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Corticospinal Excitability Modulation During Action Observation
Published on: December 31, 2013
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Corticocerebellar Effective Connectivity During Adapting to vs. Ignoring Delayed Visual Movement Feedback.
Zhenyu Wang1, Jakub Limanowski1
1Institut für Psychologie, Universität Greifswald, Greifswald, Germany.
The European Journal of Neuroscience
|March 17, 2026
Summary
The cerebellum communicates predictions to the brain's visuomotor network, enabling adaptation to delayed sensory feedback during movement. This brain connectivity is crucial for flexible action control.
Area of Science:
- Neuroscience
- Cognitive Science
- Motor Control
Background:
- Internal brain models are essential for flexible action control.
- These models involve predictions of body state and sensory consequences of actions.
- The cerebellum plays a key role in these predictive processes.
Purpose of the Study:
- To investigate the neural mechanisms underlying visuomotor adaptation.
- To determine if task-dependent connectivity changes explain observed hemodynamic responses.
- To test the hypothesis that cerebellar predictions are communicated to the cortical visuomotor network.
Main Methods:
- A virtual reality hand-target matching task with delayed visual feedback.
- Functional magnetic resonance imaging (fMRI) to measure hemodynamic responses.
- Dynamic Causal Modeling (DCM) to analyze effective connectivity between brain regions.
Main Results:
- Increased hemodynamic responses were observed in the cerebellum, V5, and intraparietal sulcus during adaptation.
- Dynamic Causal Modeling revealed increased excitatory influence from the right cerebellum (Lobule VI) to bilateral V5 and the IPS.
- Increased mutual excitation was found between the right cerebellum and the left IPS during adaptation.
Conclusions:
- Cerebellar predictions are communicated to the cortical visuomotor network, underpinning visuomotor adaptation.
- Connectivity changes, particularly involving the cerebellum, are critical for adapting to delayed sensory feedback.
- This study elucidates the neural basis of flexible motor control and learning.
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