Binnie C D, Aarts J H, Houtkooper M A, Laxminarayan R, Martins da Silva A, Meinardi H, Nagelkerke N, Overweg J
Electroencephalogr Clin Neurophysiol. 1984 Dec;58(6):498-505. doi: 10.1016/0013-4694(84)90038-5.
The time relations of epileptic events have been studied in 3 sets of data: (I) counts of individual epileptiform discharges in twelve 48 h EEG recordings, (IIa) seizure calendars of 30 therapy-resistant outpatients participating in a drug trial, (IIb) seizure calendars of 10 mentally subnormal epileptic patients resident in a long-stay unit. The EEG data I were characterized most often by a Poisson distribution of intervals between discharges and the occurrence of marked periodicities, particularly at night. The periods of rhythmic nocturnal events ranged from 13 to 142 min and did not appear to correspond to the REM/non-REM cycle. In the seizure data IIa and b a Poisson distribution of intervals between events was found in half the patients. Periodicities occurred only in group IIa and did not correspond to weekly or monthly cycles. A stochastic process is considered to be the model which best fits these data.
已在3组数据中研究了癫痫事件的时间关系:(I)12份48小时脑电图记录中单个癫痫样放电的计数,(IIa)参与药物试验的30名耐药门诊患者的癫痫发作日历,(IIb)长期住院的10名智力发育不全癫痫患者的癫痫发作日历。脑电图数据I的特征通常是放电间隔的泊松分布以及明显周期性的出现,尤其是在夜间。有节律的夜间事件周期为13至142分钟,似乎与快速眼动/非快速眼动周期不符。在癫痫发作数据IIa和IIb中,一半患者的事件间隔呈泊松分布。周期性仅出现在IIa组中,且与每周或每月的周期不符。随机过程被认为是最适合这些数据的模型。