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Dataset Information

Improved emotion differentiation under reduced acoustic variability of speech in autism.


ABSTRACT:

Background

Socio-emotional impairments are among the diagnostic criteria for autism spectrum disorder (ASD), but the actual knowledge has substantiated both altered and intact emotional prosodies recognition. Here, a Bayesian framework of perception is considered suggesting that the oversampling of sensory evidence would impair perception within highly variable environments. However, reliable hierarchical structures for spectral and temporal cues would foster emotion discrimination by autistics.

Methods

Event-related spectral perturbations (ERSP) extracted from electroencephalographic (EEG) data indexed the perception of anger, disgust, fear, happiness, neutral, and sadness prosodies while listening to speech uttered by (a) human or (b) synthesized voices characterized by re

SUBMITTER: Duville MM 

PROVIDER: S-EPMC10941423 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature