Schizophrenia Research Under the Framework of Predictive Coding: Body, Language, and Others.

Abstract

While predictive coding offers a powerful framework for investigating schizophrenia, its therapeutic applications remain nascent. To facilitate a "therapy turn" in the field, this review establishes a model-oriented, operationalist, and comprehensive understanding of schizophrenia. We examine predictive coding models across key domains-embodiment, co-occurrence of over- and under-weighting priors, subjective time processing, language production and comprehension, self-other differentiation, and social interaction. Each model is linked to corresponding clinical impairments and manifestations in schizophrenia. Finally, we propose a roadmap for future research, outlining the rationale and methods for leveraging this framework to develop novel interventions. This article is categorized under: Psychology > Prediction Psychology > Brain Function and Dysfunction.