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

Net Zero Energy Buildings with Consumer-Focused Energy Management Control-An Economic and Societal Impact Analysis for India
Net Zero Energy Buildings with Consumer-Focused Energy Management Control-An Economic and Societal Impact Analysis for India
Accessible and Inclusive AI project
Accessible and Inclusive AI project
Paraptosis: a Newer Approach to Target Cancer
Paraptosis: a Newer Approach to Target Cancer
Dynamic Landslide Early Warning Framework
Dynamic Landslide Early Warning Framework
Modulation of MicroRNA and Transcriptional Regulation of MMP-2 by Natural Products in Human Breast Cancer Cells
Modulation of MicroRNA and Transcriptional Regulation of MMP-2 by Natural Products in Human Breast Cancer Cells
Admissions Apply Now