Evidence map›Paper›PMID 33052886›Full record

ArticleJournal of neural engineering2020

A soft and stretchable bilayer electrode array with independent functional layers for the next generation of brain machine interfaces.

Oliver Graudejus, Cody Barton, Ruben D Ponce Wong, Cami C Rowan, Denise Oswalt, Bradley Greger

Open access · greenAbstract read
In one paragraph

Article in Journal of neural engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 1 country.

Oliver GraudejusSchool of Molecular Science, Arizona State University, Tempe, AZ, United States of America.ORCID 0000-0002-4204-4824
Cody BartonSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States of America.
Ruben D Ponce WongBMSEED, Phoenix, AZ, United States of America.
Cami C RowanBMSEED, Phoenix, AZ, United States of America.ORCID 0000-0001-9619-3035
Denise OswaltSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States of America.
Bradley GregerSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States of America.
Arizona State University · USBMSEED (United States) · US

Funding

Development of a large area high resolution micro ECoG electrode arrayR43NS093714 · NINDS · BMSEED, LLC · PI GRAUDEJUS, OLIVER · 2016 to 2017
$569k
NINDS NIH HHS R43 NS093714
6 · The paper itself

Abstract

objectiveBrain-Machine Interfaces (BMIs) hold great promises for advancing neuroprosthetics, robotics, and for providing treatment options for severe neurological diseases. The objective of this work is the development and in vivo evaluation of electrodes for BMIs that meet the needs to record brain activity at sub-millimeter resolution over a large area of the cortex while being soft and electromechanically robust (i.e. stretchable). APPROACH: Current electrodes require a trade-off between high spatiotemporal resolution and cortical coverage area. To address the needs for simultaneous high resolution and large cortical coverage, the prototype electrode array developed in this study employs a novel bilayer routing of soft and stretchable lead wires from the recording sites on the surface of the brain (electrocorticography, ECoG) to the data acquisition system. MAIN

resultsTo validate the recording characteristics, the array was implanted in healthy felines for up to 5 months. Neural signals recorded from both layers of the device showed elevated mid-frequency structures typical of local field potential (LFP) signals that were stable in amplitude over implant duration, and also exhibited consistent frequency-dependent modulation after anesthesia induction by Telazol. SIGNIFICANCE: The successful development of a soft and stretchable large-area, high resolution micro ECoG electrode array (lahrμECoG) is an important step to meet the neurotechnological needs of advanced BMI applications.

Indexed as

Brain-Computer InterfacesAnimalsBrainCatsElectrocorticographyElectrodes, Implanted

Identifiers

PMID33052886
PMCPMC7891917
OpenAlexW3081934445

What OpenQuestion holds

Textmetadata
LicenceTDM
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.