Voice discrimination process as indexed by mismatch negativity

Abstract

Event Abstract Back to Event Voice discrimination process as indexed by mismatch negativity Ophelie Rogier1*, M. Gomot1, C. Barthelemy1 and N. Bruneau1 1 UMR INSERM U930 - CNRS ERL 3106, Université François-Rabelais de Tours, France The ability to discriminate human voice is one of the most important functions of the human auditory system and is essential for social interactions.The aim of this study was to investigate whether electrophysiological markers could be used as objective measures of voice discrimination by looking at the MMN when the infrequent stimulus was a voice as opposed to a standard non-voice stimulus. Ten adults participated in this study. Cortical auditory evoked potentials (AEPs) were recorded from 28 scalp electrodes during passive listening to human vocal sounds and environmental sounds. Two sequences were delivered in counterbalanced order across subjects. The Voc sequence included standard vocal stimuli between which NVoc sounds (15%) were interspersed. The NVoc sequence was the exact opposite, with Voc stimuli interspersed between NVoc stimuli. Stimuli were derived from those used in Belin et al.’s study (Nature, 2000), segmented in 500-ms samples in order to accommodate AEP methodology. Topographical analyses were performed using scalp potential (SP) and scalp current density (SCD) mapping.Results indicated that MMN to voice (calculated from the wave difference between deviant Voc and standard Voc) was elicited, culminating at fronto-central sites in the 200-240 ms latency range and with a polarity reversal at temporo-mastoid sites.These findings provide evidence that MMN can serve as an index of voice-category-specific processing and support the notion of early processing and representational differences between vocal and non-vocal stimuli. This index will therefore be useful in the investigation of voice processing in populations with social interaction disorders. Conference: MMN 09 Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications, Budapest, Hungary, 4 Apr - 7 Apr, 2009. Presentation Type: Poster Presentation Topic: Poster Presentations Citation: Rogier O, Gomot M, Barthelemy C and Bruneau N (2009). Voice discrimination process as indexed by mismatch negativity. Conference Abstract: MMN 09 Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications. doi: 10.3389/conf.neuro.09.2009.05.130 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 26 Mar 2009; Published Online: 26 Mar 2009. * Correspondence: Ophelie Rogier, UMR INSERM U930 - CNRS ERL 3106, Université François-Rabelais de Tours, CHRU de Tours, France, o.rogier@chu-tours.fr Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Ophelie Rogier M. Gomot C. Barthelemy N. Bruneau Google Ophelie Rogier M. Gomot C. Barthelemy N. Bruneau Google Scholar Ophelie Rogier M. Gomot C. Barthelemy N. Bruneau PubMed Ophelie Rogier M. Gomot C. Barthelemy N. Bruneau Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.