Evidence map›Paper›PMID 34683209›Full record

ArticleMicromachines2021

Influence of Implantation Depth on the Performance of Intracortical Probe Recording Sites.

Joshua O Usoro, Komal Dogra, Justin R Abbott, Rahul Radhakrishna, Stuart F Cogan, Joseph J Pancrazio, Sourav S Patnaik

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 21 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 1 institution in 1 country.

Joshua O UsoroDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.ORCID 0000-0002-4596-663X
Komal DograDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
Justin R AbbottDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
Rahul RadhakrishnaDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
Stuart F CoganDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
Joseph J PancrazioDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
Sourav S PatnaikDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.ORCID 0000-0001-7457-8604
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
NIH HHS R01NS104344NINDS NIH HHS R01 NS104344
6 · The paper itself

Abstract

Microelectrode arrays (MEAs) enable the recording of electrical activity from cortical neurons which has implications for basic neuroscience and neuroprosthetic applications. The design space for MEA technology is extremely wide where devices may vary with respect to the number of monolithic shanks as well as placement of microelectrode sites. In the present study, we examine the differences in recording ability between two different MEA configurations: single shank (SS) and multi-shank (MS), both of which consist of 16 recording sites implanted in the rat motor cortex. We observed a significant difference in the proportion of active microelectrode sites over the 8-week indwelling period, in which SS devices exhibited a consistent ability to record activity, in contrast to the MS arrays which showed a marked decrease in activity within 2 weeks post-implantation. Furthermore, this difference was revealed to be dependent on the depth at which the microelectrode sites were located and may be mediated by anatomical heterogeneity, as well as the distribution of inhibitory neurons within the cortical layers. Our results indicate that the implantation depth of microelectrodes within the cortex needs to be considered relative to the chronic performance characterization.

Indexed as

depth-dependencemicroelectrode arraymulti-shanksingle shanksingle unit yield

Identifiers

PMID34683209
PMCPMC8539313
OpenAlexW3203504785

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.