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- Title
Brain Network Regional Synchrony Analysis in Deafness.
- Authors
Xu, Lei; Wang, Chang-Dong; Liang, Mao-Jin; Cai, Yue-Xin; Zheng, Yi-Qing
- Abstract
Deafness, the most common auditory disease, has greatly affected people for a long time. The major treatment for deafness is cochlear implantation (CI). However, till today, there is still a lack of objective and precise indicator serving as evaluation of the effectiveness of the cochlear implantation. The goal of this EEG-based study is to effectively distinguish CI children from those prelingual deafened children without cochlear implantation. The proposed method is based on the functional connectivity analysis, which focuses on the brain network regional synchrony. Specifically, we compute the functional connectivity between each channel pair first. Then, we quantify the brain network synchrony among regions of interests (ROIs), where both intraregional synchrony and interregional synchrony are computed. And finally the synchrony values are concatenated to form the feature vector for the SVM classifier. What is more, we develop a new ROI partition method of 128-channel EEG recording system. That is, both the existing ROI partition method and the proposed ROI partition method are used in the experiments. Compared with the existing EEG signal classification methods, our proposed method has achieved significant improvements as large as 87.20% and 86.30% when the existing ROI partition method and the proposed ROI partition method are used, respectively. It further demonstrates that the new ROI partition method is comparable to the existing ROI partition method.
- Subjects
BRAIN physiology; TREATMENT of deafness; COCHLEAR implants; ELECTROENCEPHALOGRAPHY
- Publication
BioMed Research International, 2018, Vol 2018, p1
- ISSN
2314-6133
- Publication type
Article
- DOI
10.1155/2018/6547848