Automatic Extraction of Oculographic Signals as Digital Biomarkers for Alzheimer's Disease

Similar to other neurological diseases, subtle early neurological changes that occur in Alzheimer’s Disease (AD) are difficult to quantify and track objectively. One relevant bio‐signal is eye movement, as it presents a unique window into cognitive processes as a direct measure of real‐time inputs to the brain. Eye‐tracking allows us to estimate timestamped activity of neural function and begin to infer and quantify attention, reprocessing (eg. word revisits), and many other aspects relevant to assessing AD. The goal of this study was to investigate the saccadic movements and trial progress during administration of the Stroop test in AD compared to normal controls.