Correlating Multi-dimensional Oculometrics with Cognitive Performance in Healthy Youth Athletes

Gaurav N. Pradhan, Jamie Bogle, Samantha Kleindienst, Michael J. Cevette, Jan Stepanek

Research output: Contribution to journalArticlepeer-review


There is a need for a practical objective measure to detect mild changes in cognitive performance as early signs of concussion in youth or other special populations. In this paper, we propose a novel correlation model that establishes the relationship between oculometrics extracted from raw eye movements during a mental workload task and cognitive performance. We assessed differences in cognitive performance in terms of age for youth athletes based on oculometrics pertaining to fixations and saccades. In this cross-sectional study, oculometrics were measured on 440 healthy youth athletes aged 7 to 15 years. Oculometrics pertaining to fixations (fixation time, fixation size, and surface area of fixation) and saccades (total saccadic amplitude, average saccadic amplitude, and saccadic velocity) were measured and compiled into a multivariate oculometric database by age. We discovered that the combined power of fixations and saccades provided the strongest correlation with cognitive performance—a finding that is evident across all ages as well as all levels of mental workload difficulty. Specifically, the combined observations of fixation time, saccadic velocities, and saccadic amplitudes provided us an understanding of cognitive performance during different levels of mental workload difficulty across all age groups. This study is the first step towards establishing normative, multi-dimensional oculometrics for fixations and saccades in young athletes (7 to 15 years) who are at risk for concussion in sports and recreational activities.

Original languageEnglish (US)
Pages (from-to)132-151
Number of pages20
JournalJournal of Healthcare Informatics Research
Issue number1-2
StatePublished - Jun 1 2018


  • Cognitive performance
  • Concussion
  • Eye tracking
  • Fixations
  • Oculometrics
  • Saccades

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Information Systems
  • Artificial Intelligence


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