ArticleNeurology2022
Factors Predicting Outcome After Intracranial EEG Evaluation in Patients With Medically Refractory Epilepsy.
Article in Neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Passive neuromodulation: an energy-driven mechanism for closed-loop suppression of epileptic seizures.bioRxiv : the preprint server for biology · 2026Article
- Harmonic patterns embedded in ictal EEG signals in focal epilepsy: new insight into the epileptogenic zone.BMC medicine · 2026Article
- Optimizing the diagnostic timing for drug-resistant epilepsy: balancing timeliness and stability with an antiseizure medication waiting period.Therapeutic advances in neurological disorders · 2026Article
- Neuroimaging of Ictal MEG: An Evaluation of Magnetic Source Imaging Techniques.Brain topography · 2025Article
- Applications and Predictors of Outcomes Following Stereo-Electroencephalography in Pediatric Patients With Drug-Resistant Epilepsy.CNS neuroscience & therapeutics · 2025Article
- Predictors of SOZ localization, subsequent surgical intervention, and seizure outcomes in iEEG.Annals of clinical and translational neurology · 2024Article
- Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives.Royal Society open science · 2024Article
- Article
- Nomograms Should Not Be Used by General Neurologists When Considering Referral for Epilepsy Surgery.Epilepsy currentsArticle
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
BACKGROUND AND
objectivesThe aim of this study was to identify predictors of a resective surgery and subsequent seizure freedom following intracranial EEG (ICEEG) for seizure-onset localization.
methodsThis is a retrospective chart review of 178 consecutive patients with medically refractory epilepsy who underwent ICEEG monitoring from 2002 to 2015. Univariable and multivariable regression analysis identified independent predictors of resection vs other options. Stepwise Akaike information criteria with the aid of clinical consideration were used to select the best multivariable model for predicting resection and outcome. Discrete time survival analysis was used to analyze the factors predicting seizure-free outcome. Cumulative probability of seizure freedom was analyzed using Kaplan-Meier curves and compared between resection and nonresection groups. Additional univariate analysis was performed on 8 select clinical scenarios commonly encountered during epilepsy surgical evaluations.
resultsMultivariable analysis identified the presence of a lesional MRI, presurgical hypothesis suggesting temporal lobe onset, and a nondominant hemisphere implant as independent predictors of resection ( DISCUSSION: Unfavorable predictors, including having nonlesional extratemporal epilepsy, should not deter a thorough presurgical evaluation, including with invasive recordings in many cases. Resective surgery without functional impairment offers the best chance for sustained seizure freedom and should always be considered first. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that the presence of a lesional MRI, presurgical hypothesis suggesting temporal lobe onset, and a nondominant hemisphere implant are independent predictors of resection. Focal ICEEG onset and undergoing resection are independent predictors of 5-year seizure freedom.
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