TY  - JOUR
A1  - Förstner, Bernd R.
A1  - Tschorn, Mira
A1  - Reinoso-Schiller, Nicolas
A1  - Maričić, Lea Mascarell
A1  - Röcher, Erik
A1  - Kalman, Janos L.
A1  - Stroth, Sanna
A1  - Mayer, Annalina V.
A1  - Schwarz, Kristina
A1  - Kaiser, Anna
A1  - Pfennig, Andrea
A1  - Manook, André
A1  - Ising, Marcus
A1  - Heinig, Ingmar
A1  - Pittig, Andre
A1  - Heinz, Andreas
A1  - Mathiak, Klaus
A1  - Schulze, Thomas G.
A1  - Schneider, Frank
A1  - Kamp-Becker, Inge
A1  - Meyer-Lindenberg, Andreas
A1  - Padberg, Frank
A1  - Banaschewski, Tobias
A1  - Bauer, Michael
A1  - Rupprecht, Rainer
A1  - Wittchen, Hans-Ulrich
A1  - Rapp, Michael A.
T1  - Mapping research domain criteria using a transdiagnostic mini-RDoC assessment in mental disorders: a confirmatory factor analysis
T2  - European archives of psychiatry and clinical neuroscience
N2  - 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.
KW  - Diagnosis and classification
KW  - Research Domain Criteria
KW  - PD-CAN
KW  - Confirmatory factor analysis CFA
KW  - RDoC
KW  - Transdiagnostic
Y1  - 2022
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/64809
SN  - 0940-1334
SN  - 1433-8491
VL  - 273
IS  - 3
SP  - 527
EP  - 539
PB  - Springer Nature
CY  - Heidelberg
ER  -