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Del Giacco AC, Morales AM, Jones SA, Barnes SJ, Nagel BJ. Ventral striatal-cingulate resting-state functional connectivity in healthy adolescents relates to later depression symptoms in adulthood. J Affect Disord 2024; 365:205-212. [PMID: 39134157 DOI: 10.1016/j.jad.2024.08.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 07/10/2024] [Accepted: 08/09/2024] [Indexed: 08/24/2024]
Abstract
BACKGROUND Depression is a significant public health concern. Identifying biopsychosocial risk factors for depression is important for developing targeted prevention. Studies have demonstrated that blunted striatal activation during reward processing is a risk factor for depression; however, few have prospectively examined whether adolescent reward-related resting-state functional connectivity (rsFC) predicts depression symptoms in adulthood and how this relates to known risk factors (e.g., childhood trauma). METHODS At baseline, 66 adolescents (mean age = 14.7, SD = 1.4, 68 % female) underwent rsFC magnetic resonance imaging and completed the Children's Depression Inventory (CDI). At follow-up (mean time between adolescent scan and adult follow-up = 10.1 years, SD = 1.6, mean adult age = 24.8 years, SD = 1.7), participants completed the Childhood Trauma Questionnaire (CTQ) and Beck Depression Inventory- Second Edition (BDI-2). Average rsFC was calculated between nodes in mesocorticolimbic reward circuitry: ventral striatum (VS), rostral anterior cingulate cortex (rACC), medial orbitofrontal cortex, and ventral tegmental area. Linear regressions assessed associations between rsFC, BDI-2, and CTQ, controlling for adolescent CDI, sex assigned at birth, and scan age (Bonferroni corrected). RESULTS Greater childhood trauma was associated with higher adulthood depression symptoms. Stronger VS-rACC rsFC during adolescence was associated with greater depression symptoms in adulthood and greater childhood trauma. LIMITATIONS The small sample size, limited depression severity, and seed-based approach are limitations. CONCLUSIONS The associations between adolescent striatal-cingulate rsFC and childhood trauma and adult depression symptoms suggest this connectivity may be an early neurobiological risk factor for depression and that early life experience plays an important role. Increased VS-rACC connectivity may represent an over-regulatory response on the striatum, commonly reported in depression, and warrants further investigation.
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Affiliation(s)
| | | | - Scott A Jones
- Department of Psychiatry, Oregon Health & Science University, USA
| | | | - Bonnie J Nagel
- Department of Psychiatry, Oregon Health & Science University, USA; Department of Behavioral Neuroscience, Oregon Health & Science University, USA
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Oliver D, Chesney E, Cullen AE, Davies C, Englund A, Gifford G, Kerins S, Lalousis PA, Logeswaran Y, Merritt K, Zahid U, Crossley NA, McCutcheon RA, McGuire P, Fusar-Poli P. Exploring causal mechanisms of psychosis risk. Neurosci Biobehav Rev 2024; 162:105699. [PMID: 38710421 PMCID: PMC11250118 DOI: 10.1016/j.neubiorev.2024.105699] [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: 11/01/2023] [Revised: 02/17/2024] [Accepted: 04/28/2024] [Indexed: 05/08/2024]
Abstract
Robust epidemiological evidence of risk and protective factors for psychosis is essential to inform preventive interventions. Previous evidence syntheses have classified these risk and protective factors according to their strength of association with psychosis. In this critical review we appraise the distinct and overlapping mechanisms of 25 key environmental risk factors for psychosis, and link these to mechanistic pathways that may contribute to neurochemical alterations hypothesised to underlie psychotic symptoms. We then discuss the implications of our findings for future research, specifically considering interactions between factors, exploring universal and subgroup-specific factors, improving understanding of temporality and risk dynamics, standardising operationalisation and measurement of risk and protective factors, and developing preventive interventions targeting risk and protective factors.
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Affiliation(s)
- Dominic Oliver
- Department of Psychiatry, University of Oxford, Oxford, UK; NIHR Oxford Health Biomedical Research Centre, Oxford, UK; OPEN Early Detection Service, Oxford Health NHS Foundation Trust, Oxford, UK; Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Edward Chesney
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 4 Windsor Walk, London SE5 8AF, UK
| | - Alexis E Cullen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Clinical Neuroscience, Karolinska Institutet, Sweden
| | - Cathy Davies
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Amir Englund
- Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 4 Windsor Walk, London SE5 8AF, UK
| | - George Gifford
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Sarah Kerins
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Paris Alexandros Lalousis
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Yanakan Logeswaran
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Biostatistics & Health Informatics, King's College London, London, UK
| | - Kate Merritt
- Division of Psychiatry, Institute of Mental Health, UCL, London, UK
| | - Uzma Zahid
- Department of Psychology, King's College London, London, UK
| | - Nicolas A Crossley
- Department of Psychiatry, University of Oxford, Oxford, UK; Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Chile
| | - Robert A McCutcheon
- Department of Psychiatry, University of Oxford, Oxford, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Oxford Health NHS Foundation Trust, Oxford, UK
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK; NIHR Oxford Health Biomedical Research Centre, Oxford, UK; OPEN Early Detection Service, Oxford Health NHS Foundation Trust, Oxford, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; OASIS Service, South London and Maudsley NHS Foundation Trust, London SE11 5DL, UK
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Huang D, Wu Y, Yue J, Wang X. Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study. BMC Psychiatry 2024; 24:402. [PMID: 38811927 PMCID: PMC11138044 DOI: 10.1186/s12888-024-05857-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 05/20/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND Cerebral resting-state networks were suggested to be strongly associated with depressive disorders. However, the causal relationship between cerebral networks and depressive disorders remains controversial. In this study, we aimed to investigate the effect of resting-state networks on depressive disorders using a bidirectional Mendelian randomization (MR) design. METHODS Updated summary-level genome-wide association study (GWAS) data correlated with resting-state networks were obtained from a meta-analysis of European-descent GWAS from the Complex Trait Genetics Lab. Depression-related GWAS data were obtained from the FinnGen study involving participants with European ancestry. Resting-state functional magnetic resonance imaging and multiband diffusion imaging of the brain were performed to measure functional and structural connectivity in seven well-known networks. Inverse-variance weighting was used as the primary estimate, whereas the MR-Pleiotropy RESidual Sum and Outliers (PRESSO), MR-Egger, and weighted median were used to detect heterogeneity, sensitivity, and pleiotropy. RESULTS In total, 20,928 functional and 20,573 structural connectivity data as well as depression-related GWAS data from 48,847 patients and 225,483 controls were analyzed. Evidence for a causal effect of the structural limbic network on depressive disorders was found in the inverse variance-weighted limbic network (odds ratio, [Formula: see text]; 95% confidence interval, [Formula: see text]; [Formula: see text]), whereas the causal effect of depressive disorders on SC LN was not found(OR=1.0025; CI,1.0005-1.0046; P=0.012). No significant associations between functional connectivity of the resting-state networks and depressive disorders were found in this MR study. CONCLUSIONS These results suggest that genetically determined structural connectivity of the limbic network has a causal effect on depressive disorders and may play a critical role in its neuropathology.
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Affiliation(s)
- Dongmiao Huang
- Department of Psychiatry, the Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, East Meihua Road, Zhuhai City, Guangdong Province, 519000, China
| | - Yuelin Wu
- Department of Psychiatry, the Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, East Meihua Road, Zhuhai City, Guangdong Province, 519000, China
| | - Jihui Yue
- Department of Psychiatry, the Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, East Meihua Road, Zhuhai City, Guangdong Province, 519000, China.
| | - Xianglan Wang
- Department of Psychiatry, the Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, East Meihua Road, Zhuhai City, Guangdong Province, 519000, China.
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Nogovitsyn N, Ballester P, Lasby M, Dunlop K, Ceniti AK, Squires S, Rowe J, Ho K, Suh J, Hassel S, Souza R, Casseb RF, Harris JK, Zamyadi M, Arnott SR, Strother SC, Hall G, Lam RW, Poppenk J, Lebel C, Bray S, Metzak P, MacIntosh BJ, Goldstein BI, Wang J, Rizvi SJ, MacQueen G, Addington J, Harkness KL, Rotzinger S, Kennedy SH, Frey BN. An empirical analysis of structural neuroimaging profiles in a staging model of depression. J Affect Disord 2024; 351:631-640. [PMID: 38290583 DOI: 10.1016/j.jad.2024.01.246] [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: 10/12/2023] [Revised: 01/16/2024] [Accepted: 01/26/2024] [Indexed: 02/01/2024]
Abstract
We examine structural brain characteristics across three diagnostic categories: at risk for serious mental illness; first-presenting episode and recurrent major depressive disorder (MDD). We investigate whether the three diagnostic groups display a stepwise pattern of brain changes in the cortico-limbic regions. Integrated clinical and neuroimaging data from three large Canadian studies were pooled (total n = 622 participants, aged 12-66 years). Four clinical profiles were used in the classification of a clinical staging model: healthy comparison individuals with no history of depression (HC, n = 240), individuals at high risk for serious mental illness due to the presence of subclinical symptoms (SC, n = 80), first-episode depression (FD, n = 82), and participants with recurrent MDD in a current major depressive episode (RD, n = 220). Whole-brain volumetric measurements were extracted with FreeSurfer 7.1 and examined using three different types of analyses. Hippocampal volume decrease and cortico-limbic thinning were the most informative features for the RD vs HC comparisons. FD vs HC revealed that FD participants were characterized by a focal decrease in cortical thickness and global enlargement in amygdala volumes. Greater total amygdala volumes were significantly associated with earlier onset of illness in the FD but not the RD group. We did not confirm the construct validity of a tested clinical staging model, as a differential pattern of brain alterations was identified across the three diagnostic groups that did not parallel a stepwise clinical staging approach. The pathological processes during early stages of the illness may fundamentally differ from those that occur at later stages with clinical progression.
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Affiliation(s)
- Nikita Nogovitsyn
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
| | - Pedro Ballester
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Mike Lasby
- Electrical and Software Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Katharine Dunlop
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Amanda K Ceniti
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Arthur Sommer Rotenberg Suicide & Depression Studies Program, St. Michael's Hospital, Toronto, ON, Canada
| | - Scott Squires
- Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Jessie Rowe
- Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Keith Ho
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada
| | - JeeSu Suh
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Stefanie Hassel
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Roberto Souza
- Electrical and Software Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Raphael F Casseb
- Neuroimaging Laboratory, University of Campinas, Campinas, SP, Brazil
| | | | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest, Toronto, ON, Canada
| | | | - Stephen C Strother
- Rotman Research Institute, Baycrest, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, ON, Canada
| | - Geoffrey Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Jordan Poppenk
- Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Catherine Lebel
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Child & Adolescent Imaging Research (CAIR) Program, Calgary, AB, Canada
| | - Signe Bray
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Child & Adolescent Imaging Research (CAIR) Program, Calgary, AB, Canada
| | - Paul Metzak
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Bradley J MacIntosh
- Rotman Research Institute, Baycrest, Toronto, ON, Canada; Hurvitz Brain Sciences Program, Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada; Computational Radiology & Artificial Intelligence (CRAI) Unit, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry and Pharmacology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - JianLi Wang
- Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Sakina J Rizvi
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Arthur Sommer Rotenberg Suicide & Depression Studies Program, St. Michael's Hospital, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Glenda MacQueen
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Kate L Harkness
- Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Susan Rotzinger
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Arthur Sommer Rotenberg Suicide & Depression Studies Program, St. Michael's Hospital, Toronto, ON, Canada; Krembil Research Centre, University Health Network, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Sidney H Kennedy
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Arthur Sommer Rotenberg Suicide & Depression Studies Program, St. Michael's Hospital, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Krembil Research Centre, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
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Chen J, Wei Y, Xue K, Han S, Li W, Zhou B, Cheng J. Abnormal effective connectivity of reward network in first-episode schizophrenia with auditory verbal hallucinations. J Psychiatr Res 2024; 171:207-214. [PMID: 38309210 DOI: 10.1016/j.jpsychires.2024.01.023] [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: 07/06/2023] [Revised: 12/02/2023] [Accepted: 01/15/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVE Auditory verbal hallucinations (AVHs) in schizophrenia is proved to be associated with dysfunction of mesolimbic-cortical circuits, especially during abnormal salient and internal verbal resource monitoring processing procedures. However, the information flow among areas involved in coordinated interaction implicated the pathophysiology of AVHs remains unclear. METHODS We used spectral dynamic causal modeling (DCM) to quantify connections among eight critical hubs of reward network in 86 first-episode drug-naïve schizophrenia patients with AVHs (AVH), 93 patients without AVHs (NAVH), and 88 matched normal controls (NC) using resting-state functional magnetic resonance imaging. Group-level connection coefficients, between-group differences and correlation analysis between image measures and symptoms were performed. RESULT DCM revealed weaker effective connectivity (EC) from right ventral striatum (RVS) to ventral tegmental area (VTA) in AVH compared to NAVH. AVH showed stronger EC from left anterior insula (AI) to RVS, stronger EC from RVS to anterior cingulate cortex (ACC), and stronger EC from VTA to posterior cingulate cortex (PCC) compared to NC. The correlation analysis results were mostly visible in the negative correlation between EC from right AI to ACC and positive sub-score, P1 sub-score, and P3 sub-score of PNASS in group-level. CONCLUSION These findings suggest that neural causal interactions between the reward network associated with AVHs are disrupted, expanding the evidence for potential neurobiological mechanisms of AVHs. Particularly, dopamine-dependent salience attribution and top-down monitoring impairments and compensatory effects of enhanced excitatory afferents to ACC, which may provide evidence for a therapeutic target based on direct in vivo of AVHs in schizophrenia.
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Affiliation(s)
- Jingli Chen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, 450052, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, 450052, China
| | - Kangkang Xue
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, 450052, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, 450052, China
| | - Wenbin Li
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, 450052, China
| | - Bingqian Zhou
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, 450052, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, 450052, China.
