Evidence map›Paper›PMID 38547834›Full record

ArticleBiomaterials2024

Planar amorphous silicon carbide microelectrode arrays for chronic recording in rat motor cortex.

Justin R Abbott, Eleanor N Jeakle, Pegah Haghighi, Joshua O Usoro, Brandon S Sturgill, Yupeng Wu, Negar Geramifard, Rahul Radhakrishna, Sourav Patnaik, Shido Nakajima and 10 more

Open access · greenAbstract read
In one paragraph

Article in Biomaterials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 1 institution in 1 country.

Justin R AbbottDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Eleanor N JeakleDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Pegah HaghighiDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Joshua O UsoroDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Brandon S SturgillDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Yupeng WuDepartment of Materials Science and Engineering, The University of Texas at Dallas, Richardson, TX, United States.
Negar GeramifardDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Rahul RadhakrishnaDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Sourav PatnaikDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Shido NakajimaDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Jordan HessSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States.
Yusef MehmoodDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Veda DevataDepartment of Chemistry and Biochemistry, The University of Texas at Dallas, Richardson, TX, United States.
Gayathri VijayakumarSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States.
Armaan SoodSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States.
Teresa Thuc Doan ThaiDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Komal DograDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Ana G Hernandez-ReynosoDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Joseph J PancrazioDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States.
Stuart F CoganDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States. Electronic address: sxc149830@utdallas.edu.
The University of Texas at Dallas · US

Funding

Scalable Electrode Technology for High Resolution Chronic Recording of BrainR01NS104344 · NINDS · UNIVERSITY OF TEXAS DALLAS · PI COGAN, STUART F, MILLER, LEE · 2018 to 2022
$3.1M
NINDS NIH HHS R01 NS104344
6 · The paper itself

Abstract

Chronic implantation of intracortical microelectrode arrays (MEAs) capable of recording from individual neurons can be used for the development of brain-machine interfaces. However, these devices show reduced recording capabilities under chronic conditions due, at least in part, to the brain's foreign body response (FBR). This creates a need for MEAs that can minimize the FBR to possibly enable long-term recording. A potential approach to reduce the FBR is the use of MEAs with reduced cross-sectional geometries. Here, we fabricated 4-shank amorphous silicon carbide (a-SiC) MEAs and implanted them into the motor cortex of seven female Sprague-Dawley rats. Each a-SiC MEA shank was 8 μm thick by 20 μm wide and had sixteen sputtered iridium oxide film (SIROF) electrodes (4 per shank). A-SiC was chosen as the fabrication base for its high chemical stability, good electrical insulation properties, and amenability to thin film fabrication. Electrochemical analysis and neural recordings were performed weekly for 4 months. MEAs were characterized pre-implantation in buffered saline and in vivo using electrochemical impedance spectroscopy and cyclic voltammetry at 50 mV/s and 50,000 mV/s. Neural recordings were analyzed for single unit activity. At the end of the study, animals were sacrificed for immunohistochemical analysis. We observed statistically significant, but small, increases in 1 and 30 kHz impedance values and 50,000 mV/s charge storage capacity over the 16-week implantation period. Slow sweep 50 mV/s CV and 1 Hz impedance did not significantly change over time. Impedance values increased from 11.6 MΩ to 13.5 MΩ at 1 Hz, 1.2 MΩ-2.9 MΩ at 1 kHz, and 0.11 MΩ-0.13 MΩ at 30 kHz over 16 weeks. The median charge storage capacity of the implanted electrodes at 50 mV/s was 58.1 mC/cm

Indexed as

Carbon Compounds, InorganicElectrodes, ImplantedMicroelectrodesMotor CortexRats, Sprague-DawleySilicon CompoundsAnimalsFemaleNeuronsRatsCarbon Compounds, Inorganicsilicon carbideSilicon Compounds

Identifiers

PMID38547834
PMCPMC11065583
OpenAlexW4393050503

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.