidé Y, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Schene AH, Sim K, Soares JC, Stäblein M, Stein DJ, Tamnes CK, Thomaidis GV, Upegui CV, Veltman DJ, Wessa M, Westlye LT, Whalley HC, Wolf DH, Wu M, Yatham LN, Zarate CA, Thompson PM, Andreassen OA. What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group. Hum Brain Mapp 2022; 43:56-82. [PMID: 32725849 PMCID: PMC8675426 DOI: 10.1002/hbm.25098] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/31/2020] [Accepted: 06/04/2020] [Indexed: 12/17/2022] Open
Abstract
MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.
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Affiliation(s)
- Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | - Tiril P. Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Abraham Nunes
- Department of PsychiatryDalhousie UniversityHalifaxNova ScotiaCanada
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Christoph Abé
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Center for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Rachel M. Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health SciencesNational University of Ireland GalwayGalwayIreland
| | - Sonja M. C. de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Lisa T. Eyler
- Department of PsychiatryUniversity of CaliforniaLa JollaCaliforniaUSA
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
| | - Pauline Favre
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
| | - Tomas Hajek
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- National Institute of Mental HealthKlecanyCzech Republic
| | - Unn K. Haukvik
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
| | - Josselin Houenou
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
- APHPMondor University Hospitals, DMU IMPACTCréteilFrance
| | - Mikael Landén
- Department of Neuroscience and PhysiologyUniversity of GothenburgGothenburgSweden
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Tristram A. Lett
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
- Department of Neurology with Experimental NeurologyCharité Universitätsmedizin BerlinBerlinGermany
| | - Colm McDonald
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Leila Nabulsi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Yash Patel
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
| | - Melissa E. Pauling
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
| | - Tomas Paus
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
- Departments of Psychology and PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Joaquim Radua
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Early Psychosis: Interventions and Clinical‐detection (EPIC) lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
- Stockholm Health Care ServicesStockholm County CouncilStockholmSweden
| | - Marcio G. Soeiro‐de‐Souza
- Mood Disorders Unit (GRUDA), Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloSPBrazil
| | - Giulia Tronchin
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry/PsychologyErasmus Medical CenterRotterdamThe Netherlands
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Henrik Walter
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
| | - Ling‐Li Zeng
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- College of Intelligence Science and TechnologyNational University of Defense TechnologyChangshaChina
| | - Martin Alda
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Jorge Almeida
- Dell Medical SchoolThe University of Texas at AustinAustinTexasUSA
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
| | - Silvia Alonso‐Lana
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Cara Altimus
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Medical FacultyTechnische Universität DresdenDresdenGermany
| | - Bernhard T. Baune
- Department of PsychiatryUniversity of MünsterMünsterGermany
- Department of PsychiatryThe University of MelbourneMelbourneVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUniversity of CaliforniaLos AngelesCaliforniaUSA
- Department of PsychologyUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement SciencesUniversity of VeronaVeronaItaly
| | - Francesco Benedetti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Michael Berk
- Department of Pathophysiology and TransplantationUniversity of MilanMilanItaly
- IMPACT Institute – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
| | - Amy C. Bilderbeck
- The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of MelbourneOrygenMelbourneVictoriaAustralia
- P1vital LtdWallingfordUK
| | | | - Erlend Bøen
- Mood Disorders Research ProgramYale School of MedicineNew HavenConnecticutUSA
| | - Irene Bollettini
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Caterina del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Paolo Brambilla
- Psychosomatic and CL PsychiatryOslo University HospitalOsloNorway
- Department of Neurosciences and Mental HealthFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Erick J. Canales‐Rodríguez
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
- Department of RadiologyCentre Hospitalier Universitaire Vaudois (CHUV)LausanneSwitzerland
- Signal Processing Lab (LTS5), École Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
| | - Orwa Dandash
- Melbourne Neuropsychiatry Centre, Department of PsychiatryUniversity of Melbourne and Melbourne HealthMelbourneVictoriaAustralia
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityClaytonVictoriaAustralia
| | - Udo Dannlowski
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | | | - Ana M. Díaz‐Zuluaga
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Danai Dima
- Department of Psychology, School of Social Sciences and ArtsCity, University of LondonLondonUK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | | | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
- Department of NeurologyOslo University HospitalOsloNorway
- Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Scott C. Fears
- Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Greater Los Angeles Veterans AdministrationLos AngelesCaliforniaUSA
| | - Sophia Frangou
- Centre for Brain HealthUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Janice M. Fullerton
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of Medical SciencesUniversity of New South WalesSydneyNew South WalesAustralia
