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    Area of Science:

    • Neuroscience
    • Biomedical Engineering

    Background:

    • Understanding spatiotemporal gait patterns and cortical functional network connectivity (CFNC) is crucial in neuroscience.
    • Existing small-animal gait analyzers lack synchronization with CFNC, hindering research on gait-specific network dynamics.

    Purpose of the Study:

    • To develop a novel small-animal gait analyzer capable of real-time synchronization between gait behavior and whole-brain local field potentials.
    • To investigate real-time dynamic changes in CFNC during fine gait movements and map its remodeling throughout the gait cycle.

    Main Methods:

    • Development of a synchronized small-animal gait analyzer.
    • Real-time monitoring of gait and whole-brain local field potentials.
    • Analysis of dynamic CFNC remodeling in mouse models of neuropathic pain and ischemic stroke.

    Main Results:

    • The device successfully synchronizes gait with CFNC in real time.
    • Dynamic remodeling of CFNC during the gait cycle was mapped, correlating with motor deficits.
    • Specificity of cortical functional networks underlying motor dysfunctions was revealed.

    Conclusions:

    • The developed gait analyzer enables real-time monitoring of CFNC across different gaits.
    • This technology can dissect neural representations of motor control and assess treatment efficacy.
    • It provides insights into the relationship between CFNC dynamics and motor deficits in neurological conditions.