The Role of Educational Attainment and Brain Morphology in Major Depressive Disorder: Findings From the ENIGMA Major Depressive Disorder Consortium
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 suscep...
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creator | Whittle, Sarah Rakesh, Divyangana Schmaal, Lianne Veltman, Dick J. Thompson, Paul M. Singh, Aditya Gonul, Ali Saffet Aleman, Andre Uyar Demir, Aslıhan Krug, Axel Mwangi, Benson Krämer, Bernd Baune, Bernhard T. Stein, Dan J. Grotegerd, Dominik Pomarol-Clotet, Edith Rodríguez-Cano, Elena Melloni, Elisa Benedetti, Francesco Stein, Frederike Grabe, Hans J. Völzke, Henry Gotlib, Ian H. Nenadić, Igor Soares, Jair C. Repple, Jonathan Sim, Kang Brosch, Katharina Wittfeld, Katharina Berger, Klaus Hermesdorf, Marco Portella, Maria J. Sacchet, Matthew D. Wu, Mon-Ju Opel, Nils Groenewold, Nynke A. Gruber, Oliver Fuentes-Claramonte, Paola Salvador, Raymond Goya-Maldonado, Roberto Sarró, Salvador Poletti, Sara Meinert, Susanne L. Kircher, Tilo Dannlowski, Udo Pozzi, Elena |
description | 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 SummaryFindings 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. |
doi_str_mv | 10.1037/abn0000738 |
format | Article |
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General Scientific SummaryFindings 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.</description><identifier>ISSN: 2769-7541</identifier><identifier>EISSN: 2769-755X</identifier><identifier>DOI: 10.1037/abn0000738</identifier><identifier>PMID: 35653754</identifier><language>eng</language><publisher>United States: American Psychological Association</publisher><subject>Adult ; Brain - diagnostic imaging ; Brain Size ; Brain structure ; Cognitive functioning ; Cortex ; Depressive Disorder, Major - diagnostic imaging ; Depressive personality disorders ; Educational attainment ; Educational Attainment Level ; Educational Status ; Female ; Frontal Lobe ; Human ; Humans ; Magnetic Resonance Imaging ; Major Depression ; Male ; Mental depression ; Moderation ; Morphology ; Neuroanatomy ; Socioeconomic Status ; Susceptibility ; Susceptibility (Disorders)</subject><ispartof>Journal of psychopathology and clinical science, 2022-08, Vol.131 (6), p.664-673</ispartof><rights>2022 American Psychological Association</rights><rights>2022, American Psychological Association</rights><rights>Copyright American Psychological Association Aug 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a346t-49bcf0f051503430459761167fbf2b0429580c728773289ebcc24c2b23cb17cb3</citedby><orcidid>0000-0001-7218-7810 ; 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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 SummaryFindings 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.</description><subject>Adult</subject><subject>Brain - diagnostic imaging</subject><subject>Brain Size</subject><subject>Brain structure</subject><subject>Cognitive functioning</subject><subject>Cortex</subject><subject>Depressive Disorder, Major - diagnostic imaging</subject><subject>Depressive personality disorders</subject><subject>Educational attainment</subject><subject>Educational Attainment Level</subject><subject>Educational Status</subject><subject>Female</subject><subject>Frontal Lobe</subject><subject>Human</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging</subject><subject>Major Depression</subject><subject>Male</subject><subject>Mental depression</subject><subject>Moderation</subject><subject>Morphology</subject><subject>Neuroanatomy</subject><subject>Socioeconomic Status</subject><subject>Susceptibility</subject><subject>Susceptibility 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Role of Educational Attainment and Brain Morphology in Major Depressive Disorder: Findings From the ENIGMA Major Depressive Disorder Consortium</title><author>Whittle, Sarah ; Rakesh, Divyangana ; Schmaal, Lianne ; Veltman, Dick J. ; Thompson, Paul M. ; Singh, Aditya ; Gonul, Ali Saffet ; Aleman, Andre ; Uyar Demir, Aslıhan ; Krug, Axel ; Mwangi, Benson ; Krämer, Bernd ; Baune, Bernhard T. ; Stein, Dan J. ; Grotegerd, Dominik ; Pomarol-Clotet, Edith ; Rodríguez-Cano, Elena ; Melloni, Elisa ; Benedetti, Francesco ; Stein, Frederike ; Grabe, Hans J. ; Völzke, Henry ; Gotlib, Ian H. ; Nenadić, Igor ; Soares, Jair C. ; Repple, Jonathan ; Sim, Kang ; Brosch, Katharina ; Wittfeld, Katharina ; Berger, Klaus ; Hermesdorf, Marco ; Portella, Maria