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An active electronic, high-density epidural paddle array for chronic spinal cord neuromodulation.

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    We developed a novel smart epidural electrical stimulation (EES) paddle with integrated electronics, enabling high-density stimulation and reducing the need for extensive training data in machine learning models for neural research and therapy.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Medical Devices

    Background:

    • Epidural electrical stimulation (EES) is a valuable tool for nervous system research and therapy.
    • Current EES devices are limited by the number of wires, restricting electrode density and treatment area.
    • A need exists for advanced EES systems with integrated electronics to overcome these limitations.

    Purpose of the Study:

    • To develop and evaluate a novel smart EES paddle with a high-density programmable electrode array and on-paddle electronics.
    • To assess the biocompatibility and chronic in vivo performance of the developed EES device.
    • To explore the utility of spatial electrode encoding and machine learning for EES parameter inference.

    Main Methods:

    • Development of a 60-electrode EES paddle with an embedded active electronic multiplexer and hermetic packaging.
    • Extensive reliability testing, including ISO 10993-1 biocompatibility and hermetic seal leak rate determination.
    • Chronic in vivo evaluation of the EES device implanted on the ovine lumbosacral spinal cord for 15 months.

    Main Results:

    • The smart EES paddle demonstrated nominal performance and no device-related malfunctions during the 15-month chronic implantation in sheep.
    • The onboard multiplexer allowed flexible electrode configuration for tailored stimulation.
    • Stereotyped motor responses and local field potentials were observed, and machine learning models accurately inferred EES parameters using spatial encoding.

    Conclusions:

    • The developed high-density EES paddle with active electronics is suitable for chronic implantation and advanced neural interfacing.
    • This technology facilitates integration of computation and processing directly into neural interface devices.
    • It opens new possibilities for studying nervous system function and developing therapies for neural injury and dysfunction.