Epilepsy, Surgery and Cognition Meets Imaging and Robotics

​After a brief introduction to seizures, epilepsy, surgery and cognition, I will tackle three diferent areas of research. Firstly, I will discuss the role of robotic-assisted screening for cognitive impairment, before turning to machine learning approaches to detect the epileptogenic zone/lesion. Finally, I will present some preliminary data from an ongoing project on modelling seizure recurrence risk after first seizure.

Gavin Winston

​Professor, Department of Medicine and School of Computing, Queen's University

​Medical Director, Kingston Health Sciences Centre EEG Laboratory

Dr. Winston’s research develops and applies computational neuroimaging approaches to assist people with refractory focal epilepsy undergoing neurosurgical treatment, and to better understand the cognitive comorbidities and outcomes from surgery. His research group has improved the detection of brain abnormalities causing seizures using novel quantitative contrasts and machine learning techniques. He contributes to two international multicentre neuroimaging studies, MELD (Multi-Centre Epilepsy Lesion Detection) and ENIGMA Epilepsy. Other current research work includes exploring cognitive impairment present in people with epilepsy using robotics and neuroimaging, predicting risk of seizure recurrence after a first seizure using multimodal biomarker-based models incorporating MRI, EEG and cognition and development of wearable EEG technology for ambulatory monitoring of seizures.