Epilepsy affects 50 million people worldwide. 12 million strokes occur annually. Both conditions significantly impact individuals and healthcare systems.
Stroke and cerebrovascular diseases are the leading causes of seizures and epilepsy in adults, providing a valuable opportunity to study the processes underlying epilepsy development.
Epilepsy after stroke typically emerges following a silent period lasting months to years, providing a window of opportunity for preventive treatments.
We harness collaboration between leading international experts to study the processes underlying post-stroke epilepsy and provide practical tools for clinicians and patients.
We provide several models to calculate the risk of epilepsy after ischemic stroke. They are implemented in practical web and smartphone application.
We are committed to supporting evidence-based decision-making through statistical models. To facilitate their use in clinical practice, we have gathered the most widely used models for predicting epilepsy risk on a single platform.
The SeLECT Consortium is conducting several ongoing multicenter research projects focused on the risk of post-stroke epilepsy and antiepileptogenesis. Consortium members can participate in these projects and access detailed project outlines through a password-protected site.
We encourage consortium members and the broader research community to submit new project proposals utilizing SeLECT Consortium data. To submit a proposal, please complete the project proposal form and contact us.
The SeLECT score is a validated, simple, and practical prognostic model designed to predict the risk of post-stroke epilepsy. It is used to guide clinical decisions and support the recruitment of participants for post-stroke epilepsy trials.
Reperfusion treatments, such as intravenous thrombolysis and thrombectomy, do not increase the risk of post-stroke seizures. Our matched, statistically robust analyses confirm the safety of these procedures in relation to seizure risk.
Acute symptomatic status epilepticus is a major predictor of mortality and a strong risk factor for epilepsy following a stroke. We have incorporated this finding into the updated SeLECT 2.0 prognostic model.
The risk of seizures after stroke can affect driving safety regulations. Using the SeLECT model, we developed an evidence-based approach to enable personalized decision-making regarding driving permissions.
Tonic-clonic seizures on the same day as stroke bear the highest risk of post-stroke epilepsy. We implemented these findings in a novel model for those with acute symptomatic seizures.
Findings on early (<7 day) EEG after stroke help predict post-stroke epilepsy. We developed and validated an updated prognostic model for those who had an early EEG after stroke.
