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Excitation-Contraction Coupling in Skeletal Muscles

Excitation-Contraction Coupling in Skeletal Muscles

Excitation-contraction coupling is a series of events that occur between generating an action potential and initiating a muscle contraction. It occurs at the triad, a structure found in skeletal muscle fibers that comprise a T-tubule and terminal cisternae of the sarcoplasmic reticulum on each side. These triads are visible in longitudinally sectioned muscle fibers. They are typically located at the A-I junction — the junction between the A and I bands of the sarcomere.
When an action...

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Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

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Published on: June 27, 2013

Multiscale Transfer Spectral Entropy for Quantifying Corticomuscular Interaction.

Jinbiao Liu, Gansheng Tan, Yixuan Sheng

IEEE Journal of Biomedical and Health Informatics

|October 22, 2020

Summary

This summary is machine-generated.

A new method, multiscale transfer spectral entropy (MSTSE), reveals detailed neural information transfer between the brain and muscles. This advanced technique offers a more robust analysis of corticomuscular coupling across multiple scales.

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Area of Science:

Neuroscience
Biomedical Engineering
Signal Processing

Background:

Corticomuscular coupling involves complex neural interactions between the motor cortex and muscles.
Existing methods like Transfer Spectral Entropy (TSE) analyze coupling at a single scale.
A need exists for methods that capture multi-layer neural information transmission.

Purpose of the Study:

To introduce and validate the multiscale transfer spectral entropy (MSTSE) method.
To assess MSTSE's reliability and effectiveness in analyzing corticomuscular coupling.
To compare MSTSE with the single-scale TSE method.

Main Methods:

Development of the multiscale transfer spectral entropy (MSTSE) method as an extension of TSE.
Validation using nonlinear numerical models and physiological data from a force tracking task.
Comparative analysis of MSTSE and TSE in detecting coupling properties and signal characteristics.

Main Results:

MSTSE demonstrated robustness to embedding dimension and superior detection of coupling properties compared to TSE.
MSTSE provided more detailed frequency band characteristics of corticomuscular interaction.
Significant coupling was observed in alpha, beta, and low gamma bands during force tracking.
Descending beta band coupling strength was significantly higher than ascending.

Conclusions:

MSTSE offers a novel approach to quantify multi-layer neural information transfer in corticomuscular coupling.
The method enhances understanding of sensorimotor system dynamics.
MSTSE provides a new perspective for exploring corticomuscular interactions across multiple scales.