Article
Predicting Speech Recognition in Cochlear Implant Users using Electroencephalography (en)
* Presenting author
Abstract:
The goal of this study [1] was to investigate whether the acoustic change complex (ACC) can be used to assess the encoding of temporal envelope modulations (TEMs) in cochlear implant (CI) users. We assessed amplitude modulation detection (AMD) and amplitude modulation frequency discrimination (AMFD) using psychoacoustic tasks and the ACC. We found a significant correlation between AMD-ACC N1 amplitude and speech-in-noise scores. Our study highlights the potential of using ACC to assess TEM encoding and predict speech recognition in a more objective manner, even in patients who are unable to provide active feedback. AMD-ACC and AMFD-ACC hold potential as clinically applicable measures, although the SNR of AMFD-ACC needs to be improved.References: [1] Aldag, N., Nogueira, W. Psychoacoustic and electroencephalographic responses to changes in amplitude modulation depth and frequency in relation to speech recognition in cochlear implantees. Submitted to Scientific Reports, under review.