Structural brain changes in emotion recognition across the adult lifespan

Area of Science:

• Neuroscience
• Cognitive Aging
• Neuroimaging

Background:

• Emotion recognition (ER) ability typically declines with advancing age.
• The underlying neurobiological mechanisms, particularly structural brain changes like gray matter (GM) atrophy, are not well understood.
• Investigating the link between age-related brain changes and ER decline is crucial for understanding cognitive aging.

Purpose of the Study:

• To determine if age-related decline in ER correlates with reduced GM volume in emotion-related brain regions.
• To explore potential additive or super-additive age-related changes in GM volume that could explain ER deficits in older adults.
• To examine the relationship between facial ER performance and brain structure in a large, aging cohort.

Main Methods:

• Voxel-based morphometry (VBM) analysis was employed.
• Data from the Human Connectome Project-Aging (N=238, ages 36-87) was utilized.
• Facial emotion recognition was assessed, and its correlation with GM volume was analyzed.

Main Results:

• The study did not find significant correlations between age-related ER decline and GM volume changes in specific brain regions after correcting for multiple comparisons.
• Exploratory analyses (P < 0.001, uncorrected) suggested widespread cortical distribution of potential relationships between GM volume and general ER.
• Effect sizes were small, indicating that local GM volume changes account for only a minor portion of ER decline in older adults.

Conclusions:

• Age-related gray matter volume reductions in specific brain regions do not appear to be the primary drivers of declining emotion recognition in older adults.
• While widespread cortical associations may exist, their contribution to ER decline is minimal.
• Further research is needed to identify other neurobiological or cognitive factors contributing to age-related ER deficits.