The Role of Educational Attainment and Brain Morphology in Major Depressive Disorder: Findings From the ENIGMA Major Depressive Disorder Consortium
dc.authorid | Singh, Aditya/0000-0002-0539-7129 | |
dc.authorid | Thompson, Paul/0000-0002-4720-8867 | |
dc.authorid | Schmaal, Lianne/0000-0001-9822-048X | |
dc.authorid | Stein, Dan/0000-0001-7218-7810 | |
dc.authorid | Hermesdorf, Marco/0000-0003-3541-7212 | |
dc.authorid | Krug, Axel/0000-0002-0564-2497 | |
dc.authorid | Meinert, Susanne/0000-0003-2177-7161 | |
dc.authorwosid | Thompson, Paul/C-4194-2018 | |
dc.authorwosid | Whittle, Sarah/I-2200-2014 | |
dc.authorwosid | Stein, Dan/A-1752-2008 | |
dc.authorwosid | UYAR DEMIR, ASLIHAN/HHS-8987-2022 | |
dc.contributor.author | Whittle, Sarah | |
dc.contributor.author | Rakesh, Divyangana | |
dc.contributor.author | Schmaal, Lianne | |
dc.contributor.author | Veltman, Dick J. | |
dc.contributor.author | Thompson, Paul M. | |
dc.contributor.author | Singh, Aditya | |
dc.contributor.author | Gonul, Ali Saffet | |
dc.date.accessioned | 2024-08-25T18:51:54Z | |
dc.date.available | 2024-08-25T18:51:54Z | |
dc.date.issued | 2022 | |
dc.department | Ege Üniversitesi | en_US |
dc.description.abstract | Brain structural abnormalities and low educational attainment are consistently associated with major depressive disorder (MDD), yet there has been little research investigating the complex interaction of these factors. Brain structural alterations may represent a vulnerability or differential susceptibility marker, and in the context of low educational attainment, predict MDD. We tested this moderation model in a large multisite sample of 1958 adults with MDD and 2921 controls (aged 18 to 86) from the ENIGMA MDD working group. Using generalized linear mixed models and within-sample split-half replication, we tested whether brain structure interacted with educational attainment to predict MDD status. Analyses revealed that cortical thickness in a number of occipital, parietal, and frontal regions significantly interacted with education to predict MDD. For the majority of regions, models suggested a differential susceptibility effect, whereby thicker cortex was more likely to predict MDD in individuals with low educational attainment, but less likely to predict MDD in individuals with high educational attainment. Findings suggest that greater thickness of brain regions subserving visuomotor and social-cognitive functions confers susceptibility to MDD, dependent on level of educational attainment. Longitudinal work, however, is ultimately needed to establish whether cortical thickness represents a preexisting susceptibility marker. General Scientific Summary Findings from this study provide support for a complex interplay of biological and environmental factors being important in predicting major depressive disorder. Findings suggest that alterations in brain structure may not predict depression in all individuals; rather, such alterations may only predict depression in the context of adverse environmental experiences. Conversely, these same alterations may protect against depression in the context of positive environmental experiences. | en_US |
dc.description.sponsorship | National Institutes of Health [U54 EB020403, R01 MH116147, R01 MH117601]; NHMRC [1125504]; Melbourne Research Scholarship (MRS); NHMRC Career Development Fellowship [1140764]; University Medical Center Goettingen (UMG Startfoerderung); German Federal Ministry of Education and Research (Bundesministerium fuer Bildung und Forschung [BMBF: 01 ZX 1507]; Generalitat de Catalunya [2017SGR1343]; Instituto Carlos III (Spanish Ministry of Health); European Regional Development Fund/European Social Fund Investing in your future; CIBERSAM [G21]; Deutsche Forschungsgemeinschaft (DFG) [GR1950/5-1, GR1950/10-1]; Gratama Foundation, the Netherlands [2012/35]; German Research Foundation (DFG) [FOR2107 KR 3822/7-2, FOR2107 KI 588/14-2, FOR2107 JA 1890/7-2]; National Institute of Mental Health [R01 085667]; Dunn Research Foundation; Pat Rutherford, Jr. Endowed Chair in Psychiatry; Italian Ministry of University and Scientific Research [RF-2011-02349921]; NHG Research Grant [SIG/15012]; Federal Ministry of Education and Research [01ZZ9603, 01ZZ0103, 01ZZ0403]; Ministry of Cultural Affairs; Social Ministry of the Federal State of Mecklenburg-West Pomerania; Siemens Healthineers, Erlangen, Germany; Federal State of Mecklenburg-West Pomerania; German Federal Ministry of Education and Research (BMBF) [FKZ-01ER0816, FKZ-01ER1506]; Phyllis and Jerome Lyle Rappaport Foundation | en_US |
