High-Density (HD) Scalp EEG Findings in “Benign” Childhood Epilepsy with Centrotemporal Spikes (BCECTS)

脑电图 头皮 听力学 癫痫 同步脑电与功能磁共振 心理学 发作性 神经科学 医学 解剖
作者
Sonal Bhatia,Andrew Todd Ham,Ekrem Kutluay
出处
期刊:Clinical Eeg and Neuroscience [SAGE Publishing]
卷期号:55 (2): 248-251 被引量:1
标识
DOI:10.1177/15500594221145265
摘要

Despite characteristic clinical and scalp EEG findings, BCECTS pathophysiology is unclear regarding involvement of large-scale neuronal networks. Higher number of scalp electrodes with HD-EEG may promote accurate localization of the cortical generators in BCECTS providing additional insight in those with neurocognitive problems. We aimed to determine the value of visual interpretation of topographical maps using 256 channels (when compared to standard 21 channel array) HD-EEG in BCECTS and attempted to source localize interictal discharges (IEDs) using Geosource 2 software. Patient records were reviewed for demographic, seizure, brain magnetic resonance imaging (MRI) details; scalp and HD-EEG findings. HD-EEG software was used to review raw EEG data (21 scalp EEG electrodes were compared to 256 HD-EEG electrodes); select, average, and source localize IEDs. Five BCECTS patients with HD-EEG were identified. Seizure onset age ranged from 5–11 years with 1–18 lifetime seizures; both focal ( n = 3) and focal to bilateral tonic-clonic ( n = 2). Neurocognitive co-morbidities noted in our cohort included attention deficit hyperactivity disorder, speech/developmental delay and a specific learning disorder. Scalp EEG showed typical findings with IEDs over the centrotemporal regions (bilateral n = 3; unilateral n = 2). Visualization and inspection of expanded coverage topographic maps with HD-EEG showed well-defined islands of maximum negativity and positivity of a dipole compared to conventional channels where boundary delineation was obscured. Further, HD-EEG localized IEDs/“spike-generator” to areas such as the pre-and post-central, middle-frontal and temporal gyrus, and the inferior parietal lobule. In BCECTS, HD-EEG may show affection for a broader neural network and may provide a better insight into the associated neurocognitive morbidities.
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