Evidence map›Paper›PMID 32009634›Full record

ArticleJournal of visualized experiments : JoVE2020

Focused Ion Beam Lithography to Etch Nano-architectures into Microelectrodes.

Shreya Mahajan, Jonah A Sharkins, Allen H Hunter, Amir Avishai, Evon S Ereifej

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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.

Shreya MahajanDepartment of Electrical Engineering and Computer Science, University of Michigan.
Jonah A SharkinsVeteran Affairs Ann Arbor Healthcare System; Department of Biomedical Engineering, University of Michigan.
Allen H HunterMichigan Center for Materials Characterization, University of Michigan.
Amir AvishaiCarl Zeiss SMT, Inc.
Evon S EreifejVeteran Affairs Ann Arbor Healthcare System; Department of Neurology, School of Medicine, University of Michigan; Department of Biomedical Engineering, University of Michigan; eereifej@aptcenter.org.
University of Michigan–Ann Arbor · USCarl Zeiss (United States) · US

Funding

Mimicking the Architecture and Modulus of Native Brain Tissue onto Neural Implants to Improve BiocompatibilityIK2RX002628 · VA · VETERANS HEALTH ADMINISTRATION · PI EREIFEJ, EVON S. · 2018 to 2021
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RRD VA IK1 RX001664RRD VA IK2 RX002628
6 · The paper itself

Abstract

With advances in electronics and fabrication technology, intracortical microelectrodes have undergone substantial improvements enabling the production of sophisticated microelectrodes with greater resolution and expanded capabilities. The progress in fabrication technology has supported the development of biomimetic electrodes, which aim to seamlessly integrate into the brain parenchyma, reduce the neuroinflammatory response observed after electrode insertion and improve the quality and longevity of electrophysiological recordings. Here we describe a protocol to employ a biomimetic approach recently classified as nano-architecture. The use of focused ion beam lithography (FIB) was utilized in this protocol to etch specific nano-architecture features into the surface of non-functional and functional single shank intracortical microelectrodes. Etching nano-architectures into the electrode surface indicated possible improvements of biocompatibility and functionality of the implanted device. One of the benefits of using FIB is the ability to etch on manufactured devices, as opposed to during the fabrication of the device, facilitating boundless possibilities to modify numerous medical devices post-manufacturing. The protocol presented herein can be optimized for various material types, nano-architecture features, and types of devices. Augmenting the surface of implanted medical devices can improve the device performance and integration into the tissue.

Indexed as

PrintingAnimalsAutomationBiomarkersBrainCell CountElectrodes, ImplantedElectrophysiological PhenomenaInflammationIonsMicroelectrodesNanoparticlesNeuronsRatsSiliconBiomarkersIonsSilicon

Identifiers

PMID32009634
PMCPMC8457512
OpenAlexW2999558451

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.