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Dynamic network features of functional and structural brain networks support visual working memory in aging adults.

Josh Neudorf1,2, Kelly Shen1,2, Anthony R McIntosh1,2

  • 1Institute for Neuroscience and Neurotechnology, Simon Fraser University, Burnaby, Canada.

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Summary
This summary is machine-generated.

As we age, brain network dynamics and structural connectivity adapt to support visual working memory (VWM). Specific network transitions become more efficient, aiding cognitive function in older adults.

Keywords:
diffusion-weighted magnetic resonance imagingdynamic functional connectivityhealthy agingnetwork control theoryresting-state functional magnetic resonance imagingvisual working memory

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Brain Network Dynamics

Background:

  • Visual working memory (VWM) capacity and precision decline with age after peaking in early adulthood.
  • Understanding age-related changes in brain network connectivity is crucial for cognitive health.

Purpose of the Study:

  • To investigate how the relationship between structural and functional brain connectivity changes across the lifespan to support VWM.
  • To identify age-specific network dynamics and structural underpinnings of VWM performance.

Main Methods:

  • Analysis of functional brain network dynamics associated with VWM across different age groups.
  • Network control theory simulations to model the impact of structural connectivity on functional transitions.
  • Examination of structural connectivity differences in relation to VWM performance across the lifespan.

Main Results:

  • Default Mode Network and Fronto-Parietal Network states were associated with better VWM performance.
  • Older adults showed enhanced transitions from Visual/Somatomotor to Attention Network states, linked to better VWM.
  • Structural connectivity supporting these transitions varied by age, with specific networks being more critical in younger versus older adults.

Conclusions:

  • Structural connectivity facilitates flexible functional brain dynamics that support VWM across the lifespan.
  • Age-related adaptations in network transitions and structural connectivity contribute to maintained VWM.
  • Findings may inform interventions to preserve VWM function throughout aging.