Lalousis, Paris Alexandros ORCID: 0000-0001-9642-3080, Schmaal, Lianne, Wood, Stephen J., Reniers, Renate L. E. P., Barnes, Nicholas M., Chisholm, Katharine ORCID: 0000-0002-0575-0789, Griffiths, Sian Lowri, Stainton, Alexandra ORCID: 0000-0002-4969-3122, Wen, Junhao, Hwang, Gyujoon, Davatzikos, Christos, Wenzel, Julian, Kambeitz-Ilankovic, Lana ORCID: 0000-0002-8218-0425, Andreou, Christina, Bonivento, Carolina, Dannlowski, Udo, Ferro, Adele, Lichtenstein, Theresa, Riecher-Rossler, Anita, Romer, Georg, Upthegrove, Rachel ORCID: 0000-0001-8204-5103, Lencer, Rebekka, Pantelis, Christos, Ruhrmann, Stephan ORCID: 0000-0002-6022-2364, Salokangas, Raimo K. R., Schultze-Lutter, Frauke, Schmidt, Andre, Meisenzahl, Eva, Koutsouleris, Nikolaos, Dwyer, Dominic ORCID: 0000-0003-3949-5867, Rosen, Marlene, Bertolino, Alessandro, Borgwardt, Stefan, Brambilla, Paolo and Kambeitz, Joseph (2022). Neurobiologically Based Stratification of Recent- Onset Depression and Psychosis: Identification of Two Distinct Transdiagnostic Phenotypes. Biol. Psychiatry, 92 (7). S. 552 - 563. NEW YORK: ELSEVIER SCIENCE INC. ISSN 1873-2402

Full text not available from this repository.

Abstract

BACKGROUND: Identifying neurobiologically based transdiagnostic categories of depression and psychosis may elucidate heterogeneity and provide better candidates for predictive modeling. We aimed to identify clusters across patients with recent-onset depression (ROD) and recent-onset psychosis (ROP) based on structural neuroimaging data. We hypothesized that these transdiagnostic clusters would identify patients with poor outcome and allow more accurate prediction of symptomatic remission than traditional diagnostic structures.METHODS: HYDRA (Heterogeneity through Discriminant Analysis) was trained on whole-brain volumetric measures from 577 participants from the discovery sample of the multisite PRONIA study to identify neurobiologically driven clusters, which were then externally validated in the PRONIA replication sample (n = 404) and three datasets of chronic samples (Centre for Biomedical Research Excellence, n = 146; Mind Clinical Imaging Consortium, n = 202; Munich, n = 470).RESULTS: The optimal clustering solution was two transdiagnostic clusters (cluster 1: n = 153, 67 ROP, 86 ROD; cluster 2: n = 149, 88 ROP, 61 ROD; adjusted Rand index = 0.618). The two clusters contained both patients with ROP and patients with ROD. One cluster had widespread gray matter volume deficits and more positive, negative, and functional deficits (impaired cluster), and one cluster revealed a more preserved neuroanatomical signature and more core depressive symptomatology (preserved cluster). The clustering solution was internally and externally validated and assessed for clinical utility in predicting 9-month symptomatic remission, outperforming traditional diagnostic structures.CONCLUSIONS: We identified two transdiagnostic neuroanatomically informed clusters that are clinically and bio-logically distinct, challenging current diagnostic boundaries in recent-onset mental health disorders. These results may aid understanding of the etiology of poor outcome patients transdiagnostically and improve development of stratified treatments.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Lalousis, Paris AlexandrosUNSPECIFIEDorcid.org/0000-0001-9642-3080UNSPECIFIED
Schmaal, LianneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wood, Stephen J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Reniers, Renate L. E. P.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Barnes, Nicholas M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Chisholm, KatharineUNSPECIFIEDorcid.org/0000-0002-0575-0789UNSPECIFIED
Griffiths, Sian LowriUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Stainton, AlexandraUNSPECIFIEDorcid.org/0000-0002-4969-3122UNSPECIFIED
Wen, JunhaoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hwang, GyujoonUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Davatzikos, ChristosUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wenzel, JulianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kambeitz-Ilankovic, LanaUNSPECIFIEDorcid.org/0000-0002-8218-0425UNSPECIFIED
Andreou, ChristinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bonivento, CarolinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dannlowski, UdoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ferro, AdeleUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lichtenstein, TheresaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Riecher-Rossler, AnitaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Romer, GeorgUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Upthegrove, RachelUNSPECIFIEDorcid.org/0000-0001-8204-5103UNSPECIFIED
Lencer, RebekkaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pantelis, ChristosUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ruhrmann, StephanUNSPECIFIEDorcid.org/0000-0002-6022-2364UNSPECIFIED
Salokangas, Raimo K. R.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schultze-Lutter, FraukeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schmidt, AndreUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Meisenzahl, EvaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Koutsouleris, NikolaosUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dwyer, DominicUNSPECIFIEDorcid.org/0000-0003-3949-5867UNSPECIFIED
Rosen, MarleneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bertolino, AlessandroUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Borgwardt, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Brambilla, PaoloUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kambeitz, JosephUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-695876
DOI: 10.1016/j.biopsych.2022.03.021
Journal or Publication Title: Biol. Psychiatry
Volume: 92
Number: 7
Page Range: S. 552 - 563
Date: 2022
Publisher: ELSEVIER SCIENCE INC
Place of Publication: NEW YORK
ISSN: 1873-2402
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
BIPOLAR-SCHIZOPHRENIA NETWORK; KRAEPELINIAN DICHOTOMY; PSYCHIATRIC-DISORDERS; DIAGNOSTIC STABILITY; PRIORITY PROBLEMS; MAJOR DEPRESSION; CLASSIFICATION; BIOMARKERS; RISK; DSMMultiple languages
Neurosciences; PsychiatryMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/69587

Downloads

Downloads per month over past year

Altmetric

Export

Actions (login required)

View Item View Item