TEMPORAL DISTRIBUTION OF SEIZURES IN EPILEPSY

被引:90
作者
TAUBOLL, E [1 ]
LUNDERVOLD, A [1 ]
GJERSTAD, L [1 ]
机构
[1] NORWEGIAN COMP CTR,OSLO,NORWAY
关键词
EPILEPSY; BIORHYTHMS; STOCHASTIC PROCESSES; SEIZURE OCCURRENCE; CATAMENIAL EPILEPSY;
D O I
10.1016/0920-1211(91)90084-S
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
A major problem in epileptology is why a seizure occurs at a particular moment in time. An initial step in solving this problem is a detailed analysis of the temporal distribution of seizures. Using methods and theories of stochastic processes, seizure patterns in a group of epileptic outpatients were examined for stationarity, randomness, dependency and periodicity in a prospective study. Sixteen of the 21 seizure diaries included in the study showed stationarity; 2 were non-stationary and 3 inconclusive. Eleven of the 16 stationary diaries were non-Poisson (P < 0.005), indicating that in the majority of patients seizures did not occur randomly. The most frequently encountered phenomenon was seizure clustering. Clustering was considered when the diaries fulfilled all three criteria: (1) a positive R-test (P < 0.001); (2) deviation from the fitted Poisson distribution towards clustering; and (3) the feature of an autoregressive process in the autocorrelogram plot. Dependency between seizure events was demonstrated in 8 of the 16 stationary diaries, computing first order transition probabilities. A detailed analysis of seizure occurrence is a major step towards a better understanding of the mechanisms underlying seizure precipitation. This is exemplified by our finding of a relation between seizure frequency and the menstrual cycle.
引用
收藏
页码:153 / 165
页数:13
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