Evidence map›Paper›PMID 27735935›Full record

ArticleNature protocols2016

Fabrication and utility of a transparent graphene neural electrode array for electrophysiology, in vivo imaging, and optogenetics.

Dong-Wook Park, Sarah K Brodnick, Jared P Ness, Farid Atry, Lisa Krugner-Higby, Amelia Sandberg, Solomon Mikael, Thomas J Richner, Joseph Novello, Hyungsoo Kim and 9 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  18. Graphene-based cardiac sensors and actuators.Frontiers in bioengineering and biotechnology · 2023
    Review
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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

19 authors.

Dong-Wook ParkDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID http://orcid.org/0000-0001-9219-6845
Sarah K BrodnickDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jared P NessDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Farid AtryDepartment of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Lisa Krugner-HigbyDepartment of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Amelia SandbergDepartment of Neuromodulation, Medtronic, Fridley, Minnesota, USA.
Solomon MikaelDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Thomas J RichnerDepartment of Physiology and Biophysics, University of Washington, Seattle, Washington, USA.
Joseph NovelloDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Hyungsoo KimDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Dong-Hyun BaekDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jihye BongDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Seth T FryeDepartment of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Sanitta ThongpangDepartment of Biomedical Engineering, Mahidol University, Bangkok, Thailand.
Kyle I SwansonDepartment of Neurosurgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Wendell LakeDepartment of Neurosurgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Ramin PashaieDepartment of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Justin C WilliamsDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Zhenqiang MaDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transparent graphene-based neural electrode arrays provide unique opportunities for simultaneous investigation of electrophysiology, various neural imaging modalities, and optogenetics. Graphene electrodes have previously demonstrated greater broad-wavelength transmittance (∼90%) than other transparent materials such as indium tin oxide (∼80%) and ultrathin metals (∼60%). This protocol describes how to fabricate and implant a graphene-based microelectrocorticography (μECoG) electrode array and subsequently use this alongside electrophysiology, fluorescence microscopy, optical coherence tomography (OCT), and optogenetics. Further applications, such as transparent penetrating electrode arrays, multi-electrode electroretinography, and electromyography, are also viable with this technology. The procedures described herein, from the material characterization methods to the optogenetic experiments, can be completed within 3-4 weeks by an experienced graduate student. These protocols should help to expand the boundaries of neurophysiological experimentation, enabling analytical methods that were previously unachievable using opaque metal-based electrode arrays.

Indexed as

Electrodes, ImplantedGraphiteAnimalsElectrodesElectrophysiologyEquipment DesignMiceMolecular ImagingOptogeneticsRatsTin CompoundsGraphiteindium tin oxideTin Compounds

Identifiers

PMID27735935

What OpenQuestion holds

Textmetadata
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.