| | - David C. Glahn
- Department of PsychiatryBoston Children's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Jose M. Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Melissa J. Green
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | | | - Oliver Gruber
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Bartholomeus C. M. Haarman
- Department of Psychiatry, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Chantal Henry
- Department of PsychiatryService Hospitalo‐Universitaire, GHU Paris Psychiatrie & NeurosciencesParisFrance
- Université de ParisParisFrance
| | - Fleur M. Howells
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | | | - Andreas Jansen
- Core‐Facility Brainimaging, Faculty of MedicineUniversity of MarburgMarburgGermany
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Tilo T. J. Kircher
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Christian Knöchel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Bernd Kramer
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Beny Lafer
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São PauloSão PauloSPBrazil
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
- Mood Disorders ProgramHospital Universitario Trastorno del ÁnimoMedellínColombia
| | - Rodrigo Machado‐Vieira
- Experimental Therapeutics and Molecular Pathophysiology Program, Department of PsychiatryUTHealth, University of TexasHoustonTexasUSA
| | - Bradley J. MacIntosh
- Hurvitz Brain SciencesSunnybrook Research InstituteTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Elisa M. T. Melloni
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Philip B. Mitchell
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Igor Nenadic
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Fabiano Nery
- University of CincinnatiCincinnatiOhioUSA
- Universidade de São PauloSão PauloSPBrazil
| | | | - Viola Oertel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Roel A. Ophoff
- UCLA Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Department of PsychiatryErasmus Medical Center, Erasmus UniversityRotterdamThe Netherlands
| | - Miho Ota
- Department of Mental Disorder ResearchNational Institute of Neuroscience, National Center of Neurology and PsychiatryTokyoJapan
| | | | - Daniel L. Pham
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Mary L. Phillips
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Sara Poletti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Mircea Polosan
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
- INSERM U1216 ‐ Grenoble Institut des NeurosciencesLa TroncheFrance
| | - Edith Pomarol‐Clotet
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Arnaud Pouchon
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
| | - Yann Quidé
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Maria M. Rive
- Department of PsychiatryAmsterdam UMC, location AMCAmsterdamThe Netherlands
| | - Gloria Roberts
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Henricus G. Ruhe
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviorRadboud UniversityNijmegenThe Netherlands
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Theodore D. Satterthwaite
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Aart H. Schene
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
| | - Kang Sim
- West Region, Institute of Mental HealthSingaporeSingapore
- Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Jair C. Soares
- Center of Excellent on Mood DisordersUTHealth HoustonHoustonTexasUSA
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Michael Stäblein
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Dan J. Stein
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
- SAMRC Unit on Risk & Resilience in Mental DisordersUniversity of Cape TownCape TownSouth Africa
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | - Georgios V. Thomaidis
- Papanikolaou General HospitalThessalonikiGreece
- Laboratory of Mechanics and MaterialsSchool of Engineering, Aristotle UniversityThessalonikiGreece
| | - Cristian Vargas Upegui
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Dick J. Veltman
- Department of PsychiatryAmsterdam UMCAmsterdamThe Netherlands
| | - Michèle Wessa
- Department of Neuropsychology and Clinical PsychologyJohannes Gutenberg‐University MainzMainzGermany
| | - Lars T. Westlye
- Department of PsychologyUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and AddictionOslo University HospitalOsloNorway
| | | | - Daniel H. Wolf
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Mon‐Ju Wu
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Carlos A. Zarate
- Chief Experimental Therapeutics & Pathophysiology BranchBethesdaMarylandUSA
- Intramural Research ProgramNational Institute of Mental HealthBethesdaMarylandUSA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
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7
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Cheng W, Frei O, van der Meer D, Wang Y, O’Connell KS, Chu Y, Bahrami S, Shadrin AA, Alnæs D, Hindley GFL, Lin A, Karadag N, Fan CC, Westlye LT, Kaufmann T, Molden E, Dale AM, Djurovic S, Smeland OB, Andreassen OA. Genetic Association Between Schizophrenia and Cortical Brain Surface Area and Thickness. JAMA Psychiatry 2021; 78:1020-1030. [PMID: 34160554 PMCID: PMC8223140 DOI: 10.1001/jamapsychiatry.2021.1435] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 04/28/2021] [Indexed: 01/03/2023]
Abstract
