Back close

Neurology: Epilepsy, Spatial Events and Models

Neurology: Epilepsy, Spatial Events and Models

With Dr. Anand Kumar, Dr. Siby Gopinath, and Dr. Harilal Parasuram from the School of Medicine, we are exploring the possibility of understanding the mechanisms involved in the processing of Spatio-temporal events in the brain and how these information-based tools can be used to help patients with neurological disorders. In a recently published paper (Parasuram et al., 2021), we have looked into the epileptogenicity index (EI) which computationally estimates the epileptogenicity of brain structures based on the temporal domain parameters and magnitude of ictal discharges. Methods like ER can improve the accuracy of epileptogenic zone localization for brain resection and increase the precision of minimally invasive surgery techniques by identifying the epileptic hubs where the lesion is extensive or in non-lesional cases.

Related Projects

Production, Optimization and Characterization of Chitinase Enzyme Produced By Aspergillus Sp
Production, Optimization and Characterization of Chitinase Enzyme Produced By Aspergillus Sp
Experimental and numerical investigations of roof slab for future fast breeder reactors
Experimental and numerical investigations of roof slab for future fast breeder reactors
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Measurement of burning velocities of hydrocarbon hydrogen mixtures and application to premixed laminar burner design
Measurement of burning velocities of hydrocarbon hydrogen mixtures and application to premixed laminar burner design
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Admissions Apply Now