Disentangling predictive processing in the brain: a meta-analytic study in favour of a predictive network.

ABSTRACT: According to the predictive coding (PC) theory, the brain is constantly engaged in predicting its upcoming states and refining these predictions through error signals. Despite extensive research investigating the neural bases of this theory, to date no previous study has systematically attempted to define the neural mechanisms of predictive coding across studies and sensory channels, focussing on functional connectivity. In this study, we employ a coordinate-based meta-analytical approach to address this issue. We first use the Activation Likelihood Estimation (ALE) algorithm to detect spatial convergence across studies, related to prediction error and encoding. Overall, our ALE results suggest the ultimate role of the left inferior frontal gyrus and left insula in both processes. Moreover

SUBMITTER: Ficco L 

PROVIDER: S-EPMC8355157 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature