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Related Experiment Video

Updated: Mar 19, 2026

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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Sub-Networks of the Brain R2 Structural Connectome Integrity Matrix (SCIM) and Older Adult Cognitive and Motor

Melissa Lamar1,2, Maude Wagner1,3, Sue E Leurgans1,2,3

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Summary
This summary is machine-generated.

Mapping the aging brain

Keywords:
R2brain agingcognitionmotor functionstructural connectometransverse relaxation rates

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Area of Science:

  • Neuroimaging
  • Neuroscience
  • Aging Brain Research

Background:

  • Structural connectome mapping is crucial for understanding brain aging.
  • Late-life brain connectivity presents unique mapping challenges.

Purpose of the Study:

  • To develop and validate a novel approach for assessing structural connectome integrity in older adults.
  • To investigate the relationship between structural connectome integrity and cognitive/motor functions over time.

Main Methods:

  • Utilized a structural connectivity-based atlas and transverse relaxation rates (R2) to create a connectome integrity matrix.
  • Analyzed neuroimaging data from 1239 participants (mean age ~79 years).
  • Employed factor analysis to identify four distinct Sub-Networks (SNs) and regression models to assess associations with cognitive and motor outcomes.

Main Results:

  • Identified four distinct Sub-Networks (SN-1, SN-2, SN-3, SN-4) based on white matter connection integrity.
  • Lower R2 integrity in SN-1, SN-2, and SN-4 was linked to lower baseline global cognition.
  • Lower R2 integrity in SN-2 and SN-3 predicted faster cognitive decline.
  • Most SNs showed negative associations with baseline motor function, with SN-1 and SN-4 linked to gait speed changes over time.

Conclusions:

  • The developed approach effectively assesses aging structural connectome integrity and its Sub-Networks.
  • Structural connectome integrity is associated with cognitive and motor performance and decline in older adults.
  • Findings highlight the differential impact of Sub-Network integrity on cognitive and motor aging.