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Probabilistic comparison of gray and white matter coverage between depth and surface intracranial electrodes in epilepsy.
- Source :
-
Scientific reports [Sci Rep] 2021 Dec 17; Vol. 11 (1), pp. 24155. Date of Electronic Publication: 2021 Dec 17. - Publication Year :
- 2021
-
Abstract
- In this study, we quantified the coverage of gray and white matter during intracranial electroencephalography in a cohort of epilepsy patients with surface and depth electrodes. We included 65 patients with strip electrodes (n = 12), strip and grid electrodes (n = 24), strip, grid, and depth electrodes (n = 7), or depth electrodes only (n = 22). Patient-specific imaging was used to generate probabilistic gray and white matter maps and atlas segmentations. Gray and white matter coverage was quantified using spherical volumes centered on electrode centroids, with radii ranging from 1 to 15 mm, along with detailed finite element models of local electric fields. Gray matter coverage was highly dependent on the chosen radius of influence (RoI). Using a 2.5 mm RoI, depth electrodes covered more gray matter than surface electrodes; however, surface electrodes covered more gray matter at RoI larger than 4 mm. White matter coverage and amygdala and hippocampal coverage was greatest for depth electrodes at all RoIs. This study provides the first probabilistic analysis to quantify coverage for different intracranial recording configurations. Depth electrodes offer increased coverage of gray matter over other recording strategies if the desired signals are local, while subdural grids and strips sample more gray matter if the desired signals are diffuse.<br /> (© 2021. The Author(s).)
- Subjects :
- Adult
Female
Humans
Male
Electrocorticography
Epilepsy diagnostic imaging
Epilepsy physiopathology
Gray Matter diagnostic imaging
Gray Matter physiopathology
Hippocampus diagnostic imaging
Hippocampus physiopathology
Magnetic Resonance Imaging
White Matter diagnostic imaging
White Matter physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 34921176
- Full Text :
- https://doi.org/10.1038/s41598-021-03414-5