Unknown

Dataset Information

Pre- and post-target cortical processes predict speech-in-noise performance.


ABSTRACT: Understanding speech in noise (SiN) is a complex task that recruits multiple cortical subsystems. There is a variance in individuals' ability to understand SiN that cannot be explained by simple hearing profiles, which suggests that central factors may underlie the variance in SiN ability. Here, we elucidated a few cortical functions involved during a SiN task and their contributions to individual variance using both within- and across-subject approaches. Through our within-subject analysis of source-localized electroencephalography, we investigated how acoustic signal-to-noise ratio (SNR) alters cortical evoked responses to a target word across the speech recognition areas, finding stronger responses in left supramarginal gyrus (SMG, BA40 the dorsal lexicon area) with quieter noise. Throu

SUBMITTER: Kim S 

PROVIDER: S-EPMC8291856 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature