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

doi:10.1142/S0218127409023226

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

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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 language	English
Pages (from-to)	605–617
Number of pages	13
Journal	International Journal of Bifurcation and Chaos
Volume	19
Issue number	2
DOIs	https://doi.org/10.1142/S0218127409023226
Publication status	Published - Feb 2009

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Cite this

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title = "Analysis of high-resolution microelectrode EEG recordings in an animal model of spontaneous limbic seizures",

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.",

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AU - Romano , M C

AU - Thiel, M

AU - Schwarz, U

AU - Kurths, J

AU - Simonotto, J

AU - Furman, M

AU - Ditto, W L

AU - Carney, P R

N1 - A paid open access option is available for this journal. On author's personal website or institutional repository Publisher's version/PDF cannot be used Set statement to accompany preprint and postprint - see policy

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AB - 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.

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DO - 10.1142/S0218127409023226

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

Abstract

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