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Dugré JR, Potvin S. Functional Connectivity of the Nucleus Accumbens across Variants of Callous-Unemotional Traits: A Resting-State fMRI Study in Children and Adolescents. Res Child Adolesc Psychopathol 2024; 52:353-368. [PMID: 37878131 PMCID: PMC10896801 DOI: 10.1007/s10802-023-01143-z] [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] [Accepted: 10/13/2023] [Indexed: 10/26/2023]
Abstract
A large body of literature suggests that the primary (high callousness-unemotional traits [CU] and low anxiety) and secondary (high CU traits and anxiety) variants of psychopathy significantly differ in terms of their clinical profiles. However, little is known about their neurobiological differences. While few studies showed that variants differ in brain activity during fear processing, it remains unknown whether they also show atypical functioning in motivational and reward system. Latent Profile Analysis (LPA) was conducted on a large sample of adolescents (n = 1416) to identify variants based on their levels of callousness and anxiety. Seed-to-voxel connectivity analysis was subsequently performed on resting-state fMRI data to compare connectivity patterns of the nucleus accumbens across subgroups. LPA failed to identify the primary variant when using total score of CU traits. Using a family-wise cluster correction, groups did not differ on functional connectivity. However, at an uncorrected threshold the secondary variant showed distinct functional connectivity between the nucleus accumbens and posterior insula, lateral orbitofrontal cortex, supplementary motor area, and parietal regions. Secondary LPA analysis using only the callousness subscale successfully distinguish both variants. Group differences replicated results of deficits in functional connectivity between the nucleus accumbens and posterior insula and supplementary motor area, but additionally showed effect in the superior temporal gyrus which was specific to the primary variant. The current study supports the importance of examining the neurobiological markers across subgroups of adolescents at risk for conduct problems to precise our understanding of this heterogeneous population.
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Affiliation(s)
- Jules Roger Dugré
- School of Psychology and Centre for Human Brain Health, University of Birmingham, Birmingham, B15 2TT, England.
| | - Stéphane Potvin
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, Hochelaga, Montreal, 7331, H1N 3V2, Canada.
- Department of Psychiatry and Addictology, Faculty of medicine, University of Montreal, Montreal, Canada.
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Qiu H, Cao J, Wang R, Li X, Kuang L, Ouyang Z. Functional Abnormality of the Reward System in Depressed Adolescents and Young Adults with and without Suicidal Behavior. Brain Topogr 2024:10.1007/s10548-024-01036-4. [PMID: 38319504 DOI: 10.1007/s10548-024-01036-4] [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: 05/14/2023] [Accepted: 01/16/2024] [Indexed: 02/07/2024]
Abstract
OBJECTIVE To identify local and functional connectivity abnormalities in the brain's reward network in depressed adolescents and young adults with and without suicidal behavior. METHODS Magnetic resonance imaging data were obtained from 41 major depressive disorder (MDD) patients with suicidal behavior (sMDD, males/females: 12/29), 44 MDD patients without suicidal behavior (nMDD, males/females: 13/32), and 52 healthy controls (HCs, males/females: 17/35). The Young Mania Scale, Hamilton Depression Scale, Columbia Suicide Scale, and Scale for Suicide Ideation were used to evaluate emotional state and suicidal ideation and behaviors. The amplitude of low frequency fluctuations (ALFF), regional homogeneity (ReHo) and functional connectivity of 11 regions of interest (ROIs) in the reward network were determined. RESULTS ALFF values in the vmPFC of the nMDD group were significantly lower than those in the HC group (p = 0.031). The ReHo values of the nMDD group were lower in the lVS but higher in the vmPFC than those of the HC group (P = 0.018 and 0.025, respectively). Functional connectivity of the AC with the vmPFC, lVS, rVS, and vmPFC was increased in the sMDD group compared with that in the nMDD group (P = 0.038, 0.034, 0.006, respectively). CONCLUSION Local and functional connectivity abnormalities in the reward network were found in the MDD groups. However, increased functional connectivity was found in only the sMDD group.
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Affiliation(s)
- Haitang Qiu
- Department of Mental Health, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jun Cao
- Department of Mental Health, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Rui Wang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xinke Li
- College of Medical Informatics, Chongqing Medical University, Chongqing, China
| | - Li Kuang
- Department of Mental Health, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Zhubin Ouyang
- Department of Mental Health, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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8
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Ma Y, Guo C, Luo Y, Gao S, Sun J, Chen Q, Lv X, Cao J, Lei Z, Fang J. Altered neural activity in the reward-related circuit associated with anhedonia in mild to moderate Major Depressive Disorder. J Affect Disord 2024; 345:216-225. [PMID: 37866737 DOI: 10.1016/j.jad.2023.10.085] [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: 05/29/2023] [Revised: 10/02/2023] [Accepted: 10/10/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND Anhedonia is a significant predictor of disease progression and treatment outcomes in Major Depressive Disorder (MDD), linked to reward network dysfunctions. However, understanding of its underlying neural mechanisms remains limited. This study aimed to investigate the brain functional mechanisms underlying MDD with anhedonia using resting-state functional magnetic resonance imaging (rs-fMRI). METHODS The Snaith-Hamilton Pleasure Scale (SHAPS) was used to evaluation MDD with anhedonia (anMDD) and non-anhedonia MDD (non-anMDD). Forty-eight patients with anMDD, Forty-four patients with non-anMDD, and Fifty healthy controls (HCs) were enrolled for the fMRI scans. A seed-based functional connectivity (FC) method was employed to explore reward network abnormalities. RESULTS anMDD patients exhibited lower FC values in Ventral Striatum (VS), right lateral Ventral Tegmental Area (VTA_R), left Thalamus (THA_L), and higher FC values in Ventromedial Prefrontal Cortex (vmPFC), left Anterior Insula (AI_L), and Presupplementary Motor Area (Pre-SMA) compared to HCs. Comparing anMDD to non-anMDD, significant differences were observed in FC values of VS, vmPFC, Pre-SMA, and THA_L regions. Correlation analysis revealed positive correlations between FC values of VS_R and NAc_R, as well as THA_L and Cerebellum_Crus1_L, with SHAPS scores. Negative correlations were observed between FC values of Pre-SMA and the right caudate, and between vmPFC and Frontal_Mid_Orb_L, and SHAPS scores. CONCLUSION Both anMDD and non-anMDD groups demonstrated abnormal FCs in the reward network. These findings indicate distinct roles of reward-related circuits in the two subtypes, contributing to a refined understanding of depression phenotypes and potential directions for targeted interventions.
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Affiliation(s)
- Yue Ma
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China; Graduate School of China Academy of Chinese Medical Sciences, Beijing, China
| | - Chunlei Guo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China; Graduate School of China Academy of Chinese Medical Sciences, Beijing, China
| | - Yi Luo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China; Graduate School of China Academy of Chinese Medical Sciences, Beijing, China
| | - Shanshan Gao
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jifei Sun
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China; Graduate School of China Academy of Chinese Medical Sciences, Beijing, China
| | - Qingyan Chen
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China; Graduate School of China Academy of Chinese Medical Sciences, Beijing, China
| | - Xueyu Lv
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jiudong Cao
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhang Lei
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jiliang Fang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
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9
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Wu J, Song J, He Y, Li Z, Deng H, Huang Z, Xie X, Wong NML, Tao J, Lee TMC, Chan CCH. Effect of Tai Chi on Young Adults with Subthreshold Depression via a Stress-Reward Complex: A Randomized Controlled Trial. SPORTS MEDICINE - OPEN 2023; 9:90. [PMID: 37768381 PMCID: PMC10539242 DOI: 10.1186/s40798-023-00637-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/17/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Subthreshold depression is a highly prevalent mood disorder in young adults. Mind-body exercises, such as Tai Chi, have been adopted as interventions for clinical depressive symptoms. However, the possible effect and underlying mechanism of Tai Chi on subthreshold depression of young individuals remain unclear. This randomized controlled study aimed to evaluate the effects of Tai Chi training and tested the combined stress and reward circuitry model for subthreshold depression. RESULTS A total of 103 participants completed this trial, with 49 in the 12-week 24-style Tai Chi group and 54 participants in control group. Our results showed significantly lower scores on depressive symptoms (P = 0.002) and anxiety symptoms (P = 0.009) and higher scores on quality of life (P = 0.002) after Tai Chi training. There were significant reductions in salivary cortisol levels (P = 0.007) and putamen gray matter volume (P < 0.001) in the Tai Chi group. The changes in cortisol levels and putamen gray matter volume had direct (bootstrapping confidence interval [- 0.91, - 0.11]) and indirect effects (bootstrapping confidence interval [- 0.65, - 0.19]) on the changes induced by Tai Chi training on depressive symptoms, respectively. CONCLUSION The stress-reward complex results indicated an interaction between lowering stress levels and increasing reward circuitry activity associated with the alleviation of depressive symptoms among participants. The 12-week Tai Chi training was effective in improving the symptoms and quality of life of young adults with subthreshold depression. Trial Registration Chinese Registry of Clinical Trials (Registration Number: ChiCTR1900028289, Registered December 12, 2019).
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Affiliation(s)
- Jingsong Wu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
- The Academy of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Jian Song
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
- The Academy of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Youze He
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
- The Academy of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Zhaoying Li
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Haiyin Deng
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Zhenming Huang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Xiaoting Xie
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Nichol M L Wong
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Rm 656, The Jockey Club Tower, Pokfulam Road, Pokfulam, Hong Kong, People's Republic of China
- Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Pokfulam, Hong Kong, People's Republic of China
| | - Jing Tao
- National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China.
- Fujian Key Laboratory of Rehabilitation Technology, Fujian University of Traditional Chinese Medicine, 1 Huatuo Road, Minhou Shangjie, Fuzhou, 350122, Fujian, People's Republic of China.
| | - Tatia M C Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Rm 656, The Jockey Club Tower, Pokfulam Road, Pokfulam, Hong Kong, People's Republic of China.
- Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Pokfulam, Hong Kong, People's Republic of China.
| | - Chetwyn C H Chan
- Department of Psychology, The Education University of Hong Kong, Tai Po, Hong Kong, People's Republic of China.
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10
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Njoroge W, Maina R, Frank E, Atwoli L, Wu Z, Ngugi AK, Sen S, Wang J, Wong S, Baker JA, Weinheimer-Haus EM, Khakali L, Aballa A, Orwa J, K Nyongesa M, Shah J, Waljee AK, Abubakar A, Merali Z. Use of mobile technology to identify behavioral mechanisms linked to mental health outcomes in Kenya: protocol for development and validation of a predictive model. BMC Res Notes 2023; 16:226. [PMID: 37735439 PMCID: PMC10515076 DOI: 10.1186/s13104-023-06498-6] [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: 01/09/2023] [Accepted: 09/04/2023] [Indexed: 09/23/2023] Open
Abstract
OBJECTIVE This study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya. APPROACH The study will deploy a mobile application (app) platform and use novel data science analytic approaches (Artificial Intelligence and Machine Learning) to identifying predictors of mental health disorders among 500 randomly sampled healthcare workers from five healthcare facilities in Nairobi, Kenya. EXPECTATION This study will lay the basis for creating agile and scalable systems for rapid diagnostics that could inform precise interventions for mitigating depression and ensure a healthy, resilient healthcare workforce to develop sustainable economic growth in Kenya, East Africa, and ultimately neighboring countries in sub-Saharan Africa. This protocol paper provides an opportunity to share the planned study implementation methods and approaches. CONCLUSION A mobile technology platform that is scalable and can be used to understand and improve mental health outcomes is of critical importance.
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Affiliation(s)
- Willie Njoroge
- Brain and Mind Institute, Aga Khan University, Nairobi, Kenya
- Department of Psychology, Southwest University, Chongqing, China
| | - Rachel Maina
- Brain and Mind Institute, Aga Khan University, Nairobi, Kenya.
- Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands.
| | - Elena Frank
- Michigan Neuroscience Institute, University of Michigan, Michigan, USA
| | - Lukoye Atwoli
- Brain and Mind Institute, Aga Khan University, Nairobi, Kenya
- Department of Medicine, Medical College East Africa, the Aga Khan University, Nairobi, Kenya
| | - Zhenke Wu
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Anthony K Ngugi
- Department of Population Health, Aga Khan University, Nairobi, Kenya
| | - Srijan Sen
- Brain and Mind Institute, Aga Khan University, Nairobi, Kenya
| | - JianLi Wang
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Canada
| | - Stephen Wong
- Computing and Data Innovation Office, Aga Khan University, Nairobi, Kenya
| | - Jessica A Baker
- Center for Global Health Equity, University of Michigan, Ann Arbor, MI, USA
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Eileen M Weinheimer-Haus
- Center for Global Health Equity, University of Michigan, Ann Arbor, MI, USA
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Linda Khakali
- Brain and Mind Institute, Aga Khan University, Nairobi, Kenya
- Department of Sociology, University of Nairobi, Nairobi, Kenya
| | - Andrew Aballa
- Brain and Mind Institute, Aga Khan University, Nairobi, Kenya
| | - James Orwa
- Department of Population Health, Aga Khan University, Nairobi, Kenya
| | - Moses K Nyongesa
- Institute for Human Development, Aga Khan University, Nairobi, Kenya
| | - Jasmit Shah
- Brain and Mind Institute, Aga Khan University, Nairobi, Kenya
| | - Akbar K Waljee
- Center for Global Health Equity, University of Michigan, Ann Arbor, MI, USA
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Amina Abubakar
- Institute for Human Development, Aga Khan University, Nairobi, Kenya
- Neurosciences Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Zul Merali
- Brain and Mind Institute, Aga Khan University, Nairobi, Kenya
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11
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Fan J, Xia J, Liu Q, Wang X, Du H, Gao F, Han Y, Yu Q, Lu J, Xiao C, Tan C, Zhu X. Neural substrates for dissociation of cognition inhibition in autogenous- and reactive-type obsessive-compulsive disorder. J Psychiatr Res 2023; 165:150-157. [PMID: 37499486 DOI: 10.1016/j.jpsychires.2023.07.031] [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: 05/10/2023] [Revised: 07/13/2023] [Accepted: 07/20/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND The taxonomy of autogenous- and reactive-type obsessive-compulsive disorder (OCD) (AO vs. RO) is one of the most valid subtyping approaches to the heterogeneity of OCD. The present study aimed to seek evidence of neural substrates supporting the dissociation of cognition inhibition in AO and RO which was revealed by our previous behavioral and electrophysiological work. METHODS A total of 165 patients with OCD (86 AO versus 79 RO), and 79 healthy controls (HC) underwent resting-state functional magnetic resonance imaging scans. Within-network connectivity, node strength, and edge-wise functional connectivity (FC) in cognition and response inhibition networks were calculated. Results from 3 cognition and 2 response inhibition network atlases were compared to confirm the robustness of the findings. RESULTS Both AO and RO showed lower within-network connectivity in response inhibition networks, while lower within cognition inhibition network connectivity was only detected in AO. Besides shared weaker node strength in the anterior insula (AI), anterior cingulate cortex (ACC), and supplementary motor area (SMA), AO had a broader range of nodes within cognition inhibition networks exhibiting weaker strength, including nodes in right inferior frontal gyrus (IFG), left parietal and occipital regions. Decreased FC of left AI-CC, left IFG-ACC, and frontal-parietal regions in cognition inhibition networks were found in AO. CONCLUSIONS Findings indicate that unlike deficits in connectivity within response inhibition networks which may reflect a common pathology in AO and RO, deficits in connectivity within cognition inhibition networks were more pronounced in AO. These findings strengthen our insight into the heterogeneity in OCD.
