Literature DB >> 29397190

Neural correlates of sine-wave speech intelligibility in human frontal and temporal cortex.

Sattar Khoshkhoo1, Matthew K Leonard2, Nima Mesgarani3, Edward F Chang4.   

Abstract

Auditory speech comprehension is the result of neural computations that occur in a broad network that includes the temporal lobe auditory cortex and the left inferior frontal cortex. It remains unclear how representations in this network differentially contribute to speech comprehension. Here, we recorded high-density direct cortical activity during a sine-wave speech (SWS) listening task to examine detailed neural speech representations when the exact same acoustic input is comprehended versus not comprehended. Listeners heard SWS sentences (pre-exposure), followed by clear versions of the same sentences, which revealed the content of the sounds (exposure), and then the same SWS sentences again (post-exposure). Across all three task phases, high-gamma neural activity in the superior temporal gyrus was similar, distinguishing different words based on bottom-up acoustic features. In contrast, frontal regions showed a more pronounced and sudden increase in activity only when the input was comprehended, which corresponded with stronger representational separability among spatiotemporal activity patterns evoked by different words. We observed this effect only in participants who were not able to comprehend the stimuli during the pre-exposure phase, indicating a relationship between frontal high-gamma activity and speech understanding. Together, these results demonstrate that both frontal and temporal cortical networks are involved in spoken language understanding, and that under certain listening conditions, frontal regions are involved in discriminating speech sounds.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Auditory; Comprehension; Electrocorticography; Language; Perception; Sine-wave speech; Speech

Mesh:

Year:  2018        PMID: 29397190      PMCID: PMC6067983          DOI: 10.1016/j.bandl.2018.01.007

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


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