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Neural Entrainment Determines the Words We Hear.

Anne Kösem1, Hans Rutger Bosker2, Atsuko Takashima2

  • 1Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Radboud University, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, the Netherlands; Lyon Neuroscience Research Center (CRNL), Brain Dynamics and Cognition Team, INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Lyon, France.

Current Biology : CB
|September 11, 2018
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Summary

Neural oscillations create temporal predictions for speech, influencing how we perceive word duration and meaning. This study shows how brain rhythms actively shape speech perception.

Keywords:
MEGneural oscillationsrhythmspeechtemporal prediction

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Area of Science:

  • Neuroscience
  • Auditory Perception
  • Speech Processing

Background:

  • Low-frequency neural entrainment is a proposed mechanism for temporal sensory perception.
  • Neural entrainment is relevant for speech analysis but its causal role is unclear.
  • Understanding neural dynamics in speech processing is crucial.

Purpose of the Study:

  • To investigate the causal influence of neural entrainment on speech perception.
  • To examine how neural oscillations predict temporal speech features.
  • To determine if sustained neural entrainment affects perceived speech duration and meaning.

Main Methods:

  • Magnetoencephalography (MEG) was used to record neural activity.
  • Participants listened to sentences with varying speech rates.
  • Neural entrainment to speech rhythms and its persistence were analyzed.

Main Results:

  • Neural entrainment to speech rhythms persisted for several cycles after speech rate changes.
  • Sustained neural entrainment correlated with altered perception of word vowel duration.
  • Changes in perceived duration led to the perception of different word meanings.

Conclusions:

  • Neural oscillations actively generate temporal predictions about speech duration.
  • These predictions influence speech perception, affecting word meaning.
  • Findings support oscillatory models of speech processing and highlight the active role of neural oscillations.