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

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

Research output: Contribution to journalArticle

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Abstract

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.
Original languageEnglish
Pages (from-to)605–617
Number of pages13
JournalInternational Journal of Bifurcation and Chaos
Volume19
Issue number2
DOIs
Publication statusPublished - Feb 2009

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Animal Model
Microelectrodes
Electroencephalography
Precursor
Spectrum analysis
Animals
High Resolution
Recurrence Quantification Analysis
Statistics
Oscillation
Hippocampus
Epilepsy
Spectral Analysis
Recurrence
Data analysis
Electroencephalogram

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Analysis of high-resolution microelectrode EEG recordings in an animal model of spontaneous limbic seizures. / Komalapriya, C; Romano , M C; Thiel, M; Schwarz, U; Kurths, J; Simonotto, J; Furman, M; Ditto, W L; Carney, P R.

In: International Journal of Bifurcation and Chaos, Vol. 19, No. 2, 02.2009, p. 605–617.

Research output: Contribution to journalArticle

Komalapriya, C ; Romano , M C ; Thiel, M ; Schwarz, U ; Kurths, J ; Simonotto, J ; Furman, M ; Ditto, W L ; Carney, P R. / Analysis of high-resolution microelectrode EEG recordings in an animal model of spontaneous limbic seizures. In: International Journal of Bifurcation and Chaos. 2009 ; Vol. 19, No. 2. pp. 605–617.
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