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Directed Connectivity in Large-scale Brain Networks for Precision Grip Force Control.

Yadong Lv, Na Wei, Ke Li

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary

    Brain networks show a posterior-to-anterior information flow during precision grip tasks. This directed connectivity is crucial for fine motor control and dynamic force adjustments.

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    Area of Science:

    • Neuroscience
    • Motor Control
    • Brain-Computer Interfaces

    Background:

    • Precision grip relies on complex, dynamic control of fingertip forces.
    • Understanding directed information flow in cortical regions during precision grip is limited.

    Purpose of the Study:

    • Investigate directed connectivity in large-scale brain networks for precision grip force control.
    • Examine how information flow changes with varying force outputs.

    Main Methods:

    • Utilized 32-channel electroencephalography (EEG) during a precision grip task with dynamic force targets (1-10% MVC).
    • Applied Horizontal Visibility Graph Transfer Entropy (HVG-TE) to measure directed connectivity.
    • Employed relative HVG-TE (rHVG-TE) to assess cortical region activation.

    Main Results:

    • Demonstrated a significant posterior-to-anterior information flow across the cortex (4-70Hz).
    • Observed higher activation (rHVG-TE) in posterior brain regions compared to anterior regions.
    • Confirmed directed functional connectivity from posterior to anterior cortical areas.

    Conclusions:

    • Established a posterior-to-anterior cortical information flow critical for precision grip force control.
    • Provided novel methods for quantifying brain activation and large-scale connectivity.
    • Elucidated central neural mechanisms underlying fine motor control.