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Updated: May 21, 2026

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Corticospinal Excitability Modulation During Action Observation
Published on: December 31, 2013
Time-dependent changes in human corticospinal excitability reveal value-based competition for action during decision
Miriam Cornelia Klein-Flügge1, Sven Bestmann
1Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, University College London (UCL), London, WC1N3BG, United Kingdom. m.klein@ucl.ac.uk
Summary
Neural signals for action selection emerge in the motor cortex during value-based decision-making, even before the choice is finalized. This suggests parallel processing, not serial, for decisions and actions.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Decision Science
Background:
- The neural basis linking decision-making and action selection is not fully understood.
- Current theories suggest action selection and decision processes may occur in parallel.
- Value computations are hypothesized to bias action selection in motor regions.
Purpose of the Study:
- To investigate the temporal relationship between value-based decision-making and action selection.
- To find physiological evidence for biases in motor cortex during decision formation.
- To test if motor system activity reflects choice value before decision completion.
Main Methods:
- Utilized transcranial magnetic stimulation (TMS) to measure corticospinal excitability.
- Recorded changes in motor cortex excitability during value-based decision tasks in humans.
- Analyzed reaction times and TMS measures in relation to subjective action values.
Main Results:
- Corticospinal excitability distinguished between chosen and unchosen actions before decision completion.
- Both excitability and reaction times correlated with the subjective value difference between options.
- This value-driven effect on motor cortex excitability was absent when no decision was required.
Conclusions:
- Provides direct physiological evidence that value-based decisions influence motor cortex competition before a choice is finalized.
- Supports models of parallel processing in decision-making and action selection.
- Challenges serial models where action selection follows complete stimulus evaluation and decision.

