Multiscale information interaction at local frequency band in functional corticomuscular coupling.

Area of Science:

• Neuroscience
• Biomedical Engineering
• Signal Processing

Background:

• Functional corticomuscular coupling (FCMC) is crucial for motor control.
• Existing multiscale transfer entropy (MSTE) lacks local frequency-band analysis.

Purpose of the Study:

• To develop a novel method for quantifying multiscale interactions at local-frequency bands between cortex and muscles.
• To introduce the bivariate empirical mode decomposition-multiscale transfer entropy (BMSTE) method.

Main Methods:

• Combined bivariate empirical mode decomposition (BEMD) with MSTE.
• Validated using simulation models and analyzing EEG and EMG signals during steady-state force output.

Main Results:

• BMSTE effectively captures multiscale time-frequency characteristics, superior to MSTE.
• BMSTE is sensitive to coupling strength, not data length.
• Identified higher descending corticomuscular coupling in beta and gamma bands, with specific scale differences.

Conclusions:

• BMSTE accurately describes signal interactions across time-frequency scales.
• Provides a novel approach for understanding motor control and FCMC.