基于大脑皮层信息传输理论的局灶性癫痫脑电研究(英文)

Partial Epileptic Electroencephalogram as Studied by Information Transmission in Cerebral Cortex

目的了解正常人及癫痫病人在不同生理状态下的脑电图的信息传输量的规律性 ,比较在不同条件下信息传输的差异。方法引用一种称为“信息传输”的理论来计算局灶性癫痫患者脑电的皮层信息传输序列 ,并计算该序列的复杂度 ,用复杂度来描述信息传输序列的信息含量。比较了正常人和局灶性癫痫病患者以及患者在诱发癫痫发作的不同时期的大脑皮层信息传输。结果发现局灶性癫痫病人的大脑皮层信息传输有非常特殊的现象。正常人各导联间的信息传输量趋于随机 ,未发现特别规律 ;而局灶性癫痫病人痫性导联与其它导联的皮层信息传输量在癫痫发作前 37s有所增加 (P <0 .0 5) ;在患者病情发作时期 ,痫性导联之间的信息传输量有明显增加 (P <0 .0 1 ) ,同时 ,该信息传输量也比正常人有显著增大 (P <0 .0 1 ) ;相反 ,非痫性导联之间的信息传输量有显著降低。结论认为这个方法在研究和理解人脑功能时可能是一个有潜力的方法 ,可能用于预报癫痫发作 。

Objective To investigate the effects of different physiological states in partial epileptic patients or normal persons on information transmission in the cerebral cortex, and to compare the differences among different conditions. Method The method described by Vastano JA and Swinney HL was used to calculate the information transmission time series in human cerebral cortex basing on the electroencephalogram (EEG). The complexity measures of the time series were calculated and were used to characterize the information contents in the time series. Then the complexity values during different physiological states were compared. Result It was observed that there were some interesting contrasts between the values in normal persons and partial epileptic patients, as well as those between the values before and during seizure. The information transmission activities among the various leads in normal subjects approached to randomization;the differences appeared about 3~7 s before the seizure, and the complexity values became high (P<0.05)between one epileptic and one other lead in epileptic patients, and the values were apparently higher(P<0.01)between two epileptic leads in epileptic patient during seizure. They were also apparently higher(P<0.01)during seizure than those in normal persons;on the contrary, they were significantly lower between two non epileptic leads. Conclusion The results suggest that the method may be a new potential way to understand human brain functions and could be used in predicting epileptic seizure and in the research or diagnosis of partial epilepsy disease.