Evidence map›Paper›PMID 31011432›Full record

ArticleBiomedical physics & engineering express2018

Long-term stability of neural signals from microwire arrays implanted in common marmoset motor cortex and striatum.

Shubham Debnath, Noeline W Prins, Eric Pohlmeyer, Ramanamurthy Mylavarapu, Shijia Geng, Justin C Sanchez, Abhishek Prasad

Abstract read
In one paragraph

Article in Biomedical physics & engineering express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 20 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

7 authors at 3 institutions in 1 country.

Shubham DebnathDepartment of Biomedical Engineering, University of Miami, Coral Gables, FL 33146, United States of America.
Noeline W PrinsDepartment of Biomedical Engineering, University of Miami, Coral Gables, FL 33146, United States of America.
Eric PohlmeyerJohn Hopkins University Applied Physics Laboratory, Laurel, MD 20723, United States of America.
Ramanamurthy MylavarapuDepartment of Biomedical Engineering, University of Miami, Coral Gables, FL 33146, United States of America.
Shijia GengThe Center for Computational Science, University of Miami, Coral Gables, FL 33146, United States of America.
Justin C SanchezDefense Advanced Research Projects Agency, Arlington, VA 22203, United States of America.
Abhishek PrasadDepartment of Biomedical Engineering, University of Miami, Coral Gables, FL 33146, United States of America.ORCID 0000-0001-9586-9400
University of Miami · USDefense Advanced Research Projects Agency · USJohns Hopkins University Applied Physics Laboratory · US

Funding

Spinal cord neural interface for neuroprosthetics in a primate modelDP2EB022357 · NIBIB · UNIVERSITY OF MIAMI CORAL GABLES · PI PRASAD, ABHISHEK · 2015 to 2015
$2.3M
NIBIB NIH HHS DP2 EB022357
6 · The paper itself

Abstract

Current neuroprosthetics rely on stable, high quality recordings from chronically implanted microelectrode arrays (MEAs) in neural tissue. While chronic electrophysiological recordings and electrode failure modes have been reported from rodent and larger non-human primate (NHP) models, chronic recordings from the marmoset model have not been previously described. The common marmoset is a New World primate that is easier to breed and handle compared to larger NHPs and has a similarly organized brain, making it a potentially useful smaller NHP model for neuroscience studies. This study reports recording stability and signal quality of MEAs chronically implanted in behaving marmosets. Six adult male marmosets, trained for reaching tasks, were implanted with either a 16-channel tungsten microwire array (five animals) or a Pt-Ir floating MEA (one animal) in the hand-arm region of the primary motor cortex (M1) and another MEA in the striatum targeting the nucleus accumbens (NAcc). Signal stability and quality was quantified as a function of array yield (active electrodes that recorded action potentials), neuronal yield (isolated single units during a recording session), and signal-to-noise ratio (SNR). Out of 11 implanted MEAs, nine provided functional recordings for at least three months, with two arrays functional for 10 months. In general, implants had high yield, which remained stable for up to several months. However, mechanical failure attributed to MEA connector was the most common failure mode. In the longest implants, signal degradation occurred, which was characterized by gradual decline in array yield, reduced number of isolated single units, and changes in waveform shape of action potentials. This work demonstrates the feasibility of longterm recordings from MEAs implanted in cortical and deep brain structures in the marmoset model. The ability to chronically record cortical signals for neural prosthetics applications in the common marmoset extends the potential of this model in neural interface research.

Indexed as

electrode failuremarmosetsmicroelectrode arraysneuroprosthetics

Identifiers

PMID31011432
PMCPMC6474681
OpenAlexW2886443124

What OpenQuestion holds

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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.