Computer mouse movement patterns: A potential marker of mild cognitive impairment

Area of Science:

• Gerontology
• Neuroscience
• Human-Computer Interaction

Background:

• Assessing cognitive function in mild cognitive impairment (MCI) is challenging with traditional methods.
• Subtle changes in daily activities are difficult to quantify in individuals with MCI.
• This study explores novel methods for detecting MCI through everyday computer use.

Purpose of the Study:

• To investigate if computer mouse movement patterns can differentiate between older adults with and without MCI.
• To identify specific mouse movement characteristics associated with MCI.
• To explore the potential of in-home computer monitoring for early MCI detection.

Main Methods:

• Participants included 42 cognitively intact adults and 20 older adults diagnosed with MCI.
• Mouse pointer movement data were collected during one week of routine home computer use.
• Algorithms analyzed mouse movement variables within computer use sessions.

Main Results:

• Individuals with MCI exhibited significantly fewer total mouse movements (p<.01).
• Mouse movements in the MCI group were more variable, less efficient, and included longer pauses (p<.05).
• Mouse movement metrics correlated significantly with various cognitive domains (p's<.01-.05).

Conclusions:

• Computer mouse movement patterns, monitored remotely, show promise as an early biomarker for cognitive changes in MCI.
• This non-invasive method could aid in the early identification of individuals experiencing cognitive decline.
• Routine computer use analysis offers a potential tool for real-world cognitive assessment.