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Evaluation of skull conductivity using SCALE head tissue conductivity estimation using EEG.

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    Accurately estimating skull conductivity improves high-resolution EEG source imaging. A new algorithm (SCALE) noninvasively measures individual skull conductivity, enhancing brain imaging spatial resolution.

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    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Medical Imaging

    Background:

    • Accurate electroencephalography (EEG) source imaging is hindered by variable skull conductivity.
    • Noninvasive methods for measuring individual skull conductivity are lacking.
    • Skull conductivity significantly impacts EEG source localization accuracy.

    Purpose of the Study:

    • To develop and validate an algorithm (SCALE) for simultaneously estimating skull conductivity and EEG sources.
    • To improve the spatial resolution and reliability of EEG source imaging.
    • To enable routine, high-resolution functional imaging of cortical activity.

    Main Methods:

    • Developed the Skull Conductivity and Source Location Estimation (SCALE) algorithm.
    • Combined realistic Finite Element Method (FEM) head models from MRI with EEG data.
    • Used Independent Component Analysis (ICA) to derive effective sources.
    • Estimated brain-to-skull conductivity ratio (BSCR) and mapped sources on the cortical surface.

    Main Results:

    • SCALE successfully estimated individual skull conductivity (BSCR) and cortical source distributions.
    • BSCR estimates varied widely across participants but were consistent within individuals.
    • Incorporating SCALE-optimized source localization improved EEG imaging stability and spatial resolution.

    Conclusions:

    • The SCALE algorithm offers a noninvasive method for estimating individual skull conductivity.
    • SCALE enhances EEG source imaging, achieving spatial resolution comparable to other modalities.
    • This method facilitates routine, low-cost functional imaging of brain dynamics.