Title
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.
Year
DOI
Venue
2013
10.1109/TBME.2013.2247401
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
optimisation,reference activation model,reference state,resective surgery,medical disorders,general eigenvalue decomposition,visually inspected ictal onset zones,intracerebral electroencephalography (ieeg),neurophysiology,background activity,interictal epileptiform state,epilepsy,electroencephalography,correlation matrices,intracerebral electroencephalography recording,focal epilepsy,medical signal processing,reference-based source separation method,interictal epileptiform discharges,source separation,abnormal physiological signal,source extraction,feature extraction,ied region identification,brain region identification,intracerebral eeg,general eigenvalue decomposition (gevd),eigenvalues and eigenfunctions,multiobjective optimization,surgery,ied state,optimization,correlation,computer simulation,electrodes,algorithms,brain mapping
Brain mapping,Epileptologist,Computer vision,Intracerebral EEG,Neurophysiology,Computer science,Artificial intelligence,Ictal,Source separation,Electroencephalography
Journal
Volume
Issue
ISSN
60
7
1558-2531
Citations 
PageRank 
References 
2
0.42
6
Authors
5
Name
Order
Citations
PageRank
Samareh Samadi130.79
Ladan Amini220.42
Delphine Cosandier-Rimélé320.42
Hamid Soltanian-Zadeh461384.11
Christian Jutten52925439.04