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  1. Artikel ; Online: Neural signal data collection and analysis of Percept™ PC BrainSense recordings for thalamic stimulation in epilepsy.

    Sanger, Zachary T / Henry, Thomas R / Park, Michael C / Darrow, David / McGovern, Robert A / Netoff, Theoden I

    Journal of neural engineering

    2024  Band 21, Heft 1

    Abstract: Deep brain stimulation (DBS) using Medtronic's Percept™ PC implantable pulse generator is FDA-approved for treating Parkinson's disease (PD), essential tremor, dystonia, obsessive compulsive disorder, and epilepsy. Percept™ PC enables simultaneous ... ...

    Abstract Deep brain stimulation (DBS) using Medtronic's Percept™ PC implantable pulse generator is FDA-approved for treating Parkinson's disease (PD), essential tremor, dystonia, obsessive compulsive disorder, and epilepsy. Percept™ PC enables simultaneous recording of neural signals from the same lead used for stimulation. Many Percept™ PC sensing features were built with PD patients in mind, but these features are potentially useful to refine therapies for many different disease processes. When starting our ongoing epilepsy research study, we found it difficult to find detailed descriptions about these features and have compiled information from multiple sources to understand it as a tool, particularly for use in patients other than those with PD. Here we provide a tutorial for scientists and physicians interested in using Percept™ PC's features and provide examples of how neural time series data is often represented and saved. We address characteristics of the recorded signals and discuss Percept™ PC hardware and software capabilities in data pre-processing, signal filtering, and DBS lead performance. We explain the power spectrum of the data and how it is shaped by the filter response of Percept™ PC as well as the aliasing of the stimulation due to digitally sampling the data. We present Percept™ PC's ability to extract biomarkers that may be used to optimize stimulation therapy. We show how differences in lead type affects noise characteristics of the implanted leads from seven epilepsy patients enrolled in our clinical trial. Percept™ PC has sufficient signal-to-noise ratio, sampling capabilities, and stimulus artifact rejection for neural activity recording. Limitations in sampling rate, potential artifacts during stimulation, and shortening of battery life when monitoring neural activity at home were observed. Despite these limitations, Percept™ PC demonstrates potential as a useful tool for recording neural activity in order to optimize stimulation therapies to personalize treatment.
    Mesh-Begriff(e) Humans ; Deep Brain Stimulation ; Thalamus ; Epilepsy/diagnosis ; Epilepsy/therapy ; Parkinson Disease/therapy ; Essential Tremor/diagnosis ; Essential Tremor/therapy
    Sprache Englisch
    Erscheinungsdatum 2024-02-06
    Erscheinungsland England
    Dokumenttyp Journal Article ; Review ; Research Support, N.I.H., Extramural
    ZDB-ID 2170901-4
    ISSN 1741-2552 ; 1741-2560
    ISSN (online) 1741-2552
    ISSN 1741-2560
    DOI 10.1088/1741-2552/ad1dc3
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Micromagnetic stimulation (

    Saha, Renata / Sanger, Zachary / Bloom, Robert P / Benally, Onri J / Wu, Kai / Tonini, Denis / Low, Walter C / Keirstead, Susan A / Netoff, Theoden I / Wang, Jian-Ping

    Journal of neural engineering

    2023  Band 20, Heft 3

    Abstract: Objective. ...

    Abstract Objective.
    Mesh-Begriff(e) Rats ; Animals ; Sciatic Nerve/physiology ; Muscle, Skeletal/physiology ; Electrodes ; Electric Stimulation/methods
    Sprache Englisch
    Erscheinungsdatum 2023-05-31
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, Non-U.S. Gov't
    ZDB-ID 2170901-4
    ISSN 1741-2552 ; 1741-2560
    ISSN (online) 1741-2552
    ISSN 1741-2560
    DOI 10.1088/1741-2552/acd582
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: An Injectable Neural Stimulation Electrode Made from an In-Body Curing Polymer/Metal Composite.

    Trevathan, James K / Baumgart, Ian W / Nicolai, Evan N / Gosink, Brian A / Asp, Anders J / Settell, Megan L / Polaconda, Shyam R / Malerick, Kevin D / Brodnick, Sarah K / Zeng, Weifeng / Knudsen, Bruce E / McConico, Andrea L / Sanger, Zachary / Lee, Jannifer H / Aho, Johnathon M / Suminski, Aaron J / Ross, Erika K / Lujan, Jose L / Weber, Douglas J /
    Williams, Justin C / Franke, Manfred / Ludwig, Kip A / Shoffstall, Andrew J

    Advanced healthcare materials

    2019  Band 8, Heft 23, Seite(n) e1900892

    Abstract: Implanted neural stimulation and recording devices hold vast potential to treat a variety of neurological conditions, but the invasiveness, complexity, and cost of the implantation procedure greatly reduce access to an otherwise promising therapeutic ... ...

    Abstract Implanted neural stimulation and recording devices hold vast potential to treat a variety of neurological conditions, but the invasiveness, complexity, and cost of the implantation procedure greatly reduce access to an otherwise promising therapeutic approach. To address this need, a novel electrode that begins as an uncured, flowable prepolymer that can be injected around a neuroanatomical target to minimize surgical manipulation is developed. Referred to as the Injectrode, the electrode conforms to target structures forming an electrically conductive interface which is orders of magnitude less stiff than conventional neuromodulation electrodes. To validate the Injectrode, detailed electrochemical and microscopy characterization of its material properties is performed and the feasibility of using it to stimulate the nervous system electrically in rats and swine is validated. The silicone-metal-particle composite performs very similarly to pure wire of the same metal (silver) in all measures, including exhibiting a favorable cathodic charge storage capacity (CSC
    Mesh-Begriff(e) Biocompatible Materials/chemistry ; Dielectric Spectroscopy ; Electrochemistry ; Electrodes ; Peripheral Nerves/physiology ; Polymers/chemistry ; Porosity
    Chemische Substanzen Biocompatible Materials ; Polymers
    Sprache Englisch
    Erscheinungsdatum 2019-11-07
    Erscheinungsland Germany
    Dokumenttyp Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2649576-4
    ISSN 2192-2659 ; 2192-2640
    ISSN (online) 2192-2659
    ISSN 2192-2640
    DOI 10.1002/adhm.201900892
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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