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Updated: Jun 17, 2026

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Corticospinal Excitability Modulation During Action Observation
Published on: December 31, 2013
Simulating the future of actions in the human corticospinal system
Cosimo Urgesi1, Marta Maieron, Alessio Avenanti
1Dipartimento di Filosofia, Università di Udine, Udine, Italy. cosimo.urgesi@uniud.it
Cerebral Cortex (New York, N.Y. : 1991)
|January 7, 2010
Summary
Anticipating future actions activates the human motor system more than observing completed actions. This suggests the brain predicts upcoming movements by simulating them, aiding in understanding others' behavior.
Area of Science:
- Cognitive Neuroscience
- Motor Control
- Action Perception
Background:
- The human motor system activates when viewing static images implying body actions.
- Anticipation of an object's future position is influenced by its motion path.
Purpose of the Study:
- To investigate whether motor activation is higher for upcoming action phases compared to past action phases.
- To determine if the direction of implied motion influences motor facilitation.
Main Methods:
- Utilized single-pulse transcranial magnetic stimulation (TMS) to measure motor facilitation.
- Presented participants with static snapshots of grasp and flick actions at different phases (start, middle, end).
- Collected subjective ratings on perceived motion and anticipation.
Main Results:
- Observation of early and middle action phases (start, middle) resulted in significantly higher motor facilitation than observing final postures.
- Motor facilitation was maximal for incomplete actions, indicating a preference for ongoing movement simulation.
- Subjective ratings confirmed that forward-directed motion, not motion amount, modulated motor facilitation.
Conclusions:
- The frontal component of the observation-execution matching system preferentially activates for anticipatory simulation of future actions.
- This anticipatory mechanism plays a crucial role in the predictive coding of observed motor behaviors.
- The brain actively simulates upcoming actions to predict and understand others' movements.
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