Abstract

Low‐ and high‐frequency cortical oscillations play an important role in speech processing. Low‐frequency neural oscillations in the delta (<4 Hz) and theta (4–8 Hz) bands entrain to the prosodic and syllabic rates of speech, respectively. Theta band neural oscillations modulate high‐frequency neural oscillations in the gamma band (28−40 Hz), which have been hypothesized to be crucial for processing phonemes in natural speech. Since speech rate is known to vary considerably, both between and within talkers, it has yet to be determined whether this nested gamma response reflects an externally induced rhythm sensitive to the rate of the fine‐grained structure of the input or a speech rate−independent endogenous response. Here, we recorded magnetoencephalography responses from participants listening to a speech delivered at different rates: decelerated, normal, and accelerated. We found that the phase of theta band oscillations in left and right auditory regions adjusts to speech rate variations. Importantly, we showed that the peak of the gamma response—coupled to the phase of theta—follows the speech rate. This indicates that gamma activity in auditory regions synchronizes with the fine‐grain properties of speech, possibly reflecting detailed acoustic analysis of the input.

Highlights

  • Recent experimental and theoretical advances in neuroscience support the idea that cortical temporal sampling plays a key role in speech processing.[1,2,3] it is proposed that oscillatory activity in the auditory cortex (AC) aligns with the temporal structure of an external rhythmic auditory input optimizing sensory processing

  • Why does low-frequency entrainment impact the “phonemic disambiguation” effect observed by these authors? Our data suggest that theta band oscillatory activity has a direct influence on high-frequency phonemic processing, through hierarchical cross-frequency phase−amplitude coupling (PAC)

  • We bring new evidence concerning the nature of gamma auditory activity during natural speech listening and reveal its fine-grained adaptive nature, by focusing on oscillatory patterns of neuronal activity reconstructed in the AC

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Summary

Introduction

Recent experimental and theoretical advances in neuroscience support the idea that cortical temporal sampling plays a key role in speech processing.[1,2,3] it is proposed that oscillatory activity in the auditory cortex (AC) aligns with the temporal structure of an external rhythmic auditory input optimizing sensory processing.

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