title: New Eye-Tracking Techniques May Revolutionize Mental Health Screening.
abstract: Visually-guided behavior recruits a network of brain regions so extensive that it is often affected by neuropsychiatric disorders, producing measurable atypical oculomotor signatures. Wang et al. (2015) combine eye tracking with computational attention models to decipher the neurobehavioral signature of autism.
authors.affiliation: Computer Science Department, Psychology Department, and Neuroscience Graduate Program, University of Southern California, 3641 Watt Way, HNB-07A, Los Angeles, CA 90089-2520, USA. Electronic address: itti@usc.edu.
authors.forename: Laurent
authors.initials: L
authors.lastname: Itti
mesh_terms: D000067877:Autism Spectrum Disorder / Q000175:diagnosis* / Q000503:physiopathology*; D005133:Eye Movements / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D010775:Photic Stimulation / Q000379:methods*; D014796:Visual Perception / Q000502:physiology*
keywords: attention; autism spectrum disorder; eye movements; eye tracking; saliency model