Beyond traditional tests: Assessing face recognition in mild cognitive impairment

Area of Science:

• Neuroscience
• Cognitive Psychology
• Gerontology

Background:

• Face recognition is vital for social interaction but is understudied in mild cognitive impairment (MCI).
• Traditional static tests may not fully capture real-world face recognition challenges faced by individuals with MCI.

Purpose of the Study:

• To examine face recognition performance in individuals with MCI using a novel dynamic assessment tool (EGEFACE).
• To compare the neuropsychological correlates of dynamic face recognition with those of a static test (Benton Face Recognition Test).

Main Methods:

• Recruited individuals with MCI (n=46) and cognitively intact (CI) older adults (n=42).
• Administered EGEFACE (dynamic and static stimuli) and the Benton Face Recognition Test (B-FRT).
• Conducted a comprehensive neurocognitive battery assessment.

Main Results:

• Individuals with MCI performed significantly worse than CI participants on both EGEFACE and B-FRT.
• The easy block of EGEFACE showed a larger effect size in differentiating groups (d=0.65) compared to B-FRT (d=0.52).
• EGEFACE performance correlated more specifically with certain cognitive domains than B-FRT, which showed broader associations.

Conclusions:

• EGEFACE, especially its easy block, provides a novel, real-world applicable method for assessing face recognition in MCI.
• Dynamic face recognition assessment offers a refined view of face processing, highlighting its integration within broader neurocognitive networks.
• Dynamic assessment complements traditional tools for evaluating cognitive changes in older adults at risk for decline.