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

Medientyp: E-Artikel

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

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

Erschienen: April 2023

Sprache: Englisch

DOI: 10.1007/s00406-022-01440-6

Identifikator:

Schlagwörter: Confirmatory factor analysis CFA ; Diagnosis and classification ; PD-CAN ; RDoC ; Research Domain Criteria ; Transdiagnostic

Entstehung:

Anmerkungen: Online veröffentlicht: 01. Juli 2022

Beschreibung: 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.

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