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Brain Structural-Behavioral Correlates Underlying Grooved Pegboard Test Performance Across Lifespan.

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Aging impacts fine motor skills, affecting Grooved Pegboard Test (GPT) performance. Brain structure, particularly white matter tracts and gray matter in key regions, correlates with these age-related changes in visuomotor abilities.

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Area of Science:

  • Neuroscience
  • Human Aging Research
  • Cognitive Psychology

Background:

  • Age-related decline in fine motor skills is a significant concern.
  • The Grooved Pegboard Test (GPT) is a common measure of fine motor dexterity.
  • Previous research has not fully elucidated the brain structural correlates of age differences in GPT performance.

Purpose of the Study:

  • To identify the first brain structural-behavioral correlates of age differences in Grooved Pegboard Test (GPT) performance.
  • To investigate these correlates while controlling for demographic, health, and cognitive factors.

Main Methods:

  • Recruited 210 right-handed participants aged 20-80 years.
  • Conducted behavioral assessments: Grooved Pegboard Test (GPT), Trail Making Test, and stop-signal task.
  • Acquired magnetic resonance imaging (MRI) to analyze brain structure.

Main Results:

  • Age differences in GPT performance were positively associated with visuomotor tracking.
  • Negative associations were found between GPT performance and widespread brain structural measures.
  • These included white matter tracts and gray matter in frontal, cingulate, parietal, and temporal regions.

Conclusions:

  • Brain structural integrity in specific white matter tracts and gray matter regions is linked to age-related changes in fine motor skills.
  • Visuomotor tracking abilities also play a role in age-related GPT performance differences.
  • These findings contribute to understanding the neurobiological basis of motor aging.