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The Noise-Resilient Brain: Resting-State Oscillatory Activity Predicts Words-In-Noise Recognition

View ORCID ProfileThomas Houweling, View ORCID ProfileRobert Becker, View ORCID ProfileAlexis Hervais-Adelman
doi: https://doi.org/10.1101/705053
Thomas Houweling
aNeurolinguistics, Department of Psychology, University of Zürich, Binzmühlestrasse 14, 8050, Zürich, Switzerland
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  • For correspondence: thomas.houweling@uzh.ch
Robert Becker
aNeurolinguistics, Department of Psychology, University of Zürich, Binzmühlestrasse 14, 8050, Zürich, Switzerland
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Alexis Hervais-Adelman
aNeurolinguistics, Department of Psychology, University of Zürich, Binzmühlestrasse 14, 8050, Zürich, Switzerland
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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 speech in noise recognition. In a frequency range between 21 and 29 Hz, significant positive correlations were observed between voxelwise power and resilience to noise in a large left-lateralised perisylvian cluster spanning from inferior frontal gyrus to temporo-parietal junction and peaking in left posterior superior temporal gyrus (pSTG). Smaller areas of association were also found around the right pSTG (21-29Hz) and bilateral pSTG (30-40Hz). These findings are spatially and spectrally consistent with the neural substrates of phonological processing. We propose that increased RS power in auditory cortices and the left perisylvian region can partly explain improved resilience to noise.

Highlights

  • Power of resting MEG activity predicts Words-In-Noise recognition performance

  • Significant associations in higher beta and lower gamma frequency band

  • Strongest in left-lateralised perisylvian cluster peaking in posterior STG

  • Effects are spectrally and spatially consistent with phoneme-level processing

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted July 16, 2019.
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The Noise-Resilient Brain: Resting-State Oscillatory Activity Predicts Words-In-Noise Recognition
Thomas Houweling, Robert Becker, Alexis Hervais-Adelman
bioRxiv 705053; doi: https://doi.org/10.1101/705053
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The Noise-Resilient Brain: Resting-State Oscillatory Activity Predicts Words-In-Noise Recognition
Thomas Houweling, Robert Becker, Alexis Hervais-Adelman
bioRxiv 705053; doi: https://doi.org/10.1101/705053

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