Optimal Cut Point for Reduction in Long Episode Frequency to Predict Meaningful Change in Clinical Seizure Frequency (P5-9.002)

To examine the optimal cut point for long episode (LE; prolonged abnormal electrographic activity) frequency reduction that predicts clinically meaningful clinical seizure (CS) frequency reduction in patients with a responsive neurostimulator (RNS® System, NeuroPace).

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Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000210548
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimal Cut Point for Reduction in Long Episode Frequency to Predict Meaningful Change in Clinical Seizure Frequency (P5-9.002)

Bradley S. Galer, Arnold R. Gammaitoni, Jacqueline A. French, Cairn G. Seale et al.
Neurology
Epilepsy research and treatment
article

Optimal Cut Point for Reduction in Long Episode Frequency to Predict Meaningful Change in Clinical Seizure Frequency (P5-9.002)

Bradley S. Galer, Arnold R. Gammaitoni, Jacqueline A. French, Cairn G. Seale, Kathryn A. Davis, Daniel Friedman, Martha J. Morrell, Thomas K. Tcheng, William Motley
article en

Abstract

To examine the optimal cut point for long episode (LE; prolonged abnormal electrographic activity) frequency reduction that predicts clinically meaningful clinical seizure (CS) frequency reduction in patients with a responsive neurostimulator (RNS® System, NeuroPace).

NeurologyVol. 104(7_Supplement_1)
California University of Pennsylvania (US), NeuroPace (United States) (US), New York University (US)
Openalex Percentile: Top 91%
Epilepsy research and treatment
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