Saccadic trajectory in characterising cognitive changes in Multiple Sclerosis

Project lead

Binben Chen

Research topic Perception and Learning

Industry application Medical and Surgical

The aim of the project is to study saccadic trajectory deviation in a disease model of impaired inhibitory control. To quantify the saccadic trajectory deviation, we use eight different measures to study the effects of Multiple Sclerosis in different components of the trajectory. We also attempt to classify saccade trajectories between healthy subjects and patients using machine learning techniques.