Importance Schizophrenia is a complex heritable disorder associated with many genetic variants, each with a small effect. While cortical differences between patients with schizophrenia and healthy controls are consistently reported, the underlying molecular mechanisms remain elusive. Objective To investigate the extent of shared genetic architecture between schizophrenia and brain cortical surface area (SA) and thickness (TH) and to identify shared genomic loci. Design, Setting, and Participants Independent genome-wide association study data on schizophrenia (Psychiatric Genomics Consortium and CLOZUK: n = 105 318) and SA and TH (UK Biobank: n = 33 735) were obtained. The extent of polygenic overlap was investigated using MiXeR. The specific shared genomic loci were identified by conditional/conjunctional false discovery rate analysis and were further examined in 3 independent cohorts. Data were collected from December 2019 to February 2021, and data analysis was performed from May 2020 to February 2021. Main Outcomes and Measures The primary outcomes were estimated fractions of polygenic overlap between schizophrenia, total SA, and average TH and a list of functionally characterized shared genomic loci. Results Based on genome-wide association study data from 139 053 participants, MiXeR estimated schizophrenia to be more polygenic (9703 single-nucleotide variants [SNVs]) than total SA (2101 SNVs) and average TH (1363 SNVs). Most SNVs associated with total SA (1966 of 2101 [93.6%]) and average TH (1322 of 1363 [97.0%]) may be associated with the development of schizophrenia. Subsequent conjunctional false discovery rate analysis identified 44 and 23 schizophrenia risk loci shared with total SA and average TH, respectively. The SNV associations of shared loci between schizophrenia and total SA revealed en masse concordant association between the discovery and independent cohorts. After removing high linkage disequilibrium regions, such as the major histocompatibility complex region, the shared loci were enriched in immunologic signature gene sets. Polygenic overlap and shared loci between schizophrenia and schizophrenia-associated regions of interest for SA (superior frontal and middle temporal gyri) and for TH (superior temporal, inferior temporal, and superior frontal gyri) were also identified. Conclusions and Relevance This study demonstrated shared genetic loci between cortical morphometry and schizophrenia, among which a subset are associated with immunity. These findings provide an insight into the complex genetic architecture and associated with schizophrenia.
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Affiliation(s)
- Weiqiu Cheng
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Oleksandr Frei
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dennis van der Meer
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Yunpeng Wang
- Centre for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Kevin S. O’Connell
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Yunhan Chu
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Shahram Bahrami
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alexey A. Shadrin
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Guy F. L. Hindley
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Psychosis Studies, Institute of Psychiatry, Psychology and Neurosciences, King’s College London, London, United Kingdom
| | - Aihua Lin
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Naz Karadag
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Chun-Chieh Fan
- Population Neuroscience and Genetics Lab, University of California, San Diego, La Jolla
- Center for Human Development, University of California, San Diego, La Jolla
| | - Lars T. Westlye
- 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
| | - Tobias Kaufmann
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Espen Molden
- Center for Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway
- Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Anders M. Dale
- Department of Radiology, University of California, San Diego, La Jolla
- Department of Psychiatry, University of California, San Diego, La Jolla
- Department of Neurosciences, University of California San Diego, La Jolla
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Olav B. Smeland
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A. Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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8
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Gurholt TP, Kaufmann T, Frei O, Alnæs D, Haukvik UK, van der Meer D, Moberget T, O'Connell KS, Leinhard OD, Linge J, Simon R, Smeland OB, Sønderby IE, Winterton A, Steen NE, Westlye LT, Andreassen OA. Population-based body-brain mapping links brain morphology with anthropometrics and body composition. Transl Psychiatry 2021; 11:295. [PMID: 34006848 PMCID: PMC8131380 DOI: 10.1038/s41398-021-01414-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 04/12/2021] [Accepted: 04/19/2021] [Indexed: 12/13/2022] Open
Abstract
Understanding complex body-brain processes and the interplay between adipose tissue and brain health is important for understanding comorbidity between psychiatric and cardiometabolic disorders. We investigated associations between brain structure and anthropometric and body composition measures using brain magnetic resonance imaging (MRI; n = 24,728) and body MRI (n = 4973) of generally healthy participants in the UK Biobank. We derived regional and global measures of brain morphometry using FreeSurfer and tested their association with (i) anthropometric measures, and (ii) adipose and muscle tissue measured from body MRI. We identified several significant associations with small effect sizes. Anthropometric measures showed negative, nonlinear, associations with cerebellar/cortical gray matter, and brain stem structures, and positive associations with ventricular volumes. Subcortical structures exhibited mixed effect directionality, with strongest positive association for accumbens. Adipose tissue measures, including liver fat and muscle fat infiltration, were negatively associated with cortical/cerebellum structures, while total thigh muscle volume was positively associated with brain stem and accumbens. Regional investigations of cortical area, thickness, and volume indicated widespread and largely negative associations with anthropometric and adipose tissue measures, with an opposite pattern for thigh muscle volume. Self-reported diabetes, hypertension, or hypercholesterolemia were associated with brain structure. The findings provide new insight into physiological body-brain associations suggestive of shared mechanisms between cardiometabolic risk factors and brain health. Whereas the causality needs to be determined, the observed patterns of body-brain relationships provide a foundation for understanding the underlying mechanisms linking psychiatric disorders with obesity and cardiovascular disease, with potential for the development of new prevention strategies.
