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Resting-state aperiodic neural dynamics predict individual differences in visuomotor performance and learning.

Maarten A Immink1, Zachariah R Cross2, Alex Chatburn2

  • 1Sport, Health, Activity, Performance and Exercise (SHAPE) Research Centre, Flinders University, Adelaide, Australia; Cognitive and Systems Neuroscience Research Hub, University of South Australia, Adelaide, Australia.

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Summary

Resting-state aperiodic neural activity, specifically 1/f slope and intercept, predicts visuomotor performance. Steeper slopes correlate with faster reaction times and higher perceptual sensitivity under demanding conditions.

Keywords:
1/f brain activityAperiodic activityEEGIndividual differencesMotor learningPerceptionReaction timeVisuomotor performance

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Human Performance

Background:

  • Resting-state non-oscillatory (aperiodic, 1/f) neural activity is increasingly recognized as a marker of cognitive capacity.
  • Previous research has primarily focused on motor coordination, leaving the role of aperiodic neural dynamics in visuomotor performance unexplored.

Purpose of the Study:

  • To determine if individual 1/f intercept and slope parameters of aperiodic resting-state neural activity predict reaction time and perceptual sensitivity.
  • To investigate the relationship between aperiodic neural dynamics and visuomotor performance in a demanding marksmanship task.

Main Methods:

  • Participants completed an immersive virtual reality marksmanship task with incrementally increasing motor and perceptual demands over three training sessions.
  • Resting-state electroencephalography (EEG) data was analyzed to extract 1/f intercept and slope parameters.
  • Reaction time and perceptual sensitivity (d') were measured as performance outcomes.

Main Results:

  • A steeper 1/f slope was associated with shorter reaction times under high motor demand, independent of practice.
  • Increased 1/f intercept and steeper slope correlated with higher perceptual sensitivity under peak perceptual demand and initial exposure.
  • Individuals with lower 1/f intercept and shallower slope showed the greatest improvements in perceptual sensitivity with practice.

Conclusions:

  • Individual differences in visuomotor performance capacity can be predicted by resting-state aperiodic neural dynamics.
  • Aperiodic neural parameters are particularly informative for predicting performance under complex and demanding task conditions.
  • 1/f aperiodic parameters may also identify individuals likely to benefit most from task practice and training.