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Related Experiment Video

Updated: Jun 8, 2025

Measurement of Spatial Stability in Precision Grip

Measurement of Spatial Stability in Precision Grip

Published on: June 4, 2020

Reward invigorates isometric gripping actions.

Rachel M Marbaker, Ryan C Schmad, Razan A Al-Ghamdi

Biorxiv : the Preprint Server for Biology

|November 1, 2024

Summary

This summary is machine-generated.

The prospect of reward makes people grip harder and faster, showing that reward invigorates isometric actions. This effect optimizes effort for quicker, accurate gripping without unnecessary exertion.

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Last Updated: Jun 8, 2025

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Published on: March 19, 2020

Area of Science:

Neuroscience
Motor Control
Decision Science

Background:

Individuals tend to move faster towards more rewarding stimuli.
The effect of reward on implicit control of isometric actions, such as gripping, is not well understood.
Understanding reward generalization to effortful actions is crucial for explaining motivated behavior.

Purpose of the Study:

To investigate whether reward-related invigoration generalizes to isometric force gripping.
To determine how reward prospect influences implicit characteristics of gripping actions.
To explore the brain's trade-off between reward and effort costs in motor control.

Main Methods:

Participants (N=19) performed isometric gripping tasks with force feedback mapped to cursor movement.
Targets appeared in different locations, with one consistently rewarded across trials within blocks.
Grip force, reaction time, and force characteristics were measured to assess performance.

Main Results:

Participants reacted faster and generated greater grip force more rapidly when aiming for rewarded targets.
Accuracy and the integral of force over time were maintained despite increased force generation speed.
Reward-based invigoration was observed in isometric gripping, mediated by selective increases in effort.

Conclusions:

Reward-related invigoration generalizes to isometric force tasks, influencing motor vigor.
The brain balances reward value and effort cost to optimize action execution for faster reward acquisition.
Findings offer insights into decision-making processes and the implicit control of movement accuracy.