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.

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Document Details

Document Type
Technical Report
Publication Date
Nov 04, 2015
Accession Number
AD1002652

Entities

People

  • Laurent Itti

Organizations

  • University of Southern California

Tags

DTIC Thesaurus Topics

  • Attention Deficit Disorder
  • Autism
  • Brain
  • Cardiovascular Physiological Phenomena
  • Data Analysis
  • Diseases And Disorders
  • Eye Movements
  • Health Services
  • Machine Learning
  • Mental Health
  • Military Research
  • Neurosciences
  • Parkinson'S Disease
  • Psychology
  • Supervised Machine Learning
  • United States

Fields of Study

  • Psychology

Readers

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