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Affiliation(s)
- Tiril P Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway.
| | - Tobias Kaufmann
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Oleksandr Frei
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Unn K Haukvik
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Torgeir Moberget
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Kevin S O'Connell
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Olof D Leinhard
- AMRA Medical, Linköping, Sweden
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | | | - Rozalyn Simon
- AMRA Medical, Linköping, Sweden
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Olav B Smeland
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Ida E Sønderby
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Adriano Winterton
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Nils Eiel Steen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
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9
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O'Connell KS, Sønderby IE, Frei O, van der Meer D, Athanasiu L, Smeland OB, Alnæs D, Kaufmann T, Westlye LT, Steen VM, Andreassen OA, Hughes T, Djurovic S. Association between complement component 4A expression, cognitive performance and brain imaging measures in UK Biobank. Psychol Med 2021; 52:1-11. [PMID: 33653435 PMCID: PMC9772918 DOI: 10.1017/s0033291721000179] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 01/06/2021] [Accepted: 01/19/2021] [Indexed: 12/30/2022]
Abstract
Abstract. BACKGROUND Altered expression of the complement component C4A gene is a known risk factor for schizophrenia. Further, predicted brain C4A expression has also been associated with memory function highlighting that altered C4A expression in the brain may be relevant for cognitive and behavioral traits. METHODS We obtained genetic information and performance measures on seven cognitive tasks for up to 329 773 individuals from the UK Biobank, as well as brain imaging data for a subset of 33 003 participants. Direct genotypes for variants (n = 3213) within the major histocompatibility complex region were used to impute C4 structural variation, from which predicted expression of the C4A and C4B genes in human brain tissue were predicted. We investigated if predicted brain C4A or C4B expression were associated with cognitive performance and brain imaging measures using linear regression analyses. RESULTS We identified significant negative associations between predicted C4A expression and performance on select cognitive tests, and significant associations with MRI-based cortical thickness and surface area in select regions. Finally, we observed significant inconsistent partial mediation of the effects of predicted C4A expression on cognitive performance, by specific brain structure measures. CONCLUSIONS These results demonstrate that the C4 risk locus is associated with the central endophenotypes of cognitive performance and brain morphology, even when considered independently of other genetic risk factors and in individuals without mental or neurological disorders.
