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Decoding spectrotemporal features of overt and covert speech from the human cortex.

Stéphanie Martin1, Peter Brunner2, Chris Holdgraf3

  • 1Helen Wills Neuroscience Institute, University of California Berkeley, CA, USA ; Department of Bioengineering, École Polytechnique Fédérale de Lausanne Lausanne, Switzerland.

Frontiers in Neuroengineering
|June 7, 2014
PubMed
Summary

Auditory perception and imagery share neural representations. Researchers reconstructed covert speech auditory features using models from overt speech, indicating shared brain substrates.

Keywords:
covert speechdecoding modelelectrocorticographypattern recognitionspeech production

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Area of Science:

  • Neuroscience
  • Auditory Perception
  • Speech Processing

Background:

  • Auditory perception and auditory imagery involve overlapping brain regions.
  • A common underlying neural representation for these phenomena is hypothesized.

Purpose of the Study:

  • To investigate shared neural representations between auditory perception and auditory imagery.
  • To determine if models of overt speech can reconstruct covert speech auditory features.

Main Methods:

  • Electrocorticography (ECoG) recordings from epileptic patients.
  • High gamma (70-150 Hz) neural decoding models to reconstruct auditory speech features.
  • Overt (aloud) and covert (silent) reading tasks, with a resting state control.

Main Results:

  • A neural decoding model built from overt speech successfully reconstructed auditory features of covert speech.
  • Reconstruction accuracy for covert speech was significantly better than for the control condition.
  • Superior temporal gyrus, pre- and post-central gyrus showed highest reconstruction information.

Conclusions:

  • Auditory representations of covert speech can be reconstructed using models derived from overt speech.
  • This supports a partially shared neural substrate for auditory perception and auditory imagery.
  • Anatomical relationships influence the reconstruction of overt and covert speech.