Analysis of high-resolution microelectrode EEG recordings in an animal model of 
spontaneous limbic seizures

Komalapriya, Chandrasekaran; Romano, M. C.; Thiel, M.; Schwarz, U.; Kurths, Jürgen; Simonotto, J.; Furman, M.; Ditto, W. L.; Carney, P. R.

doi:10.1142/S0218127409023226

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

Analysis of high-resolution microelectrode EEG recordings in an animal model of spontaneous limbic seizures

Authors

/persons/resource/chandrasekaran.komalapriya

Komalapriya, Chandrasekaran
Potsdam Institute for Climate Impact Research;

Romano, M. C.
External Organizations;

Thiel, M.
External Organizations;

Schwarz, U.
External Organizations;

/persons/resource/Juergen.Kurths

Kurths, Jürgen
Potsdam Institute for Climate Impact Research;

Simonotto, J.
External Organizations;

Furman, M.
External Organizations;

Ditto, W. L.
External Organizations;

Carney, P. R.
External Organizations;

URL

There are no locators available

フルテキスト (公開)

There are no public fulltexts stored in PIKpublic

付随資料 (公開)

There is no public supplementary material available

引用

Komalapriya, C., Romano, M. C., Thiel, M., Schwarz, U., Kurths, J., Simonotto, J., Furman, M., Ditto, W. L., & Carney, P. R. (2009). Analysis of high-resolution microelectrode EEG recordings in an animal model of spontaneous limbic seizures. International Journal of Bifurcation and Chaos, 19(2), 605-617. doi:10.1142/S0218127409023226.

引用: https://publications.pik-potsdam.de/pubman/item/item_15308

要旨

We perform a systematic data analysis on high resolution (0.5–12 kHz) multiarray microelectrode recordings from an animal model of spontaneous limbic epilepsy, to investigate the role of high frequency oscillations and the occurrence of early precursors for seizures. Results of spectral analysis confirm the importance of very high frequency oscillations (even greater than 600 Hz) in normal (healthy) and abnormal (epileptic) hippocampus. Furthermore, we show that the measures of Recurrence Quantification Analysis (RQA) and Recurrence Time Statistics (RTS) are successful in indicating, rather uniquely, the onset of ictal state and the occurrence of some warnings/precursors during the pre-ictal state, in contrast to the linear measures investigated.