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Affiliation(s)
- Kevin S. O'Connell
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ida E. Sønderby
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Oleksandr Frei
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Dennis van der Meer
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Lavinia Athanasiu
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Olav B. Smeland
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Dag Alnæs
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Tobias Kaufmann
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Lars T. Westlye
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Vidar M. Steen
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Dr Einar Martens' Research Group for Biological Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Ole A. Andreassen
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Timothy Hughes
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
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10
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Haukvik UK, Gurholt TP, Nerland S, Elvsåshagen T, Akudjedu TN, Alda M, Alnæs D, Alonso‐Lana S, Bauer J, Baune BT, Benedetti F, Berk M, Bettella F, Bøen E, Bonnín CM, Brambilla P, Canales‐Rodríguez EJ, Cannon DM, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz‐Zuluaga AM, Erp TGM, Fatjó‐Vilas M, Foley SF, Förster K, Fullerton JM, Goikolea JM, Grotegerd D, Gruber O, Haarman BCM, Haatveit B, Hajek T, Hallahan B, Harris M, Hawkins EL, Howells FM, Hülsmann C, Jahanshad N, Jørgensen KN, Kircher T, Krämer B, Krug A, Kuplicki R, Lagerberg TV, Lancaster TM, Lenroot RK, Lonning V, López‐Jaramillo C, Malt UF, McDonald C, McIntosh AM, McPhilemy G, Meer D, Melle I, Melloni EMT, Mitchell PB, Nabulsi L, Nenadić I, Oertel V, Oldani L, Opel N, Otaduy MCG, Overs BJ, Pineda‐Zapata JA, Pomarol‐Clotet E, Radua J, Rauer L, Redlich R, Repple J, Rive MM, Roberts G, Ruhe HG, Salminen LE, Salvador R, Sarró S, Savitz J, Schene AH, Sim K, Soeiro‐de‐Souza MG, Stäblein M, Stein DJ, Stein F, Tamnes CK, Temmingh HS, Thomopoulos SI, Veltman DJ, Vieta E, Waltemate L, Westlye LT, Whalley HC, Sämann PG, Thompson PM, Ching CRK, Andreassen OA, Agartz I. In vivo hippocampal subfield volumes in bipolar disorder—A mega‐analysis from The Enhancing Neuro Imaging Genetics through
Meta‐Analysis
Bipolar Disorder Working Group. Hum Brain Mapp 2020; 43:385-398. [PMID: 33073925 PMCID: PMC8675404 DOI: 10.1002/hbm.25249] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 09/18/2020] [Accepted: 10/06/2020] [Indexed: 01/02/2023] Open
Abstract
The hippocampus consists of anatomically and functionally distinct subfields that may be differentially involved in the pathophysiology of bipolar disorder (BD). Here we, the Enhancing NeuroImaging Genetics through Meta‐Analysis Bipolar Disorder workinggroup, study hippocampal subfield volumetry in BD. T1‐weighted magnetic resonance imaging scans from 4,698 individuals (BD = 1,472, healthy controls [HC] = 3,226) from 23 sites worldwide were processed with FreeSurfer. We used linear mixed‐effects models and mega‐analysis to investigate differences in hippocampal subfield volumes between BD and HC, followed by analyses of clinical characteristics and medication use. BD showed significantly smaller volumes of the whole hippocampus (Cohen's d = −0.20), cornu ammonis (CA)1 (d = −0.18), CA2/3 (d = −0.11), CA4 (d = −0.19), molecular layer (d = −0.21), granule cell layer of dentate gyrus (d = −0.21), hippocampal tail (d = −0.10), subiculum (d = −0.15), presubiculum (d = −0.18), and hippocampal amygdala transition area (d = −0.17) compared to HC. Lithium users did not show volume differences compared to HC, while non‐users did. Antipsychotics or antiepileptic use was associated with smaller volumes. In this largest study of hippocampal subfields in BD to date, we show widespread reductions in nine of 12 subfields studied. The associations were modulated by medication use and specifically the lack of differences between lithium users and HC supports a possible protective role of lithium in BD.
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Affiliation(s)
- Unn K. Haukvik
- Department of Adult Mental Health Institute of Clinical Medicine, University of Oslo Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Tiril P. Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Stener Nerland
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Department of Neurology Oslo University Hospital Oslo Norway
- Institute of Clinical Medicine University of Oslo Oslo Norway
| | - Theophilus N. Akudjedu
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
- Institute of Medical Imaging & Visualisation Faculty of Health & Social Sciences, Bournemouth University Bournemouth UK
| | - Martin Alda
- Department of Psychiatry Dalhousie University Halifax Nova Scotia Canada
- National Institute of Mental Health Klecany Czech Republic
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Silvia Alonso‐Lana
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Jochen Bauer
- Institute of Clinical Radiology University of Münster Münster Germany
| | - Bernhard T. Baune
- Department of Psychiatry University of Münster Münster Germany
- Department of Psychiatry Melbourne Medical School, The University of Melbourne Melbourne Australia
- The Florey Institute of Neuroscience and Mental Health The University of Melbourne Parkville Australia
