Identification of brain regions involved in epilepsy using common spatial pattern

Samareh Samadi (1, 2) , Ladan Amini (1, 2) , Hamid Soltanian-Zadeh (1) , Christian Jutten (2)

1 CIPCE - Control and Intelligent Processing Center of Excellence - University of Tehran
2 GIPSA-VIBS - GIPSA - Vision and Brain Signal Processing

In this paper, we aim to identify the regions involved in epilepsy from intracerebral EEG (iEEG) of patients suffering from focal epilepsy. Identification of regions involved in epilepsy is important for presurgery evaluations. The proposed method is based on common spatial pattern (CSP) using two types of time intervals: 1) periods including interictal epileptiform discharges (IED), and 2) periods excluding IEDs or abnormal physiological signals. The method is applied on the iEEG recordings of one seizure-free patient after resective surgery. The results are compared with seizure onset zones visually inspected by the epileptologist. The congruent IED regions with visually detected seizure onset zones are encouraging results. Moreover, the application of CSP method for the identification of IED regions seems interesting as this method is fast and simple.

Mots clés: Common Spatial Pattern; General Eigen Value Decomposition; Epilepsy; Intracerebral EEG

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Samareh Samadi, Ladan Amini, Hamid Soltanian-Zadeh, Christian Jutten. Identification of brain regions involved in epilepsy using common spatial pattern. SSP 2011 - 2011 IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France. pp.829-832. ⟨hal-00605699⟩