Abstract
Our objective was to examine if the high-density, 256 channel, scalp interictal EEG data can be used for localizing the epilepsy areas in patients. This was done by examining the long-range temporal correlations (LRTC) of EEGs and also that of the phase synchronization index (SI) of EEGs. It was found that the LRTC of scalp SI plots were better in localizing the seizure areas as compared with the LRTC of EEGs alone. The EEG data of one minute duration was filtered in the low Gamma band of 30-50 Hz. A detrended fluctuation analysis (DFA) was used to find LRTC of the scalp EEG data. Contour plots were constructed using a montage of the layout of 256 electrode positions. The SI was computed after taking Hilbert transform of the EEG data. The SI between a pair of channel was inferred from a statistical tendency to maintain a nearly constant phase difference over a given period of time even though the analytic phase of each channel may change markedly during that time frame. The SI for each electrode was averaged over with the nearby six electrodes. LRTC of the SI was computed and spatial plots were made. It was found that the LRTC of SI was highest at the location of the epileptic sites. A similar pattern was not found in the LRTC of EEGs. This provides a noninvasive way to localize seizure areas from scalp EEG data.
Highlights
Cwithin the brain are highly invasive and involve the placement of intracranial electrodes followed by waiting for one or more seizures to take place while recording a cortical electroencephalogram (ECoG)
Temporal correlations in intracranial EEGs taken during interictal sleep and the locations determined to be the onset sites of epileptic patients using traditional methods. This implies that it may be possible to determine the location of probable seizure onset without the requirement that a patient endure a seizure. This project attempts to replicate the results of Monto et al using high-density scalp EEG recordings, which are entirely noninvasive
Replicating the results would mean that clinicians could localize epileptic areas of interest within a patient’s brain noninvasively and without the patient enduring a seizure, an advance that would greatly benefit the diagnosis of epileptic patients
Summary
Cwithin the brain are highly invasive and involve the placement of intracranial electrodes followed by waiting for one or more seizures to take place while recording a cortical electroencephalogram (ECoG). Monto et al (2007) [1]used detrended fluctuation analysis (DFA) to uncover a correlation between long-term temporal correlations in intracranial EEGs taken during interictal sleep and the locations determined to be the onset sites of epileptic patients using traditional methods. This implies that it may be possible to determine the location of probable seizure onset without the requirement that a patient endure a seizure. In this report, we have further advanced this technology to better localize the epileptic sites by use of the phase synchronization of the scalp EEG data
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