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

Family Adoption Programme
Family Adoption Programme
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
Reconstructing Local Field Potential from realistic computational models for spontaneous and evoked stimuli
Reconstructing Local Field Potential from realistic computational models for spontaneous and evoked stimuli
Light Weight Actuator for Manipulator in Robotic Coconut Tree Climber
Light Weight Actuator for Manipulator in Robotic Coconut Tree Climber
Multi-stimuli Responsive Polymeric Vehicle for Programmed Delivery of Chemotherapeutics to the Cancers
Multi-stimuli Responsive Polymeric Vehicle for Programmed Delivery of Chemotherapeutics to the Cancers
Admissions Apply Now