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Affiliation(s)
- Jie Fan
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan, 410011, China; National Clinical Research Center for Mental Disorders, Changsha, 410011, Hunan, China; National Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Jie Xia
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Qian Liu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Xiang Wang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Hongyu Du
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Feng Gao
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Yan Han
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Quanhao Yu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Jingjie Lu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Chuman Xiao
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Changlian Tan
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Xiongzhao Zhu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan, 410011, China; National Clinical Research Center for Mental Disorders, Changsha, 410011, Hunan, China; National Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
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12
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Boyle CC, Bower JE, Eisenberger NI, Irwin MR. Stress to inflammation and anhedonia: Mechanistic insights from preclinical and clinical models. Neurosci Biobehav Rev 2023; 152:105307. [PMID: 37419230 DOI: 10.1016/j.neubiorev.2023.105307] [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] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 06/30/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
Anhedonia, as evidenced by impaired pleasurable response to reward, reduced reward motivation, and/or deficits in reward-related learning, is a common feature of depression. Such deficits in reward processing are also an important clinical target as a risk factor for depression onset. Unfortunately, reward-related deficits remain difficult to treat. To address this gap and inform the development of effective prevention and treatment strategies, it is critical to understand the mechanisms that drive impairments in reward function. Stress-induced inflammation is a plausible mechanism of reward deficits. The purpose of this paper is to review evidence for two components of this psychobiological pathway: 1) the effects of stress on reward function; and 2) the effects of inflammation on reward function. Within these two areas, we draw upon preclinical and clinical models, distinguish between acute and chronic effects of stress and inflammation, and address specific domains of reward dysregulation. By addressing these contextual factors, the review reveals a nuanced literature which might be targeted for additional scientific inquiry to inform the development of precise interventions.
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Affiliation(s)
- Chloe C Boyle
- Norman Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA, USA.
| | - Julienne E Bower
- Norman Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA, USA; Department of Psychology, UCLA, Los Angeles, CA, USA
| | | | - Michael R Irwin
- Norman Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA, USA
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13
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Jiang Y, Zhang T, Zhang M, Xie X, Tian Y, Wang K, Bai T. Apathy in melancholic depression and abnormal neural activity within the reward-related circuit. Behav Brain Res 2023; 444:114379. [PMID: 36870397 DOI: 10.1016/j.bbr.2023.114379] [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: 10/19/2022] [Revised: 02/27/2023] [Accepted: 03/01/2023] [Indexed: 03/06/2023]
Abstract
Major depressive disorder is a heterogeneous syndrome, of which the most common subtype is melancholic depression (MEL). Previous studies have indicated that anhedonia is frequently a cardinal feature in MEL. As a common syndrome of motivational deficit, anhedonia is closely associated with dysfunction in reward-related networks. However, little is currently known about apathy, another syndrome of motivational deficits, and the underlying neural mechanisms in MEL and non-melancholic depression (NMEL). Herein, the Apathy Evaluation Scale (AES) was used to compare apathy between MEL and NMEL. On the basis of resting-state functional magnetic resonance imaging, functional connectivity strength (FCS) and seed-based functional connectivity (FC) were calculated within reward-related networks and compared among 43 patients with MEL, 30 patients with NMEL, and 35 healthy controls. Patients with MEL had higher AES scores than those with NMEL (t = -2.20, P = 0.03). Relative to NMEL, MEL was associated with greater FCS (t = 4.27, P < 0.001) in the left ventral striatum (VS), and greater FC of the VS with the ventral medial prefrontal cortex (t = 5.03, P < 0.001) and dorsolateral prefrontal cortex (t = 3.18, P = 0.005). Taken together the results indicate that reward-related networks may play diverse pathophysiological roles in MEL and NMEL, thus providing potential directions for future interventions in the treatment of various depression subtypes.
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Affiliation(s)
- Yu Jiang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Ting Zhang
- Department of Psychiatry, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Mengdan Zhang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Xiaohui Xie
- Department of Neurology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Yanghua Tian
- Department of Neurology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China
| | - Kai Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China.
| | - Tongjian Bai
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China.
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14
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Yoon L, Rohrsetzer F, Battel L, Anés M, Manfro PH, Rohde LA, Viduani A, Zajkowska Z, Mondelli V, Kieling C, Swartz JR. Frontolimbic Network Topology Associated With Risk and Presence of Depression in Adolescents: A Study Using a Composite Risk Score in Brazil. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:426-435. [PMID: 35358744 DOI: 10.1016/j.bpsc.2022.03.008] [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: 11/02/2021] [Revised: 03/09/2022] [Accepted: 03/20/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND There have been significant challenges in understanding functional brain connectivity associated with adolescent depression, including the need for a more comprehensive approach to defining risk, the lack of representation of participants from low- and middle-income countries, and the need for network-based approaches to model connectivity. The current study aimed to address these challenges by examining resting-state functional connectivity of frontolimbic circuitry associated with the risk and presence of depression in adolescents in Brazil. METHODS Adolescents in Brazil ages 14 to 16 years were classified into low-risk, high-risk, and depressed groups using a clinical assessment and composite risk score that integrates 11 sociodemographic risk variables. After excluding participants with excessive head movement, resting-state functional magnetic resonance imaging data of 126 adolescents were analyzed. We compared group differences in frontolimbic network connectivity using region of interest-to-region of interest, graph theory, and seed-based connectivity analyses. Associations between self-reported depressive symptoms and brain connectivity were also explored. RESULTS Adolescents with depression showed greater dorsal anterior cingulate cortex (ACC) connectivity with the orbitofrontal cortex compared with the 2 risk groups and greater dorsal ACC global efficiency than the low-risk group. Adolescents with depression also showed reduced local efficiency and a lower clustering coefficient of the subgenual ACC compared with the 2 risk groups. The high-risk group also showed a lower subgenual ACC clustering coefficient relative to the low-risk group. CONCLUSIONS These findings highlight altered connectivity and topology of the ACC within frontolimbic circuitry as potential neural correlates and risk factors of developing depression in adolescents in Brazil. This study broadens our understanding of the neural connectivity associated with adolescent depression in a global context.
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Affiliation(s)
- Leehyun Yoon
- Department of Human Ecology, University of California, Davis, Davis, California
| | - Fernanda Rohrsetzer
- Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Lucas Battel
- Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York
| | - Mauricio Anés
- Division of Medical Physics and Radioprotection, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Pedro H Manfro
- Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Luis A Rohde
- Institute of Developmental Psychiatry for Children and Adolescents, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; ADHD Outpatient and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Anna Viduani
- Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Zuzanna Zajkowska
- Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, King's College London, London, United Kingdom
| | - Valeria Mondelli
- Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, King's College London, London, United Kingdom; National Institute for Health Research Maudsley Biomedical Research Centre, South London and Maudsley National Health Service Foundation Trust, King's College London, London, United Kingdom
| | - Christian Kieling
- Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Johnna R Swartz
- Department of Human Ecology, University of California, Davis, Davis, California.
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15
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Roza TH, Rabelo-da-Ponte FD, Spritzer DT, Hoffmann MS, Massuda R, Salum GA, Miguel EC, Rohde LA, Pan PM, Kessler FHP, Gadelha A, Passos IC. Depression in mothers at childhood: Direct and indirect association with problematic gaming in late adolescence/young adulthood. J Psychiatr Res 2023; 159:14-21. [PMID: 36652752 DOI: 10.1016/j.jpsychires.2023.01.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 12/06/2022] [Accepted: 01/10/2023] [Indexed: 01/12/2023]
Abstract
OBJECTIVES Little is known about the relationship between depression in mothers and problematic gaming in their children. Therefore, we aimed to investigate the potential role of mothers' depression in childhood as a risk factor for problematic gaming in their offspring in late adolescence/young adulthood. METHODS We assessed data from 1557 participants on three waves (T0 collected in 2010/2011, T1 in 2013/2014, and T2 in 2018/2019) of a large Brazilian school-based cohort. Mother's depression at T0 was tested as a predictor of problematic gaming at T2 in a logistic regression model. In mediation analyses, we individually assessed internalizing or externalizing disorders at T1 as mediators in this association, with participants' sex being tested as a moderator in both models. Inverse probability weights were used to account for sample attrition at T2. All models were adjusted for maternal and participant-related covariates. RESULTS Mother's depression at T0 was significantly associated with problematic gaming at T2 (OR = 2.09, p < 0.001) even after adjusting for multiple confounding factors. The presence of any internalizing disorder at T1 was a partial mediator of this relationship, accounting for 8.18% (p = 0.032) of the total effect, while the presence of any externalizing disorder at T1 was not a significant mediator. Participants' sex was not a significant moderator in mediation models. CONCLUSIONS These findings suggest mother's depression in childhood as a risk factor for problematic gaming in later developmental stages, which may be partially mediated by internalizing psychopathology.
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Affiliation(s)
- Thiago Henrique Roza
- Laboratory of Molecular Psychiatry, Centro de Pesquisa Experimental (CPE) and Centro de Pesquisa Clínica (CPC), Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil; Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
| | - Francisco Diego Rabelo-da-Ponte
- Laboratory of Molecular Psychiatry, Centro de Pesquisa Experimental (CPE) and Centro de Pesquisa Clínica (CPC), Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil; Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
| | - Daniel Tornaim Spritzer
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
| | - Maurício Scopel Hoffmann
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Department of Neuropsychiatry, Universidade Federal de Santa Maria (UFSM), Santa Maria, RS, Brazil; Care Policy and Evaluation Centre, London School of Economics and Political Science, London, United Kingdom; Instituto Nacional de Psiquiatria do Desenvolvimento (INPD), São Paulo, SP, Brazil.
| | - Raffael Massuda
- Department of Psychiatry, Universidade Federal do Paraná (UFPR), Curitiba, PR, Brazil.
| | - Giovanni Abrahão Salum
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Instituto Nacional de Psiquiatria do Desenvolvimento (INPD), São Paulo, SP, Brazil.
| | - Euripedes Constantino Miguel
- Instituto Nacional de Psiquiatria do Desenvolvimento (INPD), São Paulo, SP, Brazil; Department of Psychiatry, School of Medicine, Universidade de São Paulo (USP), São Paulo, SP, Brazil.
| | - Luis Augusto Rohde
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Instituto Nacional de Psiquiatria do Desenvolvimento (INPD), São Paulo, SP, Brazil; ADHD Outpatient Program & Developmental Psychiatry Program, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.
| | - Pedro Mario Pan
- Instituto Nacional de Psiquiatria do Desenvolvimento (INPD), São Paulo, SP, Brazil; Department of Psychiatry, Escola Paulista de Medicina, Universidade Federal de São Paulo (Unifesp), São Paulo, SP, Brazil.
| | - Felix Henrique Paim Kessler
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
| | - Ary Gadelha
- Instituto Nacional de Psiquiatria do Desenvolvimento (INPD), São Paulo, SP, Brazil; Department of Psychiatry, Escola Paulista de Medicina, Universidade Federal de São Paulo (Unifesp), São Paulo, SP, Brazil; Programa de Esquizofrenia (PROESQ), Department of Psychiatry, Escola Paulista de Medicina, Universidade Federal de São Paulo (Unifesp), São Paulo, SP, Brazil.
| | - Ives Cavalcante Passos
- Laboratory of Molecular Psychiatry, Centro de Pesquisa Experimental (CPE) and Centro de Pesquisa Clínica (CPC), Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil; Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
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Sato JR, Biazoli CE, Bueno APA, Caye A, Pan PM, Santoro M, Honorato-Mauer J, Salum GA, Hoexter MQ, Bressan RA, Jackowski AP, Miguel EC, Belangero S, Rohde LA. Polygenic risk score for attention-deficit/hyperactivity disorder and brain functional networks segregation in a community-based sample. GENES, BRAIN, AND BEHAVIOR 2023; 22:e12838. [PMID: 36811275 PMCID: PMC10067387 DOI: 10.1111/gbb.12838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/29/2022] [Accepted: 01/20/2023] [Indexed: 02/24/2023]
Abstract
Neuroimaging studies suggest that brain development mechanisms might explain at least some behavioural and cognitive attention-deficit/hyperactivity disorder (ADHD) symptoms. However, the putative mechanisms by which genetic susceptibility factors influence clinical features via alterations of brain development remain largely unknown. Here, we set out to integrate genomics and connectomics tools by investigating the associations between an ADHD polygenic risk score (ADHD-PRS) and functional segregation of large-scale brain networks. With this aim, ADHD symptoms score, genetic and rs-fMRI (resting-state functional magnetic resonance image) data obtained in a longitudinal community-based cohort of 227 children and adolescents were analysed. A follow-up was conducted approximately 3 years after the baseline, with rs-fMRI scanning and ADHD likelihood assessment in both stages. We hypothesised a negative correlation between probable ADHD and the segregation of networks involved in executive functions, and a positive correlation with the default-mode network (DMN). Our findings suggest that ADHD-PRS is correlated with ADHD at baseline, but not at follow-up. Despite not surviving for multiple comparison correction, we found significant correlations between ADHD-PRS and segregation of cingulo-opercular networks and DMN at baseline. ADHD-PRS was negatively correlated with the segregation level of cingulo-opercular networks but positively correlated with the DMN segregation. These directions of associations corroborate the proposed counter-balanced role of attentional networks and DMN in attentional processes. However, the association between ADHD-PRS and brain networks functional segregation was not found at follow-up. Our results provide evidence for specific influences of genetic factors on development of attentional networks and DMN. We found significant correlations between polygenic risk score for ADHD (ADHD-PRS) and segregation of cingulo-opercular networks and default-mode network (DMN) at baseline. ADHD-PRS was negatively correlated with the segregation level of cingulo-opercular networks but positively correlated with the DMN segregation.
