New approach for identification pHFO networks to predict epilleptogenesis

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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.

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Li, Lin 2022-07-15/2026-06-30.

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This text is part of the collection entitled: UNT Funded Research Projects and was provided by the UNT College of Engineering to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 25 times. More information about this text can be viewed below.

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  • Li, Lin Principal Investigator, University of North Texas

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UNT College of Engineering

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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.

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  • Grant Number: R16NS131108
  • Grant Number: GN22-0027
  • Grant Number: GAWD000071
  • Archival Resource Key: ark:/67531/metadc1961251

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UNT Funded Research Projects

Records for grants awarded to researchers at the University of North Texas. These records establish unique identifiers that are publicly accessible for these research projects. In most cases, the data management plan for the project has been deposited with the item. Each record has a link to a full bibliography of the research output including data and publications.

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  • 2022-07-15/2026-06-30

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  • July 19, 2022, 7:53 a.m.

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  • July 20, 2022, 12:51 p.m.

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Li, Lin. New approach for identification pHFO networks to predict epilleptogenesis, text, 2022-07-15/2026-06-30; (https://digital.library.unt.edu/ark:/67531/metadc1961251/: accessed May 15, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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