局灶性癫痫患者脑信号时空同步性的熵分析
Entropy analyses of spatiotemporal synchronizations in brain signals from patients with focal epilepsies
摘要：
研究了20例不同脑源性、不同发作类型、不同年龄和性别的癫痫患者的脑内脑电图（EEG）数据（近7亿个数据）。多通道单变量振幅分析表明，时间依赖性香农熵可以用来预测局灶性癫痫发作发作在不同的致痫性脑区的不同患者。利用熵的空间或时间差异，进一步研究了癫痫发作间期和发作间期患者致痫区和非致痫区脑信号同步化的形成和时间演变。
英文摘要：
The electroencephalographic (EEG) data intracerebrally recorded from 20 epileptic humans with different brain origins of focal epilepsies or types of seizures, ages and sexes are investigated (nearly 700 million data). Multi channel univariate amplitude analyses are performed and it is shown that time dependent Shannon entropies can be used to predict focal epileptic seizure onsets in different epileptogenic brain zones of different patients. Formations or time evolutions of the synchronizations in the brain signals from epileptogenic or non epileptogenic areas of the patients in ictal interval or inter-ictal interval are further investigated employing spatial or temporal differences of the entropies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
