Related Experiment Video
Updated: May 3, 2026

06:31
Force and Position Control in Humans - The Role of Augmented Feedback
Published on: June 19, 2016
7.3K
Reduced Neural Differentiation Between Feedback Conditions After Bimanual Coordination Training with and without
Iseult A M Beets1, Jolien Gooijers1, Matthieu P Boisgontier1
1KU Leuven, Group Biomedical Sciences, Movement Control and Neuroplasticity Research Group, 3001 Leuven, Belgium.
Cerebral Cortex (New York, N.Y. : 1991)
|February 7, 2014
Summary
Learning bimanual coordination with feedback (FB) and no feedback (NFB) reduces brain region differences over time. Practice makes brain activity for FB and NFB movements converge, especially during execution.
Area of Science:
- Neuroscience
- Motor Control
- Cognitive Science
Background:
- Bimanual coordination with augmented feedback (FB) engages distinct brain regions compared to no feedback (NFB).
- The long-term effects of practice on these distinct neural patterns remain unclear.
Purpose of the Study:
- To investigate how brain activity during bimanual coordination evolves with practice under both FB and NFB conditions.
- To compare the neural differences between FB and NFB during movement planning and execution phases across learning.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used in human participants.
- Participants performed a bimanual tracking task under visual FB and NFB conditions.
- fMRI scans were acquired before and after two weeks of mixed FB and NFB training.
Main Results:
- Initial whole-brain activations differed significantly between FB and NFB movements.
- These neural distinctions diminished with practice, particularly during the movement execution phase.
- Activation in the right dorsal premotor cortex and right dorsolateral prefrontal cortex converged for both conditions post-training.
Conclusions:
- Motor learning reduces the neural differentiation between feedback-dependent and feedback-independent bimanual coordination.
- Increased online monitoring in NFB trials suggests enhanced internal error detection after practice.
- A generic internal reference may support motor control across varying feedback conditions post-learning.

