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Investigation of phase synchronization of interictal EEG in right temporal lobe epilepsy

Author

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  • Yu, Haitao
  • Cai, Lihui
  • Wu, Xinyu
  • Song, Zhenxi
  • Wang, Jiang
  • Xia, Zijie
  • Liu, Jing
  • Cao, Yibin

Abstract

Epilepsy is commonly associated with abnormally synchronous activity of neurons located in epileptogenic zones. In this study, we investigated the synchronization characteristic of right temporal lobe epilepsy (RTLE). Multichannel electroencephalography (EEG) data were recorded from the RTLE patients during interictal period and normal controls. Power spectral density was first used to analyze the EEG power for two groups of subjects. It was found that the power of epileptics is increased in the whole brain compared with that of the control. We calculated phase lag index (PLI) to measure the phase synchronization between each pair of EEG signals. A higher degree of synchronization was observed in the epileptics especially between distant channels. In particular, the regional synchronization degree was negatively correlated with power spectral density and the correlation was weaker for epileptics. Moreover, the synchronization degree decayed with the increase of relative distance of channels for both the epilepsy and control, but the dependence was weakened in the former. The obtained results may provide new insights into the generation mechanism of epilepsy.

Suggested Citation

  • Yu, Haitao & Cai, Lihui & Wu, Xinyu & Song, Zhenxi & Wang, Jiang & Xia, Zijie & Liu, Jing & Cao, Yibin, 2018. "Investigation of phase synchronization of interictal EEG in right temporal lobe epilepsy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 931-940.
    • Handle: RePEc:eee:phsmap:v:492:y:2018:i:c:p:931-940
    DOI: 10.1016/j.physa.2017.11.023
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    Cited by:

    1. Lahmiri, Salim, 2018. "Causal influences between spontaneous fluctuations in resting state fMRI of central and peripheral eccentricity representations in the human visual cortex," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 756-762.
    2. Yang, Chuanzuo & Luan, Guoming & Liu, Zhao & Wang, Qingyun, 2019. "Dynamical analysis of epileptic characteristics based on recurrence quantification of SEEG recordings," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 507-515.

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