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Updated: May 8, 2026
10:13
Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
Published on: February 14, 2014
Age-related functional reorganization, structural changes, and preserved cognition.
David Meunier1, Emmanuel A Stamatakis, Lorraine K Tyler
1Centre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Cambridge, UK.
Neurobiology of Aging
|August 15, 2013
Summary
Healthy aging involves brain changes, but preserved cognitive function suggests compensation. This study reveals that while aging reduces specific brain network connectivity, overall functional connectivity increases, indicating less efficient, more distributed brain network engagement.
Area of Science:
- Neuroscience
- Cognitive Aging Research
Background:
- Healthy aging often involves general cognitive decline, but individuals show varied cognitive preservation.
- Compensatory mechanisms are proposed for preserved function amid age-related brain changes, though evidence is limited, especially beyond frontal cortex functions.
- The relationship between widespread age-related neural changes and cognitive compensation remains unclear.
Purpose of the Study:
- To investigate the interplay between age-related structural and functional brain changes and preserved cognitive function during spoken language comprehension.
- To explore how neural network properties relate to aging, neuroanatomy, and behavior without explicit task demands.
Main Methods:
- Utilized functional magnetic resonance imaging (fMRI) during naturalistic spoken language comprehension.
- Employed a graph theoretical approach to construct cognitive activation-related functional networks.
- Correlated network properties (e.g., connectivity) with participant age, neuroanatomical data, and cognitive performance.
Main Results:
- Decreased gray matter integrity correlated with reduced connectivity in core language regions.
- A simultaneous increase in overall functional connectivity was observed with aging.
- This age-related network reorganization was characterized by decreased efficiency, suggesting a shift towards more distributed processing.
Conclusions:
- Aging-related decreases in specialized neural network connectivity may drive compensatory increases in overall functional connectivity.
- This compensatory mechanism appears less efficient, potentially reflecting a broader network engagement to maintain cognitive function.
- Findings suggest that reduced connectivity within dedicated brain networks may necessitate the recruitment of more distributed networks in aging.
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