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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Changing topological patterns in normal aging using large-scale structural networks.

Wanlin Zhu1, Wei Wen, Yong He

  • 1School of Psychiatry, University of New South Wales, Sydney, Australia.

Neurobiology of Aging
|August 21, 2010
PubMed
Summary
This summary is machine-generated.

Aging alters brain structure networks. Older adults show reduced global efficiency and altered regional connectivity, particularly in the hippocampus and insula, compared to younger adults.

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Area of Science:

  • Neuroscience
  • Network Science
  • Gerontology

Background:

  • Understanding normal aging processes is crucial for identifying age-related cognitive changes.
  • Brain structural networks provide a framework for examining age-related alterations in neural organization.

Purpose of the Study:

  • To investigate topological patterns of structural brain networks in healthy aging.
  • To compare network properties between two distinct age cohorts separated by 20 years.

Main Methods:

  • Constructed structural brain networks using graph theory with 90 cortical and subcortical regions as nodes.
  • Analyzed interregional correlations of grey matter volumes to define network edges.
  • Examined topological properties including global efficiency, local clustering, and regional centrality.

Main Results:

  • Both age cohorts exhibited small-world brain network architecture.
  • The older cohort (mean age 66.6) displayed lower global efficiency and higher local clustering than the younger cohort (mean age 46.7).
  • Older adults showed reduced hemispheric asymmetry and decreased centrality in regions like the hippocampus and insula, but not the prefrontal cortex.

Conclusions:

  • Structural brain networks exhibit significant topological changes with normal aging.
  • These network alterations may underlie functional connectivity and cognitive changes observed in older adults.
  • Findings highlight the dynamic nature of brain structure across the adult lifespan.