title: Video-based eye tracking for neuropsychiatric assessment.
abstract: This paper presents a video-based eye-tracking method, ideally deployed via a mobile device or laptop-based webcam, as a tool for measuring brain function. Eye movements and pupillary motility are tightly regulated by brain circuits, are subtly perturbed by many disease states, and are measurable using video-based methods. Quantitative measurement of eye movement by readily available webcams may enable early detection and diagnosis, as well as remote/serial monitoring, of neurological and neuropsychiatric disorders. We successfully extracted computational and semantic features for 14 testing sessions, comprising 42 individual video blocks and approximately 17,000 image frames generated across several days of testing. Here, we demonstrate the feasibility of collecting video-based eye-tracking data from a standard webcam in order to assess psychomotor function. Furthermore, we were able to demonstrate through systematic analysis of this data set that eye-tracking features (in particular, radial and tangential variance on a circular visual-tracking paradigm) predict performance on well-validated psychomotor tests.
authors.affiliation: School of Medicine, Stanford University, Stanford, California.|Department of Management Science and Information Systems, Rutgers University, Newark, New Jersey.|Division of Intelligent Systems, Sysoft Corporation, Whitehouse Station, New Jersey.
authors.forename: Sam
authors.initials: S
authors.lastname: Adhikari
authors.affiliation: Institute for Next Generation Healthcare, and Department of Health System Design and Global Health, Icahn School of Medicine at Mount Sinai, New York, New York.
authors.forename: David E
authors.initials: DE
authors.lastname: Stark
mesh_terms: D019295:Computational Biology; D003936:Diagnosis, Computer-Assisted; D053483:Eye Movement Measurements; D005240:Feasibility Studies; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D020407:Internet; D001523:Mental Disorders / Q000175:diagnosis / Q000503:physiopathology; D009422:Nervous System Diseases / Q000175:diagnosis* / Q000503:physiopathology; D009460:Neurologic Examination / Q000295:instrumentation / Q000379:methods*; D009483:Neuropsychological Tests; D010865:Pilot Projects; D011596:Psychomotor Disorders / Q000175:diagnosis / Q000503:physiopathology; D011597:Psychomotor Performance; D012025:Reflex, Pupillary; D015203:Reproducibility of Results; D017216:Telemedicine / Q000295:instrumentation / Q000379:methods*; D014741:Video Recording
keywords: computational imaging; diagnostic; digital health; eye tracking; neuropsychiatric assessment; quantitative phenotyping