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Affiliation(s)
- João Ricardo Sato
- Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil.,Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.,Department of Radiology, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.,Big Data, Hospital Israelita Albert Einstein, Sao Paulo, Brazil
| | - Claudinei Eduardo Biazoli
- Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil.,Department of Experimental and Biological Psychology, Queen Mary University of London, London, UK
| | - Ana Paula Arantes Bueno
- Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil
| | - Arthur Caye
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.,Hospital de Clínicas de Porto Alegre and Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Pedro Mario Pan
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil
| | - Marcos Santoro
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.,Department of Biochemistry, Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil
| | - Jessica Honorato-Mauer
- Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil
| | - Giovanni Abrahão Salum
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.,Hospital de Clínicas de Porto Alegre and Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Marcelo Queiroz Hoexter
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.,Department of Psychiatry, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
| | - Rodrigo Affonseca Bressan
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil
| | - Andrea Parolin Jackowski
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.,Department of Education, ICT and Learning, Østfold University College, Halden, Norway
| | - Euripedes Constantino Miguel
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.,Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil
| | - Sintia Belangero
- Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.,Department of Biochemistry, Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil
| | - Luis Augusto Rohde
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.,Hospital de Clínicas de Porto Alegre and Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.,UniEduK, Jaguariúna, Brazil.,ADHD Outpatient Program & Developmental Psychiatry Program, Hospital de Clinica de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
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17
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Njoroge W, Maina R, Elena F, Atwoli L, Wu Z, Ngugi A, Sen S, Wang J, Wong S, Baker J, Haus E, Khakali L, Aballa A, Orwa J, Nyongesa M, Merali Z, Akbar K, Abubakar A. Use of Mobile Technology to Identify Behavioral Mechanisms Linked to Mental Health Outcomes in Kenya: Protocol for Development and Validation of a Predictive Model. RESEARCH SQUARE 2023:rs.3.rs-2458763. [PMID: 36711522 PMCID: PMC9882671 DOI: 10.21203/rs.3.rs-2458763/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Objective: This study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya. Approach: The study will deploy a mobile app platform and use novel data science analytic approaches (Artificial Intelligence and Machine Learning) to identifying predictors of mental health disorders among 500 randomly sampled healthcare workers from five healthcare facilities in Nairobi, Kenya. Expectation: This study will lay the basis for creating agile and scalable systems for rapid diagnostics that could inform precise interventions for mitigating depression and ensure a healthy, resilient healthcare workforce to develop sustainable economic growth in Kenya, East Africa, and ultimately neighboring countries in sub-Saharan Africa. This protocol paper provides an opportunity to share the planned study implementation methods and approaches. Conclusion : A mobile technology platform that is scalable and can be used to understand and improve mental health outcomes is of critical importance.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Amina Abubakar
- Neurosciences Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme
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18
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Massarwe A, Cohen N. Understanding the benefits of extrinsic emotion regulation in depression. Front Psychol 2023; 14:1120653. [PMID: 37179872 PMCID: PMC10172593 DOI: 10.3389/fpsyg.2023.1120653] [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: 12/10/2022] [Accepted: 03/31/2023] [Indexed: 05/15/2023] Open
Abstract
Depression is a serious psychiatric illness that negatively affects people's feelings, thoughts, and actions. Providing emotion regulation support to others, also termed Extrinsic Emotion Regulation (EER), reduces depressive symptoms such as perseverative thinking and negative mood. In this conceptual review paper, we argue that EER may be especially beneficial for individuals with depression because it enhances the cognitive and affective processes known to be impaired in depression. Behavioral studies have shown that EER recruits processes related to cognitive empathy, intrinsic emotion regulation (IER), and reward, all impaired in depression. Neuroimaging data support these findings by showing that EER recruits brain regions related to these three processes, such as the ventrolateral prefrontal cortex which is associated with IER, the ventral striatum, which is associated with reward-related processes, and medial frontal regions related to cognitive empathy. This conceptual review paper sheds light on the mechanisms underlying the effectiveness of EER for individuals with depression and therefore offers novel avenues for treatment.
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Affiliation(s)
- Atheer Massarwe
- Department of Special Education, Faculty of Education, University of Haifa, Haifa, Israel
- *Correspondence: Atheer Massarwe,
| | - Noga Cohen
- Department of Special Education, Faculty of Education, University of Haifa, Haifa, Israel
- The Edmond J. Safra Brain Research Center for the Study of Learning Disabilities, University of Haifa, Haifa, Israel
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19
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Prolonged Longitudinal Transcutaneous Auricular Vagus Nerve Stimulation Effect on Striatal Functional Connectivity in Patients with Major Depressive Disorder. Brain Sci 2022; 12:brainsci12121730. [PMID: 36552189 PMCID: PMC9776392 DOI: 10.3390/brainsci12121730] [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: 10/21/2022] [Revised: 12/11/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Transcutaneous auricular vagus nerve stimulation (taVNS) is effective for treating major depressive disorder (MDD). We aimed to explore the modulating effect of prolonged longitudinal taVNS on the striatal subregions' functional connectivity (FC) in MDD patients. METHODS Sixteen MDD patients were enrolled and treated with taVNS for 8 weeks. Sixteen healthy control subjects (HCs) were recruited without intervention. The resting-state FC (rsFC) based on striatal subregion seed points and the Hamilton Depression Scale (HAMD) were evaluated in the MDD patients and HCs at baseline and after 8 weeks. A two-way ANCOVA test was performed on each rsFC metric to obtain the (group-by-time) interactions. RESULTS The rsFC values between the left ventral caudate (vCa) and right ventral prefrontal cortex (vPFC), and between the right nucleus accumbens (NAc) and right dorsal medial prefrontal cortex (dmPFC) and ventrolateral prefrontal cortex (vlPFC) are lower in the MDD patients compared to the HCs at baseline, and increase following taVNS; the rsFC values between the left vCa and right, superior occipital gyrus (SOG), and between the left dorsal caudate (dCa) and right cuneus are higher in MDD patients and decrease following taVNS. CONCLUSIONS Prolonged longitudinal taVNS can modulate the striatum rsFC with the prefrontal cortex, occipital cortex, temporal cortex, and intra-striatum, and these changes partly underlie any symptomatic improvements. The results indicate that prolonged longitudinal taVNS may produce beneficial treatment effects by modulating the cortical striatum circuitry in patients with MDD.
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20
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Ho TC, Shah R, Mishra J, May AC, Tapert SF. Multi-level predictors of depression symptoms in the Adolescent Brain Cognitive Development (ABCD) study. J Child Psychol Psychiatry 2022; 63:1523-1533. [PMID: 35307818 PMCID: PMC9489813 DOI: 10.1111/jcpp.13608] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/25/2022] [Indexed: 01/09/2023]
Abstract
BACKGROUND While identifying risk factors for adolescent depression is critical for early prevention and intervention, most studies have sought to understand the role of isolated factors rather than across a broad set of factors. Here, we sought to examine multi-level factors that maximize the prediction of depression symptoms in US children participating in the Adolescent Brain and Cognitive Development (ABCD) study. METHODS A total of 7,995 participants from ABCD (version 3.0 release) provided complete data at baseline and 1-year follow-up data. Depression symptoms were measured with the Child Behavior Checklist. Predictive features included child demographic, environmental, and structural and resting-state fMRI variables, parental depression history and demographic characteristics. We used linear (elastic net regression, EN) and non-linear (gradient-boosted trees, GBT) predictive models to identify which set of features maximized prediction of depression symptoms at baseline and, separately, at 1-year follow-up. RESULTS Both linear and non-linear models achieved comparable results for predicting baseline (EN: MAE = 3.757; R2 = 0.156; GBT: MAE = 3.761; R2 = 0.147) and 1-year follow-up (EN: MAE = 4.255; R2 = 0.103; GBT: MAE = 4.262; R2 = 0.089) depression. Parental history of depression, greater family conflict, and shorter child sleep duration were among the top predictors of concurrent and future child depression symptoms across both models. Although resting-state fMRI features were relatively weaker predictors, functional connectivity of the caudate was consistently the strongest neural feature associated with depression symptoms at both timepoints. CONCLUSIONS Consistent with prior research, parental mental health, family environment, and child sleep quality are important risk factors for youth depression. Functional connectivity of the caudate is a relatively weaker predictor of depression symptoms but may represent a biomarker for depression risk.
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Affiliation(s)
- Tiffany C. Ho
- Department of Psychiatry & Behavioral Sciences; Weill Institute of Neurosciences; University of California, San Francisco, San Francisco, CA
| | - Rutvik Shah
- Department of Psychiatry & Behavioral Sciences; Weill Institute of Neurosciences; University of California, San Francisco, San Francisco, CA
- Department of Psychiatry, University of California, San Diego, San Diego, CA
| | - Jyoti Mishra
- Department of Psychiatry, University of California, San Diego, San Diego, CA
| | - April C. May
- Department of Psychiatry, University of California, San Diego, San Diego, CA
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA
| | - Susan F. Tapert
- Department of Psychiatry, University of California, San Diego, San Diego, CA
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21
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Wang K, He Q, Zhu X, Hu Y, Yao Y, Hommel B, Beste C, Liu J, Yang Y, Zhang W. Smaller putamen volumes are associated with greater problems in external emotional regulation in depressed adolescents with nonsuicidal self-injury. J Psychiatr Res 2022; 155:338-346. [PMID: 36179414 DOI: 10.1016/j.jpsychires.2022.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 08/17/2022] [Accepted: 09/16/2022] [Indexed: 10/31/2022]
Abstract
The functions of nonsuicidal self-injury (NSSI) consist of social and emotional aspects (Social influence, Sensation seeking, Internal and External emotion regulation). Previous studies have indicated that dysfunction in reward-related brain structures especially the striatum might drive this habitual behavior. However, no studies to date have investigated the associations between striatum and different functions for adolescents engaging in NSSI behaviors. Here, we recruited 35 depressed adolescents with recent NSSI behaviors and 36 healthy controls and acquired structural brain images, depressive symptoms, social, academic and family environments assessments, in addition to NSSI functions in patients only. Subcortical volumes and cortical thickness were estimated with FreeSurfer. Mixed linear regressions were performed to examine associations between striatal structures (caudate, putamen, nucleus accumbens, pallidum) and NSSI functions, with age, sex, total intracranial volume, hemisphere and depression severity included as covariates. Effect of environmental factors and potential associations with cortical thickness and other subcortical volumes were also tested. We found that, among the four functions, external emotional regulation represented the main function for NSSI engagement. Increased external emotion regulation was significantly associated with smaller putamen volume. No environmental factors biased the association with putamen. No associations with other cortical or subcortical regions were observed. Our findings suggested that smaller putamen might be a biomarker of NSSI engagement for depressed adolescents when they regulated frustrated or angry emotions. The results have potentially clinical implications in early identification and brain intervention of NSSI in youth.
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Affiliation(s)
- Kangcheng Wang
- School of Psychology, Shandong Normal University, Jinan, 250358, China
| | - Qiang He
- Department of Psychiatry, School of Clinical Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Xingxing Zhu
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Yufei Hu
- School of Psychology, Shandong Normal University, Jinan, 250358, China
| | - Yuan Yao
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Bernhard Hommel
- School of Psychology, Shandong Normal University, Jinan, 250358, China; Cognitive Psychology Unit, & Leiden Institute for Brain & Cognition, Institute of Psychology, Leiden University, Netherlands; Department of Child and Adolescent Psychiatry, TU Dresden, Germany
| | - Christian Beste
- School of Psychology, Shandong Normal University, Jinan, 250358, China; Department of Child and Adolescent Psychiatry, TU Dresden, Germany; University Neuropsychology Center, TU Dresden, Germany
| | - Jintong Liu
- Department of Psychiatry, School of Clinical Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; Childhood Psychiatry Unit, Shandong Mental Health Center, Jinan, 250014, China
| | - Ying Yang
- Department of Psychiatry, School of Clinical Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; Childhood Psychiatry Unit, Shandong Mental Health Center, Jinan, 250014, China.
| | - Wenxin Zhang
- School of Psychology, Shandong Normal University, Jinan, 250358, China.
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22
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Kroemer NB, Opel N, Teckentrup V, Li M, Grotegerd D, Meinert S, Lemke H, Kircher T, Nenadić I, Krug A, Jansen A, Sommer J, Steinsträter O, Small DM, Dannlowski U, Walter M. Functional Connectivity of the Nucleus Accumbens and Changes in Appetite in Patients With Depression. JAMA Psychiatry 2022; 79:993-1003. [PMID: 36001327 PMCID: PMC9403857 DOI: 10.1001/jamapsychiatry.2022.2464] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/14/2022] [Indexed: 11/14/2022]
Abstract
Importance Major depressive disorder (MDD) is characterized by a substantial burden on health, including changes in appetite and body weight. Heterogeneity of depressive symptoms has hampered the identification of biomarkers that robustly generalize to most patients, thus calling for symptom-based mapping. Objective To define the functional architecture of the reward circuit subserving increases vs decreases in appetite and body weight in patients with MDD by specifying their contributions and influence on disease biomarkers using resting-state functional connectivity (FC). Design, Setting, and Participants In this case-control study, functional magnetic resonance imaging (fMRI) data were taken from the Marburg-Münster FOR 2107 Affective Disorder Cohort Study (MACS), collected between September 2014 and November 2016. Cross-sectional data of patients with MDD (n = 407) and healthy control participants (n = 400) were analyzed from March 2018 to June 2022. Main Outcomes and Measures Changes in appetite during the depressive episode and their association with FC were examined using fMRI. By taking the nucleus accumbens (NAcc) as seed of the reward circuit, associations with opposing changes in appetite were mapped, and a sparse symptom-specific elastic-net model was built with 10-fold cross-validation. Results Among 407 patients with MDD, 249 (61.2%) were women, and the mean (SD) age was 36.79 (13.4) years. Reduced NAcc-based FC to the ventromedial prefrontal cortex (vmPFC) and the hippocampus was associated with reduced appetite (vmPFC: bootstrap r = 0.13; 95% CI, 0.02-0.23; hippocampus: bootstrap r = 0.15; 95% CI, 0.05-0.26). In contrast, reduced NAcc-based FC to the insular ingestive cortex was associated with increased appetite (bootstrap r = -0.14; 95% CI, -0.24 to -0.04). Critically, the cross-validated elastic-net model reflected changes in appetite based on NAcc FC and explained variance increased with increasing symptom severity (all patients: bootstrap r = 0.24; 95% CI, 0.16-0.31; patients with Beck Depression Inventory score of 28 or greater: bootstrap r = 0.42; 95% CI, 0.25-0.58). In contrast, NAcc FC did not classify diagnosis (MDD vs healthy control). Conclusions and Relevance In this study, NAcc-based FC reflected important individual differences in appetite and body weight in patients with depression that can be leveraged for personalized prediction. However, classification of diagnosis using NAcc-based FC did not exceed chance levels. Such symptom-specific associations emphasize the need to map biomarkers onto more confined facets of psychopathology to improve the classification and treatment of MDD.
