Banaraki Anahita Khorrami, Toghi Armin, Mohammadzadeh Azar
Institute for Cognitive Science Studies, Tehran, Iran.
Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran.
Comput Psychiatr. 2024 Oct 30;8(1):178-201. doi: 10.5334/cpsy.119. eCollection 2024.
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.
针对当前分类系统在将基础科学发现转化为临床应用方面的不足,美国国立精神卫生研究所(NIMH)提供了一个名为研究领域标准(RDoC)的研究心理健康障碍的新框架。该框架对精神病理学持多维度观点,侧重于行为的功能领域及其实施神经回路。与此同时,预测处理(PP)框架是人类大脑功能的主导理论,为大脑中各种类型的信息处理提供了统一的解释。虽然这两个框架都对基于病理生理学研究精神病理学感兴趣,但它们的整合仍有待探索。在此,我们主张PP的解释力可作为RDoC矩阵的基础,以验证其构建,并创建关于分子生物标志物与临床特征之间机制相互作用的可测试假设。总之,预测处理可以作为实现RDoC框架目标的基础。