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology Scientific Institute Ospedale San Raffaele Milan Italy
- University Vita‐Salute San Raffaele Milan Italy
| | - Michael Berk
- Deakin University IMPACT, the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health Geelong Victoria Australia
- Orygen, The National Centre of Excellence in Youth Mental Health and Centre for Youth Mental Health, the Department of Psychiatry and the Florey Institute for Neuroscience and Mental Health The University of Melbourne Melbourne Victoria Australia
| | - Francesco Bettella
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Erlend Bøen
- Psychosomatic and CL Psychiatry Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Caterina M. Bonnín
- Barcelona Bipolar Disorders and Depressive Unit Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM Barcelona Spain
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milan Italy
- Department of Pathophysiology and Transplantation University of Milan Milan Italy
| | | | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Department of Psychological Medicine and Clinical Neurosciences Cardiff University Cardiff UK
| | - Orwa Dandash
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences Monash University Clayton Victoria Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry University of Melbourne and Melbourne Health Melbourne Victoria Australia
| | - Udo Dannlowski
- Department of Psychiatry University of Münster Münster Germany
| | - Giuseppe Delvecchio
- Department of Pathophysiology and Transplantation University of Milan Milan Italy
| | - Ana M. Díaz‐Zuluaga
- Research Group in Psychiatry, Department of Psychiatry Faculty of Medicine, Universidad de Antioquia Medellín Antioquia Colombia
| | - Theo G. M. Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior University of California Irvine Irvine California USA
- Center for the Neurobiology of Learning University of California Irvine and Memory Irvine California USA
| | - Mar Fatjó‐Vilas
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Sonya F. Foley
- Cardiff University Brain Research Imaging Centre (CUBRIC) Cardiff University Cardiff UK
| | | | - Janice M. Fullerton
- Neuroscience Research Australia Randwick New South Wales Australia
- School of Medical Sciences The University of New South Wales Sydney New South Wales Australia
| | - José M. Goikolea
- Barcelona Bipolar Disorders and Depressive Unit Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM Barcelona Spain
| | | | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry Heidelberg University Hospital Heidelberg Germany
| | - Bartholomeus C. M. Haarman
- Department of Psychiatry University Medical Center Groningen, University of Groningen Groningen The Netherlands
| | - Beathe Haatveit
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Tomas Hajek
- Department of Psychiatry Dalhousie University Halifax Nova Scotia Canada
- National Institute of Mental Health Klecany Czech Republic
| | - Brian Hallahan
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Mathew Harris
- Division of Psychiatry University of Edinburgh Edinburgh UK
| | | | - Fleur M. Howells
- Department of Psychiatry and Mental Health University of Cape Town Cape Town Western Cape South Africa
- Neuroscience Institute University of Cape Town Cape Town Western Cape South Africa
| | - Carina Hülsmann
- Department of Psychiatry University of Münster Münster Germany
| | - Neda Jahanshad
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Kjetil N. Jørgensen
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
| | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry Heidelberg University Hospital Heidelberg Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
- Department of Psychiatry and Psychotherapy University of Bonn Bonn Germany
| | - Rayus Kuplicki
- Laureate Institute for Brain Research Tulsa Oklahoma USA
| | - Trine V. Lagerberg
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Thomas M. Lancaster
- Cardiff University Brain Research Imaging Centre (CUBRIC) Cardiff University Cardiff UK
- School of Psychology Bath University Bath UK
| | - Rhoshel K. Lenroot
- Neuroscience Research Australia Randwick New South Wales Australia
- School of Psychiatry University of New South Wales Sydney New South Wales Australia
- University of New Mexico Albuquerque New Mexico USA
| | - Vera Lonning
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry, Department of Psychiatry Faculty of Medicine, Universidad de Antioquia Medellín Antioquia Colombia
- Mood Disorders Program Hospital Universitario San Vicente Fundación Medellín Antioquia Colombia
| | - Ulrik F. Malt
- Institute of Clinical Medicine University of Oslo Oslo Norway
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | | | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Dennis Meer
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- School of Mental Health and Neuroscience Faculty of Health, Medicine and Life Sciences, Maastricht University Maastricht The Netherlands
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Elisa M. T. Melloni
- Psychiatry and Clinical Psychobiology Scientific Institute Ospedale San Raffaele Milan Italy
- University Vita‐Salute San Raffaele Milan Italy
| | - Philip B. Mitchell
- School of Psychiatry University of New South Wales Sydney New South Wales Australia
- Black Dog Institute Sydney New South Wales Australia
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