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Affiliation(s)
- Nils B. Kroemer
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Vanessa Teckentrup
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
- Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Meng Li
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
- Department of Psychiatry and Psychotherapy, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Jens Sommer
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Olaf Steinsträter
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Dana M. Small
- Departments of Psychiatry and Psychology, Yale University, New Haven, Connecticut
- Modern Diet and Physiology Research Center, Yale University, New Haven, Connecticut
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
- Department of Psychiatry and Psychotherapy, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
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23
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Zhang M, Gao X, Yang Z, Han S, Zhou B, Niu X, Wang W, Wei Y, Cheng J, Zhang Y. Abnormal resting‐state effective connectivity in reward network among long‐term male smokers. Addict Biol 2022; 27:e13221. [DOI: 10.1111/adb.13221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 07/15/2022] [Accepted: 07/21/2022] [Indexed: 11/29/2022]
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24
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Orth L, Meeh J, Gur RC, Neuner I, Sarkheil P. Frontostriatal circuitry as a target for fMRI-based neurofeedback interventions: A systematic review. Front Hum Neurosci 2022; 16:933718. [PMID: 36092647 PMCID: PMC9449529 DOI: 10.3389/fnhum.2022.933718] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 08/08/2022] [Indexed: 11/19/2022] Open
Abstract
Dysregulated frontostriatal circuitries are viewed as a common target for the treatment of aberrant behaviors in various psychiatric and neurological disorders. Accordingly, experimental neurofeedback paradigms have been applied to modify the frontostriatal circuitry. The human frontostriatal circuitry is topographically and functionally organized into the “limbic,” the “associative,” and the “motor” subsystems underlying a variety of affective, cognitive, and motor functions. We conducted a systematic review of the literature regarding functional magnetic resonance imaging-based neurofeedback studies that targeted brain activations within the frontostriatal circuitry. Seventy-nine published studies were included in our survey. We assessed the efficacy of these studies in terms of imaging findings of neurofeedback intervention as well as behavioral and clinical outcomes. Furthermore, we evaluated whether the neurofeedback targets of the studies could be assigned to the identifiable frontostriatal subsystems. The majority of studies that targeted frontostriatal circuitry functions focused on the anterior cingulate cortex, the dorsolateral prefrontal cortex, and the supplementary motor area. Only a few studies (n = 14) targeted the connectivity of the frontostriatal regions. However, post-hoc analyses of connectivity changes were reported in more cases (n = 32). Neurofeedback has been frequently used to modify brain activations within the frontostriatal circuitry. Given the regulatory mechanisms within the closed loop of the frontostriatal circuitry, the connectivity-based neurofeedback paradigms should be primarily considered for modifications of this system. The anatomical and functional organization of the frontostriatal system needs to be considered in decisions pertaining to the neurofeedback targets.
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Affiliation(s)
- Linda Orth
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- *Correspondence: Linda Orth
| | - Johanna Meeh
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany
| | - Ruben C. Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Irene Neuner
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany
| | - Pegah Sarkheil
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany
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25
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Nour MM, Liu Y, Dolan RJ. Functional neuroimaging in psychiatry and the case for failing better. Neuron 2022; 110:2524-2544. [PMID: 35981525 DOI: 10.1016/j.neuron.2022.07.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/06/2022] [Accepted: 07/08/2022] [Indexed: 12/27/2022]
Abstract
Psychiatric disorders encompass complex aberrations of cognition and affect and are among the most debilitating and poorly understood of any medical condition. Current treatments rely primarily on interventions that target brain function (drugs) or learning processes (psychotherapy). A mechanistic understanding of how these interventions mediate their therapeutic effects remains elusive. From the early 1990s, non-invasive functional neuroimaging, coupled with parallel developments in the cognitive neurosciences, seemed to signal a new era of neurobiologically grounded diagnosis and treatment in psychiatry. Yet, despite three decades of intense neuroimaging research, we still lack a neurobiological account for any psychiatric condition. Likewise, functional neuroimaging plays no role in clinical decision making. Here, we offer a critical commentary on this impasse and suggest how the field might fare better and deliver impactful neurobiological insights.
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Affiliation(s)
- Matthew M Nour
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, UK; Wellcome Trust Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK; Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK.
| | - Yunzhe Liu
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, UK; State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Chinese Institute for Brain Research, Beijing 102206, China
| | - Raymond J Dolan
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, UK; Wellcome Trust Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK; State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
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Xiang Q, Chen K, Peng L, Luo J, Jiang J, Chen Y, Lan L, Song H, Zhou X. Prediction of the trajectories of depressive symptoms among children in the adolescent brain cognitive development (ABCD) study using machine learning approach. J Affect Disord 2022; 310:162-171. [PMID: 35545159 DOI: 10.1016/j.jad.2022.05.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 03/02/2022] [Accepted: 05/05/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Depression often first emerges during adolescence and evidence shows that the long-term patterns of depressive symptoms over time are heterogeneous. It is meaningful to predict the trajectory of depressive symptoms in adolescents to find early intervention targets. METHODS Based on the Adolescent Brain Cognitive Development Study, we included 4962 participants aged 9-10 who were followed-up for 2 years. Trajectories of depressive symptoms were identified by Latent Class Growth Analyses (LCGA). Four types of machine learning models were built to predict the identified trajectories and to obtain variables with predictive value based on the best performance model. RESULTS Of all participants, 536 (10.80%) were classified as increasing, 269 (5.42%) as persistently high, 433 (8.73%) as decreasing, and 3724 (75.05%) as persistently low by LCGA. Gradient Boosting Machine (GBM) model got the highest discriminant performance. Sleep quality, parental emotional state and family financial adversities were the most important predictors and three resting state functional magnetic resonance imaging functional connectivity data were also helpful to distinguish trajectories. LIMITATION We only have depressive symptom scores at three time points. Some valuable predictors are not specific to depression. External validation is an important next step. These predictors should not be interpreted as etiology and some variables were reported by parents/caregivers. CONCLUSION Using GBM combined with baseline characteristics, the trajectories of depressive symptoms with two years among adolescents aged 9-10 years can be well predicted, which might further facilitate the identification of adolescents at high risk of depressive symptoms and development of effective early interventions.
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Affiliation(s)
- Qu Xiang
- West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Kai Chen
- School of Public Health, University of Texas Health Center at Houston, Houston, TX, USA
| | - Li Peng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jiawei Luo
- West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Jingwen Jiang
- West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yang Chen
- West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Lan Lan
- West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Huan Song
- West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China; Med-X Center for Informatics, Sichuan University, Chengdu, China.
| | - Xiaobo Zhou
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
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Macêdo MA, Sato JR, Bressan RA, Pan PM. Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies. REVISTA BRASILEIRA DE PSIQUIATRIA (SAO PAULO, BRAZIL : 1999) 2022; 44. [PMID: 35896034 PMCID: PMC9375668 DOI: 10.47626/1516-4446-2021-2032] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 12/02/2021] [Indexed: 11/24/2022]
Abstract
The neurobiological factors associated with the emergence of major depressive disorder (MDD) in adolescence are still unclear. Previous cross-sectional studies have documented aberrant connectivity in resting-state functional magnetic resonance imaging (rs-fMRI) networks. However, whether these findings precede MDD onset has not been established. This scoping review mapped key methodological aspects and main findings of longitudinal rs-fMRI studies of MDD in adolescence. Three sets of neuroimaging methods to analyze rs-fMRI data were identified: seed-based analysis, independent component analysis, and network-based approaches. Main findings involved aberrant connectivity within and between the default mode network (DMN), the cognitive control network (CCN), and the salience network (SN). Accordingly, we utilized Menon's (2011) triple-network model for neuropsychiatric disorders to summarize key results. Adolescent MDD was associated with hyperconnectivity within the SN and between DMN and SN, as well as hypoconectivity within the CCN. These findings suggested that dysfunctional connectivity among the three main large-scale brain networks preceded MDD onset. However, there was high heterogeneity in neuroimaging methods and sampling procedures, which may limit comparisons between studies. Future studies should consider some level of harmonization for clinical instruments and neuroimaging methods.
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Affiliation(s)
- Marcos Antônio Macêdo
- Laboratório Interdisciplinar de Neurociências Clínicas, Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - João Ricardo Sato
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, Santo André, SP, Brazil
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Rodrigo A. Bressan
- Laboratório Interdisciplinar de Neurociências Clínicas, Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento, São Paulo, SP, Brazil
| | - Pedro Mario Pan
- Laboratório Interdisciplinar de Neurociências Clínicas, Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento, São Paulo, SP, Brazil
- Programa Jovens Lideranças Médicas, Academia Nacional de Medicina, Rio de Janeiro, RJ, Brazil
- Departamento de Psiquiatria, UNIFESP, São Paulo, SP, Brazil
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Pizzagalli DA. Toward a Better Understanding of the Mechanisms and Pathophysiology of Anhedonia: Are We Ready for Translation? Am J Psychiatry 2022; 179:458-469. [PMID: 35775159 PMCID: PMC9308971 DOI: 10.1176/appi.ajp.20220423] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Anhedonia-the loss of pleasure or lack of reactivity to pleasurable stimuli-remains a formidable treatment challenge across neuropsychiatric disorders. In major depressive disorder, anhedonia has been linked to poor disease course, worse response to psychological, pharmacological, and neurostimulation treatments, and increased suicide risk. Moreover, although some neural abnormalities linked to anhedonia normalize after successful treatment, several persist-for example, blunted activation of the ventral striatum to reward-related cues and reduced functional connectivity involving the ventral striatum. Critically, some of these abnormalities have also been identified in unaffected, never-depressed children of parents with major depressive disorder and have been found to prospectively predict the first onset of major depression. Thus, neural abnormalities linked to anhedonia may be promising targets for prevention. Despite increased appreciation of the clinical importance of anhedonia and its underlying neural mechanisms, important gaps remain. In this overview, the author first summarizes the extant knowledge about the pathophysiology of anhedonia, which may provide a road map toward novel treatment and prevention strategies, and then highlights several priorities to facilitate clinically meaningful breakthroughs. These include a need for 1) appropriately controlled clinical trials, especially those embracing an experimental therapeutics approach to probe target engagement; 2) novel preclinical models relevant to anhedonia, with stronger translational value; and 3) clinical scales that incorporate neuroscientific advances in our understanding of anhedonia. The author concludes by highlighting important future directions, emphasizing the need for an integrated, collaborative, cross-species, and multilevel approach to tackling anhedonic phenotypes.
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Affiliation(s)
- Diego A. Pizzagalli
- Department of Psychiatry, Harvard Medical School, Boston, and McLean Hospital, Belmont, Mass
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Pan PM, Sato JR, Paillère Martinot ML, Martinot JL, Artiges E, Penttilä J, Grimmer Y, van Noort BM, Becker A, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Garavan H, Ittermann B, Nees F, Papadopoulos Orfanos D, Poustka L, Fröhner JH, Whelan R, Schumann G, Westwater ML, Grillon C, Cogo-Moreira H, Stringaris A, Ernst M. Longitudinal Trajectory of the Link Between Ventral Striatum and Depression in Adolescence. Am J Psychiatry 2022; 179:470-481. [PMID: 35582783 DOI: 10.1176/appi.ajp.20081180] [Citation(s) in RCA: 8] [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] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Research in adolescent depression has found aberrant intrinsic functional connectivity (iFC) among the ventral striatum (VS) and several brain regions implicated in reward processing. The present study probes this question by taking advantage of the availability of data from a large youth cohort, the IMAGEN Consortium. METHODS iFC data from 303 adolescents (48% of them female) were used to examine associations of VS connectivity at baseline (at age 14) with depressive disorders at baseline and at 2-year (N=250) and 4-year (N=219) follow-ups. Eleven regions of interest, key nodes of the reward system, were used to probe the reward network and calculate the connectivity strength of the VS within this network (VS connectivityrw). The main analyses assessed associations of VS connectivityrw with depressive disorders, anhedonia, and low mood using logistic regression. Autoregressive models accounting for carryover effects over time were conducted to further evaluate these brain-behavior associations. RESULTS Higher right VS connectivityrw was associated with higher probability of depressive disorders at baseline (odds ratio=2.65, 95% CI=1.40, 5.05). This finding was confirmed in the autoregressive model, adjusting for carryover effects of the depressive disorders across the three time points. VS connectivityrw was not predictive of depressive disorders at follow-up assessments. Longitudinal associations between VS connectivityrw and anhedonia emerged in the structural equation model: left VS connectivityrw was associated with anhedonia at 2 years (odds ratio=2.20, 95% CI=1.54, 3.14), and right VS connectivityrw was linked to anhedonia at 4 years (odds ratio=1.87, 95% CI=1.09, 3.21). VS connectivityrw did not predict low mood at any time point in the structural equation model. CONCLUSIONS The connectivity strength of the VS within the reward network showed distinct patterns of association with depressive disorders and anhedonia from mid to late adolescence, suggesting that the role of this circuitry in depression changes with age. This study replicates, in an independent sample, the association between the VS and depression previously reported in younger adolescents. The findings suggest a role of VS connectivityrw in anhedonia but not in low mood.
