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Neural silences can be localized rapidly using noninvasive scalp EEG
A rapid and cost-effective noninvasive tool to detect and characterize neural silences can be of important benefit in diagnosing and treating many disorders. We propose an algorithm, SilenceMap, for uncovering the absence of electrophysiological signals, or neural silences, using noninvasive scalp e...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010113/ https://www.ncbi.nlm.nih.gov/pubmed/33785813 http://dx.doi.org/10.1038/s42003-021-01768-0 |
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author | Chamanzar, Alireza Behrmann, Marlene Grover, Pulkit |
author_facet | Chamanzar, Alireza Behrmann, Marlene Grover, Pulkit |
author_sort | Chamanzar, Alireza |
collection | PubMed |
description | A rapid and cost-effective noninvasive tool to detect and characterize neural silences can be of important benefit in diagnosing and treating many disorders. We propose an algorithm, SilenceMap, for uncovering the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. By accounting for the contributions of different sources to the power of the recorded signals, and using a hemispheric baseline approach and a convex spectral clustering framework, SilenceMap permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data. SilenceMap substantially outperformed existing source localization algorithms in estimating the center-of-mass of the silence for three pediatric cortical resection patients, using fewer than 3 minutes of EEG recordings (13, 2, and 11mm vs. 25, 62, and 53 mm), as well for 100 different simulated regions of silence based on a real human head model (12 ± 0.7 mm vs. 54 ± 2.2 mm). SilenceMap paves the way towards accessible early diagnosis and continuous monitoring of altered physiological properties of human cortical function. |
format | Online Article Text |
id | pubmed-8010113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80101132021-04-16 Neural silences can be localized rapidly using noninvasive scalp EEG Chamanzar, Alireza Behrmann, Marlene Grover, Pulkit Commun Biol Article A rapid and cost-effective noninvasive tool to detect and characterize neural silences can be of important benefit in diagnosing and treating many disorders. We propose an algorithm, SilenceMap, for uncovering the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. By accounting for the contributions of different sources to the power of the recorded signals, and using a hemispheric baseline approach and a convex spectral clustering framework, SilenceMap permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data. SilenceMap substantially outperformed existing source localization algorithms in estimating the center-of-mass of the silence for three pediatric cortical resection patients, using fewer than 3 minutes of EEG recordings (13, 2, and 11mm vs. 25, 62, and 53 mm), as well for 100 different simulated regions of silence based on a real human head model (12 ± 0.7 mm vs. 54 ± 2.2 mm). SilenceMap paves the way towards accessible early diagnosis and continuous monitoring of altered physiological properties of human cortical function. Nature Publishing Group UK 2021-03-30 /pmc/articles/PMC8010113/ /pubmed/33785813 http://dx.doi.org/10.1038/s42003-021-01768-0 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chamanzar, Alireza Behrmann, Marlene Grover, Pulkit Neural silences can be localized rapidly using noninvasive scalp EEG |
title | Neural silences can be localized rapidly using noninvasive scalp EEG |
title_full | Neural silences can be localized rapidly using noninvasive scalp EEG |
title_fullStr | Neural silences can be localized rapidly using noninvasive scalp EEG |
title_full_unstemmed | Neural silences can be localized rapidly using noninvasive scalp EEG |
title_short | Neural silences can be localized rapidly using noninvasive scalp EEG |
title_sort | neural silences can be localized rapidly using noninvasive scalp eeg |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010113/ https://www.ncbi.nlm.nih.gov/pubmed/33785813 http://dx.doi.org/10.1038/s42003-021-01768-0 |
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