| | - Viola Oertel
- Department of Psychiatry Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt Frankfurt am Main Germany
| | - Lucio Oldani
- Department of Neurosciences and Mental Health Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milan Italy
| | - Nils Opel
- Department of Psychiatry University of Münster Münster Germany
| | - Maria C. G. Otaduy
- LIM44, Department of Radiology and Oncology University of São Paulo São Paulo Brazil
| | - Bronwyn J. Overs
- Neuroscience Research Australia Randwick New South Wales Australia
| | - Julian A. Pineda‐Zapata
- Research Group in Psychiatry, Department of Psychiatry Faculty of Medicine, Universidad de Antioquia Medellín Antioquia Colombia
- Research Group Instituto de Alta Tecnología Médica Medellín Antioquia Colombia
| | | | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM Barcelona Spain
- Department of Psychosis Studies Institute of Psychiatry, Psychology and Neuroscience, King's College London London UK
- Department of Clinical Neuroscience Centre for Psychiatry Research, Karolinska Institutet Stockholm Sweden
| | - Lisa Rauer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry Heidelberg University Hospital Heidelberg Germany
| | - Ronny Redlich
- Department of Psychiatry University of Münster Münster Germany
| | - Jonathan Repple
- Department of Psychiatry University of Münster Münster Germany
| | - Maria M. Rive
- Psychiatry Amsterdam UMC, Location AMC Amsterdam The Netherlands
| | - Gloria Roberts
- School of Psychiatry University of New South Wales Sydney New South Wales Australia
- Black Dog Institute Sydney New South Wales Australia
| | - Henricus G. Ruhe
- Psychiatry Amsterdam UMC, Location AMC Amsterdam The Netherlands
- Donders Institute for Brain, Cognition and Behavior Radboud University Nijmegen The Netherlands
- Department of Psychiatry Radboudumc Nijmegen The Netherlands
| | - Lauren E. Salminen
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Jonathan Savitz
- Laureate Institute for Brain Research Tulsa Oklahoma USA
- Oxley College of Health Sciences The University of Tulsa Tulsa Oklahoma USA
| | - Aart H. Schene
- Donders Institute for Brain, Cognition and Behavior Radboud University Nijmegen The Netherlands
- Department of Psychiatry Radboudumc Nijmegen The Netherlands
| | - Kang Sim
- West Region/Institute of Mental Health Singapore Singapore
- Yong Loo Lin School of Medicine/National University of Singapore Singapore Singapore
- Lee Kong Chian School of Medicine/Nanyang Technological University Singapore Singapore
| | | | - Michael Stäblein
- Department of Psychiatry Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt Frankfurt am Main Germany
| | - Dan J. Stein
- Department of Psychiatry and Mental Health University of Cape Town Cape Town Western Cape South Africa
- Neuroscience Institute University of Cape Town Cape Town Western Cape South Africa
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute University of Cape Town Cape Town Western Cape South Africa
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
- PROMENTA Research Center, Department of Psychology University of Oslo Oslo Norway
| | - Henk S. Temmingh
- Department of Psychiatry and Mental Health University of Cape Town Cape Town Western Cape South Africa
- General Adult Psychiatry Division Valkenberg Hospital Cape Town Western Cape South Africa
| | - Sophia I. Thomopoulos
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Dick J. Veltman
- Department of Psychiatry Amsterdam UMC, Location VUMC Amsterdam The Netherlands
- Amsterdam Neuroscience Amsterdam UMC Amsterdam The Netherlands
| | - Eduard Vieta
- Hospital Clinic University of Barcelona, IDIBAPS, CIBERSAM Barcelona Catalonia Spain
| | - Lena Waltemate
- Department of Psychiatry University of Münster Münster Germany
| | - Lars T. Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Department of Psychology University of Oslo Oslo Norway
| | | | | | - Paul M. Thompson
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Christopher R. K. Ching
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
- Department of Clinical Neuroscience Centre for Psychiatric Research, Karolinska Institutet Stockholm Sweden
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11
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Maglanoc LA, Kaufmann T, van der Meer D, Marquand AF, Wolfers T, Jonassen R, Hilland E, Andreassen OA, Landrø NI, Westlye LT. Brain Connectome Mapping of Complex Human Traits and Their Polygenic Architecture Using Machine Learning. Biol Psychiatry 2020; 87:717-726. [PMID: 31858985 DOI: 10.1016/j.biopsych.2019.10.011] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 10/07/2019] [Accepted: 10/18/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Mental disorders and individual characteristics such as intelligence and personality are complex traits sharing a largely unknown neuronal basis. Their genetic architectures are highly polygenic and overlapping, which is supported by heterogeneous phenotypic expression and substantial clinical overlap. Brain network analysis provides a noninvasive means of dissecting biological heterogeneity, yet its sensitivity, specificity, and validity in assessing individual characteristics relevant for brain function and mental health and their genetic underpinnings in clinical applications remain a challenge. METHODS In a machine learning approach, we predicted individual scores for educational attainment, fluid intelligence and dimensional