Neural Correlates of Early Sound Encoding and their Relationship to Speech-in-Noise Perception. 2017

Emily B J Coffey, and Alexander M P Chepesiuk, and Sibylle C Herholz, and Sylvain Baillet, and Robert J Zatorre
Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill UniversityMontréal, QC, Canada.

Speech-in-noise (SIN) perception is a complex cognitive skill that affects social, vocational, and educational activities. Poor SIN ability particularly affects young and elderly populations, yet varies considerably even among healthy young adults with normal hearing. Although SIN skills are known to be influenced by top-down processes that can selectively enhance lower-level sound representations, the complementary role of feed-forward mechanisms and their relationship to musical training is poorly understood. Using a paradigm that minimizes the main top-down factors that have been implicated in SIN performance such as working memory, we aimed to better understand how robust encoding of periodicity in the auditory system (as measured by the frequency-following response) contributes to SIN perception. Using magnetoencephalograpy, we found that the strength of encoding at the fundamental frequency in the brainstem, thalamus, and cortex is correlated with SIN accuracy. The amplitude of the slower cortical P2 wave was previously also shown to be related to SIN accuracy and FFR strength; we use MEG source localization to show that the P2 wave originates in a temporal region anterior to that of the cortical FFR. We also confirm that the observed enhancements were related to the extent and timing of musicianship. These results are consistent with the hypothesis that basic feed-forward sound encoding affects SIN perception by providing better information to later processing stages, and that modifying this process may be one mechanism through which musical training might enhance the auditory networks that subserve both musical and language functions.

UI MeSH Term Description Entries

Related Publications

Emily B J Coffey, and Alexander M P Chepesiuk, and Sibylle C Herholz, and Sylvain Baillet, and Robert J Zatorre
September 2011, Journal of cognitive neuroscience,
Emily B J Coffey, and Alexander M P Chepesiuk, and Sibylle C Herholz, and Sylvain Baillet, and Robert J Zatorre
March 2018, The Journal of the Acoustical Society of America,
Emily B J Coffey, and Alexander M P Chepesiuk, and Sibylle C Herholz, and Sylvain Baillet, and Robert J Zatorre
April 2010, The Journal of neuroscience : the official journal of the Society for Neuroscience,
Emily B J Coffey, and Alexander M P Chepesiuk, and Sibylle C Herholz, and Sylvain Baillet, and Robert J Zatorre
May 1999, Neuroreport,
Emily B J Coffey, and Alexander M P Chepesiuk, and Sibylle C Herholz, and Sylvain Baillet, and Robert J Zatorre
June 2010, Trends in amplification,
Emily B J Coffey, and Alexander M P Chepesiuk, and Sibylle C Herholz, and Sylvain Baillet, and Robert J Zatorre
December 2010, Hearing research,
Emily B J Coffey, and Alexander M P Chepesiuk, and Sibylle C Herholz, and Sylvain Baillet, and Robert J Zatorre
January 2005, NeuroImage,
Emily B J Coffey, and Alexander M P Chepesiuk, and Sibylle C Herholz, and Sylvain Baillet, and Robert J Zatorre
December 2012, Brain and language,
Emily B J Coffey, and Alexander M P Chepesiuk, and Sibylle C Herholz, and Sylvain Baillet, and Robert J Zatorre
May 2011, Seminars in hearing,
Emily B J Coffey, and Alexander M P Chepesiuk, and Sibylle C Herholz, and Sylvain Baillet, and Robert J Zatorre
August 2023, PsyCh journal,
Copied contents to your clipboard!