dc.description.sponsorship | ENIGMA MDD work is supported by National Institutes of Health Grants U54 EB020403 (Paul M. Thompson), R01 MH116147 (Paul M. Thompson), and R01 MH117601 (Lianne Schmaal). Sarah Whittle was supported by an NHMRC Career Development Fellowship (ID: 1125504), Divyangana Rakesh was supported by a Melbourne Research Scholarship (MRS). Lianne Schmaal was supported by an NHMRC Career Development Fellowship (1140764). AFFDIS cohort: this study was funded by the University Medical Center Goettingen (UMG Startfoerderung) and the research team is supported by German Federal Ministry of Education and Research (Bundesministerium fuer Bildung und Forschung, BMBF: 01 ZX 1507, PreNeSt - e:Med). Barcelona cohort: Funded by Generalitat de Catalunya (2017SGR1343), several Grants from the Instituto Carlos III (Spanish Ministry of Health), the European Regional Development Fund/European Social Fund Investing in your future, and CIBERSAM (G21). CLING cohort: this study was partially supported by the Deutsche Forschungsgemeinschaft (DFG) via Grants to Oliver Gruber (GR1950/5-1 and GR1950/10-1). DIP-Groningen cohort: this study was supported by the Gratama Foundation, the Netherlands (2012/35 to NG). FOR2107-Marburg cohort: funded by the German Research Foundation (DFG, Grant FOR2107 KR 3822/7-2 to Axel Krug; FOR2107 KI 588/14-2 to Tilo Kircher and FOR2107 JA 1890/7-2). Houston cohorts: supported in part by National Institute of Mental Health Grant R01 085667 and the Dunn Research Foundation. Jair C. Soares is supported by the Pat Rutherford, Jr. Endowed Chair in Psychiatry. Milan Cohort: Funded by Italian Ministry of University and Scientific Research (RF-2011-02349921). Singapore Cohort: Funded by the NHG Research Grant (SIG/15012) awarded to Kang Sim. SHIP-trend cohorts: SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (ID: 01ZZ9603, 01ZZ0103, and 01ZZ0403), the Ministry of Cultural Affairs and the Social Ministry of the Federal State of Mecklenburg-West Pomerania. MRI scans in SHIP and SHIP-TREND have been supported by a joint Grant from Siemens Healthineers, Erlangen, Germany, and the Federal State of Mecklenburg-West Pomerania. Stanford cohorts: this work was supported by National Institutes of Health Grant R37 MH101495. The BiDirect Study was supported by Grants from the German Federal Ministry of Education and Research (BMBF; Grants FKZ-01ER0816 and FKZ-01ER1506). Matthew D. Sacchet is partially supported by an Award funded by the Phyllis and Jerome Lyle Rappaport Foundation. | en_US |
dc.identifier.doi | 10.1037/abn0000738 | |
dc.identifier.endpage | 673 | en_US |
dc.identifier.issn | 2769-7541 | |
dc.identifier.issn | 2769-755X | |
dc.identifier.issue | 6 | en_US |
dc.identifier.pmid | 35653754 | en_US |
dc.identifier.startpage | 664 | en_US |
dc.identifier.uri | https://doi.org/10.1037/abn0000738 | |
dc.identifier.uri | https://hdl.handle.net/11454/102757 | |
dc.identifier.volume | 131 | en_US |
dc.identifier.wos | WOS:000969034600016 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.language.iso | en | en_US |
dc.publisher | Amer Psychological Assoc | en_US |
dc.relation.ispartof | Journal of Psychopathology and Clinical Science | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.snmz | 20240825_G | en_US |
dc.subject | socioeconomic status | en_US |
dc.subject | diathesis-stress | en_US |
dc.subject | differential susceptibility | en_US |
dc.subject | brain structure | en_US |
dc.subject | depression | en_US |
dc.subject | Differential Susceptibility | en_US |
dc.subject | Socioeconomic-Status | en_US |
dc.subject | Hippocampal Volume | en_US |
dc.subject | Environment | en_US |
dc.subject | Context | en_US |
dc.subject | Reward | en_US |
dc.subject | Risk | en_US |
dc.title | The Role of Educational Attainment and Brain Morphology in Major Depressive Disorder: Findings From the ENIGMA Major Depressive Disorder Consortium | en_US |
dc.type | Article | en_US |