Foerstner, Bernd R. and Tschorn, Mira and Reinoso-Schiller, Nicolas and Maricic, Lea Mascarell and Roecher, Erik and Kalman, Janos L. and Stroth, Sanna and Mayer, Annalina V. and Schwarz, Kristina and Kaiser, Anna and Pfennig, Andrea and Manook, Andre and Ising, Marcus and Heinig, Ingmar and Pittig, Andre and Heinz, Andreas and Mathiak, Klaus and Schulze, Thomas G. and Schneider, Frank and Kamp-Becker, Inge and Meyer-Lindenberg, Andreas and Padberg, Frank and Banaschewski, Tobias and Bauer, Michael and Rupprecht, Rainer and Wittchen, Hans-Ulrich and Rapp, Michael A. (2023) Mapping Research Domain Criteria using a transdiagnostic mini-RDoC assessment in mental disorders: a confirmatory factor analysis. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE, 273. pp. 527-539. ISSN 0940-1334, 1433-8491
Full text not available from this repository. (Request a copy)Abstract
This study aimed to build on the relationship of well-established self-report and behavioral assessments to the latent constructs positive (PVS) and negative valence systems (NVS), cognitive systems (CS), and social processes (SP) of the Research Domain Criteria (RDoC) framework in a large transnosological population which cuts across DSM/ICD-10 disorder criteria categories. One thousand four hundred and thirty one participants (42.1% suffering from anxiety/fear-related, 18.2% from depressive, 7.9% from schizophrenia spectrum, 7.5% from bipolar, 3.4% from autism spectrum, 2.2% from other disorders, 18.4% healthy controls, and 0.2% with no diagnosis specified) recruited in studies within the German research network for mental disorders for the Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany (PD-CAN) were examined with a Mini-RDoC-Assessment including behavioral and self-report measures. The respective data was analyzed with confirmatory factor analysis (CFA) to delineate the underlying latent RDoC-structure. A revised four-factor model reflecting the core domains positive and negative valence systems as well as cognitive systems and social processes showed a good fit across this sample and showed significantly better fit compared to a one factor solution. The connections between the domains PVS, NVS and SP could be substantiated, indicating a universal latent structure spanning across known nosological entities. This study is the first to give an impression on the latent structure and intercorrelations between four core Research Domain Criteria in a transnosological sample. We emphasize the possibility of using already existing and well validated self-report and behavioral measurements to capture aspects of the latent structure informed by the RDoC matrix.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | CONSTRUCTS; FRAMEWORK; PSYCHOPATHOLOGY; SCHIZOPHRENIA; OPPORTUNITIES; ANHEDONIA; VERSION; Diagnosis and classification; Research Domain Criteria; PD-CAN; Confirmatory factor analysis CFA; RDoC; Transdiagnostic |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie |
| Depositing User: | Petra Gürster |
| Date Deposited: | 07 Sep 2023 12:20 |
| Last Modified: | 07 Sep 2023 12:20 |
| URI: | https://pred.uni-regensburg.de/id/eprint/58660 |
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