Cargando…
A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness
Recently, neuroimaging technologies have been developed as important methods for assessing the brain condition of patients with disorders of consciousness (DOC). Among these technologies, resting-state electroencephalography (EEG) recording and analysis has been widely applied by clinicians due to i...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601979/ https://www.ncbi.nlm.nih.gov/pubmed/28955295 http://dx.doi.org/10.3389/fneur.2017.00471 |
_version_ | 1783264497980407808 |
---|---|
author | Bai, Yang Xia, Xiaoyu Li, Xiaoli |
author_facet | Bai, Yang Xia, Xiaoyu Li, Xiaoli |
author_sort | Bai, Yang |
collection | PubMed |
description | Recently, neuroimaging technologies have been developed as important methods for assessing the brain condition of patients with disorders of consciousness (DOC). Among these technologies, resting-state electroencephalography (EEG) recording and analysis has been widely applied by clinicians due to its relatively low cost and convenience. EEG reflects the electrical activity of the underlying neurons, and it contains information regarding neuronal population oscillations, the information flow pathway, and neural activity networks. Some features derived from EEG signal processing methods have been proposed to describe the electrical features of the brain with DOC. The computation of these features is challenging for clinicians working to comprehend the corresponding physiological meanings and then to put them into clinical applications. This paper reviews studies that analyze spontaneous EEG of DOC, with the purpose of diagnosis, prognosis, and evaluation of brain interventions. It is expected that this review will promote our understanding of the EEG characteristics in DOC. |
format | Online Article Text |
id | pubmed-5601979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56019792017-09-27 A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness Bai, Yang Xia, Xiaoyu Li, Xiaoli Front Neurol Neuroscience Recently, neuroimaging technologies have been developed as important methods for assessing the brain condition of patients with disorders of consciousness (DOC). Among these technologies, resting-state electroencephalography (EEG) recording and analysis has been widely applied by clinicians due to its relatively low cost and convenience. EEG reflects the electrical activity of the underlying neurons, and it contains information regarding neuronal population oscillations, the information flow pathway, and neural activity networks. Some features derived from EEG signal processing methods have been proposed to describe the electrical features of the brain with DOC. The computation of these features is challenging for clinicians working to comprehend the corresponding physiological meanings and then to put them into clinical applications. This paper reviews studies that analyze spontaneous EEG of DOC, with the purpose of diagnosis, prognosis, and evaluation of brain interventions. It is expected that this review will promote our understanding of the EEG characteristics in DOC. Frontiers Media S.A. 2017-09-11 /pmc/articles/PMC5601979/ /pubmed/28955295 http://dx.doi.org/10.3389/fneur.2017.00471 Text en Copyright © 2017 Bai, Xia and Li. 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) 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. |
spellingShingle | Neuroscience Bai, Yang Xia, Xiaoyu Li, Xiaoli A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness |
title | A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness |
title_full | A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness |
title_fullStr | A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness |
title_full_unstemmed | A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness |
title_short | A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness |
title_sort | review of resting-state electroencephalography analysis in disorders of consciousness |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601979/ https://www.ncbi.nlm.nih.gov/pubmed/28955295 http://dx.doi.org/10.3389/fneur.2017.00471 |
work_keys_str_mv | AT baiyang areviewofrestingstateelectroencephalographyanalysisindisordersofconsciousness AT xiaxiaoyu areviewofrestingstateelectroencephalographyanalysisindisordersofconsciousness AT lixiaoli areviewofrestingstateelectroencephalographyanalysisindisordersofconsciousness AT baiyang reviewofrestingstateelectroencephalographyanalysisindisordersofconsciousness AT xiaxiaoyu reviewofrestingstateelectroencephalographyanalysisindisordersofconsciousness AT lixiaoli reviewofrestingstateelectroencephalographyanalysisindisordersofconsciousness |