J. ; Sacchet, Matthew D. ; Wu, Mon-Ju ; Opel, Nils ; Groenewold, Nynke A. ; Gruber, Oliver ; Fuentes-Claramonte, Paola ; Salvador, Raymond ; Goya-Maldonado, Roberto ; Sarró, Salvador ; Poletti, Sara ; Meinert, Susanne L. ; Kircher, Tilo ; Dannlowski, Udo ; Pozzi, Elena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a346t-49bcf0f051503430459761167fbf2b0429580c728773289ebcc24c2b23cb17cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adult</topic><topic>Brain - diagnostic imaging</topic><topic>Brain Size</topic><topic>Brain structure</topic><topic>Cognitive functioning</topic><topic>Cortex</topic><topic>Depressive Disorder, Major - diagnostic imaging</topic><topic>Depressive personality disorders</topic><topic>Educational attainment</topic><topic>Educational Attainment Level</topic><topic>Educational Status</topic><topic>Female</topic><topic>Frontal Lobe</topic><topic>Human</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging</topic><topic>Major Depression</topic><topic>Male</topic><topic>Mental depression</topic><topic>Moderation</topic><topic>Morphology</topic><topic>Neuroanatomy</topic><topic>Socioeconomic Status</topic><topic>Susceptibility</topic><topic>Susceptibility (Disorders)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Whittle, Sarah</creatorcontrib><creatorcontrib>Rakesh, Divyangana</creatorcontrib><creatorcontrib>Schmaal, Lianne</creatorcontrib><creatorcontrib>Veltman, Dick J.</creatorcontrib><creatorcontrib>Thompson, Paul M.</creatorcontrib><creatorcontrib>Singh, Aditya</creatorcontrib><creatorcontrib>Gonul, Ali Saffet</creatorcontrib><creatorcontrib>Aleman, Andre</creatorcontrib><creatorcontrib>Uyar Demir, Aslıhan</creatorcontrib><creatorcontrib>Krug, Axel</creatorcontrib><creatorcontrib>Mwangi, Benson</creatorcontrib><creatorcontrib>Krämer, Bernd</creatorcontrib><creatorcontrib>Baune, Bernhard T.</creatorcontrib><creatorcontrib>Stein, Dan J.</creatorcontrib><creatorcontrib>Grotegerd, Dominik</creatorcontrib><creatorcontrib>Pomarol-Clotet, Edith</creatorcontrib><creatorcontrib>Rodríguez-Cano, Elena</creatorcontrib><creatorcontrib>Melloni, Elisa</creatorcontrib><creatorcontrib>Benedetti, Francesco</creatorcontrib><creatorcontrib>Stein, Frederike</creatorcontrib><creatorcontrib>Grabe, Hans J.</creatorcontrib><creatorcontrib>Völzke, Henry</creatorcontrib><creatorcontrib>Gotlib, Ian H.</creatorcontrib><creatorcontrib>Nenadić, Igor</creatorcontrib><creatorcontrib>Soares, Jair C.</creatorcontrib><creatorcontrib>Repple, Jonathan</creatorcontrib><creatorcontrib>Sim, Kang</creatorcontrib><creatorcontrib>Brosch, Katharina</creatorcontrib><creatorcontrib>Wittfeld, Katharina</creatorcontrib><creatorcontrib>Berger, Klaus</creatorcontrib><creatorcontrib>Hermesdorf, Marco</creatorcontrib><creatorcontrib>Portella, Maria J.</creatorcontrib><creatorcontrib>Sacchet, Matthew D.</creatorcontrib><creatorcontrib>Wu, Mon-Ju</creatorcontrib><creatorcontrib>Opel, Nils</creatorcontrib><creatorcontrib>Groenewold, Nynke A.</creatorcontrib><creatorcontrib>Gruber, Oliver</creatorcontrib><creatorcontrib>Fuentes-Claramonte, Paola</creatorcontrib><creatorcontrib>Salvador, Raymond</creatorcontrib><creatorcontrib>Goya-Maldonado, Roberto</creatorcontrib><creatorcontrib>Sarró, Salvador</creatorcontrib><creatorcontrib>Poletti, Sara</creatorcontrib><creatorcontrib>Meinert, Susanne L.</creatorcontrib><creatorcontrib>Kircher, Tilo</creatorcontrib><creatorcontrib>Dannlowski, Udo</creatorcontrib><creatorcontrib>Pozzi, Elena</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>APA PsycArticles®</collection><collection>ProQuest One Psychology</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of psychopathology and clinical science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Whittle, Sarah</au><au>Rakesh, Divyangana</au><au>Schmaal, Lianne</au><au>Veltman, Dick J.</au><au>Thompson, Paul M.</au><au>Singh, Aditya</au><au>Gonul, Ali Saffet</au><au>Aleman, Andre</au><au>Uyar Demir, Aslıhan</au><au>Krug, Axel</au><au>Mwangi, Benson</au><au>Krämer, Bernd</au><au>Baune, Bernhard T.</au><au>Stein, Dan J.</au><au>Grotegerd, Dominik</au><au>Pomarol-Clotet, Edith</au><au>Rodríguez-Cano, Elena</au><au>Melloni, Elisa</au><au>Benedetti, Francesco</au><au>Stein, Frederike</au><au>Grabe, Hans J.</au><au>Völzke, Henry</au><au>Gotlib, Ian H.</au><au>Nenadić, Igor</au><au>Soares, Jair C.</au><au>Repple, Jonathan</au><au>Sim, Kang</au><au>Brosch, Katharina</au><au>Wittfeld, Katharina</au><au>Berger, Klaus</au><au>Hermesdorf, Marco</au><au>Portella, Maria J.