Evidence map›Paper›PMID 34442594›Full record

ReviewMicromachines2021

Intracortical Microelectrode Array Unit Yield under Chronic Conditions: A Comparative Evaluation.

Joshua O Usoro, Brandon S Sturgill, Kate C Musselman, Jeffrey R Capadona, Joseph J Pancrazio

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

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  12. Effects of Micromachining on Anti-oxidant Elution from a Mechanically-Adaptive Polymer.Journal of micromechanics and microengineering : structures, devices, and systems · 2024
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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

5 authors at 2 institutions in 1 country.

Joshua O UsoroDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.ORCID 0000-0002-4596-663X
Brandon S SturgillDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
Kate C MusselmanDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
Jeffrey R CapadonaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
Joseph J PancrazioDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
The University of Texas at Dallas · USLouis Stokes Cleveland VA Medical Center · US

Funding

NIH HHS NS104344NIH HHS NS110823U.S. Department of Veterans Affairs Rehabilitation Research and Development Service 12635707
6 · The paper itself

Abstract

While microelectrode arrays (MEAs) offer the promise of elucidating functional neural circuitry and serve as the basis for a cortical neuroprosthesis, the challenge of designing and demonstrating chronically reliable technology remains. Numerous studies report "chronic" data but the actual time spans and performance measures corresponding to the experimental work vary. In this study, we reviewed the experimental durations that constitute chronic studies across a range of MEA types and animal species to gain an understanding of the widespread variability in reported study duration. For rodents, which are the most commonly used animal model in chronic studies, we examined active electrode yield (AEY) for different array types as a means to contextualize the study duration variance, as well as investigate and interpret the performance of custom devices in comparison to conventional MEAs. We observed wide-spread variance within species for the chronic implantation period and an AEY that decayed linearly in rodent models that implanted commercially-available devices. These observations provide a benchmark for comparing the performance of new technologies and highlight the need for consistency in chronic MEA studies. Additionally, to fully derive performance under chronic conditions, the duration of abiotic failure modes, biological processes induced by indwelling probes, and intended application of the device are key determinants.

Indexed as

active electrode yieldchronicintracorticalmicroelectrode arrayneural interface

Identifiers

PMID34442594
PMCPMC8400387
OpenAlexW3193328276

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.