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Updated: Jul 12, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Structure-Function Coupling in Highly Sampled Individual Brains.

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    This summary is machine-generated.

    Brain structure (SC) supports brain function (FC). Individual brain scans reveal SC strongly predicts FC in visual, motor, and cingulate regions, challenging previous assumptions about brain organization.

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    Area of Science:

    • Neuroscience
    • Brain Connectivity
    • Systems Neuroscience

    Background:

    • Structural connections (SC) underpin functional connectivity (FC), enabling cognition and behavior.
    • Previous studies suggested SC-FC coupling varies across the brain, stronger in unimodal than association areas.
    • Group-averaged data limited understanding of individual-specific SC-FC relationships.

    Approach:

    • Utilized densely sampled, individual-specific diffusion-weighted MRI (SC) and resting-state fMRI (FC) data from three healthy participants.
    • Analyzed SC-FC correspondence across the whole brain at an individual level.
    • Investigated the unimodal-heteromodal gradient hypothesis of SC-FC coupling.

    Key Points:

    • SC strongly predicted FC in visual and motor systems, consistent with prior group-level findings.
    • Unexpectedly, SC also strongly predicted FC in anterior and posterior cingulate regions.
    • The unimodal-to-heteromodal gradient did not fully explain SC-FC coupling across all brain regions.

    Conclusions:

    • Individual-specific analysis refines understanding of brain structure-function relationships.
    • The cingulate cortex exhibits a unique structure-function coupling pattern, distinct from typical heteromodal association areas.
    • Findings highlight the importance of individual variability in mapping brain networks and understanding neurological disorders.