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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
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Dynamic brain functional connectivity modulated by resting-state networks.

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    This study reveals how resting-state network activity influences brain connectivity. Higher activity in the salience, default mode, and motor networks dynamically alters functional connections across brain regions.

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    Area of Science:

    • Neuroscience
    • Cognitive Neuroscience
    • Brain Imaging

    Background:

    • Resting-state functional magnetic resonance imaging (fMRI) advances understanding of human brain function.
    • Dynamic functional connectivity research is growing, but temporal variations remain poorly understood.

    Purpose of the Study:

    • To link variations in functional connectivity to intrinsic activities of resting-state networks.
    • To compare functional connectivity during high versus low intrinsic network activity within a single scan.

    Main Methods:

    • Analysis of resting-state fMRI data.
    • Comparison of functional connectivity patterns based on intrinsic activity levels of the salience, default mode (DMN), and motor networks.

    Main Results:

    • Salience network activity correlated with increased fronto-parietal and DMN connectivity.
    • Default mode network activity showed decreased within-DMN connectivity but increased fronto-parietal network connectivity.
    • Motor network activity linked to increased within-motor connectivity and decreased connectivity between DMN, fronto-parietal, and motor regions.
    • Higher motor network activity correlated with increased whole brain network modularity, indicating greater segregation.

    Conclusions:

    • Resting-state network activity significantly modulates large-scale brain functional connectivity.
    • Intrinsic network activity influences dynamic changes in brain network configurations.
    • Findings provide insights into the dynamic interplay of brain networks during rest.