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Abstract
Objective
Ninety percent of cochlear implant (CI) users are interested in improving their music perception. However, only few objective behavioral and neurophysiological tests have been developed for tracing the development of music discrimination skills in CI users. In this study, we aimed to obtain an accurate individual mismatch negativity (MMN) marker that could predict behavioral auditory discrimination thresholds.
Methods
We measured the individual MMN response to four magnitudes of deviations in four different musical features (intensity, pitch, timbre, and rhythm) in a rare sample of experienced CI users and a control sample of normally hearing participants. We applied a recently developed spike density component analysis (SCA), which can suppress confounding alpha waves, and contrasted it with previously proposed methods.
Results
Statistically detected individual MMN predicted attentive sound discrimination ability with high accuracy: for CI users 89.2% (278/312 cases) and for controls 90.5% (384/424 cases). As expected, MMN was detected for fewer CI users when the sound deviants were of smaller magnitude.
Conclusions
The findings support the use of MMN responses in individual CI users as a diagnostic tool for testing music perception.
Significance
For CI users, the new SCA method provided more accurate and replicable diagnostic detections than preceding state-of-the-art.
Ninety percent of cochlear implant (CI) users are interested in improving their music perception. However, only few objective behavioral and neurophysiological tests have been developed for tracing the development of music discrimination skills in CI users. In this study, we aimed to obtain an accurate individual mismatch negativity (MMN) marker that could predict behavioral auditory discrimination thresholds.
Methods
We measured the individual MMN response to four magnitudes of deviations in four different musical features (intensity, pitch, timbre, and rhythm) in a rare sample of experienced CI users and a control sample of normally hearing participants. We applied a recently developed spike density component analysis (SCA), which can suppress confounding alpha waves, and contrasted it with previously proposed methods.
Results
Statistically detected individual MMN predicted attentive sound discrimination ability with high accuracy: for CI users 89.2% (278/312 cases) and for controls 90.5% (384/424 cases). As expected, MMN was detected for fewer CI users when the sound deviants were of smaller magnitude.
Conclusions
The findings support the use of MMN responses in individual CI users as a diagnostic tool for testing music perception.
Significance
For CI users, the new SCA method provided more accurate and replicable diagnostic detections than preceding state-of-the-art.
Original language | English |
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Journal | Clinical Neurophysiology |
Volume | 148 |
Pages (from-to) | 76-92 |
Number of pages | 17 |
ISSN | 1388-2457 |
DOIs | |
Publication status | Published - Apr 2023 |
Event | The 9th Mismatch Negativity conference - Fukushima Medical University, Fukushima, Japan Duration: 21 Sept 2022 → 23 Sept 2022 Conference number: 9 https://www.c-linkage.co.jp/mmn2022/ |
Conference
Conference | The 9th Mismatch Negativity conference |
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Number | 9 |
Location | Fukushima Medical University |
Country/Territory | Japan |
City | Fukushima |
Period | 21/09/2022 → 23/09/2022 |
Internet address |
Keywords
- Audiology
- Cochlear Implants
- EEG
- MMN
- SCA
- Music
- Cochlear implants (CI)
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High-accuracy MEG/EEG diagnostics with SCA
Trusbak Haumann, N. (Participant), Brattico, E. (PI), Vuust, P. (PI), Kliuchko, M. (Participant), Huotilainen, M. (Participant), Hansen, B. (Participant) & Bruzzone, S. E. P. (Collaborator)
01/01/2019 → …
Project: Research