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      Improving Impedance of Implantable Microwire Multi-Electrode Arrays by Ultrasonic Electroplating of Durable Platinum Black

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          Abstract

          Implantable microelectrode arrays (MEAs) have been a boon for neural stimulation and recording experiments. Commercially available MEAs have high impedances, due to their low surface area and small tip diameters, which are suitable for recording single unit activity. Lowering the electrode impedance, but preserving the small diameter, would provide a number of advantages, including reduced stimulation voltages, reduced stimulation artifacts and improved signal-to-noise ratio. Impedance reductions can be achieved by electroplating the MEAs with platinum (Pt) black, which increases the surface area but has little effect on the physical extent of the electrodes. However, because of the low durability of Pt black plating, this method has not been popular for chronic use. Sonicoplating (i.e. electroplating under ultrasonic agitation) has been shown to improve the durability of Pt black on the base metals of macro-electrodes used for cyclic voltammetry. This method has not previously been characterized for MEAs used in chronic neural implants. We show here that sonicoplating can lower the impedances of microwire multi-electrode arrays (MMEA) by an order of magnitude or more (depending on the time and voltage of electroplating), with better durability compared to pulsed plating or traditional DC methods. We also show the improved stimulation and recording performance that can be achieved in an in vivo implantation study with the sonicoplated low-impedance MMEAs, compared to high-impedance unplated electrodes.

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          Most cited references30

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          Thermal Agitation of Electric Charge in Conductors

          H. Nyquist (1928)
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            Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.

            This study introduces a new method for detecting and sorting spikes from multiunit recordings. The method combines the wavelet transform, which localizes distinctive spike features, with superparamagnetic clustering, which allows automatic classification of the data without assumptions such as low variance or gaussian distributions. Moreover, an improved method for setting amplitude thresholds for spike detection is proposed. We describe several criteria for implementation that render the algorithm unsupervised and fast. The algorithm is compared to other conventional methods using several simulated data sets whose characteristics closely resemble those of in vivo recordings. For these data sets, we found that the proposed algorithm outperformed conventional methods.
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              Response of brain tissue to chronically implanted neural electrodes.

              Chronically implanted recording electrode arrays linked to prosthetics have the potential to make positive impacts on patients suffering from full or partial paralysis. Such arrays are implanted into the patient's cortical tissue and record extracellular potentials from nearby neurons, allowing the information encoded by the neuronal discharges to control external devices. While such systems perform well during acute recordings, they often fail to function reliably in clinically relevant chronic settings. Available evidence suggests that a major failure mode of electrode arrays is the brain tissue reaction against these implants, making the biocompatibility of implanted electrodes a primary concern in device design. This review presents the biological components and time course of the acute and chronic tissue reaction in brain tissue, analyses the brain tissue response of current electrode systems, and comments on the various material science and bioactive strategies undertaken by electrode designers to enhance electrode performance.
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                Author and article information

                Journal
                Front Neuroengineering
                Front. Neuroeng.
                Frontiers in Neuroengineering
                Frontiers Research Foundation
                1662-6443
                25 March 2010
                06 May 2010
                2010
                : 3
                : 5
                Affiliations
                [1] 1simpleLaboratory for Neuroengineering, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology Atlanta, GA, USA
                [2] 2simpleDepartment of Neurosurgery, Emory University School of Medicine Atlanta, GA, USA
                Author notes

                Edited by: Martin Stelzle, University of Tübingen, Germany

                Reviewed by: Claus Burkhardt, University of Tübingen, Germany; Dirk Jansen, University of Offenburg, Germany

                *Correspondence: Steve M. Potter, Laboratory for Neuroengineering, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Dr. NW, Atlanta, GA 30332-0535, USA. e-mail: steve.potter@ 123456bme.gatech.edu
                Article
                10.3389/fneng.2010.00005
                2871717
                20485478
                8faf2247-ecdc-4a45-9ed8-4df479d3cd14
                Copyright © 2010 Desai, Rolston, Guo and Potter.

                This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.

                History
                : 25 December 2009
                : 07 April 2010
                Page count
                Figures: 9, Tables: 1, Equations: 1, References: 34, Pages: 11, Words: 6360
                Categories
                Neuroscience
                Original Research

                Neurosciences
                impedance,electroplating,microelectrode arrays,platinum black,stimulation artifact,thermal noise

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