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Affiliation(s)
- Pedro Mario Pan
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - João R Sato
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Marie-Laure Paillère Martinot
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Jean-Luc Martinot
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Eric Artiges
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Jani Penttilä
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Yvonne Grimmer
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Betteke M van Noort
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Andreas Becker
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Tobias Banaschewski
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Arun L W Bokde
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Sylvane Desrivières
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Herta Flor
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Hugh Garavan
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Bernd Ittermann
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Frauke Nees
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Dimitri Papadopoulos Orfanos
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Luise Poustka
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Juliane H Fröhner
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Robert Whelan
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Gunter Schumann
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Margaret L Westwater
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Christian Grillon
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Hugo Cogo-Moreira
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Argyris Stringaris
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
| | - Monique Ernst
- Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil (Pan, Sato); National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil (Pan, Sato); Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda, Md. (Pan, Westwater, Grillon, Ernst); Mathematics and Statistics Institute, Universidade Federal do ABC, Santo André, Brazil (Sato); Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales en psychiatrie," Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay, Université Paris Cité, CNRS, Centre Borelli, Gif-sur-Yvette, France (Paillère Martinot, Martinot, Artiges); AP-HP Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris (Paillère Martinot); Department of Psychiatry, EPS Barthélemy Durand, Etampes, France (Artiges); Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland (Penttilä); Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Grimmer, Banaschewski); MSB Medical School Berlin, Department of Psychology and Psychotherapy, Berlin (van Noort); Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany (Becker); Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin (Bokde); Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, and Neuroscience, SGDP Centre, King's College London (Desrivières, Poustka); 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 (Flor); Departments of Psychiatry and Psychology, University of Vermont, Burlington (Garavan); Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany (Ittermann); Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany (Nees); NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France (Papadopoulos Orfanos); Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany (Fröhner); School of Psychology and Global Brain Health Institute, Trinity College Dublin (Whelan); Center for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, and Charité Mental Health, Berlin (Schumann); Department of Psychiatry, University of Cambridge, Herchel Smith Building, Addenbrooke's Hospital, Cambridge, U.K. (Westwater); Department of Education, ICT, and Learning, Østfold University College, Halden, Norway (Cogo-Moreira); Division of Psychiatry, University College London, and National and Kapodistrian University of Athens, Athens (Stringaris)
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30
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Grange JA. Computational modelling of the speed-accuracy tradeoff: No evidence for an association with depression symptomatology. J Psychiatr Res 2022; 147:111-125. [PMID: 35032944 DOI: 10.1016/j.jpsychires.2021.12.057] [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: 10/04/2021] [Revised: 12/23/2021] [Accepted: 12/30/2021] [Indexed: 11/18/2022]
Abstract
Successful decision making often requires finding the right balance between the speed and accuracy of responding: Emphasising speed can lead to error-prone performance, yet emphasising accuracy leads to a slowing of performance. Such speed-accuracy tradeoffs (SATs) therefore require establishing appropriate response settings to optimise performance in response to changing environmental demands. Such strategic adaptation of response settings relies on the striatum component of the basal ganglia, an area implicated in depression. The current study explored the association between depression symptomatology and SAT performance. Two experiments presented participants with an SAT paradigm embedded within a simple decision-making task, together with measures of depression symptomatology. Experiment 1 (N = 349) was correlational, whereas Experiment 2 was a two-phase experiment where participants (N = 501) were first pre-screened on depression symptomatology and extreme-low and extreme-high responders (total N = 91) were invited to Phase 2. Behavioural data were modelled with a drift diffusion model. Behavioural data and associated diffusion modelling showed large and robust SAT effects. Emphasising accuracy led to an increase in boundary separation, an increase in drift rate, and an increase in non-decision time. However, the magnitude of the changes of these parameters with SAT instructions was not associated with measures of depression symptomatology. The results suggest that the strategic adaptation of response settings in response to environmental changes in speed-accuracy instructions does not appear to be associated with depression symptomatology.
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Affiliation(s)
- James A Grange
- School of Psychology, Dorothy Hodgkin Building, Keele University, Keele, ST5 5BG, United Kingdom.
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31
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Chen G, Chen P, Gong J, Jia Y, Zhong S, Chen F, Wang J, Luo Z, Qi Z, Huang L, Wang Y. Shared and specific patterns of dynamic functional connectivity variability of striato-cortical circuitry in unmedicated bipolar and major depressive disorders. Psychol Med 2022; 52:747-756. [PMID: 32648539 DOI: 10.1017/s0033291720002378] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Accumulating studies have found structural and functional abnormalities of the striatum in bipolar disorder (BD) and major depressive disorder (MDD). However, changes in intrinsic brain functional connectivity dynamics of striato-cortical circuitry have not been investigated in BD and MDD. This study aimed to investigate the shared and specific patterns of dynamic functional connectivity (dFC) variability of striato-cortical circuitry in BD and MDD. METHODS Brain resting-state functional magnetic resonance imaging data were acquired from 128 patients with unmedicated BD II (current episode depressed), 140 patients with unmedicated MDD, and 132 healthy controls (HCs). Six pairs of striatum seed regions were selected: the ventral striatum inferior (VSi) and the ventral striatum superior (VSs), the dorsal-caudal putamen (DCP), the dorsal-rostral putamen (DRP), and the dorsal caudate and the ventral-rostral putamen (VRP). The sliding-window analysis was used to evaluate dFC for each seed. RESULTS Both BD II and MDD exhibited increased dFC variability between the left DRP and the left supplementary motor area, and between the right VRP and the right inferior parietal lobule. The BD II had specific increased dFC variability between the right DCP and the left precentral gyrus compared with MDD and HCs. The MDD had increased dFC variability between the left VSi and the left medial prefrontal cortex compared with BD II and HCs. CONCLUSIONS The patients with BD and MDD shared common dFC alteration in the dorsal striatal-sensorimotor and ventral striatal-cognitive circuitries. The patients with MDD had specific dFC alteration in the ventral striatal-affective circuitry.
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Affiliation(s)
- Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Pan Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - JiaYing Gong
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
- Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Jurong Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zhenye Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
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Costi S, Han MH, Murrough JW. The Potential of KCNQ Potassium Channel Openers as Novel Antidepressants. CNS Drugs 2022; 36:207-216. [PMID: 35258812 DOI: 10.1007/s40263-021-00885-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/28/2021] [Indexed: 12/12/2022]
Abstract
Major depressive disorder (MDD) is a leading cause of disability worldwide and less than one-third of patients with MDD achieve stable remission of symptoms, despite currently available treatments. Although MDD represents a serious health problem, a complete understanding of the neurobiological mechanisms underlying this condition continues to be elusive. Accumulating evidence from preclinical and animal studies provides support for the antidepressant potential of modulators of KCNQ voltage-gated potassium (K+) channels. KCNQ K+ channels, through regulation of neuronal excitability and activity, contribute to neurophysiological mechanisms underlying stress resilience, and represent potential targets of drug discovery for depression. The present article focuses on the pharmacology and efficacy of KCNQ2/3 K+ channel openers as novel therapeutic agents for depressive disorders from initial studies conducted on animal models showing depressive-like behaviors to recent work in humans that examines the potential for KCNQ2/3 channel modulators as novel antidepressants. Data from preclinical work suggest that KCNQ-type K+ channels are an active mediator of stress resilience and KCNQ2/3 K+ channel openers show antidepressant efficacy. Similarly, evidence from clinical trials conducted in patients with MDD using the KCNQ2/3 channel opener ezogabine (retigabine) showed significant improvements in depressive symptoms and anhedonia. Overall, KCNQ channel openers appear a promising target for the development of novel therapeutics for the treatment of psychiatric disorders and specifically for MDD.
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Affiliation(s)
- Sara Costi
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1230, New York, NY, 10029, USA
| | - Ming-Hu Han
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Center for Affective Neuroscience, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Mental Health and Public Health, Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - James W Murrough
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1230, New York, NY, 10029, USA. .,Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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33
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Abstract
Anhedonia is a hallmark feature of depression and is highly prevalent among individuals with mood disorders. The history and neurobiology of anhedonia has been most extensively studied in the context of unipolar Major Depressive Disorder (MDD), with converging lines of evidence indicating that marked anhedonia heralds a more chronic and treatment-refractory illness course. Furthermore, findings from neuroimaging studies suggest that anhedonia in MDD is associated with aberrant reward-related activation in key brain reward regions, particularly blunted reward anticipation-related activation in the ventral striatum. However, the ongoing clinical challenge of treating anhedonia in the context of Bipolar Disorder (BD) also highlights important gaps in our understanding of anhedonia's prevalence, severity, and pathophysiology along the entire mood disorder spectrum. In addition, although current theoretical models posit a key role for reward hyposensitivity in BD depression, unlike studies in MDD, studies in BD do not clearly show evidence for reduced reward-related activation in striatal or other brain regions. Although further research is needed, the evidence to date hints at a divergent pathophysiology for anhedonia in unipolar and bipolar mood disorders, which, if better understood, could lead to significant improvements in the diagnosis and treatment of MDD and BD.
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Affiliation(s)
- Alexis E Whitton
- Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - Diego A Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital & Harvard Medical School, Belmont, MA, USA.
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Li J, Chen J, Kong W, Li X, Hu B. Abnormal core functional connectivity on the pathology of MDD and antidepressant treatment: A systematic review. J Affect Disord 2022; 296:622-634. [PMID: 34688026 DOI: 10.1016/j.jad.2021.09.074] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/19/2021] [Accepted: 09/22/2021] [Indexed: 02/06/2023]
Abstract
RATIONALE/IMPORTANCE Researches have highlighted communication deficits between resting-state brain networks in major depressive disorder (MDD), as reflected in abnormal functional connectivity (FC). However, it is unclear whether impaired FC is associated with MDD pathology or is simply incidental to MDD symptoms. Moreover, there is no generalized theory to analyze the impact of treatment modalities on MDD. OBJECTIVES To address the issues, we conducted a systematic review of 49 eligible papers to provide insight into the pathological mechanisms of MDD patients by summarizing resting-state FC alterations involving mood and cognitive abnormalities and the effects of medications on them. RESULTS Mood disorders in MDD were characterized by abnormal FC between the amygdala, insula, anterior cingulate cortex (ACC), and prefrontal cortex (PFC). Cognitive impairment manifests as deficits in executive function, attention, memory, and rumination, primarily modulated by dysfunction between the fronto-parietal network and default mode network. Especially, we proposed the set of core abnormal FC (CA-FC) contributing to mood and cognitive impairment in MDD, currently including ACC-left precuneus/amygdala, rostral ACC-left dorsolateral PFC, left subgenual ACC-left cerebellar, left PFC- anterior subcallosal, and left precuneus-left pulvinar. After treatment, patients with normalized CA-FC showed remission of depressive symptoms. CONCLUSIONS We propose a CA-FC set for possible causative principle of MDD, which unifies the FC results from specific, difficult-to-analyze conditions into one outcome set for screening. Furthermore, CA-FC varies from person to person, and the low success rate of a single treatment may be due to the inability to cover too many CA-FC.
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Affiliation(s)
- Jianxiu Li
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, China.
| | - Junhao Chen
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, China.
| | - Wenwen Kong
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, China.
| | - Xiaowei Li
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, China; Shandong Academy of Intelligent Computing Technoloy, China.
| | - Bin Hu
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, China; Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University & Institute of Semiconductors, Chinese Academy of Sciences, China; Engineering Research Center of Open Source Software and Real-Time System (Lanzhou University), Ministry of Education, Lanzhou, China.
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35
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Pizzagalli DA, Roberts AC. Prefrontal cortex and depression. Neuropsychopharmacology 2022; 47:225-246. [PMID: 34341498 PMCID: PMC8617037 DOI: 10.1038/s41386-021-01101-7] [Citation(s) in RCA: 191] [Impact Index Per Article: 95.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/26/2021] [Accepted: 06/28/2021] [Indexed: 01/03/2023]
Abstract
The prefrontal cortex (PFC) has emerged as one of the regions most consistently impaired in major depressive disorder (MDD). Although functional and structural PFC abnormalities have been reported in both individuals with current MDD as well as those at increased vulnerability to MDD, this information has not translated into better treatment and prevention strategies. Here, we argue that dissecting depressive phenotypes into biologically more tractable dimensions - negative processing biases, anhedonia, despair-like behavior (learned helplessness) - affords unique opportunities for integrating clinical findings with mechanistic evidence emerging from preclinical models relevant to depression, and thereby promises to improve our understanding of MDD. To this end, we review and integrate clinical and preclinical literature pertinent to these core phenotypes, while emphasizing a systems-level approach, treatment effects, and whether specific PFC abnormalities are causes or consequences of MDD. In addition, we discuss several key issues linked to cross-species translation, including functional brain homology across species, the importance of dissecting neural pathways underlying specific functional domains that can be fruitfully probed across species, and the experimental approaches that best ensure translatability. Future directions and clinical implications of this burgeoning literature are discussed.
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Affiliation(s)
- Diego A Pizzagalli
- Department of Psychiatry, Harvard Medical School & McLean Hospital, Belmont, MA, USA.
| | - Angela C Roberts
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.
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36
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Morese R, Gruebner O, Sykora M, Elayan S, Fadda M, Albanese E. Detecting Suicide Ideation in the Era of Social Media: The Population Neuroscience Perspective. Front Psychiatry 2022; 13:652167. [PMID: 35492693 PMCID: PMC9046648 DOI: 10.3389/fpsyt.2022.652167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 03/21/2022] [Indexed: 11/13/2022] Open
Abstract
Social media platforms are increasingly used across many population groups not only to communicate and consume information, but also to express symptoms of psychological distress and suicidal thoughts. The detection of suicidal ideation (SI) can contribute to suicide prevention. Twitter data suggesting SI have been associated with negative emotions (e.g., shame, sadness) and a number of geographical and ecological variables (e.g., geographic location, environmental stress). Other important research contributions on SI come from studies in neuroscience. To date, very few research studies have been conducted that combine different disciplines (epidemiology, health geography, neurosciences, psychology, and social media big data science), to build innovative research directions on this topic. This article aims to offer a new interdisciplinary perspective, that is, a Population Neuroscience perspective on SI in order to highlight new ways in which multiple scientific fields interact to successfully investigate emotions and stress in social media to detect SI in the population. We argue that a Population Neuroscience perspective may help to better understand the mechanisms underpinning SI and to promote more effective strategies to prevent suicide timely and at scale.
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Affiliation(s)
- Rosalba Morese
- Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland.,Faculty of Communication, Culture and Society, Università della Svizzera italiana, Lugano, Switzerland
| | - Oliver Gruebner
- Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zürich, Switzerland.,Department of Geography, University of Zurich, Zürich, Switzerland
| | - Martin Sykora
- Centre for Information Management (CIM), School of Business and Economics, Loughborough University, Loughborough, United Kingdom
| | - Suzanne Elayan
- Centre for Information Management (CIM), School of Business and Economics, Loughborough University, Loughborough, United Kingdom
| | - Marta Fadda
- Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland
| | - Emiliano Albanese
- Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland
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Abstract
AIMS Mental health problems early in life can negatively impact educational attainment, which in turn have negative long-term effects on health, social and economic opportunities. Our aims were to: (i) estimate the impacts of different types of psychiatric conditions on educational outcomes and (ii) to estimate the proportion of adverse educational outcomes which can be attributed to psychiatric conditions. METHODS Participants (N = 2511) were from a school-based community cohort of Brazilian children and adolescents aged 6-14 years enriched for high family risk of psychiatric conditions. We examined the impact of fear- (panic, separation and social anxiety disorder, specific phobia, agoraphobia and anxiety conditions not otherwise specified), distress- (generalised anxiety disorder, major depressive disorder and depressive disorder not otherwise specified, bipolar, obsessive-compulsive, tic, eating and post-traumatic stress disorder) and externalising-related conditions (attention deficit and hyperactivity disorder, conduct and oppositional-defiant conditions) on grade repetition, dropout, age-grade distortion, literacy performance and bullying perpetration, 3 years later. Psychiatric conditions were ascertained by psychiatrists, using the Development and Well-Being Behaviour Assessment. Propensity score and inverse probability weighting were used to adjust for potential confounders, including comorbidity, and sample attrition. We calculated the population attributable risk percentages to estimate the proportion of adverse educational outcomes in the population which could be attributed to psychiatric conditions. Analyses were conducted separately for males and females. RESULTS Fear and distress conditions in males were associated with school dropout (odds ratio (OR) = 2.76; 95% confidence interval (CI) = 1.06, 7.22; p < 0.05) and grade repetition (OR = 2.76; 95% CI = 1.32, 5.78; p < 0.01), respectively. Externalising conditions were associated with grade repetition in males (OR = 1.66; 95% CI = 1.05, 2.64; p < 0.05) and females (OR = 2.03; 95% CI = 1.15, 3.58; p < 0.05), as well as age-grade distortion in males (OR = 1.66; 95% CI = 1.05, 2.62; p < 0.05) and females (OR = 2.88; 95% CI = 1.61, 5.14; p < 0.001). Externalising conditions were also associated with lower literacy levels (β = -0.23; 95% CI = -0.34, -0.12; p < 0.001) and bullying perpetration (OR = 3.12; 95% CI = 1.50, 6.51; p < 0.001) in females. If all externalising conditions were prevented or treated, we estimate that 5.0 and 4.8% of grade repetition would not have occurred in females and males, respectively, as well as 10.2 (females) and 5.3% (males) of age-grade distortion cases and 11.4% of female bullying perpetration. CONCLUSIONS The study provides evidence of the negative impact of psychiatric conditions on educational outcomes in a large Brazilian cohort. Externalising conditions had the broadest and most robust negative impacts on education and these were particularly harmful to females which are likely to limit future socio-economic opportunities.
