Electrocorticographic high-gamma modulation with passive listening paradigm for pediatric extraoperative language mapping
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Read the article on pubmed.ncbi.nlm.nih.gov ↗Article · Feb 2018 · 1 min read
In brief
In brief
This study validates passive story-listening with high-gamma ECoG as an alternative to traditional electrical stimulation for language mapping in pediatric epilepsy surgery candidates. The technique showed high specificity (82-84%) and good accuracy in identifying language cortex, particularly in temporoparietal regions, while requiring minimal patient cooperation—a critical advantage for young or cognitively impaired children.
Written by the GCMD Library team from the article.
Objective: This prospective study compared the topography of high-gamma modulation (HGM) during a story-listening task requiring negligible patient cooperation, with the conventional electrical stimulation mapping (ESM) using a picture-naming task, for presurgical language localization in pediatric drug-resistant epilepsy. Methods: Patients undergoing extraoperative monitoring with subdural electrodes were included. Electrocorticographic signals were recorded during quiet baseline and a story-listening task. The likelihood of 70- to 150-Hz power modulation during the listening task relative to the baseline was estimated for each electrode and plotted on a cortical surface model. Sensitivity, specificity, accuracy, and diagnostic odds ratio (DOR) were estimated compared to ESM, using a meta-analytic framework. Results: Nineteen patients (10 with left hemisphere electrodes) aged 4-19 years were analyzed. HGM during story listening was observed in bilateral posterior superior temporal, angular, supramarginal, and inferior frontal gyri, along with anatomically defined language association areas. Compared to either cognitive or both cognitive and orofacial sensorimotor interference with naming during ESM, left hemisphere HGM showed high specificity (0.82-0.84), good accuracy (0.66-0.70), and DOR of 2.23 and 3.24, respectively. HGM was a better classifier of ESM language sites in the left temporoparietal cortex compared to the frontal lobe. Incorporating visual naming with the stor
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