Tutorial  |   December 2011
Cortical High-Gamma Responses in Auditory Processing
 
Author Affiliations & Notes
  • Mackenzie C. Cervenka
    Johns Hopkins School of Medicine, Baltimore, MD
  • Stephanie Nagle
    Towson University, Towson, MD
  • Dana Boatman-Reich
    Johns Hopkins School of Medicine, Baltimore, MD
  • Correspondence to Dana Boatman-Reich: dboatma@jhmi.edu
  • Editor: Robert Schlauch (Journal of Speech, Language, and Hearing Research)
    Editor: Robert Schlauch (Journal of Speech, Language, and Hearing Research)×
  • Associate Editor: Carolyn Brown
    Associate Editor: Carolyn Brown×
  • © 2011 American Speech-Language-Hearing AssociationAmerican Speech-Language-Hearing Association
Article Information
Hearing & Speech Perception / Tutorial
Tutorial   |   December 2011
Cortical High-Gamma Responses in Auditory Processing
American Journal of Audiology, December 2011, Vol. 20, 171-180. doi:10.1044/1059-0889(2011/10-0036)
History: Received September 3, 2010 , Revised June 16, 2011 , Accepted August 29, 2011
 
American Journal of Audiology, December 2011, Vol. 20, 171-180. doi:10.1044/1059-0889(2011/10-0036)
History: Received September 3, 2010; Revised June 16, 2011; Accepted August 29, 2011
Web of Science® Times Cited: 4

Purpose: This tutorial provides an introduction to cortical auditory spectral responses, focusing on event-related activity in the high-gamma frequencies (60–150 Hz), their recent emergence in neuroscience research, and potential clinical applications.

Method: Auditory high-gamma responses are described and compared with traditional cortical evoked responses, including the auditory evoked N1 response. Methods for acquiring and analyzing spectral responses, including time-frequency analyses, are discussed and contrasted with more familiar time-domain averaging approaches. Four cases are presented illustrating high-gamma response patterns associated with normal and impaired auditory processing.

Conclusions: Cortical auditory high-gamma responses may provide a useful clinical measure of auditory processing.

Acknowledgments
This work was supported by National Institutes of Health Grants RO1-DC05645 and K24-DC010028. Special thanks to Piotr Franaszczuk for assistance with the description of signal processing methods and to Sarah Colwell and Paras Bhatt for assistance with the figures.
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