ETMT: A Tool for Eye-Tracking-Based Trail-Making Test to Detect Cognitive Impairment

Area of Science:

• Neuroscience
• Cognitive Psychology
• Biomedical Engineering

Background:

• Rising global cognitive impairment necessitates efficient screening tools.
• Shortage of mental health experts limits early detection and intervention.
• Eye tracking offers novel insights into cognitive processes and behavior.

Purpose of the Study:

• To introduce the Eye-Tracking-Based Trail-Making Test (ETMT) as a novel screening tool for cognitive function.
• To assess the efficacy of ETMT in quantifying visual search speed and focused attention.
• To develop an adaptive neuro-fuzzy inference system for calculating an overall cognitive impairment score.

Main Methods:

• Development of the ETMT system integrating eye-tracking technology.
• Utilization of a fuzzy-inference system to analyze visual search speed and attention.
• Implementation of an adaptive neuro-fuzzy inference system for comprehensive scoring.

Main Results:

• The ETMT model effectively assesses cognitive abilities and identifies deficits.
• Significant changes in eye movement behavior associated with cognitive impairment were captured.
• The system provides a quantitative measure of cognitive decline.

Conclusions:

• The ETMT is a promising tool for evaluating cognitive impairment.
• It offers a convenient, affordable, and objective method for cognitive assessment.
• The tool can aid in prioritizing healthcare resources and improving practitioner feedback.