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Updated: Jun 23, 2026

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Measurement of Spatial Stability in Precision Grip
Published on: June 4, 2020
fMRI effects of task demand and feedback accuracy on grip force tracking
Annette Sterr1, Shan Shen, Cornelia Kranczioch
1Department of Psychology, University of Surrey, Guildford GU2 7XH, UK. a.sterr@surrey.ac.uk
Neuroscience Letters
|May 12, 2009
Summary
This study reveals that poorer performance in visually guided force control tasks correlates with higher brain activity in the visuomotor network. These findings suggest a direct link between task difficulty, neural demand, and performance in force control.
Area of Science:
- Neuroscience
- Motor Control
- Human Performance
Background:
- Force control in visually guided tasks is sensitive to feedback accuracy and force-varying rate.
- Previous studies indicate that higher feedback accuracy and greater force-varying rates impair task performance.
Purpose of the Study:
- To investigate the neural mechanisms underlying performance decrements in visually guided force control.
- To examine the relationship between task difficulty, brain activation, and performance using functional magnetic resonance imaging (fMRI).
Main Methods:
- Functional magnetic resonance imaging (fMRI) was employed to measure brain activity.
- Participants performed a visually guided continuous tracking task with varying feedback accuracy and force-varying rates.
- The blood-oxygen-level-dependent (BOLD) response was analyzed to assess neural activity in the visuomotor network.
Main Results:
- Task performance decreased with higher feedback accuracy and greater force-varying rates.
- fMRI data revealed increased BOLD signal in the visuomotor network during the task.
- Poorer performance conditions consistently showed higher activation levels in the visuomotor network, indicating parametric modulation by task difficulty.
Conclusions:
- Performance costs in visually guided force control are associated with increased neural demand within the visuomotor network.
- The findings suggest an interdependent and parallel neural control system for visual feedback and force output rate.
- This control is likely mediated by a shared neural network, adapting to task difficulty and force production demands.

