Dataset Information

Interactive impact of childhood maltreatment, depression, and age on cortical brain structure: mega-analytic findings from a large multi-site cohort.

ABSTRACT:

Background

Childhood maltreatment (CM) plays an important role in the development of major depressive disorder (MDD). The aim of this study was to examine whether CM severity and type are associated with MDD-related brain alterations, and how they interact with sex and age.

Methods

Within the ENIGMA-MDD network, severity and subtypes of CM using the Childhood Trauma Questionnaire were assessed and structural magnetic resonance imaging data from patients with MDD and healthy controls were analyzed in a mega-analysis comprising a total of 3872 participants aged between 13 and 89 years. Cortical thickness and surface area were extracted at each site using FreeSurfer.

Results

CM severity was associated with reduced cortical thickness in the banks of the superior temporal sulcus and supramarginal gyrus as well as with reduced surface area of the middle temporal lobe. Participants reporting both childhood neglect and abuse had a lower cortical thickness in the inferior parietal lobe, middle temporal lobe, and precuneus compared to participants not exposed to CM. In males only, regardless of diagnosis, CM severity was associated with higher cortical thickness of the rostral anterior cingulate cortex. Finally, a significant interaction between CM and age in predicting thickness was seen across several prefrontal, temporal, and temporo-parietal regions.

Conclusions

Severity and type of CM may impact cortical thickness and surface area. Importantly, CM may influence age-dependent brain maturation, particularly in regions related to the default mode network, perception, and theory of mind.

SUBMITTER: Tozzi L

PROVIDER: S-EPMC9254722 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Publications

Interactive impact of childhood maltreatment, depression, and age on cortical brain structure: mega-analytic findings from a large multi-site cohort.

Tozzi Leonardo L Garczarek Lisa L Janowitz Deborah D Stein Dan J DJ Wittfeld Katharina K Dobrowolny Henrik H Lagopoulos Jim J Hatton Sean N SN Hickie Ian B IB Carballedo Angela A Brooks Samantha J SJ Vuletic Daniella D Uhlmann Anne A Veer Ilya M IM Walter Henrik H Bülow Robin R Völzke Henry H Klinger-König Johanna J Schnell Knut K Schoepf Dieter D Grotegerd Dominik D Opel Nils N Dannlowski Udo U Kugel Harald H Schramm Elisabeth E Konrad Carsten C Kircher Tilo T Jüksel Dilara D Nenadić Igor I Krug Axel A Hahn Tim T Steinsträter Olaf O Redlich Ronny R Zaremba Dario D Zurowski Bartosz B Fu Cynthia H Y CHY Dima Danai D Cole James J Grabe Hans J HJ Connolly Colm G CG Yang Tony T TT Ho Tiffany C TC LeWinn Kaja Z KZ Li Meng M Groenewold Nynke A NA Salminen Lauren E LE Walter Martin M Simmons Alan N AN van Erp Theo G M TGM Jahanshad Neda N Baune Bernhard T BT van der Wee Nic J A NJA van Tol Marie-Jose MJ Penninx Brenda W J H BWJH Hibar Derrek P DP Thompson Paul M PM Veltman Dick J DJ Schmaal Lianne L Frodl Thomas T

Psychological medicine 20190514 6

<h4>Background</h4>Childhood maltreatment (CM) plays an important role in the development of major depressive disorder (MDD). The aim of this study was to examine whether CM severity and type are associated with MDD-related brain alterations, and how they interact with sex and age.<h4>Methods</h4>Within the ENIGMA-MDD network, severity and subtypes of CM using the Childhood Trauma Questionnaire were assessed and structural magnetic resonance imaging data from patients with MDD and healthy contro ...[more]

PMID: 31084657

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Project description:Childhood maltreatment is associated with cognitive deficits that in turn have been predictive for therapeutic outcome in psychiatric patients. However, previous studies have either investigated maltreatment associations with single cognitive domains or failed to adequately control for confounders such as depression, socioeconomic environment, and genetic predisposition. We aimed to isolate the relationship between childhood maltreatment and dysfunction in diverse cognitive domains, while estimating the contribution of potential confounders to this relationship, and to investigate gene-environment interactions. We included 547 depressive disorder and 670 healthy control participants (mean age: 34.7 years, SD = 13.2). Cognitive functioning was assessed for the domains of working memory, executive functioning, processing speed, attention, memory, and verbal intelligence using neuropsychological tests. Childhood maltreatment and parental education were assessed using self-reports, and psychiatric diagnosis was based on DSM-IV criteria. Polygenic scores for depression and for educational attainment were calculated. Multivariate analysis of cognitive domains yielded significant associations with childhood maltreatment (η²p = 0.083, P < 0.001), depression (η²p = 0.097, P < 0.001), parental education (η²p = 0.085, P < 0.001), and polygenic scores for depression (η²p = 0.021, P = 0.005) and educational attainment (η²p = 0.031, P < 0.001). Each of these associations remained significant when including all of the predictors in one model. Univariate tests revealed that maltreatment was associated with poorer performance in all cognitive domains. Thus, environmental, psychopathological, and genetic risk factors each independently affect cognition. The insights of the current study may aid in estimating the potential impact of different loci of interventions for cognitive dysfunction. Future research should investigate if customized interventions, informed by individual risk profiles and related cognitive preconditions, might enhance response to therapeutic treatments.

Dataset Information

Interactive impact of childhood maltreatment, depression, and age on cortical brain structure: mega-analytic findings from a large multi-site cohort.

Background

Methods

Results

Conclusions

Publications

Interactive impact of childhood maltreatment, depression, and age on cortical brain structure: mega-analytic findings from a large multi-site cohort.

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