Evidence map›Paper›PMID 32899336›Full record

ArticleMicromachines2020

Investigating the Association between Motor Function, Neuroinflammation, and Recording Metrics in the Performance of Intracortical Microelectrode Implanted in Motor Cortex.

Evon S Ereifej, Youjun Li, Monika Goss-Varley, Youjoung Kim, Seth M Meade, Keying Chen, Jacob Rayyan, He Feng, Keith Dona, Justin McMahon and 3 more

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 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
–field-weighted citation impact, top 90% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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
  4. Effects of Micromachining on Anti-oxidant Elution from a Mechanically-Adaptive Polymer.Journal of micromechanics and microengineering : structures, devices, and systems · 2024
    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

13 authors at 5 institutions in 1 country.

Evon S EreifejDepartments of Neurology and Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Youjun LiDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA.
Monika Goss-VarleyAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA.
Youjoung KimAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA.
Seth M MeadeAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA.
Keying ChenAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA.
Jacob RayyanAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA.
He FengAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA.
Keith DonaAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA.
Justin McMahonAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA.
Dawn TaylorAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA.
Jeffrey R CapadonaAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA.
Jiayang SunDepartment of Statistics, George Mason University, Fairfax, VA 22032, USA.
Louis Stokes Cleveland VA Medical Center · USAgricultural Research Service · USCase Western Reserve University · USCleveland Clinic Lerner College of Medicine · USUniversity of Michigan · 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
–
NIH HHS 5T- 32EB004314-16RRD VA IK2 RX002628U.S. Department of Veterans Affairs GRANT11422140U.S. Department of Veterans Affairs GRANT12299916U.S. Department of Veterans Affairs GRANT12635707U.S. Department of Veterans Affairs RX001664-01A1U.S. Department of Veterans Affairs RX002628-01A1
6 · The paper itself

Abstract

Long-term reliability of intracortical microelectrodes remains a challenge for increased acceptance and deployment. There are conflicting reports comparing measurements associated with recording quality with postmortem histology, in attempts to better understand failure of intracortical microelectrodes (IMEs). Our group has recently introduced the assessment of motor behavior tasks as another metric to evaluate the effects of IME implantation. We hypothesized that adding the third dimension to our analysis, functional behavior testing, could provide substantial insight on the health of the tissue, success of surgery/implantation, and the long-term performance of the implanted device. Here we present our novel analysis scheme including: (1) the use of numerical formal concept analysis (nFCA) and (2) a regression analysis utilizing modern model/variable selection. The analyses found complimentary relationships between the variables. The histological variables for glial cell activation had associations between each other, as well as the neuronal density around the electrode interface. The neuronal density had associations to the electrophysiological recordings and some of the motor behavior metrics analyzed. The novel analyses presented herein describe a valuable tool that can be utilized to assess and understand relationships between diverse variables being investigated. These models can be applied to a wide range of ongoing investigations utilizing various devices and therapeutics.

Indexed as

inflammationintracortical microelectrode performancemotor behaviornumerical formal concept analysis (nFCA), regression analysis

Identifiers

PMID32899336
PMCPMC7570280
OpenAlexW3082017452

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.