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New approach for identification pHFO networks to predict epilleptogenesis (open access)

New approach for identification pHFO networks to predict epilleptogenesis

Data management plan for the grant, "New approach for identification pHFO networks to predict epilleptogenesis." About 40% of epilepsy patients fail to control seizures after treatment, and currently there is no treatment that can prevent epilepsy. The goal of this study is to perform multi-scale electrophysiological investigations combine with advanced computational algorithm development to understand the characteristics of the pathological brain networks during the latent period of epilepsy. The findings of this project will lead to a better understanding of the network mechanisms of epileptogenesis and suggest novel approaches to prevent the process of epileptogenesis.
Date: 2022-07-15/2026-06-30
Creator: Li, Lin
System: The UNT Digital Library