Grant: Operating Grant
University of Toronto
$418,000.00
Classification and control of the electrical activities in the brain's neural networks under epileptic seizure conditions
EF 2012-13
Résumé
Epilepsy is a disorder manifested by recurrent seizures. It affects ~1% of the population and is intractable in ~25% of patients. The currrent treatments include: anticonvulsive drugs, ketogenic diet, surgery and electrical (vagal and deepbrain) stimulation. The drug therapy may have significant side effects, and the existing electrical stimulation therapies have limited demonstrated efficacy for treating intractable epilepsies. The aim of this research is to provide the foundation for an alternative therapy which involves a "smart" device that learns a patient's seizure signature, and then delivers an appropriate electrical stimulus to supress the seizures.
We are proposing the development of software and hardware for an electronic device for classification of the various states of the brain's electrical epileptiform activities and then delivering appropriate "responsive" electrical stimuli to the brain tissue, at the right time and location, to suppress full-blown seizure events.
In the long term, this might significantly improve the quality of life for epileptic patients.
Programme
Operating Grant
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
266027
Name
Bardakjian Berj L
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Biomedical Engineering
Projecttitle
Classification and control of the electrical activities in the brain's neural networks under epileptic seizure conditions
Programtype2
Operating Grants
Orgnameinp2
University of Toronto
Cihramount2
$418,000
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Artificial Neural Networks; Computer Models; Empirical Mode Decomposition; Epilepsy; Intracellular And Extracellular Recordings; Neural Engineering; Neuromodulators; Rodent Hippocampal Preparations; Spatiotemporal Signal Processing; Wavelet Transform
Abstract
Epilepsy is a disorder manifested by recurrent seizures. It affects ~1% of the population and is intractable in ~25% of patients. The currrent treatments include: anticonvulsive drugs, ketogenic diet, surgery and electrical (vagal and deepbrain) stimulation. The drug therapy may have significant side effects, and the existing electrical stimulation therapies have limited demonstrated efficacy for treating intractable epilepsies. The aim of this research is to provide the foundation for an alternative therapy which involves a "smart" device that learns a patient's seizure signature, and then delivers an appropriate electrical stimulus to supress the seizures.
We are proposing the development of software and hardware for an electronic device for classification of the various states of the brain's electrical epileptiform activities and then delivering appropriate "responsive" electrical stimuli to the brain tissue, at the right time and location, to suppress full-blown seizure events.
In the long term, this might significantly improve the quality of life for epileptic patients.
Competitiondate
201209
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Bardakjian, Berj L
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $418,000~ $0~
