Evidence map›Paper›PMID 37986740›Full record

ArticlebioRxiv : the preprint server for biology2023

Polymer Implantable Electrode Foundry: A shared resource for manufacturing polymer-based microelectrodes for neural interfaces.

Kee Scholten, Huijing Xu, Zhouxiao Lu, Wenxuan Jiang, Jessica Ortigoza-Diaz, Artin Petrossians, Steven Orler, Rachael Gallonio, Xin Liu, Dong Song and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kee ScholtenAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.ORCID 0000-0003-2650-1594
Huijing XuAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.
Zhouxiao LuAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.
Wenxuan JiangAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.
Jessica Ortigoza-DiazAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.ORCID 0000-0003-1222-4506
Artin PetrossiansAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.ORCID 0000-0003-2967-8205
Steven OrlerAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.
Rachael GallonioAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.
Xin LiuAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.
Dong SongAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.ORCID 0000-0002-6179-1120
Ellis MengAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.

Funding

A Technology Resource for Polymer Microelectrode ArraysU24NS113647 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MENG, ELLIS, SONG, DONG · 2019 to 2023
$6.1M
NINDS NIH HHS U24 NS113647
6 · The paper itself

Abstract

Large scale monitoring of neural activity at the single unit level can be achieved via electrophysiological recording using implanted microelectrodes. While neuroscience researchers have widely employed chronically implanted electrode-based interfaces for this purpose, a commonly encountered limitation is loss of highly resolved signals arising from immunological response over time. Next generation electrode-based interfaces improve longitudinal signal quality using the strategy of stabilizing the device-tissue interface with microelectrode arrays constructed from soft and flexible polymer materials. The limited availability of such polymer microelectrode arrays has restricted access to a small number of researchers able to build their own custom devices or who have developed specific collaborations with engineering researchers who can produce them. Here, a new technology resource model is introduced that seeks to widely increase access to polymer microelectrode arrays by the neuroscience research community. The Polymer Implantable Electrode (PIE) Foundry provides custom and standardized polymer microelectrode arrays as well as training and guidance on best-practices for implantation and chronic experiments.

Identifiers

PMID37986740
PMCPMC10659271

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.