A machine‐learning approach for predicting impaired consciousness in absence epilepsy

A machine‐learning approach for predicting impaired consciousness in absence epilepsy

Abstract Behavior during 3–4 Hz spike‐wave discharges (SWDs) in absence epilepsy can vary from obvious behavioral arrest to no detectible deficits. Knowing if behavior is impaired is crucial for clinical care but may be difficult to determine without specialized behavioral testing, often inaccessibl...

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Bibliographic Details
Main Authors: Max Springer, Aya Khalaf, Peter Vincent, Jun Hwan Ryu, Yasmina Abukhadra, Sandor Beniczky, Tracy Glauser, Heinz Krestel, Hal Blumenfeld
Format: Article
Language:English
Published: Wiley 2022-10-01
Series:Annals of Clinical and Translational Neurology
Online Access:https://doi.org/10.1002/acn3.51647

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