Journal article

Traces of Trauma: A Multivariate Pattern Analysis of Childhood Trauma, Brain Structure, and Clinical Phenotypes

David Popovic, Anne Ruef, Dominic B Dwyer, Linda A Antonucci, Julia Eder, Rachele Sanfelici, Lana Kambeitz-Ilankovic, Omer Faruk Oztuerk, Mark S Dong, Riya Paul, Marco Paolini, Dennis Hedderich, Theresa Haidl, Joseph Kambeitz, Stephan Ruhrmann, Katharine Chisholm, Frauke Schultze-Lutter, Peter Falkai, Giulio Pergola, Giuseppe Blasi Show all

BIOLOGICAL PSYCHIATRY | ELSEVIER SCIENCE INC | Published : 2020

Abstract

BACKGROUND: Childhood trauma (CT) is a major yet elusive psychiatric risk factor, whose multidimensional conceptualization and heterogeneous effects on brain morphology might demand advanced mathematical modeling. Therefore, we present an unsupervised machine learning approach to characterize the clinical and neuroanatomical complexity of CT in a larger, transdiagnostic context. METHODS: We used a multicenter European cohort of 1076 female and male individuals (discovery: n = 649; replication: n = 427) comprising young, minimally medicated patients with clinical high-risk states for psychosis; patients with recent-onset depression or psychosis; and healthy volunteers. We employed multivariat..

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Grants

Awarded by National Health and Medical Research Council Senior Principal Research Fellowship


Awarded by European Union-National Health and Medical Research Council


Awarded by PRONIA - European Union under the 7th Framework Programme


Funding Acknowledgements

This work was supported by "Else-Kroner-Fresenius-Stiftung" through the Clinician Scientist Program "EKFS-Translational Psychiatry" (to DP and OFO); BMBF and the Max Planck Society (to RS); National Health and Medical Research Council Senior Principal Research Fellowship Grant Nos. 628386 (to CP) and 1105825 (to CP); European Union-National Health and Medical Research Council Grant No. 1075379 (to CP); PRONIA, a Collaborative Project funded by the European Union under the 7th Framework Programme Grant No. 602152 (to all contributing authors). The funding organizations were not involved in the design and conduct of the study; the collection, management, analysis, and interpretation of the data; the preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.