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Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study
Recent advances in neuroimaging technologies have provided insights into detecting residual consciousness and assessing cognitive abilities in patients with disorders of consciousness (DOC). Functional near-infrared spectroscopy (fNIRS) is non-invasive and portable and can be used for longitudinal b...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355369/ https://www.ncbi.nlm.nih.gov/pubmed/34393964 http://dx.doi.org/10.3389/fneur.2021.618055 |
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author | Li, Meng Yang, Yi Zhang, Yujin Gao, Yuhang Jing, Rixing Dang, Yuanyuan Chen, Xueling He, Jianghong Si, Juanning |
author_facet | Li, Meng Yang, Yi Zhang, Yujin Gao, Yuhang Jing, Rixing Dang, Yuanyuan Chen, Xueling He, Jianghong Si, Juanning |
author_sort | Li, Meng |
collection | PubMed |
description | Recent advances in neuroimaging technologies have provided insights into detecting residual consciousness and assessing cognitive abilities in patients with disorders of consciousness (DOC). Functional near-infrared spectroscopy (fNIRS) is non-invasive and portable and can be used for longitudinal bedside monitoring, making it uniquely suited for evaluating brain function in patients with DOC at appropriate spatiotemporal resolutions. In this pilot study, an active command-driven motor imagery (MI) paradigm based on fNIRS was used to detect residual consciousness in patients with prolonged DOC. A support vector machine (SVM) classifier was used to classify yes-or-no responses. The results showed that relatively reliable responses were detected from three out of five patients in a minimally consciousness state (MCS). One of the patients answered all the questions accurately when assessed according to this method. This study confirmed the feasibility of using portable fNIRS technology to detect residual cognitive ability in patients with prolonged DOC by active command-driven motor imagery. We hope to detect the exact level of consciousness in DOC patients who may have a higher level of consciousness. |
format | Online Article Text |
id | pubmed-8355369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83553692021-08-12 Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study Li, Meng Yang, Yi Zhang, Yujin Gao, Yuhang Jing, Rixing Dang, Yuanyuan Chen, Xueling He, Jianghong Si, Juanning Front Neurol Neurology Recent advances in neuroimaging technologies have provided insights into detecting residual consciousness and assessing cognitive abilities in patients with disorders of consciousness (DOC). Functional near-infrared spectroscopy (fNIRS) is non-invasive and portable and can be used for longitudinal bedside monitoring, making it uniquely suited for evaluating brain function in patients with DOC at appropriate spatiotemporal resolutions. In this pilot study, an active command-driven motor imagery (MI) paradigm based on fNIRS was used to detect residual consciousness in patients with prolonged DOC. A support vector machine (SVM) classifier was used to classify yes-or-no responses. The results showed that relatively reliable responses were detected from three out of five patients in a minimally consciousness state (MCS). One of the patients answered all the questions accurately when assessed according to this method. This study confirmed the feasibility of using portable fNIRS technology to detect residual cognitive ability in patients with prolonged DOC by active command-driven motor imagery. We hope to detect the exact level of consciousness in DOC patients who may have a higher level of consciousness. Frontiers Media S.A. 2021-07-28 /pmc/articles/PMC8355369/ /pubmed/34393964 http://dx.doi.org/10.3389/fneur.2021.618055 Text en Copyright © 2021 Li, Yang, Zhang, Gao, Jing, Dang, Chen, He and Si. https://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 | Neurology Li, Meng Yang, Yi Zhang, Yujin Gao, Yuhang Jing, Rixing Dang, Yuanyuan Chen, Xueling He, Jianghong Si, Juanning Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study |
title | Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study |
title_full | Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study |
title_fullStr | Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study |
title_full_unstemmed | Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study |
title_short | Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study |
title_sort | detecting residual awareness in patients with prolonged disorders of consciousness: an fnirs study |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355369/ https://www.ncbi.nlm.nih.gov/pubmed/34393964 http://dx.doi.org/10.3389/fneur.2021.618055 |
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