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Targeted density electrode placement achieves high concordance with traditional high-density EEG for electrical source imaging in epilepsy.
- Source :
-
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2023 Dec; Vol. 156, pp. 262-271. Date of Electronic Publication: 2023 Aug 23. - Publication Year :
- 2023
-
Abstract
- Objective: High-density (HD) electroencephalography (EEG) is increasingly used in presurgical epilepsy evaluation, but it is demanding in time and resources. To overcome these issues, we compared EEG source imaging (ESI) solutions with a targeted density and HD-EEG montage.<br />Methods: HD-EEGs from patients undergoing presurgical evaluation were analyzed. A low-density recording was created by selecting the 25 electrodes of a standard montage from the 83 electrodes of the HD-EEG and adding 8-11 electrodes around the electrode with the highest amplitude interictal epileptiform discharges. The ESI solution from this "targeted" montage was compared to that from the HD-EEG using the distance between peak vertices, sublobar concordance and a qualitative similarity measure.<br />Results: Fifty-eight foci of forty-three patients were included. The median distance between the peak vertices of the two montages was 13.2 mm, irrespective of focus' location. Tangential generators (n = 5/58) showed a higher distance than radial generators (p = 0.04). We found sublobar concordance in 54/58 of the foci (93%). Map similarity, assessed by an epileptologist, had a median score of 4/5.<br />Conclusions: ESI solutions obtained from a targeted density montage show high concordance with those calculated from HD-EEG.<br />Significance: Requiring significantly fewer electrodes, targeted density EEG allows obtaining similar ESI solutions as traditional HD-EEG montage.<br /> (Copyright © 2023 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1872-8952
- Volume :
- 156
- Database :
- MEDLINE
- Journal :
- Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
- Publication Type :
- Academic Journal
- Accession number :
- 37704552
- Full Text :
- https://doi.org/10.1016/j.clinph.2023.08.009