Journal article
Dissecting heterogeneity in cortical thickness abnormalities in major depressive disorder: a large-scale ENIGMA MDD normative modelling study.
JMM Bayer, LS van Velzen, E Pozzi, C Davey, LKM Han, SEEC Bauduin, J Bauer, F Benedetti, K Berger, LM Bonnekoh, K Brosch, R Bülow, B Couvy-Duchesne, KR Cullen, U Dannlowski, D Dima, K Dohm, JW Evans, CHY Fu, P Fuentes-Claramonte Show all
bioRxiv | Published : 2025
Abstract
IMPORTANCE: Major depressive disorder (MDD) is highly heterogeneous, with marked individual differences in clinical presentation and neurobiology, which may obscure identification of structural brain abnormalities in MDD. To explore this, we used normative modeling to index regional patterns of variability in cortical thickness (CT) across individual patients. OBJECTIVE: To use normative modeling in a large dataset from the ENIGMA MDD consortium to obtain individualised CT deviations from the norm (relative to age, sex and site) and examine the relationship between these deviations and clinical characteristics. DESIGN SETTING AND PARTICIPANTS: A normative model adjusting for age, sex and sit..
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Awarded by NIMH NIH HHS
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Awarded by NCATS NIH HHS
Awarded by Intramural NIH HHS
Awarded by NCCIH NIH HHS
Awarded by NIBIB NIH HHS