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Summary
This summary is machine-generated.

This study shows that auditory brainstem response (ABR) temporal response functions (TRFs) change with speech intensity. These findings support using natural speech for hearing assessments of subcortical brain activity.

Keywords:
audiologydeconvolutionneural speech trackingneuroimagingpiecewise linear model

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Area of Science:

  • Neuroscience
  • Auditory Neuroscience
  • Signal Processing

Background:

  • Auditory Brainstem Response (ABR) measures subcortical activity using electroencephalography (EEG).
  • Wave V peak in ABR is crucial for clinical hearing assessment and intensity-dependent.
  • Current methods use unnatural stimuli; natural speech stimuli offer ecological relevance.

Purpose of the Study:

  • To develop methods for estimating level-dependent subcortical TRFs from continuous speech.
  • To investigate if TRF waveforms change with stimulus intensity for natural speech.
  • To validate the use of natural speech for hearing assessments involving subcortical responses.

Main Methods:

  • Collected EEG data from 21 participants listening to continuous speech at 4 intensity levels.
  • Developed methods to estimate level-dependent subcortical TRFs using linear deconvolution.
  • Evaluated peripheral auditory models, with gammatone filterbanks performing best.

Main Results:

  • Level-dependent changes in subcortical TRF wave V peaks were detected in most participants.
  • These changes align with intensity-dependent shifts observed in click-ABR.
  • Approximately 6 minutes of data may suffice for detecting effects at higher intensities.

Conclusions:

  • Subcortical TRFs exhibit intensity-dependent characteristics with natural speech.
  • Simple gammatone filterbanks are suitable predictors for level-dependent subcortical TRFs.
  • Level-dependent subcortical TRFs can be detected even with natural speech intensity fluctuations.