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PapersNo Access

ANALYSIS OF HIGH-RESOLUTION MICROELECTRODE EEG RECORDINGS IN AN ANIMAL MODEL OF SPONTANEOUS LIMBIC SEIZURES

Centre for Dynamics of Complex Systems, University of Potsdam, 14476 Potsdam, Germany

Potsdom Institute for Climate Impact Research, 14412 Potsdam, Germany

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Department of Physics, University of Aberdeen, Aberdeen, AB 24 3UE, UK

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Department of Physics, University of Aberdeen, Aberdeen, AB 24 3UE, UK

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Centre for Dynamics of Complex Systems, University of Potsdam, 14476 Potsdam, Germany

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Centre for Dynamics of Complex Systems, University of Potsdam, 14476 Potsdam, Germany

Potsdom Institute for Climate Impact Research, 14412 Potsdam, Germany

Department of Physics, Humboldt University, Berlin, 12489 Berlin, Germany

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School of Computing Science, University of Newcastle upon Tyne, NE1 7RU, UK

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Department of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK

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Department of Biomedical Engineering, University of Florida, FL 32611, USA

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Department of Biomedical Engineering, University of Florida, FL 32611, USA

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https://doi.org/10.1142/S0218127409023226Cited by:6 (Source: Crossref)

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.

Keywords:

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Vol. 19, No. 02

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Received 14 April 2008

Revised 6 May 2008

Keywords