Extracting seizure onset from surface EEG with Independent Component Analysis: insights from simultaneous scalp and intracerebral EEG
Andrei Barborica, Ioana Mindruta (UMPCD), Laurent Sheybani, Laurent, Spinelli, Irina Oane, Constantin Pistol, Cristian Donos, Victor J, L\'opez-Madrona (INS, AMU, INSERM), Serge Vulliemoz, Christian B\'enar (INS,, AMU, INSERM), V\'ictor L\'opez-Madrona, Christian-George B\'enar

TL;DR
This study introduces a method combining independent component analysis and dipole localization to identify seizure onset zones from scalp EEG, validated with simultaneous intracranial recordings, showing promising accuracy especially for superficial sources.
Contribution
The paper presents a novel approach using ICA and dipole localization to improve non-invasive seizure onset zone detection from scalp EEG data.
Findings
ICA can capture ictal activity from scalp EEG
Localization accuracy is up to 10mm for superficial sources
Deeper sources have reduced localization accuracy, averaging 47mm
Abstract
The success of stereoelectroencephalographic (SEEG) investigations depends crucially on the hypotheses on the putative location of the seizure onset zone. This information is derived from non-invasive data either based on visual analysis or advanced source localization algorithms. While source localization applied to interictal spikes recorded on scalp is the classical method, it does not provide unequivocal information regarding the seizure onset zone. Raw ictal activity contains a mixture of signals originating from several regions of the brain as well as EMG artifacts, hampering direct input to the source localization algorithms. We therefore introduce a methodology that disentangles the various sources contributing to the scalp ictal activity using independent component analysis and uses equivalent current dipole localization as putative locus of ictal sources. We validated the…
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