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Förstner, Bernd R.; Tschorn, Mira; Reinoso-Schiller, Nicolas; Maričić, Lea Mascarell; Röcher, Erik; Kalman, Janos L.; Stroth, Sanna; Mayer, Annalina V.; Schwarz, Kristina; Kaiser, Anna; Pfennig, Andrea; Manook, André; Ising, Marcus; Heinig, Ingmar; Pittig, Andre; Heinz, Andreas; Mathiak, Klaus; Schulze, Thomas G.; Schneider, Frank; Kamp-Becker, Inge; Meyer-Lindenberg, Andreas; Padberg, Frank; Banaschewski, Tobias; Bauer, Michael; [...]

Mapping Research Domain Criteria using a transdiagnostic mini-RDoC assessment in mental disorders: a confirmatory factor analysis

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  • Medientyp: E-Artikel
  • Titel: Mapping Research Domain Criteria using a transdiagnostic mini-RDoC assessment in mental disorders: a confirmatory factor analysis
  • Beteiligte: Förstner, Bernd R.; Tschorn, Mira; Reinoso-Schiller, Nicolas; Maričić, Lea Mascarell; Röcher, Erik; Kalman, Janos L.; Stroth, Sanna; Mayer, Annalina V.; Schwarz, Kristina; Kaiser, Anna; Pfennig, Andrea; Manook, André; Ising, Marcus; Heinig, Ingmar; Pittig, Andre; Heinz, Andreas; Mathiak, Klaus; Schulze, Thomas G.; Schneider, Frank; Kamp-Becker, Inge; Meyer-Lindenberg, Andreas; Padberg, Frank; Banaschewski, Tobias; Bauer, Michael; [...]
  • Erschienen: Springer Science and Business Media LLC, 2023
  • Erschienen in: European Archives of Psychiatry and Clinical Neuroscience, 273 (2023) 3, Seite 527-539
  • Sprache: Englisch
  • DOI: 10.1007/s00406-022-01440-6
  • ISSN: 0940-1334; 1433-8491
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: AbstractThis 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.