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A prospective multi-center study quantifying visual inattention in delirium using generative models of the visual

Ahmed Al-Hindawi1,2, Marcela Vizcaychipi3, Yiannis Demiris4

  • 1Personal Robotics Laboratory, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK. a.al-hindawi@imperial.ac.uk.

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Summary

Delirium impairs visual attention, restricting brain processing. This study used eye-tracking to quantify visual deficits in intensive care unit (ICU) patients with delirium.

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Area of Science:

  • Neuroscience
  • Ophthalmology
  • Critical Care Medicine

Background:

  • Visual attentional deficits in delirium are poorly understood.
  • Previous studies noted neuro-anatomical abnormalities but lacked functional quantification.
  • Delirium affects approximately 25% of hospitalized patients, with significant consequences.

Purpose of the Study:

  • To functionally characterize visual attentional deficits in delirium.
  • To quantify visual processing abnormalities in intensive care unit (ICU) patients.
  • To explore potential mechanisms of visual inattention in delirium.

Main Methods:

  • A multi-center eye-tracking study involving 210 sessions from 42 ICU patients.
  • Utilized a novel free-viewing eye-tracking system and the Confusion Assessment Method in ICU (CAM-ICU) for delirium assessment.
  • Analyzed visual attention as a hierarchical generative process to model fixation distributions.

Main Results:

  • Demonstrated a statistically significant functional restriction in the visual processing system of patients with delirium.
  • Developed a method to compare probabilistic fixation distributions with patient data, yielding a correctness score.
  • Established a quantitative measure for visual attentional deficits in delirium.

Conclusions:

  • The visual processing system is functionally restricted in patients with delirium.
  • This study provides the first exploration of mechanisms underlying visual inattention in delirium.
  • Suggests a new research target for delirium, a condition with substantial patient impact.