Predictive processing accounts of psychosis: bottom-up or top-down disruptions

Abstract

Predictive processing has revolutionized cognitive neuroscience, offering a comprehensive computational framework for understanding normative behavior and psychiatric illness. This narrative Review evaluates the role of predictive processing in understanding psychosis, revisiting the seminal work of Sterzer and colleagues. It consolidates recent experimental evidence on the alteration of priors and sensory likelihoods across different stages of psychosis in an attempt to reconcile top-down (that is, overly precise priors/noisy sensations) and bottom-up (that is, noisy priors/overly precise sensations) accounts. It evaluates predictive processing alterations across the continuum of psychosis,..