Abstract:
OBJECTIVE:Microwire and Utah-style neural recording arrays are the predominant devices used for cortical neural recording, but the implanted electrodes cause a significant adverse biological response and suffer from well-studied performance degradation. Recent work has demonstrated that carbon fiber electrodes do not elicit this same adverse response, but these existing designs are not practically scalable to hundreds or thousands of recording sites. We present technology that overcomes these issues while additionally providing fine electrode pitch for spatial oversampling. APPROACH:We present a 32-channel carbon fiber monofilament-based intracortical neural recording array fabricated through a combination of bulk silicon microfabrication processing and microassembly. This device represents the first truly two-dimensional carbon fiber neural recording array. The density, channel count, and size scale of this array are enabled by an out-of-plane microassembly technique in which individual fibers are inserted through metallized and isotropically conductive adhesive-filled holes in an oxide-passivated microfabricated silicon substrate. MAIN RESULTS:Five-micron diameter fibers are spaced at a pitch of 38 microns, four times denser than state of the art one-dimensional arrays. The fine diameter of the carbon fibers affords both minimal cross-section and nearly three orders of magnitude greater lateral compliance than standard tungsten microwires. Typical [Formula: see text] impedances are on the order of hundreds of kiloohms, and successful in vivo recording is demonstrated in the motor cortex of a rat. 22 total units are recorded on 20 channels, with unit SNR ranging from 1.4 to 8.0. SIGNIFICANCE:This is the highest density microwire-style electrode array to date, and this fabrication technique is scalable to a larger number of electrodes and allows for the potential future integration of microelectronics. Large-scale carbon fiber neural recording arrays are a promising technology for reducing the inflammatory response and increasing the information density, particularly in neural recording applications where microwire arrays are already used.
journal_name
J Neural Engjournal_title
Journal of neural engineeringauthors
Massey TL,Santacruz SR,Hou JF,Pister KSJ,Carmena JM,Maharbiz MMdoi
10.1088/1741-2552/aae8d9subject
Has Abstractpub_date
2019-02-01 00:00:00pages
016024issue
1eissn
1741-2560issn
1741-2552journal_volume
16pub_type
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journal_title:Journal of neural engineering
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journal_title:Journal of neural engineering
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journal_title:Journal of neural engineering
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journal_title:Journal of neural engineering
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journal_title:Journal of neural engineering
pub_type: 杂志文章,评审
doi:10.1088/1741-2560/4/1/S14
更新日期:2007-03-01 00:00:00
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doi:10.1088/1741-2552/aae39d
更新日期:2018-12-01 00:00:00
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pub_type: 临床试验,杂志文章
doi:10.1088/1741-2552/aabc9b
更新日期:2018-08-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/13/4/046009
更新日期:2016-08-01 00:00:00
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journal_title:Journal of neural engineering
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journal_title:Journal of neural engineering
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doi:10.1088/1741-2560/6/5/058001
更新日期:2009-10-01 00:00:00
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doi:10.1088/1741-2552/aaf92b
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pub_type: 杂志文章
doi:10.1088/1741-2560/9/6/066001
更新日期:2012-12-01 00:00:00
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更新日期:2020-11-17 00:00:00
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更新日期:2017-06-01 00:00:00
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更新日期:2019-04-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/8/6/066014
更新日期:2011-12-01 00:00:00
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pub_type: 杂志文章
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pub_type: 杂志文章
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