4.5 Article

Electrophysiological responses to emotional prosody perception in cochlear implant users

期刊

NEUROIMAGE-CLINICAL
卷 2, 期 -, 页码 229-238

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.nicl.2013.01.001

关键词

Emotional prosody; Cochlear implants; ERP; P200; Gamma band power

资金

  1. Georg Christoph Lichtenberg Stipendium of Lower-Saxony, Germany
  2. Fundacao para a Ciencia e Tecnologia, Lisbon, Portugal [SFRH/BD/37662/2007]

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The present electroencephalographic (EEG) study investigated the ability of cochlear implant (CI) users to recognize emotional prosody. Two CI speech-processing strategies were compared: the ACE (Advance Combination Encoder) and the newly developed MP3000. Semantically neutral sentences spoken in three different emotional prosodies (neutral, angry, happy) were presented to 20 post-lingually deafened CI users and age-matched normal-hearing controls. Event related potentials (ERPs) were recorded to study the N100 and the P200 responses. In addition, event-related spectral power modulations were calculated to study the brain activity corresponding to the recognition of prosody in earlier (0-400) as well as later (600-1200) part of the stimuli where the prosodic features differed maximally. CI users with MP3000 strategy showed a higher proportion of correctly recognized prosodic information compared to the ACE strategy users. Our ERP results demonstrated that emotional prosody elicited significant N100 and P200 peaks. Furthermore, the P200 amplitude in response to happy prosodic information was significantly more positive for the MP3000 strategy compared to the ACE strategy. On spectral power analysis, two typical gamma activities were observed in the MP3000 users only: (1) an early gamma activity in the 100-250 ms time window reflecting bottom-up attention regulation; and (2) a late gamma activity between 900 and 1100 ms post-stimulus onset, probably reflecting top-down cognitive control. Our study suggests that the MP3000 strategy is better than ACE in regard to happy prosody perception. Furthermore, we show that EEG is a useful tool that, in combination with behavioral analysis, can reveal differences between two CI processing strategies for coding of prosody-specific features of language. (C) 2013 The Authors. Published by Elsevier Inc.

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