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Related Experiment Video

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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
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Speech intelligibility changes the temporal evolution of neural speech tracking.

Ya-Ping Chen1, Fabian Schmidt1, Anne Keitel2

  • 1Centre for Cognitive Neuroscience, University of Salzburg, 5020 Salzburg, Austria; Department of Psychology, University of Salzburg, 5020 Salzburg, Austria.

Neuroimage
|January 24, 2023
PubMed
Summary

Neural speech tracking reveals how the brain processes degraded speech. Early responses (M50_TRF) increase with intelligibility loss, while later responses (M200_TRF, M350_TRF) decrease, clarifying temporal dynamics in speech comprehension.

Keywords:
CoherenceFOOOFMEGTemporal response functionVocoded speech

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Area of Science:

  • Neuroscience
  • Auditory Perception
  • Speech Processing

Background:

  • Listening to degraded speech is challenging.
  • Neural speech tracking aids understanding of brain processes and speech intelligibility.
  • Temporal dynamics of neural speech tracking and intelligibility remain unclear.

Purpose of the Study:

  • Investigate temporal dynamics of neural speech tracking in degraded speech.
  • Clarify the relationship between neural tracking and speech intelligibility.
  • Utilize temporal response functions (TRFs) and coherence spectra for comprehensive analysis.

Main Methods:

  • Employed magnetoencephalography (MEG) to record neural activity.
  • Applied temporal response functions (TRFs) to analyze speech tracking across intelligibility levels.
  • Analyzed speech envelope reconstruction, speech-brain coherence, and broadband coherence spectra.

Main Results:

  • Identified distinct temporal effects of speech degradation: M50_TRF (50-110 ms), M200_TRF (175-230 ms), and M350_TRF (315-380 ms).
  • Observed increased M50_TRF and decreased M200_TRF with reduced intelligibility.
  • Found M350_TRF peaked for comprehensible degraded speech, declining with further intelligibility loss.

Conclusions:

  • Time-resolved neural speech tracking is crucial for understanding degraded speech processing.
  • Decomposition of coherence spectra provides further insights into neural tracking mechanisms.
  • This study enhances comprehension of how the brain processes speech under challenging auditory conditions.