Electroencephalography characteristics to predict one-year outcomes in pediatric anti-NMDA receptor encephalitis

Volume: 178, Pages: 106787 - 106787
Published: Dec 1, 2021
Abstract
Electrographic characteristics (extreme delta brush, posterior dominant rhythm and slow waves) may predict outcomes in anti-NMDA receptor encephalitis (NMDARE). However, whether changes in EEG sleep architecture predict outcomes are unknown. We examine electrophysiological characteristics including sleep architecture in a pediatric NMDARE population and correlate with outcomes at one year.Retrospective chart and EEG review was performed in...
Paper Details
Title
Electroencephalography characteristics to predict one-year outcomes in pediatric anti-NMDA receptor encephalitis
Published Date
Dec 1, 2021
Volume
178
Pages
106787 - 106787
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