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Age- and Expertise-Related Differences of Sensorimotor Network Dynamics during Force Control.

Solveig Vieluf1, Karin Mora2, Christian Gölz1

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Neuroscience
|July 27, 2018
PubMed
Summary

Older adults show age-related declines in force control, but expertise can mitigate these effects. This study identified distinct electrophysiological patterns in brain networks associated with age and expertise in motor control.

Keywords:
agingattentional networksdynamic mode decompositionfine motor expertisesensorimotor mapsvariability

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Area of Science:

  • Neuroscience
  • Motor Control
  • Human Aging

Background:

  • Age-related force control deterioration affects behavior and neural activity.
  • Extensive practice can reduce age-related motor control decline.
  • Understanding electrophysiological differences is key to characterizing age and expertise effects.

Purpose of the Study:

  • To identify electrophysiological correlates of age- and expertise-related differences in force control.
  • To compare brain network dynamics in young novices, older novices, and older experts performing a force maintenance task.
  • To investigate the influence of age and expertise on sensorimotor and attentional network activity.

Main Methods:

  • Electroencephalography (EEG) data collected during a force maintenance task.
  • Analysis of force variability and complexity.
  • Dynamic Mode Decomposition (DMD) applied to EEG to assess brain network dynamics and electrode interrelations.
  • Focus on sensorimotor and attentional networks.

Main Results:

  • Older novices exhibited more variable and less complex force control than young novices and older experts.
  • EEG analysis revealed distinct spectral band changes (decreased α, increased θ, low β, high β) related to age and expertise.
  • Older experts showed reduced attentional network activation compared to novices, suggesting different control strategies.

Conclusions:

  • Age and expertise significantly modulate neural control strategies for force maintenance.
  • Electrophysiological markers, particularly in sensorimotor and attentional networks, differentiate age and expertise levels.
  • Findings highlight the potential for targeted training to counteract age-related motor control decline.