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Review
. 2017 Sep 11:8:471.
doi: 10.3389/fneur.2017.00471. eCollection 2017.

A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness

Yang Bai  1 , Xiaoyu Xia  2 , Xiaoli Li  3
Affiliations
Review

A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness

Yang Bai et al. Front Neurol. .

Abstract

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.

Keywords: disorder of consciousness; electroencephalography; minimally conscious state; unresponsive wakefulness syndrome; vegetative state.

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Figures

Figure 1
Figure 1
The primary features in resting-state electroencephalography studies of disorders of consciousness.
See this image and copyright information in PMC

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