Can epileptic seizures be predicted? Evidence from nonlinear time series analysis of brain electrical activity

被引：390

作者：

Lehnertz, K ^{[1
]}

Elger, CE ^{[1
]}

机构：

[1] Univ Bonn, Neurol Klin, Clin Epileptol, D-53105 Bonn, Germany

来源：

PHYSICAL REVIEW LETTERS | 1998年 / 80卷 / 22期

关键词：

D O I：

10.1103/PhysRevLett.80.5019

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We evaluate the capability of nonlinear time series analysis to extract features from brain electrical activity (EEG) predictive of epileptic seizures. Time-resolved analysis of the EEG recorded in 16 patients from within the seizure-generating area of the brain indicate marked changes in nonlinear characteristics for up to several minutes prior to seizures as compared to other states or recording sites. If interpreted as a loss of complexity in brain electrical activity these changes could reflect the hypothesized continuous increase of synchronization between pathologically discharging neurons and allow one to study seizure-generating mechanisms in humans.

引用

页码：5019 / 5022

页数：4

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