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Multi-component intrinsic brain activities as a safe alternative to cortical stimulation for sensori-motor mapping in neurosurgery.
- Source :
-
Clinical Neurophysiology . Sep2018, Vol. 129 Issue 9, p2038-2048. 11p. - Publication Year :
- 2018
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Abstract
- Objective To assess the feasibility of multi-component electrocorticography (ECoG)-based mapping using “wide-spectrum, intrinsic-brain activities” for identifying the primary sensori-motor area (S1-M1). Methods We evaluated 14 epilepsy patients with 1514 subdural electrodes implantation covering the perirolandic cortices at Kyoto University Hospital between 2011 and 2016. We performed multi-component, ECoG-based mapping (band-pass filter, 0.016–300/600 Hz) involving combined analyses of the single components: movement-related cortical potential (<0.5–1 Hz), event-related synchronization (76–200 Hz), and event-related de-synchronization (8–24 Hz) to identify the S1-M1. The feasibility of multi-component mapping was assessed through comparisons with single-component mapping and electrical cortical stimulation (ECS). Results Among 54 functional areas evaluation, ECoG-based maps showed significantly higher rate of localization concordances with ECS maps when the three single-component maps were consistent than when those were inconsistent with each other (p < 0.001 in motor, and p = 0.02 in sensory mappings). Multi-component mapping revealed high sensitivity (89–90%) and specificity (94–97%) as compared with ECS. Conclusions Wide-spectrum, multi-component ECoG-based mapping is feasible, having high sensitivity/specificity relative to ECS. Significance This safe (non-stimulus) mapping strategy, alternative to ECS, would allow clinicians to rule in/out the possibility of brain function prior to resection surgery. [ABSTRACT FROM AUTHOR]
- Subjects :
- *EPILEPSY
*ELECTRODES
*SYNCHRONIZATION
*SURGICAL excision
*CARTOGRAPHY
Subjects
Details
- Language :
- English
- ISSN :
- 13882457
- Volume :
- 129
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Clinical Neurophysiology
- Publication Type :
- Academic Journal
- Accession number :
- 131071814
- Full Text :
- https://doi.org/10.1016/j.clinph.2018.06.007