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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-09-01
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| Series: | Frontiers in Neurology |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fneur.2017.00471/full |
| _version_ | 1819053739908005888 |
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| author | Yang Bai Xiaoyu Xia Xiaoli Li |
| author_facet | Yang Bai Xiaoyu Xia Xiaoli Li |
| author_sort | Yang Bai |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-21T12:40:31Z |
| format | Article |
| id | doaj.art-3ac9b1aa623343cf9ac0090114bf1534 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-12-21T12:40:31Z |
| publishDate | 2017-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-3ac9b1aa623343cf9ac0090114bf15342022-12-21T19:03:47ZengFrontiers Media S.A.Frontiers in Neurology1664-22952017-09-01810.3389/fneur.2017.00471290031A Review of Resting-State Electroencephalography Analysis in Disorders of ConsciousnessYang Bai0Xiaoyu Xia1Xiaoli Li2Institute of Electrical Engineering, Yanshan University, Qinhuangdao, ChinaDepartment of Neurosurgery, PLA Army General Hospital, Beijing, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, ChinaRecently, 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.http://journal.frontiersin.org/article/10.3389/fneur.2017.00471/fullelectroencephalographydisorder of consciousnessvegetative stateminimally conscious stateunresponsive wakefulness syndrome |
| spellingShingle | Yang Bai Xiaoyu Xia Xiaoli Li A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness Frontiers in Neurology electroencephalography disorder of consciousness vegetative state minimally conscious state unresponsive wakefulness syndrome |
| 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 | electroencephalography disorder of consciousness vegetative state minimally conscious state unresponsive wakefulness syndrome |
| url | http://journal.frontiersin.org/article/10.3389/fneur.2017.00471/full |
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