Reference-based source separation method for identification of brain regions involved in a reference state from intracerebral EEG

Abstract : In this paper, we present a fast method to extract the sources related to interictal epileptiform state. The method is based on general eigenvalue decomposition using two correlation matrices during: 1) periods including interictal epileptiform discharges (IED) as a reference activation model and 2) periods excluding IEDs or abnormal physiological signals as background activity. After extracting the most similar sources to the reference or IED state, IED regions are estimated by using multiobjective optimization. The method is evaluated using both realistic simulated data and actual intracerebral electroencephalography recordings of patients suffering from focal epilepsy. These patients are seizure-free after the resective surgery. Quantitative comparisons of the proposed IED regions with the visually inspected ictal onset zones by the epileptologist and another method of identification of IED regions reveal good performance.
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Samareh Samadi, Ladan Amini, Delphine Cosandier-Rimélé, Hamid Soltanian-Zadeh, Christian Jutten. Reference-based source separation method for identification of brain regions involved in a reference state from intracerebral EEG. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2013, 60 (7), pp.1983-92. ⟨10.1109/TBME.2013.2247401⟩. ⟨inserm-00847619⟩

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