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RDoC Framework Through the Lens of Predictive Processing: Focusing on Cognitive Systems Domain

Authors :
Anahita Khorrami Banaraki
Armin Toghi
Azar Mohammadzadeh
Source :
Computational Psychiatry, Vol 8, Iss 1, Pp 178–201-178–201 (2024)
Publication Year :
2024
Publisher :
Ubiquity Press, 2024.

Abstract

In response to shortcomings of the current classification system in translating discoveries from basic science to clinical applications, NIMH offers a new framework for studying mental health disorders called Research Domain Criteria (RDoC). This framework holds a multidimensional outlook on psychopathologies focusing on functional domains of behavior and their implementing neural circuits. In parallel, the Predictive Processing (PP) framework stands as a leading theory of human brain function, offering a unified explanation for various types of information processing in the brain. While both frameworks share an interest in studying psychopathologies based on pathophysiology, their integration still needs to be explored. Here, we argued in favor of the explanatory power of PP to be a groundwork for the RDoC matrix in validating its constructs and creating testable hypotheses about mechanistic interactions between molecular biomarkers and clinical traits. Together, predictive processing may serve as a foundation for achieving the goals of the RDoC framework.

Details

Language :
English
ISSN :
23796227
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Computational Psychiatry
Publication Type :
Academic Journal
Accession number :
edsdoj.1f59a92addcf445abf8822c1f9b1a305
Document Type :
article
Full Text :
https://doi.org/10.5334/cpsy.119