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Upper Limb Cortical-Muscular Coupling Analysis Based on Time-Delayed Back Maximum Information Coefficient Model.

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    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |November 20, 2023
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    Summary
    This summary is machine-generated.

    A new time-delayed back maximum information coefficient (TDBackMIC) method accurately measures causal coupling in physiological signals. This analysis reveals bidirectional functional cortical-muscular and intermuscular coupling, with strength varying by grip force.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Physiology

    Background:

    • Accurate description of coupling direction and intensity in physiological electrical signals is vital for musculoskeletal systems.
    • Maximum Information Coefficient (MIC) quantifies coupling strength but cannot determine information transmission direction.
    • Existing methods lack the ability to identify causal relationships in complex biological systems.

    Purpose of the Study:

    • To introduce a novel time-delayed back maximum information coefficient (TDBackMIC) method for measuring causal coupling.
    • To validate TDBackMIC's effectiveness using simulations.
    • To analyze functional cortical-muscular and intermuscular coupling under varying grip force intensities.

    Main Methods:

    • Development and application of the TDBackMIC analysis method.
    • Simulation-based validation of TDBackMIC.
    • Experimental analysis of electroencephalogram (EEG) and electromyogram (EMG) signals during different grip force exertions (10%, 20%, 30% MVC).

    Main Results:

    • TDBackMIC effectively measures causal coupling.
    • Functional cortical-muscular and intermuscular coupling are bidirectional.
    • Cortical-muscular coupling strength in the beta band decreases with increased grip force (e.g., EEG → EMG at 10% MVC: 0.86 ± 0.04).
    • Intermuscular coupling network connectivity enhances with increased grip force.

    Conclusions:

    • TDBackMIC accurately identifies causal coupling relationships.
    • Functional cortical-muscular and intermuscular coupling dynamics differ significantly across grip force intensities.
    • Findings offer a theoretical basis for sports rehabilitation and understanding neuromuscular control.