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Electrodes: Overview01:17

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 Electrochemical measurements are conducted in an electrochemical cell composed of various components that control and measure the current and potential. One fundamental component is electrodes, conductive materials that enable electron transfer reactions at their surfaces.
There are two main types of electrodes in electrochemical cells. The first type, known as the working or indicator electrode, has a potential that is sensitive to the analyte's concentration and reacts to changes in...
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Related Experiment Video

Updated: Oct 10, 2025

Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note
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A canonical visualization tool for SEEG electrodes.

Harvey Huang, Gabriela Ojeda Valencia, Dora Hermes

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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    Summary
    This summary is machine-generated.

    This study introduces a new open-source Matlab tool for visualizing stereoencephalographic (SEEG) electrode positions from CT scans onto MRI slices. This software enhances neuroscientific understanding by clearly mapping electrode locations within patient anatomy.

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    Area of Science:

    • Neuroscience
    • Medical Imaging
    • Computational Biology

    Background:

    • Stereoencephalographic (SEEG) electrodes are crucial for localizing seizure onset in epilepsy and are increasingly used in neurophysiology research.
    • Accurate visualization of SEEG electrode placement relative to patient anatomy on MRI is essential for interpreting brain activity data.

    Purpose of the Study:

    • To develop an open-source software tool for visualizing SEEG electrode positions derived from CT scans onto canonical MRI planes (axial, coronal, sagittal).
    • To provide an intuitive method for mapping brain activity and labels at electrode locations on corresponding MRI slices.

    Main Methods:

    • Development of an open-source software tool using Matlab.
    • Visualization of SEEG electrode positions (determined by CT) onto resliced brain MRI.
    • Display of data on canonical axial, coronal, and sagittal planes.

    Main Results:

    • Successful creation of a software tool (mnl_seegview) for SEEG electrode visualization.
    • The tool enables intuitive plotting of electrode positions onto MRI slices.
    • The software is available via a public GitHub repository.

    Conclusions:

    • The developed Matlab tool facilitates precise communication of SEEG electrode activity and location.
    • This visualization method aids neuroscientific understanding by integrating CT-derived electrode data with anatomical MRI.
    • The open-source nature promotes accessibility and adoption in clinical and research settings.