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Related Experiment Video

Updated: Jun 27, 2026

Non-invasive Assessment of Changes in Corticomotoneuronal Transmission in Humans

Non-invasive Assessment of Changes in Corticomotoneuronal Transmission in Humans

Published on: May 24, 2017

Circuits generating corticomuscular coherence investigated using a biophysically based computational model. I.

Elizabeth R Williams¹, Stuart N Baker

¹Institute of Neuroscience, Newcastle University, Henry Wellcome Building, Newcastle upon Tyne, NE2 4HH, UK.

Journal of Neurophysiology

|November 21, 2008

Summary

A computational model explains why 20 Hz brain activity aligns with muscle signals (EMGs), but not 10 Hz. This model helps resolve discrepancies in measured corticomuscular delays during muscle contractions.

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Area of Science:

Neuroscience
Computational Biology
Motor Control

Background:

Motor cortical activity exhibits 10-20 Hz oscillations, with only 20 Hz showing coherence with electromyograms (EMGs) of contralateral muscles.
Experimental corticomuscular coherence phase differences often conflict with established corticomuscular conduction delays.

Purpose of the Study:

To investigate the generation of corticomuscular coherence using a biophysically based computational model.
To explore how motoneuron properties and cortical inputs influence corticomuscular coherence.

Main Methods:

Developed a computational model of motoneuron pools and motor units generating EMGs.
Analyzed phase-frequency relationships to estimate delays.
Investigated the impact of motor unit action potential width and motoneuron nonlinearities.

Main Results:

Estimated delays were sensitive to motor unit action potential width.
Motoneuron nonlinearities and cortical input interactions produced complex phase-frequency relationships.
The model reproduced shorter than expected corticomuscular delays but not constant phase bands or lack of 10 Hz coherence.

Conclusions:

Simple propagation of cortical oscillations does not fully explain observed corticomuscular coherence.
Motoneuron properties and their interaction with cortical inputs are crucial for understanding corticomuscular coherence.
Further research is needed to account for all experimental observations, including 10 Hz coherence and constant phase bands.