C Turgeon1, L Lazzouni1, F Lepore1, D Ellemberg2. 1. Centre de Recherche en Neuropsychologie et Cognition, Université de Montréal, Montréal, Québec, Canada. 2. Centre de Recherche en Neuropsychologie et Cognition, Université de Montréal, Montréal, Québec, Canada; Département de Kinésiologie, Université de Montréal, Montréal, Québec, Canada. Electronic address: dave.ellemberg@umontreal.ca.
Abstract
OBJECTIVE: To verify if a mismatch negativity (MMN) paradigm based on speech syllables can differentiate between good and poorer cochlear implant (CI) users on a speech recognition task. METHODS: Twenty adults with a CI and 11 normal hearing adults participated in the study. Based on a speech recognition test, ten CI users were classified as good performers and ten as poor performers. We measured the MMN with /da/ as the standard stimulus and /ba/ and /ga/ as the deviants. Separate analyses were conducted on the amplitude and latency of the MMN. RESULTS: A MMN was evoked by both deviant stimuli in all normal hearing participants and in well performing CI users, with similar amplitudes for both groups. However, the amplitude of the MMN was significantly reduced for the poorer CI users compared to the normal hearing group and the good CI users. The latency was longer for both groups of cochlear implant users. A bivariate correlation showed a significant positive correlation between the speech recognition score and the amplitude of the MMN. CONCLUSIONS: The MMN can distinguish between CI users who have good versus poor speech recognition as assessed with conventional tasks. SIGNIFICANCE: Our findings suggest that the MMN can be use to assess speech recognition proficiency in CI users who cannot be tested with regular speech recognition tasks, like infants and other non-verbal populations.
OBJECTIVE: To verify if a mismatch negativity (MMN) paradigm based on speech syllables can differentiate between good and poorer cochlear implant (CI) users on a speech recognition task. METHODS: Twenty adults with a CI and 11 normal hearing adults participated in the study. Based on a speech recognition test, ten CI users were classified as good performers and ten as poor performers. We measured the MMN with /da/ as the standard stimulus and /ba/ and /ga/ as the deviants. Separate analyses were conducted on the amplitude and latency of the MMN. RESULTS: A MMN was evoked by both deviant stimuli in all normal hearing participants and in well performing CI users, with similar amplitudes for both groups. However, the amplitude of the MMN was significantly reduced for the poorer CI users compared to the normal hearing group and the good CI users. The latency was longer for both groups of cochlear implant users. A bivariate correlation showed a significant positive correlation between the speech recognition score and the amplitude of the MMN. CONCLUSIONS: The MMN can distinguish between CI users who have good versus poor speech recognition as assessed with conventional tasks. SIGNIFICANCE: Our findings suggest that the MMN can be use to assess speech recognition proficiency in CI users who cannot be tested with regular speech recognition tasks, like infants and other non-verbal populations.
Authors: Salvatore Campanella; Kemal Arikan; Claudio Babiloni; Michela Balconi; Maurizio Bertollo; Viviana Betti; Luigi Bianchi; Martin Brunovsky; Carla Buttinelli; Silvia Comani; Giorgio Di Lorenzo; Daniel Dumalin; Carles Escera; Andreas Fallgatter; Derek Fisher; Giulia Maria Giordano; Bahar Guntekin; Claudio Imperatori; Ryouhei Ishii; Hendrik Kajosch; Michael Kiang; Eduardo López-Caneda; Pascal Missonnier; Armida Mucci; Sebastian Olbrich; Georges Otte; Andrea Perrottelli; Alessandra Pizzuti; Diego Pinal; Dean Salisbury; Yingying Tang; Paolo Tisei; Jijun Wang; Istvan Winkler; Jiajin Yuan; Oliver Pogarell Journal: Clin EEG Neurosci Date: 2020-09-25 Impact factor: 1.843