</au><au>Sacchet, Matthew D.</au><au>Wu, Mon-Ju</au><au>Opel, Nils</au><au>Groenewold, Nynke A.</au><au>Gruber, Oliver</au><au>Fuentes-Claramonte, Paola</au><au>Salvador, Raymond</au><au>Goya-Maldonado, Roberto</au><au>Sarró, Salvador</au><au>Poletti, Sara</au><au>Meinert, Susanne L.</au><au>Kircher, Tilo</au><au>Dannlowski, Udo</au><au>Pozzi, Elena</au><au>MacDonald, Angus</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Role of Educational Attainment and Brain Morphology in Major Depressive Disorder: Findings From the ENIGMA Major Depressive Disorder Consortium</atitle><jtitle>Journal of psychopathology and clinical science</jtitle><addtitle>J Psychopathol Clin Sci</addtitle><date>2022-08</date><risdate>2022</risdate><volume>131</volume><issue>6</issue><spage>664</spage><epage>673</epage><pages>664-673</pages><issn>2769-7541</issn><eissn>2769-755X</eissn><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 SummaryFindings 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.</abstract><cop>United States</cop><pub>American Psychological Association</pub><pmid>35653754</pmid><doi>10.1037/abn0000738</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-7218-7810</orcidid><orcidid>https://orcid.org/0000-0001-5557-1562</orcidid><orcidid>https://orcid.org/0000-0001-8360-5571</orcidid><orcidid>https://orcid.org/0000-0002-0526-8095</orcidid><orcidid>https://orcid.org/0000-0002-1145-9103</orcidid><orcidid>https://orcid.org/0000-0002-0865-8427</orcidid><orcidid>https://orcid.org/0000-0003-3145-1528</orcidid><orcidid>https://orcid.org/0000-0002-6742-8373</orcidid><orcidid>https://orcid.org/0000-0002-0540-8027</orcidid><orcidid>https://orcid.org/0000-0002-0623-3759</orcidid><orcidid>https://orcid.org/0000-0002-4720-8867</orcidid><orcidid>https://orcid.org/0000-0003-4383-5043</orcidid><orcidid>https://orcid.org/0000-0003-1835-2189</orcidid><orcidid>https://orcid.org/0000-0001-8966-3684</orcidid><orcidid>https://orcid.org/0000-0003-4949-856X</orcidid><orcidid>https://orcid.org/0000-0002-8529-2086</orcidid><orcidid>https://orcid.org/0000-0001-9594-0246</orcidid><orcidid>https://orcid.org/0000-0003-3522-1359</orcidid><orcidid>https://orcid.org/0000-0001-8971-4250</orcidid><orcidid>https://orcid.org/0000-0002-8159-8563</orcidid><orcidid>https://orcid.org/0000-0002-0539-7129</orcidid><orcidid>https://orcid.org/0000-0002-0564-2497</orcidid><orcidid>https://orcid.org/0000-0001-7003-399X</orcidid><orcidid>https://orcid.org/0000-0002-5052-6022</orcidid><orcidid>https://orcid.org/0000-0003-1379-9491</orcidid><orcidid>https://orcid.org/0000-0002-2514-2625</orcidid><orcidid>https://orcid.org/0000-0002-0856-4260</orcidid><orcidid>https://orcid.org/0000-0002-1428-7976</orcidid><orcidid>https://orcid.org/0000-0001-8718-0128</orcidid><orcidid>https://orcid.org/0000-0001-9822-048X</orcidid><orcidid>https://orcid.org/0000-0002-0749-7473</orcidid><orcidid>https://orcid.org/0000-0001-6548-426X</orcidid><orcidid>https://orcid.org/0000-0002-3622-3199</orcidid><orcidid>https://orcid.org/0000-0003-3209-9626</orcidid><orcidid>https://orcid.org/0000-0003-4749-3298</orcidid><orcidid>https://orcid.org/0000-0002-1717-4395</orcidid><orcidid>https://orcid.org/0000-0002-5466-5628</orcidid><orcidid>https://orcid.org/0000-0003-3684-4208</orcidid><orcidid>https://orcid.org/0000-0003-3541-7212</orcidid><orcidid>https://orcid.org/0000-0002-2007-9516</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2769-7541 |
ispartof | Journal of psychopathology and clinical science, 2022-08, Vol.131 (6), p.664-673 |
issn | 2769-7541 2769-755X |
language | eng |
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source | Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; EBSCOhost APA PsycARTICLES |
subjects | Adult Brain - diagnostic imaging Brain Size Brain structure Cognitive functioning Cortex Depressive Disorder, Major - diagnostic imaging Depressive personality disorders Educational attainment Educational Attainment Level Educational Status Female Frontal Lobe Human Humans Magnetic Resonance Imaging Major Depression Male Mental depression Moderation Morphology Neuroanatomy Socioeconomic Status Susceptibility Susceptibility (Disorders) |
title | The Role of Educational Attainment and Brain Morphology in Major Depressive Disorder: Findings From the ENIGMA Major Depressive Disorder Consortium |
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