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

Novel Anti-MRSA Compounds from Padina tetrastromatica: Identification, Isolation and Mass Spectrometric characterization
Novel Anti-MRSA Compounds from Padina tetrastromatica: Identification, Isolation and Mass Spectrometric characterization
Quantum Technologies
Quantum Technologies
Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Automating Anxiety Detection using Respiratory Signal Analysis
Automating Anxiety Detection using Respiratory Signal Analysis
Improving Adherence to Drugs among Persons with Coronary Artery Disease
Improving Adherence to Drugs among Persons with Coronary Artery Disease
Admissions Apply Now