Neural decoding of single vowels during covert articulation using electrocorticography

The human brain has important abilities for manipulating phonemes, the basic building blocks of speech; these abilities represent phonological processing. Previous studies have shown change in the activation levels of broad cortical areas such as the premotor cortex, the inferior frontal gyrus, and...

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Main Authors: Ikeda, Shigeyuki, Shibata, Tomohiro, Nakano, Naoki, Okada, Rieko, Tsuyuguchi, Naohiro, Ikeda, Kazushi, Kato, Amami
Format: Online
Language:English
Published: Frontiers Media S.A. 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945950/
id pubmed-3945950
recordtype oai_dc
spelling pubmed-39459502014-03-17 Neural decoding of single vowels during covert articulation using electrocorticography Ikeda, Shigeyuki Shibata, Tomohiro Nakano, Naoki Okada, Rieko Tsuyuguchi, Naohiro Ikeda, Kazushi Kato, Amami Neuroscience The human brain has important abilities for manipulating phonemes, the basic building blocks of speech; these abilities represent phonological processing. Previous studies have shown change in the activation levels of broad cortical areas such as the premotor cortex, the inferior frontal gyrus, and the superior temporal gyrus during phonological processing. However, whether these areas actually convey signals to representations related to individual phonemes remains unclear. This study focused on single vowels and investigated cortical areas important for representing single vowels using electrocorticography (ECoG) during covert articulation. To identify such cortical areas, we used a neural decoding approach in which machine learning models identify vowels. A decoding model was trained on the ECoG signals from individual electrodes placed on the subjects' cortices. We then statistically evaluated whether each decoding model showed accurate identification of vowels, and we found cortical areas such as the premotor cortex and the superior temporal gyrus. These cortical areas were consistent with previous findings. On the other hand, no electrodes over Broca's area showed significant decoding accuracies. This was inconsistent with findings from a previous study showing that vowels within the phonemic sequence of words can be decoded using ECoG signals from Broca's area. Our results therefore suggest that Broca's area is involved in the processing of vowels within phonemic sequences, but not in the processing of single vowels. Frontiers Media S.A. 2014-03-07 /pmc/articles/PMC3945950/ /pubmed/24639642 http://dx.doi.org/10.3389/fnhum.2014.00125 Text en Copyright © 2014 Ikeda, Shibata, Nakano, Okada, Tsuyuguchi, Ikeda and Kato. http://creativecommons.org/licenses/by/3.0/ 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) or licensor 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.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Ikeda, Shigeyuki
Shibata, Tomohiro
Nakano, Naoki
Okada, Rieko
Tsuyuguchi, Naohiro
Ikeda, Kazushi
Kato, Amami
spellingShingle Ikeda, Shigeyuki
Shibata, Tomohiro
Nakano, Naoki
Okada, Rieko
Tsuyuguchi, Naohiro
Ikeda, Kazushi
Kato, Amami
Neural decoding of single vowels during covert articulation using electrocorticography
author_facet Ikeda, Shigeyuki
Shibata, Tomohiro
Nakano, Naoki
Okada, Rieko
Tsuyuguchi, Naohiro
Ikeda, Kazushi
Kato, Amami
author_sort Ikeda, Shigeyuki
title Neural decoding of single vowels during covert articulation using electrocorticography
title_short Neural decoding of single vowels during covert articulation using electrocorticography
title_full Neural decoding of single vowels during covert articulation using electrocorticography
title_fullStr Neural decoding of single vowels during covert articulation using electrocorticography
title_full_unstemmed Neural decoding of single vowels during covert articulation using electrocorticography
title_sort neural decoding of single vowels during covert articulation using electrocorticography
description The human brain has important abilities for manipulating phonemes, the basic building blocks of speech; these abilities represent phonological processing. Previous studies have shown change in the activation levels of broad cortical areas such as the premotor cortex, the inferior frontal gyrus, and the superior temporal gyrus during phonological processing. However, whether these areas actually convey signals to representations related to individual phonemes remains unclear. This study focused on single vowels and investigated cortical areas important for representing single vowels using electrocorticography (ECoG) during covert articulation. To identify such cortical areas, we used a neural decoding approach in which machine learning models identify vowels. A decoding model was trained on the ECoG signals from individual electrodes placed on the subjects' cortices. We then statistically evaluated whether each decoding model showed accurate identification of vowels, and we found cortical areas such as the premotor cortex and the superior temporal gyrus. These cortical areas were consistent with previous findings. On the other hand, no electrodes over Broca's area showed significant decoding accuracies. This was inconsistent with findings from a previous study showing that vowels within the phonemic sequence of words can be decoded using ECoG signals from Broca's area. Our results therefore suggest that Broca's area is involved in the processing of vowels within phonemic sequences, but not in the processing of single vowels.
publisher Frontiers Media S.A.
publishDate 2014
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945950/
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