Evidence map›Paper›PMID 30424419›Full record

ArticleMicromachines2018

Characterization of the Neuroinflammatory Response to Thiol-ene Shape Memory Polymer Coated Intracortical Microelectrodes.

Andrew J Shoffstall, Melanie Ecker, Vindhya Danda, Alexandra Joshi-Imre, Allison Stiller, Marina Yu, Jennifer E Paiz, Elizabeth Mancuso, Hillary W Bedell, Walter E Voit and 2 more

Abstract read
In one paragraph

Article in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Clickable Biomaterials for Modulating Neuroinflammation.International journal of molecular sciences · 2022
    Review
  11. Article
  12. Review
  13. Article
  14. Multi-scale neural decoding and analysis.Journal of neural engineering · 2021
    Review
  15. Article
  16. The Future of Neuroscience: Flexible and Wireless Implantable Neural Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. 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

12 authors.

Andrew J ShoffstallDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA. andrew.shoffstall@case.edu.
Melanie EckerAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland Department of Veteran Affairs Medical Center, Cleveland, OH, USA. melanie.ecker@utdallas.edu.ORCID 0000-0002-0603-6683
Vindhya DandaDepartment of Materials Science and Engineering, The University of Texas at Dallas, Richardson, TX, USA. vxd160030@utdallas.edu.
Alexandra Joshi-ImreCenter for Engineering Innovation, The University of Texas at Dallas, Richardson, TX, USA. alexandra.joshi-imre@utdallas.edu.ORCID 0000-0002-4271-1623
Allison StillerDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, USA. axs169031@utdallas.edu.ORCID 0000-0001-6326-890X
Marina YuDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA. mhy7@case.edu.
Jennifer E PaizDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA. jep141@case.edu.
Elizabeth MancusoDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA. mancuso.33@buckeyemail.osu.edu.
Hillary W BedellDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA. hillary.bedell1@gmail.com.
Walter E VoitDepartment of Materials Science and Engineering, The University of Texas at Dallas, Richardson, TX, USA. walter.voit@utdallas.edu.
Joseph J PancrazioDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, USA. joseph.pancrazio@utdallas.edu.
Jeffrey R CapadonaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA. jrc35@case.edu.

Funding

NIH HHS 1R01NS082404- Q3 01A1
6 · The paper itself

Abstract

Thiol-ene based shape memory polymers (SMPs) have been developed for use as intracortical microelectrode substrates. The unique chemistry provides precise control over the mechanical and thermal glass-transition properties. As a result, SMP substrates are stiff at room temperature, allowing for insertion into the brain without buckling and subsequently soften in response to body temperatures, reducing the mechanical mismatch between device and tissue. Since the surface chemistry of the materials can contribute significantly to the ultimate biocompatibility, as a first step in the characterization of our SMPs, we sought to isolate the biological response to the implanted material surface without regards to the softening mechanics. To accomplish this, we tightly controlled for bulk stiffness by comparing bare silicon 'dummy' devices to thickness-matched silicon devices dip-coated with SMP. The neuroinflammatory response was evaluated after devices were implanted in the rat cortex for 2 or 16 weeks. We observed no differences in the markers tested at either time point, except that astrocytic scarring was significantly reduced for the dip-coated implants at 16 weeks. The surface properties of non-softening thiol-ene SMP substrates appeared to be equally-tolerated and just as suitable as silicon for neural implant substrates for applications such as intracortical microelectrodes, laying the groundwork for future softer devices to improve upon the prototype device performance presented here.

Indexed as

electrophysiologyintracorticalmicroelectrodesshape-memory-polymer

Identifiers

PMID30424419
PMCPMC6215215

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.