Evidence map›Paper›PMID 27731326›Full record

ArticleScientific reports2016

A novel bio-mimicking, planar nano-edge microelectrode enables enhanced long-term neural recording.

Pierre Wijdenes, Hasan Ali, Ryden Armstrong, Wali Zaidi, Colin Dalton, Naweed I Syed

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Single neurons on microelectrode array chip: manipulation and analyses.Frontiers in bioengineering and biotechnology · 2023
    Article
  2. Article
  3. Lab-on-Chip Microsystems forFrontiers in bioengineering and biotechnology · 2022
    Review
  4. Article
  5. Nanotechnology Facilitated Cultured Neuronal Network and Its Applications.International journal of molecular sciences · 2021
    Review
  6. Article
  7. 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

6 authors.

Pierre WijdenesBiomedical Engineering Graduate Program, University of Calgary, Calgary, Canada.
Hasan AliDepartment of Electrical and Computer Engineering, University of Calgary, Calgary, Canada.
Ryden ArmstrongHotchkiss Brain Institute, University of Calgary, Calgary, Canada.
Wali ZaidiHotchkiss Brain Institute, University of Calgary, Calgary, Canada.
Colin DaltonBiomedical Engineering Graduate Program, University of Calgary, Calgary, Canada.
Naweed I SyedHotchkiss Brain Institute, University of Calgary, Calgary, Canada.

Funding

CIHR
6 · The paper itself

Abstract

Our inability to accurately monitor individual neurons and their synaptic activity precludes fundamental understanding of brain function under normal and various pathological conditions. However, recent breakthroughs in micro- and nano-scale fabrication processes have advanced the development of neuro-electronic hybrid technology. Among such devices are three-dimensional and planar electrodes, offering the advantages of either high fidelity or longer-term recordings respectively. Here, we present the next generation of planar microelectrode arrays with "nano-edges" that enable long-term (≥1 month) and high fidelity recordings at a resolution 15 times higher than traditional planar electrodes. This novel technology enables better understanding of brain function and offers a tremendous opportunity towards the development of future bionic hybrids and drug discovery devices.

Indexed as

MicroelectrodesAnimalsBiomimeticsCells, CulturedElectrical SynapsesElectric StimulationLymnaeaModels, NeurologicalNanotechnologyNeuronsSynaptic Transmission

Identifiers

PMID27731326
PMCPMC5059639

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.