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The noise-resilient brain: Resting-state oscillatory activity predicts words-in-noise recognition

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Author Houweling Thomas, Becker Robert, Hervais-Adelman Alexis,
Project Exploring audio-motor integration: a novel approach to overcoming hearing impairment
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Original article (peer-reviewed)

Journal Brain and Language
Volume (Issue) 202
Page(s) 104727 - 104727
Title of proceedings Brain and Language
DOI 10.1016/j.bandl.2019.104727

Abstract

The role of neuronal oscillations in the processing of speech has recently come to prominence. Since resting-state (RS) brain activity has been shown to predict both task-related brain activation and behavioural performance, we set out to establish whether inter-individual differences in spectrally-resolved RS-MEG power are associated with variations in words-in-noise recognition in a sample of 88 participants made available by the Human Connectome Project. Positive associations with resilience to noise were observed with power in the range 21 and 29 Hz in a number of areas along the left temporal gyrus and temporo-parietal association areas peaking in left posterior superior temporal gyrus (pSTG). Significant associations were also found in the right posterior superior temporal gyrus in the frequency range 30–40 Hz. We propose that individual differences in words-in-noise performance are related to baseline excitability levels of the neural substrates of phonological processing.
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