Analysis of seizure EEG in kindled epileptic rats

被引：0

作者：

Department of Mathematical Sciences, Indiana University, Indianapolis, IN, United States ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

机构：

[1] Department of Mathematical Sciences, Indiana University, Indianapolis, IN

[2] Department of Anatomy and Cell Biology, Indiana University School of Medicine, Indianapolis, IN

[3] Division of CNS Research, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN

来源：

Comp. Math. Methods Med. | 2007年 / 4卷 / 225-234期

关键词：

Chirp; EEG; Kindling; Seizure; Wavelet analysis;

D O I：

10.1080/17486700701528970

中图分类号：

学科分类号：

摘要：

Using wavelet analysis we have detected the presence of chirps in seizure EEG signals recorded from kindled epileptic rats. Seizures were induced by electrical stimulation of the amygdala and the EEG signals recorded from the amygdala were analyzed using a continuous wavelet transform. A time-frequency representation of the wavelet power spectrum revealed that during seizure the EEG signal is characterized by a chirp-like waveform whose frequency changes with time from the onset of seizure to its completion. Similar chirp-like time-frequency profiles have been observed in newborn and adult patients undergoing epileptic seizures. The global wavelet spectrum depicting the variation of power with frequency showed two dominant frequencies with the largest amounts of power during seizure. Our results indicate that a kindling paradigm in rats can be used as an animal model of human temporal lobe epilepsy to detect seizures by identifying chirp-like time-frequency variations in the EEG signal.

引用

页码：225 / 234

页数：9

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