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Seizure localization using three-dimensional surface projections of intracranial EEG power.

Authors :
Lee HW
Youngblood MW
Farooque P
Han X
Jhun S
Chen WC
Goncharova I
Vives K
Spencer DD
Zaveri H
Hirsch LJ
Blumenfeld H
Source :
NeuroImage [Neuroimage] 2013 Dec; Vol. 83, pp. 616-26. Date of Electronic Publication: 2013 Jul 11.
Publication Year :
2013

Abstract

Intracranial EEG (icEEG) provides a critical road map for epilepsy surgery but it has become increasingly difficult to interpret as technology has allowed the number of icEEG channels to grow. Borrowing methods from neuroimaging, we aimed to simplify data analysis and increase consistency between reviewers by using 3D surface projections of intracranial EEG poweR (3D-SPIER). We analyzed 139 seizures from 48 intractable epilepsy patients (28 temporal and 20 extratemporal) who had icEEG recordings, epilepsy surgery, and at least one year of post-surgical follow-up. We coregistered and plotted icEEG β frequency band signal power over time onto MRI-based surface renderings for each patient, to create color 3D-SPIER movies. Two independent reviewers interpreted the icEEG data using visual analysis vs. 3D-SPIER, blinded to any clinical information. Overall agreement rates between 3D-SPIER and icEEG visual analysis or surgery were about 90% for side of seizure onset, 80% for lobe, and just under 80% for sublobar localization. These agreement rates were improved when flexible thresholds or frequency ranges were allowed for 3D-SPIER, especially for sublobar localization. Interestingly, agreement was better for patients with good surgical outcome than for patients with poor outcome. Localization using 3D-SPIER was measurably faster and considered qualitatively easier to interpret than visual analysis. These findings suggest that 3D-SPIER could be an improved diagnostic method for presurgical seizure localization in patients with intractable epilepsy and may also be useful for mapping normal brain function.<br /> (© 2013.)

Details

Language :
English
ISSN :
1095-9572
Volume :
83
Database :
MEDLINE
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
23850575
Full Text :
https://doi.org/10.1016/j.neuroimage.2013.07.010