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

Computational Linguistics for Sanskrit Scriptures
Computational Linguistics for Sanskrit Scriptures
Climate Change Impact and Self Help Adaptation Strategies in the Sunderban Region of West Bengal
Climate Change Impact and Self Help Adaptation Strategies in the Sunderban Region of West Bengal
Virtual laboratory NMEICT project
Virtual laboratory NMEICT project
Modeling fMRI BOLD Correlates of Neural Circuit Activity
Modeling fMRI BOLD Correlates of Neural Circuit Activity
Rotating machine degradation monitoring based on multi sensor signal fusion using deep learning models
Rotating machine degradation monitoring based on multi sensor signal fusion using deep learning models
Admissions Apply Now