Literature DB >> 19486899

Toward a comparison of microelectrodes for acute and chronic recordings.

Matthew P Ward1, Pooja Rajdev, Casey Ellison, Pedro P Irazoqui.   

Abstract

Several variations of microelectrode arrays are used to record and stimulate intracortical neuronal activity. Bypassing the immune response to maintain a stable recording interface remains a challenge. Companies and researchers are continuously altering the material compositions and geometries of the arrays in order to discover a combination that allows for a chronic and stable electrode-tissue interface. From this interface, they wish to obtain consistent quality recordings and a stable, low impedance pathway for charge injection over extended periods of time. Despite numerous efforts, no microelectrode array design has managed to evade the host immune response and remain fully functional. This study is an initial effort comparing several microelectrode arrays with fundamentally different configurations for use in an implantable epilepsy prosthesis. Specifically, NeuroNexus (Michigan) probes, Cyberkinetics (Utah) Silicon and Iridium Oxide arrays, ceramic-based thin-film microelectrode arrays (Drexel), and Tucker-Davis Technologies (TDT) microwire arrays are evaluated over a 31-day period in an animal model. Microelectrodes are compared in implanted rats through impedance, charge capacity, signal-to-noise ratio, recording stability, and elicited immune response. Results suggest significant variability within and between microelectrode types with no clear superior array. Some applications for the microelectrode arrays are suggested based on data collected throughout the longitudinal study. Additionally, specific limitations of assaying biological phenomena and comparing fundamentally different microelectrode arrays in a highly variable system are discussed with suggestions on how to improve the reliability of observed results and steps needed to develop a more standardized microelectrode design.

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Year:  2009        PMID: 19486899     DOI: 10.1016/j.brainres.2009.05.052

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  95 in total

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Review 2.  Implantable neurotechnologies: a review of micro- and nanoelectrodes for neural recording.

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5.  Physical principles for scalable neural recording.

Authors:  Adam H Marblestone; Bradley M Zamft; Yael G Maguire; Mikhail G Shapiro; Thaddeus R Cybulski; Joshua I Glaser; Dario Amodei; P Benjamin Stranges; Reza Kalhor; David A Dalrymple; Dongjin Seo; Elad Alon; Michel M Maharbiz; Jose M Carmena; Jan M Rabaey; Edward S Boyden; George M Church; Konrad P Kording
Journal:  Front Comput Neurosci       Date:  2013-10-21       Impact factor: 2.380

6.  In vivo deployment of mechanically adaptive nanocomposites for intracortical microelectrodes.

Authors:  J P Harris; A E Hess; S J Rowan; C Weder; C A Zorman; D J Tyler; J R Capadona
Journal:  J Neural Eng       Date:  2011-06-08       Impact factor: 5.379

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8.  Inhibition of the cluster of differentiation 14 innate immunity pathway with IAXO-101 improves chronic microelectrode performance.

Authors:  John K Hermann; Madhumitha Ravikumar; Andrew J Shoffstall; Evon S Ereifej; Kyle M Kovach; Jeremy Chang; Arielle Soffer; Chun Wong; Vishnupriya Srivastava; Patrick Smith; Grace Protasiewicz; Jingle Jiang; Stephen M Selkirk; Robert H Miller; Steven Sidik; Nicholas P Ziats; Dawn M Taylor; Jeffrey R Capadona
Journal:  J Neural Eng       Date:  2018-04       Impact factor: 5.379

9.  The Effect of Residual Endotoxin Contamination on the Neuroinflammatory Response to Sterilized Intracortical Microelectrodes.

Authors:  Madhumitha Ravikumar; Daniel J Hageman; William H Tomaszewski; Gabriella M Chandra; John L Skousen; Jeffrey R Capadona
Journal:  J Mater Chem B       Date:  2014-05-07       Impact factor: 6.331

10.  Long-term changes in the material properties of brain tissue at the implant-tissue interface.

Authors:  Arati Sridharan; Subramaniam D Rajan; Jit Muthuswamy
Journal:  J Neural Eng       Date:  2013-10-08       Impact factor: 5.379

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