measures of depression, anxiety, and neuroticism using functional magnetic resonance imaging-based static and dynamic temporal synchronization between large-scale brain network nodes in 10,343 healthy individuals from the UK Biobank. In addition to using age and sex to serve as our reference point, we also predicted individual polygenic scores for related phenotypes and 13 different neuroticism traits and schizophrenia. RESULTS Beyond high accuracy for age and sex, supporting the biological sensitivity of the connectome-based features, permutation tests revealed above chance-level prediction accuracy for trait-level educational attainment and fluid intelligence. Educational attainment and fluid intelligence were mainly negatively associated with static brain connectivity in frontal and default mode networks, whereas age showed positive correlations with a more widespread pattern. In contrast, prediction accuracy was at chance level for depression, anxiety, neuroticism, and polygenic scores across traits. CONCLUSIONS These novel findings provide a benchmark for future studies linking the genetic architecture of individual and mental health traits with functional magnetic resonance imaging-based brain connectomics.
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Affiliation(s)
- Luigi A Maglanoc
- Department of Psychology, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
| | - Tobias Kaufmann
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Andre F Marquand
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands; Department of Neuroimaging, Institute of Psychiatry, King's College London, London, United Kingdom
| | - Thomas Wolfers
- Department of Psychology, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Rune Jonassen
- Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Eva Hilland
- Department of Psychology, University of Oslo, Oslo, Norway; Division of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Lars T Westlye
- Department of Psychology, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
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12
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Gurholt TP, Haukvik UK, Lonning V, Jönsson EG, Pasternak O, Agartz I. Microstructural White Matter and Links With Subcortical Structures in Chronic Schizophrenia: A Free-Water Imaging Approach. Front Psychiatry 2020; 11:56. [PMID: 32180735 PMCID: PMC7057718 DOI: 10.3389/fpsyt.2020.00056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 01/22/2020] [Indexed: 12/02/2022] Open
Abstract
Schizophrenia is a severe mental disorder with often a chronic course. Neuroimaging studies report brain abnormalities in both white and gray matter structures. However, the relationship between microstructural white matter differences and volumetric subcortical structures is not known. We investigated 30 long-term treated patients with schizophrenia and schizoaffective disorder (mean age 51.1 ± 7.9 years, mean illness duration 27.6 ± 8.0 years) and 42 healthy controls (mean age 54.1 ± 9.1 years) using 3 T diffusion and structural magnetic resonance imaging. The free-water imaging method was used to model the diffusion signal, and subcortical volumes were obtained from FreeSurfer. We applied multiple linear regression to investigate associations between (i) patient status and regional white matter microstructure, (ii) medication dose or clinical symptoms on white matter microstructure in patients, and (iii) for interactions between subcortical volumes and diagnosis on microstructural white matter regions showing significant patient-control differences. The patients had significantly decreased free-water corrected fractional anisotropy (FAt), explained by decreased axial diffusivity and increased radial diffusivity (RDt) bilaterally in the anterior corona radiata (ACR) and the left anterior limb of the internal capsule (ALIC) compared to controls. In the fornix, the patients had significantly increased RDt. In patients, positive symptoms were associated with localized increased free-water and negative symptoms with localized decreased FAt and increased RDt. There were significant interactions between patient status and several subcortical structures on white matter microstructure and the free-water compartment for left ACR and fornix, and limited to the free-water compartment for right ACR and left ALIC. The Cohen's d effect sizes were medium to large (0.61 to 1.20, absolute values). The results suggest a specific pattern of frontal white matter axonal degeneration and demyelination and fornix demyelination that is attenuated in the presence of larger structures of the limbic system in patients with chronic schizophrenia and schizoaffective disorder. Findings warrant replication in larger samples.
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Affiliation(s)
- Tiril P Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.,Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Unn K Haukvik
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.,Department of Adult Mental Health, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Vera Lonning
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Erik G Jönsson
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, and Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.,Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, and Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
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