Evidence map›Paper›PMID 27615364›Full record

ArticleJournal of biomedical materials research. Part A2017

Design and demonstration of an intracortical probe technology with tunable modulus.

Dustin M Simon, Hamid Charkhkar, Conan St John, Sakthi Rajendran, Tong Kang, Radu Reit, David Arreaga-Salas, Daniel G McHail, Gretchen L Knaack, Andrew Sloan and 5 more

Abstract read
In one paragraph

Article in Journal of biomedical materials research. Part A, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Mechanically adaptive and deployable intracortical probes enable long-term neural electrophysiological recordings.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Review
  4. Hybrid Bionic Nerve Interface for Application in Bionic Limbs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Recent Progress on Microelectrodes in Neural Interfaces.Materials (Basel, Switzerland) · 2018
    Review
  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

15 authors.

Dustin M SimonDepartment of Materials Science and Engineering, The University of Texas at Dallas, Richardson, Texas, 75030.
Hamid CharkhkarDepartment of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia, 22030.
Conan St JohnDepartment of Bioengineering, The University of Texas at Dallas, Richardson, Texas, 75030.
Sakthi RajendranDepartment of Bioengineering, The University of Texas at Dallas, Richardson, Texas, 75030.
Tong KangDepartment of Bioengineering, The University of Texas at Dallas, Richardson, Texas, 75030.
Radu ReitDepartment of Bioengineering, The University of Texas at Dallas, Richardson, Texas, 75030.
David Arreaga-SalasDepartment of Bioengineering, The University of Texas at Dallas, Richardson, Texas, 75030.
Daniel G McHailDepartment of Molecular Neuroscience, The Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, 22030.
Gretchen L KnaackDepartment of Molecular Neuroscience, The Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, 22030.
Andrew SloanDepartment of Bioengineering, The University of Texas at Dallas, Richardson, Texas, 75030.
Dane GrasseDepartment of Bioengineering, The University of Texas at Dallas, Richardson, Texas, 75030.
Theodore C DumasDepartment of Molecular Neuroscience, The Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, 22030.
Robert L RennakerDepartment of Bioengineering, The University of Texas at Dallas, Richardson, Texas, 75030.
Joseph J PancrazioDepartment of Bioengineering, The University of Texas at Dallas, Richardson, Texas, 75030.ORCID 0000-0001-8276-3690
Walter E VoitDepartment of Materials Science and Engineering, The University of Texas at Dallas, Richardson, Texas, 75030.ORCID 0000-0003-0135-0531

Funding

Development of shape memory polymer-based implantable electrode systems.R43NS084598 · NINDS · VULINTUS, LLC · PI SLOAN, ANDREW MICHAEL · 2013 to 2013
$332k
U13: Neural Interface ConferenceU13NS084752 · NINDS · UNIVERSITY OF TEXAS DALLAS · PI PANCRAZIO, JOSEPH J. · 2013 to 2018
$199k
NINDS NIH HHS R43 NS084598NINDS NIH HHS U13 NS084752
6 · The paper itself

Abstract

Intracortical probe technology, consisting of arrays of microelectrodes, offers a means of recording the bioelectrical activity from neural tissue. A major limitation of existing intracortical probe technology pertains to limited lifetime of 6 months to a year of recording after implantation. A major contributor to device failure is widely believed to be the interfacial mechanical mismatch of conventional stiff intracortical devices and the surrounding brain tissue. We describe the design, development, and demonstration of a novel functional intracortical probe technology that has a tunable Young's modulus from ∼2 GPa to ∼50 MPa. This technology leverages advances in dynamically softening materials, specifically thiol-ene/acrylate thermoset polymers, which exhibit minimal swelling of < 3% weight upon softening in vitro. We demonstrate that a shape memory polymer-based multichannel intracortical probe can be fabricated, that the mechanical properties are stable for at least 2 months and that the device is capable of single unit recordings for durations up to 77 days in vivo. This novel technology, which is amenable to processes suitable for manufacturing via standard semiconductor fabrication techniques, offers the capability of softening in vivo to reduce the tissue-device modulus mismatch to ultimately improve long term viability of neural recordings. © 2016 Wiley Periodicals, Inc. J Biomed Mater Res Part A: 105A: 159-168, 2017.

Indexed as

Brain WavesAnimalsElastic ModulusElectrodesFrontal LobeMicebrain machine interfaceintracortical microelectrode arrayneural interfaceneural recordingshape memory polymer

Identifiers

PMID27615364
PMCPMC9934867

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.