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

Computational psychiatry (Cambridge, Mass.) Pub Date : 2024-10-30 eCollection Date: 2024-01-01 DOI:10.5334/cpsy.119
Anahita Khorrami Banaraki, Armin Toghi, Azar Mohammadzadeh
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引用次数: 0

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.

从预测处理的角度看 RDoC 框架:聚焦认知系统领域。
针对现行分类系统在将基础科学发现转化为临床应用方面存在的不足,美国国立卫生研究院(NIMH)提出了一个研究精神疾病的新框架,称为研究领域标准(RDoC)。该框架从多维度看待精神病理学,重点关注行为的功能领域及其实施神经回路。与此同时,预测处理(PP)框架作为人类大脑功能的领先理论,为大脑中各种类型的信息处理提供了统一的解释。虽然这两个框架都希望在病理生理学的基础上研究精神病理学,但它们之间的融合仍有待探索。在此,我们支持预测处理的解释能力,认为它是 RDoC 矩阵的基础,可以验证其构造,并就分子生物标志物与临床特征之间的机理相互作用提出可检验的假设。总之,预测性处理可作为实现 RDoC 框架目标的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.30
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审稿时长
17 weeks
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