Behavioral and cognitive markers of mild cognitive impairment: diagnostic value of saccadic eye movements and Simon

Negin Chehrehnegar1,2, Vahid Nejati3,4, Mohsen Shati5

  • 1Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.

Abstract

Insights

Eye tracking and behavioral tests show promise in detecting early signs of amnestic mild cognitive impairment (a-MCI). These sensitive tools can help identify a-MCI in its preclinical stage, distinguishing it from healthy individuals.

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Ophthalmology

Background:

  • Mild Cognitive Impairment (MCI) is a prodromal stage of Alzheimer's Disease (AD).
  • Subtle executive function deficits, particularly in inhibitory control, are observed in MCI.
  • Amnestic MCI (a-MCI) specifically impacts memory and executive functions.

Purpose of the Study:

  • To differentiate amnestic MCI (a-MCI) patients from healthy controls using attentional and inhibitory control measures.
  • To identify sensitive saccade and behavioral tasks for detecting a-MCI.
  • To explore the utility of eye-tracking and behavioral data in preclinical a-MCI detection.

Main Methods:

  • Neuropsychological, behavioral, and oculomotor experiments were conducted.
  • Participants included 59 controls, 49 a-MCI subjects, and 21 early AD patients.
  • Eye tracking and the Simon task measured attentional control; saccades were analyzed in gap and overlap pro-saccade and anti-saccade tasks.

Main Results:

  • Simon task performance correlated with cognitive status, distinguishing a-MCI from controls (AUC 0.65 for reaction time, 0.59 for false responses).
  • Saccadic gains were significantly affected in a-MCI, proving most sensitive for distinguishing a-MCI from controls (AST gap task AUC 0.7, PST gap task AUC 0.63, AST overlap task AUC 0.73).
  • Combined parallel testing improved detection sensitivity to 0.97.

Conclusions:

  • Eye tracking and behavioral data are sensitive tools for detecting a-MCI in the preclinical stage.
  • These methods offer a promising approach for early identification of a-MCI.
  • The findings support the integration of oculomotor and behavioral assessments in MCI diagnostics.

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