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Qu Y, Rappaport BI, Luby JL, Barch DM. No associations in preregistered study of youth depression and functional connectivity of fronto-parietal and default mode networks. NEUROIMAGE. REPORTS 2021; 1:100036. [PMID: 37207026 PMCID: PMC10194089 DOI: 10.1016/j.ynirp.2021.100036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Adolescence is characterized by vulnerability to the onset of major depressive disorder (MDD). The goal of this preregistered study was to assess neural correlates of depression symptoms in young adolescents, both cross-sectionally and longitudinally. The default mode network (DMN) is believed to support internal attention towards self-referential thoughts, while the fronto-parietal network (FPN) is theorized to support cognitive control and regulation of attention. As MDD diagnosis has been associated with heightened connectivity within DMN regions and diminished connectivity within FPN regions relative to healthy controls, our study builds upon group-difference analyses by using dimensional measures of depression severity. Our preregistered hypotheses were that within-DMN functional connectivity would be positively associated with concurrent depression severity, while within-FPN functional connectivity would be negatively associated with concurrent depression severity. Preregistered analyses also examined between DMN-FPN connectivity as an alternative predictor variable, and assessed the longitudinal associations between all three functional connectivity measures and change in depression severity over three subsequent waves. Multiple regression models tested cross-sectional analyses and hierarchical linear models tested longitudinal analyses. One hundred and twenty-four youth completed a resting state functional MRI. Their depression severity was assessed at the time of the scan and at three follow-up sessions. None of the predictor variables were associated with concurrent depression severity, nor with the slope of depression symptom trajectories in longitudinal analyses. These negative results add to extant cross-sectional studies, and may inform future investigations of brain correlates of depression psychopathology in youth.
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Affiliation(s)
- Yueyue Qu
- Department of Psychological & Brain Sciences, Washington University in St. Louis, One Brrokings Drive, St. Louis, MO, 63105, USA
| | - Brent I. Rappaport
- Department of Psychological & Brain Sciences, Washington University in St. Louis, One Brrokings Drive, St. Louis, MO, 63105, USA
| | - Joan L. Luby
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid Avenue, St. Louis, MO, 63110, USA
| | - Deanna M. Barch
- Department of Psychological & Brain Sciences, Washington University in St. Louis, One Brrokings Drive, St. Louis, MO, 63105, USA
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid Avenue, St. Louis, MO, 63110, USA
- Department of Radiology, Washington University in St. Louis, 660 S. Euclid Avenue, St. Louis, MO, 63110, USA
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Cernasov P, Walsh EC, Kinard JL, Kelley L, Phillips R, Pisoni A, Eisenlohr-Moul TA, Arnold M, Lowery SC, Ammirato M, Truong K, Nagy GA, Oliver JA, Haworth K, Smoski M, Dichter GS. Multilevel growth curve analyses of behavioral activation for anhedonia (BATA) and mindfulness-based cognitive therapy effects on anhedonia and resting-state functional connectivity: Interim results of a randomized trial ✰. J Affect Disord 2021; 292:161-171. [PMID: 34126308 PMCID: PMC8282772 DOI: 10.1016/j.jad.2021.05.054] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 05/03/2021] [Accepted: 05/23/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND The neural mechanisms associated with anhedonia treatment response are poorly understood. Additionally, no study has investigated changes in resting-state functional connectivity (rsFC) accompanying psychosocial treatment for anhedonia. METHODS We evaluated a novel psychotherapy, Behavioral Activation Therapy for Anhedonia (BATA, n = 38) relative to Mindfulness-Based Cognitive Therapy (MBCT, n = 35) in a medication-free, transdiagnostic, anhedonic sample in a parallel randomized controlled trial. Participants completed up to 15 sessions of therapy and up to four 7T MRI scans before, during, and after treatment (n = 185 scans). Growth curve models estimated change over time in anhedonia and in rsFC using average region-of-interest (ROI)-to-ROI connectivity within the default mode network (DMN), frontoparietal network (FPN), salience network, and reward network. Changes in rsFC from pre- to post-treatment were further evaluated using whole-network seed-to-voxel and ROI-to-ROI edgewise analyses. RESULTS Growth curve models showed significant reductions in anhedonia symptoms and in average rsFC within the DMN and FPN over time, across BATA and MBCT. There were no differences in anhedonia reductions between treatments. Within-person, changes in average rsFC were unrelated to changes in anhedonia. Between-person, higher than average FPN rsFC was related to less anhedonia across timepoints. Seed-to-voxel and edgewise rsFC analyses corroborated reductions within the DMN and between the DMN and FPN over time, across the sample. CONCLUSIONS Reductions in rsFC within the DMN, FPN, and between these networks co-occurred with anhedonia improvement across two psychosocial treatments for anhedonia. Future anhedonia clinical trials with a waitlist control group should disambiguate treatment versus time-related effects on rsFC.
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Affiliation(s)
- Paul Cernasov
- Department of Psychology and Neuroscience, University of North Carolina-Chapel Hill, Chapel Hill, NC 27514, USA
| | - Erin C Walsh
- Department of Psychiatry, University of North Carolina-Chapel Hill, Chapel Hill, NC 57514, USA
| | - Jessica L Kinard
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27510, USA; Division of Speech and Hearing Sciences, University of North Carolina-Chapel Hill, Chapel Hill, NC 27514, USA
| | - Lisalynn Kelley
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27705, USA
| | - Rachel Phillips
- Department of Psychology and Neuroscience, University of North Carolina-Chapel Hill, Chapel Hill, NC 27514, USA
| | - Angela Pisoni
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27505, USA
| | - Tory A Eisenlohr-Moul
- Department of Psychiatry, University of Illinois at Chicago, Neuropsychiatry Institute, Chicago, IL 60612, USA
| | - Macey Arnold
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27705, USA
| | - Sarah C Lowery
- Department of Psychology and Neuroscience, University of North Carolina-Chapel Hill, Chapel Hill, NC 27514, USA
| | - Marcy Ammirato
- Department of Psychology and Neuroscience, University of North Carolina-Chapel Hill, Chapel Hill, NC 27514, USA
| | - Kinh Truong
- Department of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, NC, 27514, USA
| | - Gabriela A Nagy
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27705, USA; Duke University School of Nursing, 307 Trent Drive, Durham, NC 27710, USA
| | - Jason A Oliver
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27705, USA; Division of Cancer Control and Population Sciences, Duke Cancer Institute, Durham, NC 27705, USA
| | - Kevin Haworth
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27705, USA
| | - Moria Smoski
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27705, USA; Department of Psychology and Neuroscience, Duke University, Durham, NC 27505, USA
| | - Gabriel S Dichter
- Department of Psychology and Neuroscience, University of North Carolina-Chapel Hill, Chapel Hill, NC 27514, USA; Department of Psychiatry, University of North Carolina-Chapel Hill, Chapel Hill, NC 57514, USA; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27510, USA.
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40
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Sato JR, Biazoli CE, Zugman A, Pan PM, Bueno APA, Moura LM, Gadelha A, Picon FA, Amaro E, Salum GA, Miguel EC, Rohde LA, Bressan RA, Jackowski AP. Long-term stability of the cortical volumetric profile and the functional human connectome throughout childhood and adolescence. Eur J Neurosci 2021; 54:6187-6201. [PMID: 34460993 DOI: 10.1111/ejn.15435] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/18/2021] [Accepted: 08/28/2021] [Indexed: 11/26/2022]
Abstract
There is compelling evidence showing that between-subject variability in several functional and structural brain features is sufficient for unique identification in adults. However, individuation of brain functional connectomes depends on the stabilization of neurodevelopmental processes during childhood and adolescence. Here, we aimed to (1) evaluate the intra-subject functional connectome stability over time for the whole brain and for large scale functional networks and (2) determine the long-term identification accuracy or 'fingerprinting' for the cortical volumetric profile and the functional connectome. For these purposes, we analysed a longitudinal cohort of 239 children and adolescents scanned in two sessions with an interval of approximately 3 years (age range 6-15 years at baseline and 9-18 years at follow-up). Corroborating previous results using short between-scan intervals in children and adolescents, we observed a moderate identification accuracy (38%) for the whole functional profile. In contrast, identification accuracy using cortical volumetric profile was 95%. Among the large-scale networks, the default-mode (26.8%), the frontoparietal (23.4%) and the dorsal-attention (27.6%) networks were the most discriminative. Our results provide further evidence for a protracted development of specific individual structural and functional connectivity profiles.
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Affiliation(s)
- João Ricardo Sato
- Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil.,Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Claudinei Eduardo Biazoli
- Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil.,Department of Biological and Experimental Psychology, Queen Mary University of London, London, UK
| | - André Zugman
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Pedro Mario Pan
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Ana Paula Arantes Bueno
- Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil
| | - Luciana Monteiro Moura
- Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil.,Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Ary Gadelha
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Felipe Almeida Picon
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil.,ADHD Outpatient Program & Developmental Psychiatry Program, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Edson Amaro
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil.,Department of Radiology, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Giovanni Abrahão Salum
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil.,ADHD Outpatient Program & Developmental Psychiatry Program, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Euripedes Constantino Miguel
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil.,Department of Psychiatry, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Luis Augusto Rohde
- National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil.,ADHD Outpatient Program & Developmental Psychiatry Program, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Rodrigo Affonseca Bressan
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Andrea Parolin Jackowski
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
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41
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Grimm O, van Rooij D, Hoogman M, Klein M, Buitelaar J, Franke B, Reif A, Plichta MM. Transdiagnostic neuroimaging of reward system phenotypes in ADHD and comorbid disorders. Neurosci Biobehav Rev 2021; 128:165-181. [PMID: 34144113 DOI: 10.1016/j.neubiorev.2021.06.025] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 06/13/2021] [Accepted: 06/13/2021] [Indexed: 02/08/2023]
Abstract
ADHD is a disorder characterized by changes in the reward system and which is highly comorbid with other mental disorders, suggesting common neurobiological pathways. Transdiagnostic neuroimaging findings could help to understand whether a dysregulated reward pathway might be the actual link between ADHD and its comorbidities. We here synthesize ADHD neuroimaging findings on the reward system with findings in obesity, depression, and substance use disorder including their comorbid appearance regarding neuroanatomical features (structural MRI) and activation patterns (resting-state and functional MRI). We focus on findings from monetary-incentive-delay (MID) and delay-discounting (DD) tasks and then review data on striatal connectivity and volumetry. Next, for better understanding of comorbidity in adult ADHD, we discuss these neuroimaging features in ADHD, obesity, depression and substance use disorder and ask whether ADHD heterogeneity and comorbidity are reflected by a common dysregulation in the reward system. Finally, we highlight conceptual issues related to heterogeneous paradigms, different phenotyping, longitudinal prediction and highlight some promising future directions for using striatal reward functioning as a clinical biomarker.
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Affiliation(s)
- Oliver Grimm
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.
| | - Daan van Rooij
- Donders Centre for Cognitive Neuroimaging, CNS Department, University Medical Centre Nijmegen, the Netherlands
| | - Martine Hoogman
- Donders Centre for Cognitive Neuroimaging, CNS Department, University Medical Centre Nijmegen, the Netherlands
| | - Marieke Klein
- Donders Centre for Cognitive Neuroimaging, CNS Department, University Medical Centre Nijmegen, the Netherlands; Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Psychiatry, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Jan Buitelaar
- Donders Centre for Cognitive Neuroimaging, CNS Department, University Medical Centre Nijmegen, the Netherlands
| | - Barbara Franke
- Donders Centre for Cognitive Neuroimaging, CNS Department, University Medical Centre Nijmegen, the Netherlands
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Michael M Plichta
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
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42
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Ely BA, Liu Q, DeWitt SJ, Mehra LM, Alonso CM, Gabbay V. Data-driven parcellation and graph theory analyses to study adolescent mood and anxiety symptoms. Transl Psychiatry 2021; 11:266. [PMID: 33941762 PMCID: PMC8093238 DOI: 10.1038/s41398-021-01321-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 12/31/2020] [Accepted: 02/01/2021] [Indexed: 02/03/2023] Open
Abstract
Adolescence is a period of rapid brain development when psychiatric symptoms often first emerge. Studying adolescents may therefore facilitate the identification of neural alterations early in the course of psychiatric conditions. Here, we sought to utilize new, high-quality brain parcellations and data-driven graph theory approaches to characterize associations between resting-state networks and the severity of depression, anxiety, and anhedonia symptoms-salient features across psychiatric conditions. As reward circuitry matures considerably during adolescence, we examined both Whole Brain and three task-derived reward networks. Subjects were 87 psychotropic-medication-free adolescents (age = 12-20) with diverse psychiatric conditions (n = 68) and healthy controls (n = 19). All completed diagnostic interviews, dimensional clinical assessments, and 3T resting-state fMRI (10 min/2.3 mm/TR = 1 s). Following high-quality Human Connectome Project-style preprocessing, multimodal surface matching (MSMAll) alignment, and parcellation via the Cole-Anticevic Brain-wide Network Partition, weighted graph theoretical metrics (Strength Centrality = CStr; Eigenvector Centrality = CEig; Local Efficiency = ELoc) were estimated within each network. Associations with symptom severity and clinical status were assessed non-parametrically (two-tailed pFWE < 0.05). Across subjects, depression scores correlated with ventral striatum CStr within the Reward Attainment network, while anticipatory anhedonia correlated with CStr and ELoc in the subgenual anterior cingulate, dorsal anterior cingulate, orbitofrontal cortex, caudate, and ventral striatum across multiple networks. Group differences and associations with anxiety were not detected. Using detailed functional and clinical measures, we found that adolescent depression and anhedonia involve increased influence and communication efficiency in prefrontal and limbic reward areas. Resting-state network properties thus reflect positive valence system anomalies related to discrete reward sub-systems and processing phases early in the course of illness.
