“Thanks to the PSI Foundation’s support, we showed that a quick, affordable robotic test can reliably detect thinking and memory problems in people with epilepsy. By combining this tool with advanced brain imaging, we are improving our understanding of the brain changes behind these difficulties. This paves the way for more tailored treatments in the future.” -Dr. Gavin Winston
About Dr. Gavin Winston
Dr. Gavin Winston is a Professor in the Department of Medicine at Queen’s University, with a cross-appointment to the School of Computing and affiliation with the Centre for Neuroscience Studies. He is also a Visiting Professor at the UCL Queen Square Institute of Neurology.
With more than 20 years of experience across Europe and North America, Dr. Winston is a clinician scientist whose work sits at the intersection of neuroimaging, neurotechnology, and machine learning. His research focuses on improving how cognitive impairments are detected and understood in people with epilepsy including the use of robotic technology. Other research interests include improving the detection of the underlying abnormality in patients with normal conventional MRI scans using novel quantitative contrasts and machine learning techniques.
About the Funded Study
Epilepsy affects approximately 1 in 100 people, and for many, the impact extends beyond seizures. Difficulties with memory, attention, and thinking are common, yet they are often underdiagnosed because traditional testing can be expensive and difficult to access.
Through the PSI Clinical Research grant, Dr. Winston’s team evaluated a new approach using the Kinarm Endpoint Robot, a robotic system that measures brain function through movement-based tasks. His study, aptly titled “Neuroimaging Biomarkers of Cognitive Dysfunction in Epilepsy”, found that there was a strong agreement between this technology and standard cognitive tests, confirming it can serve as a reliable and efficient screening tool.
The robotic assessments also provided more detailed insights, namely that many patients experience slower processing speed and reduced accuracy–even when motor skills remain largely intact. These differences are often difficult to detect with conventional methods. When combined with advanced MRI techniques, the research also identified changes in brain networks associated with memory, attention, and planning.

Impact of the Funded Study
Cognitive impairment is a major factor affecting quality of life for the roughly 300,000 Canadians living with epilepsy, yet it remains widely underrecognized. This PSI-funded study shows that faster and more accessible screening is possible, which could allow more patients to be assessed earlier and more accurately. Earlier detection opens the door to better support, more informed care decisions, and improved daily functioning.
Dr. Winston’s research is already influencing how clinicians and researchers think about epilepsy and cognitive health. By demonstrating that robotic assessments can capture subtle cognitive changes, the study supports a shift toward more scalable and precise screening methods. The findings also contribute to the growing understanding of epilepsy as a network disorder, where disruptions across interconnected brain systems shape cognitive outcomes. These insights may help guide the development of targeted treatments and provide measurable biomarkers for future clinical trials.
Building on Dr. Winston’s work, a $2.3 million grant from the Weston Foundation is supporting the development of a mobile brain health lab led by Prof. Stephen Scott, inventor of the Kinarm and co-investigator for this work. This initiative aims to bring advanced cognitive assessment tools directly into communities, helping to reduce barriers such as cost and geographic access while enabling larger-scale research.
Dr. Winston’s work reflects a broader shift toward technology-enabled healthcare. By combining robotics with advanced brain imaging, his research is helping move the field closer to earlier detection, clearer understanding, and more personalized treatment of cognitive challenges in epilepsy.
