Multimodal Prognostic Model to Predict Post-Stroke Epilepsy (P7-9.004)

To determine if adding acute EEG findings to the SeLECT score variables improves post-stroke epilepsy (PSE) predictive models.

Authors

Nicolas R. Thompson (ORCID: https://orcid.org/0000-0002-8973-5219)
Vijaya Dasari
Vineet Punia (ORCID: https://orcid.org/0000-0002-0552-6736)

Institutions

Cleveland Clinic (US)
Quantitative BioSciences (US)

Publication Details

Journal: Neurology
Published: 2025-04-07
DOI: https://doi.org/10.1212/wnl.0000000000208683
Primary Topic: Brain Tumor Detection and Classification
Type: article
Field-Weighted Citation Impact: 0.00

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article

Multimodal Prognostic Model to Predict Post-Stroke Epilepsy (P7-9.004)

Nicolas R. Thompson, Vijaya Dasari, Vineet Punia

Apr 7, 2025

Neurology

Brain Tumor Detection and Classification

article

Multimodal Prognostic Model to Predict Post-Stroke Epilepsy (P7-9.004)

Nicolas R. Thompson, Vijaya Dasari, Vineet Punia

April 7, 2025article en

Abstract

To determine if adding acute EEG findings to the SeLECT score variables improves post-stroke epilepsy (PSE) predictive models.

NeurologyVol. 104(7_Supplement_1)

Cleveland Clinic (US), Quantitative BioSciences (US)

Openalex Percentile: Top 91%

Brain Tumor Detection and Classification

DOI Source OpenAlex

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Multimodal Prognostic Model to Predict Post-Stroke Epilepsy (P7-9.004) — Nicolas R. Thompson, Vijaya Dasari, et al. · Neurology (2025) | TGRS Research Map | TGRS