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Decoding Selective Attention in Normal Hearing Listeners and Bilateral Cochlear Implant Users With Concealed Ear EEG

Electroencephalography (EEG) data can be used to decode an attended speech source in normal-hearing (NH) listeners using high-density EEG caps, as well as around-the-ear EEG devices. The technology may find application in identifying the target speaker in a cocktail party like scenario and steer spe...

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Autores principales: Nogueira, Waldo, Dolhopiatenko, Hanna, Schierholz, Irina, Büchner, Andreas, Mirkovic, Bojana, Bleichner, Martin G., Debener, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657402/
https://www.ncbi.nlm.nih.gov/pubmed/31379479
http://dx.doi.org/10.3389/fnins.2019.00720
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author Nogueira, Waldo
Dolhopiatenko, Hanna
Schierholz, Irina
Büchner, Andreas
Mirkovic, Bojana
Bleichner, Martin G.
Debener, Stefan
author_facet Nogueira, Waldo
Dolhopiatenko, Hanna
Schierholz, Irina
Büchner, Andreas
Mirkovic, Bojana
Bleichner, Martin G.
Debener, Stefan
author_sort Nogueira, Waldo
collection PubMed
description Electroencephalography (EEG) data can be used to decode an attended speech source in normal-hearing (NH) listeners using high-density EEG caps, as well as around-the-ear EEG devices. The technology may find application in identifying the target speaker in a cocktail party like scenario and steer speech enhancement algorithms in cochlear implants (CIs). However, the worse spectral resolution and the electrical artifacts introduced by a CI may limit the applicability of this approach to CI users. The goal of this study was to investigate whether selective attention can be decoded in CI users using an around-the-ear EEG system (cEEGrid). The performances of high-density cap EEG recordings and cEEGrid EEG recordings were compared in a selective attention paradigm using an envelope tracking algorithm. Speech from two audio books was presented through insert earphones to NH listeners and via direct audio cable to the CI users. 10 NH listeners and 10 bilateral CI users participated in the study. Participants were instructed to attend to one out of the two concurrent speech streams while data were recorded by a 96-channel scalp EEG and an 18-channel cEEGrid setup simultaneously. Reconstruction performance was evaluated by means of parametric correlations between the reconstructed speech and both, the envelope of the attended and the unattended speech stream. Results confirm the feasibility to decode selective attention by means of single-trial EEG data in NH and CI users using a high-density EEG. All NH listeners and 9 out of 10 CI achieved high decoding accuracies. The cEEGrid was successful in decoding selective attention in 5 out of 10 NH listeners. The same result was obtained for CI users.
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spelling pubmed-66574022019-08-02 Decoding Selective Attention in Normal Hearing Listeners and Bilateral Cochlear Implant Users With Concealed Ear EEG Nogueira, Waldo Dolhopiatenko, Hanna Schierholz, Irina Büchner, Andreas Mirkovic, Bojana Bleichner, Martin G. Debener, Stefan Front Neurosci Neuroscience Electroencephalography (EEG) data can be used to decode an attended speech source in normal-hearing (NH) listeners using high-density EEG caps, as well as around-the-ear EEG devices. The technology may find application in identifying the target speaker in a cocktail party like scenario and steer speech enhancement algorithms in cochlear implants (CIs). However, the worse spectral resolution and the electrical artifacts introduced by a CI may limit the applicability of this approach to CI users. The goal of this study was to investigate whether selective attention can be decoded in CI users using an around-the-ear EEG system (cEEGrid). The performances of high-density cap EEG recordings and cEEGrid EEG recordings were compared in a selective attention paradigm using an envelope tracking algorithm. Speech from two audio books was presented through insert earphones to NH listeners and via direct audio cable to the CI users. 10 NH listeners and 10 bilateral CI users participated in the study. Participants were instructed to attend to one out of the two concurrent speech streams while data were recorded by a 96-channel scalp EEG and an 18-channel cEEGrid setup simultaneously. Reconstruction performance was evaluated by means of parametric correlations between the reconstructed speech and both, the envelope of the attended and the unattended speech stream. Results confirm the feasibility to decode selective attention by means of single-trial EEG data in NH and CI users using a high-density EEG. All NH listeners and 9 out of 10 CI achieved high decoding accuracies. The cEEGrid was successful in decoding selective attention in 5 out of 10 NH listeners. The same result was obtained for CI users. Frontiers Media S.A. 2019-07-18 /pmc/articles/PMC6657402/ /pubmed/31379479 http://dx.doi.org/10.3389/fnins.2019.00720 Text en Copyright © 2019 Nogueira, Dolhopiatenko, Schierholz, Büchner, Mirkovic, Bleichner and Debener. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Nogueira, Waldo
Dolhopiatenko, Hanna
Schierholz, Irina
Büchner, Andreas
Mirkovic, Bojana
Bleichner, Martin G.
Debener, Stefan
Decoding Selective Attention in Normal Hearing Listeners and Bilateral Cochlear Implant Users With Concealed Ear EEG
title Decoding Selective Attention in Normal Hearing Listeners and Bilateral Cochlear Implant Users With Concealed Ear EEG
title_full Decoding Selective Attention in Normal Hearing Listeners and Bilateral Cochlear Implant Users With Concealed Ear EEG
title_fullStr Decoding Selective Attention in Normal Hearing Listeners and Bilateral Cochlear Implant Users With Concealed Ear EEG
title_full_unstemmed Decoding Selective Attention in Normal Hearing Listeners and Bilateral Cochlear Implant Users With Concealed Ear EEG
title_short Decoding Selective Attention in Normal Hearing Listeners and Bilateral Cochlear Implant Users With Concealed Ear EEG
title_sort decoding selective attention in normal hearing listeners and bilateral cochlear implant users with concealed ear eeg
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657402/
https://www.ncbi.nlm.nih.gov/pubmed/31379479
http://dx.doi.org/10.3389/fnins.2019.00720
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