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

Automated Screening and Intervention for Persons with Speech Disabilities
Automated Screening and Intervention for Persons with Speech Disabilities
Particulate Polymer Composites for Space Applications: Modeling and Simulation of Physical, Mechanical and Rheological Properties
Particulate Polymer Composites for Space Applications: Modeling and Simulation of Physical, Mechanical and Rheological Properties
Context Aware User Profiles for Mobile Phones
Context Aware User Profiles for Mobile Phones
AI-Powered Coconut Dehusker
AI-Powered Coconut Dehusker
Predicting Soil Loss and Sediment Yield in Upper Cauvery Sub-Basin: A GIS-Based Approach
Predicting Soil Loss and Sediment Yield in Upper Cauvery Sub-Basin: A GIS-Based Approach
Admissions Apply Now