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Updated: Jul 10, 2025
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Published on: March 8, 2024
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Analysis of Multiscale Corticomuscular Coupling Networks Based on Ordinal Patterns
Summary
This study introduces a novel method to analyze brain-muscle communication using electroencephalogram (EEG) and electromyogram (sEMG) signals. The findings reveal how grip strength influences neural pathways, highlighting the flexor digitorum superficialis muscle
Area of Science:
- Neuroscience
- Biomedical Engineering
- Signal Processing
Background:
- Corticomuscular coupling analysis is crucial for understanding motor control.
- Existing methods often overlook cross-frequency band interactions in physiological signals.
- Physiological signals possess inherent multiscale characteristics.
Purpose of the Study:
- To develop a novel method for analyzing corticomuscular coupling across different frequency bands.
- To investigate the role of cross-band coupling in motor control.
- To explore changes in neural pathways with varying grip force.
Main Methods:
- Combined Multivariate Variational Modal Decomposition (MVMD) for signal decomposition and Ordinal Partition Transition Networks (OPTNs) for coupling analysis.
- Constructed corticomuscular coupling networks using EEG and sEMG data from 16 healthy subjects.
- Analyzed network parameters to quantify information transfer between cortex and muscle.
Main Results:
- The proposed method effectively captures causal links across different frequency bands and grip strengths.
- Identified the flexor digitorum superficialis (FDS) sEMG in the low-frequency band as a key hub for corticomuscular information transmission.
- Observed increased coupling strength and node status primarily in the gamma band (30-60Hz) with rising grip force.
Conclusions:
- The study provides a superior method for analyzing complex corticomuscular interactions.
- Neural control mechanisms during muscle movement can be better understood by examining cross-frequency band coupling.
- Grip force significantly modulates the dynamics of information flow in the corticomuscular system.
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