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

Implementation of Intensive Natural Language Processing & Soft Computing Technology Based Extrinsic Plagiarism Detection Tool
Implementation of Intensive Natural Language Processing & Soft Computing Technology Based Extrinsic Plagiarism Detection Tool
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district
Predicting the Landslides through Lateral Flows: A Hydrological Modeling Approach
Predicting the Landslides through Lateral Flows: A Hydrological Modeling Approach
Physics Virtual Labs
Physics Virtual Labs
AI Co-Design of 5G Base Station Hardware and Software
AI Co-Design of 5G Base Station Hardware and Software
Admissions Apply Now