Dheer Puneet, Pati Sandipan, Chowdhury Kalyan Kumar, Majumdar Kaushik Kumar
Systems Science and Informatics Unit, Indian Statistical Institute, 8th Mile, Mysore Road, Bangalore, India, 560059.
UAB Epilepsy Center, Department of Neurology, University of Alabama at Birmingham, CIRC 312, 1719 6th Avenue South, Birmingham, AL, 35294, USA.
Heliyon. 2020 Dec 23;6(12):e05769. doi: 10.1016/j.heliyon.2020.e05769. eCollection 2020 Dec.
Epileptic seizures are characterized by aberrant synchronization. We hypothesized that higher synchronization across the seizure onset zone (SOZ) channels during a temporal lobe seizure contributes to impaired consciousness.
All symmetric bivariate synchronization measures were extended to multivariate measure by a principal component analysis (PCA) based technique. A novel nonparametric method has been proposed to test the statistical significance between increased synchronization across the seizure onset zone (SOZ) channels and reduced consciousness.
Increased synchronization in the gamma band towards seizure termination significantly contributes to impaired consciousness (p < 0.1). Synchronization reaches its peak in the extratemporal region (frontal lobe) ahead of the temporal region (p < 0.05). Synchronization is prominent in beta and gamma bands by most methods and it is more in the second half of seizure duration than in the first (p < 0.05).
Mutual information is the only synchronization measure out of the six that we studied, whose increase can be associated with the loss of consciousness in a statistically significant way.
癫痫发作的特征是异常同步。我们假设颞叶癫痫发作期间发作起始区（SOZ）通道间更高的同步性会导致意识受损。
通过基于主成分分析（PCA）的技术，将所有对称双变量同步测量扩展为多变量测量。已提出一种新的非参数方法来检验发作起始区（SOZ）通道同步性增加与意识降低之间的统计学显著性。
癫痫发作终止时γ频段同步性增加显著导致意识受损（p < 0.1）。同步性在颞叶区域之前的颞外区域（额叶）达到峰值（p < 0.05）。大多数方法显示β和γ频段同步性显著，且在发作持续时间的后半段比前半段更明显（p < 0.05）。
互信息是我们研究的六种同步测量中唯一一种其增加能在统计学上显著与意识丧失相关的测量。
