Popovic, David ORCID: 0000-0002-2367-9437, Ruef, Anne, Dwyer, Dominic B., Antonucci, Linda A., Eder, Julia, Sanfelici, Rachele, Kambeitz-Ilankovic, Lana, Oztuerk, Omer Faruk, Dong, Mark S., Paul, Riya, Paolini, Marco, Hedderich, Dennis, Haidl, Theresa, Kambeitz, Joseph, Ruhrmann, Stephan, Chisholm, Katharine ORCID: 0000-0002-0575-0789, Schultze-Lutter, Frauke, Falkai, Peter ORCID: 0000-0003-2873-8667, Pergola, Giulio, Blasi, Giuseppe, Bertolino, Alessandro, Lencer, Rebekka, Dannlowski, Udo, Upthegrove, Rachel ORCID: 0000-0001-8204-5103, Salokangas, Raimo K. R., Pantelis, Christos, Meisenzahl, Eva, Wood, Stephen J., Brambilla, Paolo, Borgwardt, Stefan and Koutsouleris, Nikolaos (2020). Traces of Trauma: A Multivariate Pattern Analysis of Childhood Trauma, Brain Structure, and Clinical Phenotypes. Biol. Psychiatry, 88 (11). S. 829 - 843. NEW YORK: ELSEVIER SCIENCE INC. ISSN 1873-2402

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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 multivariate sparse partial least squares analysis to detect parsimonious associations between combinations of items from the Childhood Trauma Questionnaire and gray matter volume and tested their generalizability via nested crossvalidation as well as via external validation. We investigated the associations of these CT signatures with state (functioning, depressivity, quality of life), trait (personality), and sociodemographic levels. RESULTS: We discovered signatures of age-dependent sexual abuse and sex-dependent physical and sexual abuse, as well as emotional trauma, which projected onto gray matter volume patterns in prefronto-cerebellar, limbic, and sensory networks. These signatures were associated with predominantly impaired clinical state- and trait-level phenotypes, while pointing toward an interaction between sexual abuse, age, urbanicity, and education. We validated the clinical profiles for all three CT signatures in the replication sample. CONCLUSIONS: Our results suggest distinct multilayered associations between partially age- and sex-dependent patterns of CT, distributed neuroanatomical networks, and clinical profiles. Hence, our study highlights how machine learning approaches can shape future, more fine-grained CT research.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Popovic, DavidUNSPECIFIEDorcid.org/0000-0002-2367-9437UNSPECIFIED
Ruef, AnneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dwyer, Dominic B.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Antonucci, Linda A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Eder, JuliaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sanfelici, RacheleUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kambeitz-Ilankovic, LanaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Oztuerk, Omer FarukUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dong, Mark S.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Paul, RiyaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Paolini, MarcoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hedderich, DennisUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Haidl, TheresaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kambeitz, JosephUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ruhrmann, StephanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Chisholm, KatharineUNSPECIFIEDorcid.org/0000-0002-0575-0789UNSPECIFIED
Schultze-Lutter, FraukeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Falkai, PeterUNSPECIFIEDorcid.org/0000-0003-2873-8667UNSPECIFIED
Pergola, GiulioUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Blasi, GiuseppeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bertolino, AlessandroUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lencer, RebekkaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dannlowski, UdoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Upthegrove, RachelUNSPECIFIEDorcid.org/0000-0001-8204-5103UNSPECIFIED
Salokangas, Raimo K. R.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pantelis, ChristosUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Meisenzahl, EvaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wood, Stephen J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Brambilla, PaoloUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Borgwardt, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Koutsouleris, NikolaosUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-310475
DOI: 10.1016/j.biopsych.2020.05.020
Journal or Publication Title: Biol. Psychiatry
Volume: 88
Number: 11
Page Range: S. 829 - 843
Date: 2020
Publisher: ELSEVIER SCIENCE INC
Place of Publication: NEW YORK
ISSN: 1873-2402
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
QUALITY-OF-LIFE; PREFRONTAL CORTEX; INITIAL RELIABILITY; SCHIZOPHRENIA; MALTREATMENT; PERSONALITY; DEPRESSION; CEREBELLAR; PSYCHOSIS; COGNITIONMultiple languages
Neurosciences; PsychiatryMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/31047

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