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Related Experiment Video

Updated: Oct 10, 2025

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
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Brain-Wide Diffuse Optical Tomography Based on Cap-Based, Whole-Head fNIRS Recording.

Ali F Khan, Fan Zhang, Han Yuan

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary

    This study introduces a novel cap-based diffuse optical tomography (DOT) framework for brain-wide network activity mapping. The technology shows promise for neuroimaging in patient populations unable to use fMRI.

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    Area of Science:

    • Neuroimaging
    • Biomedical Engineering
    • Neuroscience

    Background:

    • Functional near-infrared spectroscopy-based diffuse optical tomography (DOT) offers portable, noninvasive brain imaging.
    • Existing DOT methods often focus on localized brain activity, limiting large-scale network analysis.

    Purpose of the Study:

    • To evaluate a cap-based brain-wide DOT (BW-DOT) framework for mapping brain-wide networked activities.
    • To assess the performance of BW-DOT using realistic head geometries and experimental data.

    Main Methods:

    • Simulations analyzing point-spread-function (PSF)-based metrics on realistic head models.
    • Reconstruction of brain-wide resting-state networks from experimental data using the BW-DOT framework.

    Main Results:

    • PSF-based metrics varied across the brain, with lower quality in deeper or peripheral areas.
    • Reconstructed resting-state networks using BW-DOT closely resembled fMRI-established templates.
    • BW-DOT demonstrated capability for brain-wide network imaging, surpassing patch-based DOT.

    Conclusions:

    • Evaluating PSF metrics on realistic head geometries is crucial for DOT performance assessment.
    • BW-DOT is a promising tool for studying brain-wide neural activities and large-scale networks.
    • This technology offers a viable neuroimaging alternative for specific patient groups like infants and bedridden individuals.