Non-linear, non-invasive method for seizure anticipation in focal epilepsy

被引:13
|
作者
Li, DZ
Zhou, WP
Drury, I
Savit, R [1 ]
机构
[1] Univ Michigan, Dept Phys, Randall Lab 2071, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA
[3] Henry Ford Hlth Syst, Dept Neurol, Detroit, MI USA
[4] Univ Michigan, Ctr Study Complex Syst, Dept Phys, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Michigan Ctr Theoret Phys, Ann Arbor, MI 48109 USA
关键词
epilepsy; seizure; seizure prediction; non-linear; non-linear dynamics; non-linear time series analysis;
D O I
10.1016/S0025-5564(03)00100-7
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper we discuss an approach, using methods of non-linear time series analysis applied to scalp electrode recordings, which is able to distinguish between epochs temporally distant from and just prior to, the onset of a seizure in patients with temporal lobe epilepsy. The method involves a comparison of recordings taken from electrodes adjacent to and remote from the site of ictal onset. In particular, we define a non-linear quantity which we call 'marginal predictability'. This quantity is computed using data from remote and from adjacent electrodes. We find that the difference between the marginal predictabilities computed for the remote and adjacent electrodes decreases several tens of minutes prior to seizure onset, compared to its value interictally. (C) 2003 Elsevier Inc. All rights reserved.
引用
收藏
页码:63 / 77
页数:15
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