cCOG: A web-based cognitive test tool for detecting neurodegenerative disorders

Area of Science:

• Neuroscience
• Digital Health
• Cognitive Assessment

Background:

• Web-based cognitive tests offer standardized screening for neurodegenerative disorders.
• Accurate and consistent detection of mild cognitive impairment (MCI) and dementia is crucial for early intervention.

Purpose of the Study:

• To evaluate the accuracy and consistency of cCOG, a computerized cognitive tool, in identifying MCI and dementia.
• To compare cCOG's performance against standard neuropsychological tests.

Main Methods:

• Analysis of clinical data from 306 cognitively normal, 120 MCI, and 69 dementia subjects across three European cohorts.
• Comparison of global cognitive scores from standard neuropsychological tests with cCOG-derived scores.
• Assessment of cCOG's consistency in clinical versus home-based settings.

Main Results:

• cCOG demonstrated high accuracy (ROC-AUC 0.71-0.84 for MCI, 0.86-0.94 for dementia) in both clinical and home settings.
• cCOG's accuracy was comparable to traditional neuropsychological tests (AUC 0.69-0.77 for MCI, 0.91-0.92 for dementia).

Conclusions:

• cCOG is a promising tool for detecting MCI and dementia.
• The tool offers a potentially cost-effective approach, including feasibility for home-based cognitive assessments.