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Frontotemporal activation differs between perception of simulated cochlear implant speech and speech in background noise: An image-based fNIRS study

In this study we used functional near-infrared spectroscopy (fNIRS) to investigate neural responses in normal-hearing adults as a function of speech recognition accuracy, intelligibility of the speech stimulus, and the manner in which speech is distorted. Participants listened to sentences and repor...

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Autores principales: Defenderfer, Jessica, Forbes, Samuel, Wijeakumar, Sobanawartiny, Hedrick, Mark, Plyler, Patrick, Buss, Aaron T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503862/
https://www.ncbi.nlm.nih.gov/pubmed/34256138
http://dx.doi.org/10.1016/j.neuroimage.2021.118385
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author Defenderfer, Jessica
Forbes, Samuel
Wijeakumar, Sobanawartiny
Hedrick, Mark
Plyler, Patrick
Buss, Aaron T.
author_facet Defenderfer, Jessica
Forbes, Samuel
Wijeakumar, Sobanawartiny
Hedrick, Mark
Plyler, Patrick
Buss, Aaron T.
author_sort Defenderfer, Jessica
collection PubMed
description In this study we used functional near-infrared spectroscopy (fNIRS) to investigate neural responses in normal-hearing adults as a function of speech recognition accuracy, intelligibility of the speech stimulus, and the manner in which speech is distorted. Participants listened to sentences and reported aloud what they heard. Speech quality was distorted artificially by vocoding (simulated cochlear implant speech) or naturally by adding background noise. Each type of distortion included high and low-intelligibility conditions. Sentences in quiet were used as baseline comparison. fNIRS data were analyzed using a newly developed image reconstruction approach. First, elevated cortical responses in the middle temporal gyrus (MTG) and middle frontal gyrus (MFG) were associated with speech recognition during the low-intelligibility conditions. Second, activation in the MTG was associated with recognition of vocoded speech with low intelligibility, whereas MFG activity was largely driven by recognition of speech in background noise, suggesting that the cortical response varies as a function of distortion type. Lastly, an accuracy effect in the MFG demonstrated significantly higher activation during correct perception relative to incorrect perception of speech. These results suggest that normal-hearing adults (i.e., untrained listeners of vocoded stimuli) do not exploit the same attentional mechanisms of the frontal cortex used to resolve naturally degraded speech and may instead rely on segmental and phonetic analyses in the temporal lobe to discriminate vocoded speech.
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spelling pubmed-85038622021-10-15 Frontotemporal activation differs between perception of simulated cochlear implant speech and speech in background noise: An image-based fNIRS study Defenderfer, Jessica Forbes, Samuel Wijeakumar, Sobanawartiny Hedrick, Mark Plyler, Patrick Buss, Aaron T. Neuroimage Article In this study we used functional near-infrared spectroscopy (fNIRS) to investigate neural responses in normal-hearing adults as a function of speech recognition accuracy, intelligibility of the speech stimulus, and the manner in which speech is distorted. Participants listened to sentences and reported aloud what they heard. Speech quality was distorted artificially by vocoding (simulated cochlear implant speech) or naturally by adding background noise. Each type of distortion included high and low-intelligibility conditions. Sentences in quiet were used as baseline comparison. fNIRS data were analyzed using a newly developed image reconstruction approach. First, elevated cortical responses in the middle temporal gyrus (MTG) and middle frontal gyrus (MFG) were associated with speech recognition during the low-intelligibility conditions. Second, activation in the MTG was associated with recognition of vocoded speech with low intelligibility, whereas MFG activity was largely driven by recognition of speech in background noise, suggesting that the cortical response varies as a function of distortion type. Lastly, an accuracy effect in the MFG demonstrated significantly higher activation during correct perception relative to incorrect perception of speech. These results suggest that normal-hearing adults (i.e., untrained listeners of vocoded stimuli) do not exploit the same attentional mechanisms of the frontal cortex used to resolve naturally degraded speech and may instead rely on segmental and phonetic analyses in the temporal lobe to discriminate vocoded speech. 2021-07-10 2021-10-15 /pmc/articles/PMC8503862/ /pubmed/34256138 http://dx.doi.org/10.1016/j.neuroimage.2021.118385 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Article
Defenderfer, Jessica
Forbes, Samuel
Wijeakumar, Sobanawartiny
Hedrick, Mark
Plyler, Patrick
Buss, Aaron T.
Frontotemporal activation differs between perception of simulated cochlear implant speech and speech in background noise: An image-based fNIRS study
title Frontotemporal activation differs between perception of simulated cochlear implant speech and speech in background noise: An image-based fNIRS study
title_full Frontotemporal activation differs between perception of simulated cochlear implant speech and speech in background noise: An image-based fNIRS study
title_fullStr Frontotemporal activation differs between perception of simulated cochlear implant speech and speech in background noise: An image-based fNIRS study
title_full_unstemmed Frontotemporal activation differs between perception of simulated cochlear implant speech and speech in background noise: An image-based fNIRS study
title_short Frontotemporal activation differs between perception of simulated cochlear implant speech and speech in background noise: An image-based fNIRS study
title_sort frontotemporal activation differs between perception of simulated cochlear implant speech and speech in background noise: an image-based fnirs study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503862/
https://www.ncbi.nlm.nih.gov/pubmed/34256138
http://dx.doi.org/10.1016/j.neuroimage.2021.118385
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