System and method for detecting neurological disease

A method of detecting a neurological disease in a subject, the method comprising:

• obtaining eye movement traces from tracked eye movements of the subject;
• identifying a plurality of microsaccades in the eye movement traces;
• characterizing one more dynamics of the microsaccades, the dynamics including a distribution of microsaccade directions;
• assessing one or more differences between the dynamics of the microsaccades as compared to corresponding control microsaccade dynamics;
• and
• generating a report comprising one or more diagnoses related to the neurological disease based on the differences.

A system comprising a host operably connected to an eye tracking device capable of recording eye movement traces from eye movements of a subject, the host having at least one processor configured to:

• receive the eye movement traces from the eye tracking device;
• identify a plurality of microsaccades from the eye movement traces;
• measure one or more dynamics of each microsaccade, the dynamics including a direction measured as an angular deviation from horizontal;
• compare each of the one or more dynamics to a corresponding healthy microsaccade dynamic of a healthy subject;
• assess one or more statistical differences between the one or more determined dynamics and the corresponding healthy microsaccade dynamics, the statistical differences being indicative of the presence of a neurological disease;
• and
• generate a report including one or more diagnoses relating to the neurological disease based on the assessment.