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Affiliation(s)
- Benjamin A. Ely
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY USA
| | - Qi Liu
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY USA
| | - Samuel J. DeWitt
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Lushna M. Mehra
- Department of Psychology, Florida State University, Tallahassee, FL USA
| | - Carmen M. Alonso
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY USA
| | - Vilma Gabbay
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA. .,Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
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43
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Gallo LMH, Giampietro V, Zunszain PA, Tan KS. Covid-19 and Mental Health: Could Visual Art Exposure Help? Front Psychol 2021; 12:650314. [PMID: 33995207 PMCID: PMC8119628 DOI: 10.3389/fpsyg.2021.650314] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 04/01/2021] [Indexed: 01/03/2023] Open
Abstract
A worldwidemental health crisis is expected, as millions worldwide fear death and disease while being forced into repeated isolation. Thus, there is a need for new proactive approaches to improve mental resilience and prevent mental health conditions. Since the 1990s, art has emerged as an alternative mental health therapy in the United States and Europe, becoming part of the social care agenda. This article focuses on how visual esthetic experiences can create similar patterns of neuronal activity as those observed when the reward system is activated. The activation of the reward structures could have a stress buffering effect, given the interdependence observed between the reward and stress systems. Therefore, could visual esthetic experiences stimulate mental resilience? And if this were the case, could art-based interventions be offered for mental health in the context of COVID-19 and beyond?
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Affiliation(s)
- Laura M. H. Gallo
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Vincent Giampietro
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Patricia A. Zunszain
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Kai Syng Tan
- Manchester School of Art, Manchester Metropolitan University, Manchester, United Kingdom
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44
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Mind the brain gap: The worldwide distribution of neuroimaging research on adolescent depression. Neuroimage 2021; 231:117865. [PMID: 33592242 PMCID: PMC8328473 DOI: 10.1016/j.neuroimage.2021.117865] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/25/2020] [Accepted: 02/09/2021] [Indexed: 12/26/2022] Open
Abstract
Adolescents comprise one fourth of the world’s population, with about 90% of them living in low- and middle-income countries (LMICs). The incidence of depression markedly increases during adolescence, making the disorder a leading cause of disease-related disability in this age group. However, most research on adolescent depression has been performed in high-income countries (HICs). To ascertain the extent to which this disparity operates in neuroimaging research, a systematic review of the literature was performed. A total of 148 studies were identified, with neuroimaging data available for 4,729 adolescents with depression. When stratified by income group, 122 (82%) studies originated from HICs, while 26 (18%) were conducted in LMICs, for a total of 3,705 and 1,024 adolescents with depression respectively. A positive Spearman rank correlation was observed between country per capita income and sample size (rs =0.673, p = 0.023). Our results support the previous reports showing a large disparity between the number of studies and the adolescent population per world region. Future research comparing neuroimaging findings across populations from HICs and LMICs may provide unique insights to enhance our understanding of the neurobiological processes underlying the development of depression.
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45
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Rudolph KD, Davis MM, Skymba HV, Modi HH, Telzer EH. Social experience calibrates neural sensitivity to social feedback during adolescence: A functional connectivity approach. Dev Cogn Neurosci 2021; 47:100903. [PMID: 33370666 PMCID: PMC7773533 DOI: 10.1016/j.dcn.2020.100903] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 07/27/2020] [Accepted: 12/07/2020] [Indexed: 11/28/2022] Open
Abstract
The adaptive calibration model suggests exposure to highly stressful or highly supportive early environments sensitizes the brain to later environmental input. We examined whether family and peer experiences predict neural sensitivity to social cues in 85 adolescent girls who completed a social feedback task during a functional brain scan and an interview assessing adversity. Whole-brain functional connectivity (FC) analyses revealed curvilinear associations between social experiences and FC between the ventral striatum and regions involved in emotion valuation, social cognition, and salience detection (e.g., insula, MPFC, dACC, dlPFC) during social reward processing, such that stronger FC was found at both very high and very low levels of adversity. Moreover, exposure to adversity predicted stronger FC between the amygdala and regions involved in salience detection, social cognition, and emotional memory (e.g., sgACC, precuneus, lingual gyrus, parahippocampal gyrus) during social threat processing. Analyses also revealed some evidence for blunted FC (VS-PCC for reward; amygdala-parahippocampal gyrus for threat) at very high and low levels of adversity. Overall, results suggest social experiences may play a critical role in shaping neural sensitivity to social feedback during adolescence. Future work will need to elucidate the implications of these patterns of neural function for the development of psychopathology.
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Affiliation(s)
- Karen D Rudolph
- University of Illinois at Urbana-Champaign, Department of Psychology, 603 E. Daniel St, Champaign, IL, 61820, USA.
| | - Megan M Davis
- University of Illinois at Urbana-Champaign, Department of Psychology, 603 E. Daniel St, Champaign, IL, 61820, USA
| | - Haley V Skymba
- University of Illinois at Urbana-Champaign, Department of Psychology, 603 E. Daniel St, Champaign, IL, 61820, USA
| | - Haina H Modi
- University of Illinois at Urbana-Champaign, Department of Psychology, 603 E. Daniel St, Champaign, IL, 61820, USA
| | - Eva H Telzer
- University of North Carolina at Chapel Hill, Department of Psychology and Neuroscience, 235 E Cameron Ave, Chapel Hill, NC, 27599, USA
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46
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A Social Affective Neuroscience Model of Risk and Resilience in Adolescent Depression: Preliminary Evidence and Application to Sexual and Gender Minority Adolescents. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:188-199. [PMID: 33097468 PMCID: PMC9912296 DOI: 10.1016/j.bpsc.2020.07.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 07/15/2020] [Accepted: 07/31/2020] [Indexed: 01/25/2023]
Abstract
Depression is a disorder of dysregulated affective and social functioning, with attenuated response to reward, heightened response to threat (perhaps especially social threat), excessive focus on negative aspects of the self, ineffective engagement with other people, and difficulty modulating all of these responses. Known risk factors provide a starting point for a model of developmental pathways to resilience, and we propose that the interplay of social threat experiences and neural social-affective systems is critical to those pathways. We describe a model of risk and resilience, review supporting evidence, and apply the model to sexual and gender minority adolescents, a population with high disparities in depression and unique social risk factors. This approach illustrates the fundamental role of a socially and developmentally informed clinical neuroscience model for understanding a population disproportionately affected by risk factors and psychopathology outcomes. We consider it a public health imperative to apply conceptual models to high-need populations to elucidate targets for effective interventions to promote healthy development and enhance resilience.
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47
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Busatto G, Rosa PG, Serpa MH, Squarzoni P, Duran FL. Psychiatric neuroimaging research in Brazil: historical overview, current challenges, and future opportunities. REVISTA BRASILEIRA DE PSIQUIATRIA (SAO PAULO, BRAZIL : 1999) 2021; 43:83-101. [PMID: 32520165 PMCID: PMC7861184 DOI: 10.1590/1516-4446-2019-0757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 02/03/2020] [Indexed: 11/23/2022]
Abstract
The last four decades have witnessed tremendous growth in research studies applying neuroimaging methods to evaluate pathophysiological and treatment aspects of psychiatric disorders around the world. This article provides a brief history of psychiatric neuroimaging research in Brazil, including quantitative information about the growth of this field in the country over the past 20 years. Also described are the various methodologies used, the wealth of scientific questions investigated, and the strength of international collaborations established. Finally, examples of the many methodological advances that have emerged in the field of in vivo neuroimaging are provided, with discussion of the challenges faced by psychiatric research groups in Brazil, a country of limited resources, to continue incorporating such innovations to generate novel scientific data of local and global relevance.
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Affiliation(s)
- Geraldo Busatto
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Pedro G. Rosa
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Mauricio H. Serpa
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Paula Squarzoni
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Fabio L. Duran
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
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48
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Translational application of neuroimaging in major depressive disorder: a review of psychoradiological studies. Front Med 2021; 15:528-540. [PMID: 33511554 DOI: 10.1007/s11684-020-0798-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 04/25/2020] [Indexed: 02/05/2023]
Abstract
Major depressive disorder (MDD) causes great decrements in health and quality of life with increments in healthcare costs, but the causes and pathogenesis of depression remain largely unknown, which greatly prevent its early detection and effective treatment. With the advancement of neuroimaging approaches, numerous functional and structural alterations in the brain have been detected in MDD and more recently attempts have been made to apply these findings to clinical practice. In this review, we provide an updated summary of the progress in translational application of psychoradiological findings in MDD with a specified focus on potential clinical usage. The foreseeable clinical applications for different MRI modalities were introduced according to their role in disorder classification, subtyping, and prediction. While evidence of cerebral structural and functional changes associated with MDD classification and subtyping was heterogeneous and/or sparse, the ACC and hippocampus have been consistently suggested to be important biomarkers in predicting treatment selection and treatment response. These findings underlined the potential utility of brain biomarkers for clinical practice.
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Mkrtchian A, Evans JW, Kraus C, Yuan P, Kadriu B, Nugent AC, Roiser JP, Zarate CA. Ketamine modulates fronto-striatal circuitry in depressed and healthy individuals. Mol Psychiatry 2021; 26:3292-3301. [PMID: 32929215 PMCID: PMC8462973 DOI: 10.1038/s41380-020-00878-1] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 07/27/2020] [Accepted: 09/03/2020] [Indexed: 12/18/2022]
Abstract
Ketamine improves motivation-related symptoms in depression but simultaneously elicits similar symptoms in healthy individuals, suggesting that it might have different effects in health and disease. This study examined whether ketamine affects the brain's fronto-striatal system, which is known to drive motivational behavior. The study also assessed whether inflammatory mechanisms-which are known to influence neural and behavioral motivational processes-might underlie some of these changes. These questions were explored in the context of a double-blind, placebo-controlled, crossover trial of ketamine in 33 individuals with treatment-resistant major depressive disorder (TRD) and 25 healthy volunteers (HVs). Resting-state functional magnetic resonance imaging (rsfMRI) was acquired 2 days post-ketamine (final sample: TRD n = 27, HV n = 19) and post-placebo (final sample: TRD n = 25, HV n = 18) infusions and was used to probe fronto-striatal circuitry with striatal seed-based functional connectivity. Ketamine increased fronto-striatal functional connectivity in TRD participants toward levels observed in HVs while shifting the connectivity profile in HVs toward a state similar to TRD participants under placebo. Preliminary findings suggest that these effects were largely observed in the absence of inflammatory (C-reactive protein) changes and were associated with both acute and sustained improvements in symptoms in the TRD group. Ketamine thus normalized fronto-striatal connectivity in TRD participants but disrupted it in HVs independently of inflammatory processes. These findings highlight the potential importance of reward circuitry in ketamine's mechanism of action, which may be particularly relevant for understanding ketamine-induced shifts in motivational symptoms.
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Affiliation(s)
- Anahit Mkrtchian
- Section on the Neurobiology and Treatment of Mood Disorders, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA. .,Neuroscience and Mental Health Group, Institute of Cognitive Neuroscience, University College London, London, UK.
| | - Jennifer W. Evans
- grid.94365.3d0000 0001 2297 5165Section on the Neurobiology and Treatment of Mood Disorders, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD USA
| | - Christoph Kraus
- grid.94365.3d0000 0001 2297 5165Section on the Neurobiology and Treatment of Mood Disorders, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD USA
| | - Peixiong Yuan
- grid.94365.3d0000 0001 2297 5165Section on the Neurobiology and Treatment of Mood Disorders, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD USA
| | - Bashkim Kadriu
- grid.94365.3d0000 0001 2297 5165Section on the Neurobiology and Treatment of Mood Disorders, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD USA
| | - Allison C. Nugent
- grid.94365.3d0000 0001 2297 5165Section on the Neurobiology and Treatment of Mood Disorders, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD USA ,grid.94365.3d0000 0001 2297 5165Magnetoencephalography Core Facility, National Institute of Mental Health, National Institutes of Health, Bethesda, MD USA
| | - Jonathan P. Roiser
- grid.83440.3b0000000121901201Neuroscience and Mental Health Group, Institute of Cognitive Neuroscience, University College London, London, UK
| | - Carlos A. Zarate
- grid.94365.3d0000 0001 2297 5165Section on the Neurobiology and Treatment of Mood Disorders, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD USA
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Ambrase A, Lewis CA, Barth C, Derntl B. Influence of ovarian hormones on value-based decision-making systems: Contribution to sexual dimorphisms in mental disorders. Front Neuroendocrinol 2021; 60:100873. [PMID: 32987043 DOI: 10.1016/j.yfrne.2020.100873] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 07/28/2020] [Accepted: 09/15/2020] [Indexed: 12/22/2022]
Abstract
Women and men exhibit differences in behavior when making value-based decisions. Various hypotheses have been proposed to explain these findings, stressing differences in functional lateralization of the brain, functional activation, neurotransmitter involvement and more recently, sex hormones. While a significant interaction of neurotransmitter systems and sex hormones has been shown for both sexes, decision-making in women might be particularly affected by variations of ovarian hormones. In this review we have gathered information from animal and human studies on how ovarian hormones affect decision-making processes in females by interacting with neurotransmitter systems at functionally relevant brain locations and thus modify the computation of decision aspects. We also review previous findings on impaired decision-making in animals and clinical populations with substance use disorder and depression, emphasizing how little we know about the role of ovarian hormones in aberrant decision-making.
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Affiliation(s)
- Aiste Ambrase
- Department of Psychiatry and Psychotherapy, University of Tuebingen, Tübingen, Germany; International Max Planck Research School for Cognitive and Systems Neuroscience, University of Tübingen, Tuebingen, Germany
| | - Carolin A Lewis
- Department of Psychiatry and Psychotherapy, University of Tuebingen, Tübingen, Germany; Emotion Neuroimaging Lab, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, Leipzig, Germany
| | - Claudia Barth
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Birgit Derntl
- Department of Psychiatry and Psychotherapy, University of Tuebingen, Tübingen, Germany; International Max Planck Research School for Cognitive and Systems Neuroscience, University of Tübingen, Tuebingen, Germany; TübingenNeuroCampus, University of Tübingen, Tübingen, Germany; LEAD Research School and Graduate Network, University of Tübingen, Tübingen, Germany.
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