Representation of spectro-temporal features of spoken words within the P1-N1-P2 and T-complex of the auditory evoked potentials (AEP).

Monica Wagner, Arindam Roychoudhury, Luca Campanelli, Valerie L Shafer, Brett Martin, Mitchell Steinschneider
Author Information
  1. Monica Wagner: St John's University, Queens, NY, USA. Electronic address: wagnerm@stjohns.edu.
  2. Arindam Roychoudhury: Columbia University, New York, NY, USA.
  3. Luca Campanelli: The Graduate Center of the City University of New York, New York, NY, USA.
  4. Valerie L Shafer: The Graduate Center of the City University of New York, New York, NY, USA.
  5. Brett Martin: The Graduate Center of the City University of New York, New York, NY, USA.
  6. Mitchell Steinschneider: Albert Einstein College of Medicine, Bronx, NY, USA.

Abstract

The purpose of the study was to determine whether P1-N1-P2 and T-complex morphology reflect spectro-temporal features within spoken words that approximate the natural variation of a speaker and whether waveform morphology is reliable at group and individual levels, necessary for probing auditory deficits. The P1-N1-P2 and T-complex to the syllables /pət/ and /sət/ within 70 natural word productions each were examined. EEG was recorded while participants heard nonsense word pairs and performed a syllable identification task to the second word in the pairs. Single trial auditory evoked potentials (AEP) to the first words were analyzed. Results found P1-N1-P2 and T-complex to reflect spectral and temporal feature processing. Also, results identified preliminary benchmarks for single trial response variability for individual subjects for sensory processing between 50 and 600ms. P1-N1-P2 and T-complex, at least at group level, may serve as phenotypic signatures to identify deficits in spectro-temporal feature recognition and to determine area of deficit, the superior temporal plane or lateral superior temporal gyrus.

Keywords

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Grants

  1. R01 DC000657/NIDCD NIH HHS
  2. R01 HD046193/NICHD NIH HHS
  3. HD-46193/NICHD NIH HHS

MeSH Term

Acoustic Stimulation
Adult
Electroencephalography
Evoked Potentials, Auditory
Female
Humans
Language
Male
Speech Perception
Time Factors
Young Adult

Word Cloud

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