1. High-gamma modulation language mapping with stereo-EEG: A novel analytic approach and diagnostic validation.
- Author
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Ervin B, Buroker J, Rozhkov L, Holloway T, Horn PS, Scholle C, Byars AW, Mangano FT, Leach JL, Greiner HM, Holland KD, and Arya R
- Subjects
- Adolescent, Brain Mapping methods, Child, Child, Preschool, Electroencephalography methods, Female, Gamma Rhythm physiology, Humans, Male, Photic Stimulation methods, Prospective Studies, Reproducibility of Results, Young Adult, Brain Mapping standards, Drug Resistant Epilepsy diagnosis, Drug Resistant Epilepsy physiopathology, Electroencephalography standards, Language, Stereotaxic Techniques standards
- Abstract
Objective: A novel analytic approach for task-related high-gamma modulation (HGM) in stereo-electroencephalography (SEEG) was developed and evaluated for language mapping., Methods: SEEG signals, acquired from drug-resistant epilepsy patients during a visual naming task, were analyzed to find clusters of 50-150 Hz power modulations in time-frequency domain. Classifier models to identify electrode contacts within the reference neuroanatomy and electrical stimulation mapping (ESM) speech/language sites were developed and validated., Results: In 21 patients (9 females), aged 4.8-21.2 years, SEEG HGM model predicted electrode locations within Neurosynth language parcels with high diagnostic odds ratio (DOR 10.9, p < 0.0001), high specificity (0.85), and fair sensitivity (0.66). Another SEEG HGM model classified ESM speech/language sites with significant DOR (5.0, p < 0.0001), high specificity (0.74), but insufficient sensitivity. Time to largest power change reliably localized electrodes within Neurosynth language parcels, while, time to center-of-mass power change identified ESM sites., Conclusions: SEEG HGM mapping can accurately localize neuroanatomic and ESM language sites., Significance: Predictive modelling incorporating time, frequency, and magnitude of power change is a useful methodology for task-related HGM, which offers insights into discrepancies between HGM language maps and neuroanatomy or ESM., (Copyright © 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)
- Published
- 2020
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