Evidence map›Paper›PMID 31057918›Full record

ArticleMicrosystems & nanoengineering2018

Microfabricated intracortical extracellular matrix-microelectrodes for improving neural interfaces.

Wen Shen, Suradip Das, Flavia Vitale, Andrew Richardson, Akshay Ananthakrishnan, Laura A Struzyna, Daniel P Brown, Naixin Song, Murari Ramkumar, Timothy Lucas and 3 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
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  10. Graphene Oxide-Based Nanomaterials: An Insight into Retinal Prosthesis.International journal of molecular sciences · 2020
    Review
  11. Article
  12. Bioactive Neuroelectronic Interfaces.Frontiers in neuroscience · 2019
    Review
  13. Review
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

13 authors.

Wen Shen1Krishna P. Singh Center for Nanotechnology, University of Pennsylvania, Philadelphia, PA 19104 USA.
Suradip Das2Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA.
Flavia Vitale3Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA.
Andrew Richardson2Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA.
Akshay Ananthakrishnan4Department of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104 USA.ORCID 0000-0002-2791-9514
Laura A Struzyna5Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104 USA.
Daniel P Brown2Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA.
Naixin Song6Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104 USA.
Murari Ramkumar7Department of Materials Science and Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104 USA.
Timothy Lucas2Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA.
D Kacy Cullen2Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA.
Brian Litt3Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA.
Mark G Allen1Krishna P. Singh Center for Nanotechnology, University of Pennsylvania, Philadelphia, PA 19104 USA.

Funding

Biological 'Living Electrodes' Using Tissue Engineered Axonal Tracts to Probe and Modulate the Nervous SystemU01NS094340 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CULLEN, DANIEL KACY · 2015 to 2017
$2.0M
In-vivo Assessment of Extracellular-Matrix-Based Micromachined NeuroelectrodesR21EB022209 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI ALLEN, MARK G. · 2016 to 2017
$443k
NIBIB NIH HHS R21 EB022209NINDS NIH HHS U01 NS094340
6 · The paper itself

Abstract

Intracortical neural microelectrodes, which can directly interface with local neural microcircuits with high spatial and temporal resolution, are critical for neuroscience research, emerging clinical applications, and brain computer interfaces (BCI). However, clinical applications of these devices remain limited mostly by their inability to mitigate inflammatory reactions and support dense neuronal survival at their interfaces. Herein we report the development of microelectrodes primarily composed of extracellular matrix (ECM) proteins, which act as a bio-compatible and an electrochemical interface between the microelectrodes and physiological solution. These ECM-microelectrodes are batch fabricated using a novel combination of micro-transfer-molding and excimer laser micromachining to exhibit final dimensions comparable to those of commercial silicon-based microelectrodes. These are further integrated with a removable insertion stent which aids in intracortical implantation. Results from electrochemical models and in vivo recordings from the rat's cortex indicate that ECM encapsulations have no significant effect on the electrochemical impedance characteristics of ECM-microelectrodes at neurologically relevant frequencies. ECM-microelectrodes are found to support a dense layer of neuronal somata and neurites on the electrode surface with high neuronal viability and exhibited markedly diminished neuroinflammation and glial scarring in early chronic experiments in rats.

Identifiers

PMID31057918
PMCPMC6220172

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Registered trials

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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.