A global coupling index of multivariate neural series with application to the evaluation of mild cognitive impairment
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- 作者：Dong Wena ; b ; Qing Xuec ; Chengbiao Lud ; Xinyong Guane ; Yuping Wangc ; 1 ; mdwangyp@yahoo.com.cn" class="auth_mail ; Xiaoli Lid ; f ; xiaoli@bnu.edu.cn" class="auth_mail
- 关键词：Synchronization ; Multivariate neural series ; Global coupling index ; Multi-channel neural mass model ; Mild cognitive impairment
- 刊名：Neural Networks
- 出版年：August 2014
- 年：2014
- 卷：56
- 期：Complete
- 页码：1-9
- 全文大小：548 K
文摘
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The GCI method proposed in this paper could be applied to indicate genuine and stochastic synchronization in multivariate EEG series at different frequency bands.
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The GCI method proposed in this paper was less influenced by the frequency bands than the GSI and S-estimator methods, indicating that the GCI method was more robust. And the GCI method had a better performance on the coupling coefficient relative to GSI and S-estimator.
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The GCI method proposed in this paper was more sensitive than GSI and S-estimator methods in differing synchronization strength of EEG between MCI and NC, and could be considered as a potential indicator diagnosing MCI.