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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Veröffentlicht in:Journal of psychopathology and clinical science 2022-08, Vol.131 (6), p.664-673
Hauptverfasser: 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
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container_issue 6
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container_title Journal of psychopathology and clinical science
container_volume 131
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
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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><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 &amp; 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>
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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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