A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
The non-specific nature of mental health and structural brain outcomes following childhood trauma
Tekijät: Haidl Theresa K., Hedderich Dennis M., Rosen Marlene, Kaiser Nathalie, Seves Mauro, Lichtenstein Thorsten, Penzel Nora, Wenzel Julian, Kambeitz-Ilankovic Lana, Ruef Anne, Popovic David, Schultze-Lutter Frauke, Chisholm Katharine, Upthegrove Rachel, Salokangas Raimo K.R., Pantelis Christos, Meisenzahl Eva, Wood Stephen J., Brambilla Paolo, Borgwardt Stefan, Ruhrmann Stephan, Kambeitz Joseph, Koutsouleris Nikolaos
Kustantaja: Cambridge University Press
Julkaisuvuosi: 2023
Journal: Psychological Medicine
Tietokannassa oleva lehden nimi: Psychological Medicine
Vuosikerta: 53
Numero: 3
Aloitussivu: 1005
Lopetussivu: 1014
eISSN: 1469-8978
DOI: https://doi.org/10.1017/S0033291721002439
Verkko-osoite: https://doi.org/10.1017/S0033291721002439
Background
Childhood trauma (CT) is associated with an increased risk of mental health disorders; however, it is unknown whether this represents a diagnosis-specific risk factor for specific psychopathology mediated by structural brain changes. Our aim was to explore whether (i) a predictive CT pattern for transdiagnostic psychopathology exists, and whether (ii) CT can differentiate between distinct diagnosis-dependent psychopathology. Furthermore, we aimed to identify the association between CT, psychopathology and brain structure.
Methods
We used multivariate pattern analysis in data from 643 participants of the Personalised Prognostic Tools for Early Psychosis Management study (PRONIA), including healthy controls (HC), recent onset psychosis (ROP), recent onset depression (ROD), and patients clinically at high-risk for psychosis (CHR). Participants completed structured interviews and self-report measures including the Childhood Trauma Questionnaire, SCID diagnostic interview, BDI-II, PANSS, Schizophrenia Proneness Instrument, Structured Interview for Prodromal Symptoms and structural MRI, analyzed by voxel-based morphometry.
Results
(i) Patients and HC could be distinguished by their CT pattern with a reasonable precision [balanced accuracy of 71.2% (sensitivity = 72.1%, specificity = 70.4%, p ≤ 0.001]. (ii) Subdomains ‘emotional neglect’ and ‘emotional abuse’ were most predictive for CHR and ROP, while in ROD ‘physical abuse’ and ‘sexual abuse’ were most important. The CT pattern was significantly associated with the severity of depressive symptoms in ROD, ROP, and CHR, as well as with the PANSS total and negative domain scores in the CHR patients. No associations between group-separating CT patterns and brain structure were found.
Conclusions
These results indicate that CT poses a transdiagnostic risk factor for mental health disorders, possibly related to depressive symptoms. While differences in the quality of CT exposure exist, diagnostic differentiation was not possible suggesting a multi-factorial pathogenesis.
