Abstract: Various conditions, such as traumatic brain injuries (TBI), diseases, injuries, and/or other impairments, may be diagnosed by deriving a sensitive overall indicator of impairment of sensorimotor functional status based on results of an eye-movement assessment test that includes an appropriately randomized, radial tracking task together with a broad set of oculometric measures. The oculometric measures may be combined to yield the sensitive overall indicator of a particular impairment state. More specifically, the oculometric measures may be vectorized to help diagnose both the type of TBI, disease, or impairment and the extent thereof.

Abstract: An eye movement-based methodology and assessment tool may be used to quantify many aspects of human dynamic visual processing using a relatively simple and short oculomotor task, noninvasive video-based eye tracking, and validated oculometric analysis techniques. By examining the eye movement responses to a task including a radially-organized appropriately randomized sequence of Rashbass-like step-ramp pursuit-tracking trials, distinct performance measurements may be generated that may be associated with, for example, pursuit initiation (e.g., latency and open-loop pursuit acceleration), steady-state tracking (e.g., gain, catch-up saccade amplitude, and the proportion of the steady-state response consisting of smooth movement), direction tuning (e.g., oblique effect amplitude, horizontal-vertical asymmetry, and direction noise), and speed tuning (e.g., speed responsiveness and noise). This quantitative approach may provide fast and results (e.g.