Predictable information in neural signals during resting state is reduced in autism spectrum disorder.

ABSTRACT: The neurophysiological underpinnings of the nonsocial symptoms of autism spectrum disorder (ASD) which include sensory and perceptual atypicalities remain poorly understood. Well-known accounts of less dominant top-down influences and more dominant bottom-up processes compete to explain these characteristics. These accounts have been recently embedded in the popular framework of predictive coding theory. To differentiate between competing accounts, we studied altered information dynamics in ASD by quantifying predictable information in neural signals. Predictable information in neural signals measures the amount of stored information that is used for the next time step of a neural process. Thus, predictable information limits the (prior) information which might be available for other brain

SUBMITTER: Brodski-Guerniero A 

PROVIDER: S-EPMC6866422 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature