| Literature DB >> 32634220 |
Rachel Upthegrove1, Paris Lalousis1, Pavan Mallikarjun1, Katharine Chisholm1,2, Sian Lowri Griffiths1, Mariam Iqbal1, Mirabel Pelton1, Renate Reniers1,3, Alexandra Stainton4,5, Marlene Rosen6, Anne Ruef6, Dominic B Dwyer6, Marian Surman7, Theresa Haidl8, Nora Penzel8, Lana Kambeitz-Llankovic6,8, Alessandro Bertolino9, Paolo Brambilla10,11, Stefan Borgwardt12, Joseph Kambeitz8, Rebekka Lencer7,13, Christos Pantelis14, Stephan Ruhrmann8, Frauke Schultze-Lutter15, Raimo K R Salokangas16, Eva Meisenzahl15, Stephen J Wood1,4,5, Nikolaos Koutsouleris6.
Abstract
Depression frequently occurs in first-episode psychosis (FEP) and predicts longer-term negative outcomes. It is possible that this depression is seen primarily in a distinct subgroup, which if identified could allow targeted treatments. We hypothesize that patients with recent-onset psychosis (ROP) and comorbid depression would be identifiable by symptoms and neuroanatomical features similar to those seen in recent-onset depression (ROD). Data were extracted from the multisite PRONIA study: 154 ROP patients (FEP within 3 months of treatment onset), of whom 83 were depressed (ROP+D) and 71 who were not depressed (ROP-D), 146 ROD patients, and 265 healthy controls (HC). Analyses included a (1) principal component analysis that established the similar symptom structure of depression in ROD and ROP+D, (2) supervised machine learning (ML) classification with repeated nested cross-validation based on depressive symptoms separating ROD vs ROP+D, which achieved a balanced accuracy (BAC) of 51%, and (3) neuroanatomical ML-based classification, using regions of interest generated from ROD subjects, which identified BAC of 50% (no better than chance) for separation of ROP+D vs ROP-D. We conclude that depression at a symptom level is broadly similar with or without psychosis status in recent-onset disorders; however, this is not driven by a separable depressed subgroup in FEP. Depression may be intrinsic to early stages of psychotic disorder, and thus treating depression could produce widespread benefit.Entities:
Keywords: depression; gray matter volume; machine learning; psychopathology; psychosis; schizophrenia
Year: 2021 PMID: 32634220 PMCID: PMC7825071 DOI: 10.1093/schbul/sbaa094
Source DB: PubMed Journal: Schizophr Bull ISSN: 0586-7614 Impact factor: 9.306