Evidence map›Paper›PMID 32191878›Full record

ArticleIEEE transactions on bio-medical engineering2020

Evaluation of Durability of Transparent Graphene Electrodes Fabricated on Different Flexible Substrates for Chronic In Vivo Experiments.

David Ding, Yichen Lu, Ruoyu Zhao, Xin Liu, Chawina De-Eknamkul, Chi Ren, Armaghan Mehrsa, Takaki Komiyama, Duygu Kuzum

Open access · hybridAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Atomically thin bioelectronics.Nature reviews. Materials · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

9 authors at 1 institution in 1 country.

David Ding
Yichen Lu
Ruoyu Zhao
Xin Liu
Chawina De-Eknamkul
Chi Ren
Armaghan Mehrsa
Takaki Komiyama
Duygu Kuzum
University of California San Diego · US

Funding

Vision BiostatisticsP30EY022589 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Radha Ayyagari · 2012 to 2026
$10.3M
Cortical Control of Motor LearningR01NS091010 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIYAMA, TAKAKI · 2015 to 2024
$3.7M
E-Organoids: Functional Brain Organoids Co-grafted with Transparent MicrothreadsDP2EB030992 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KUZUM, DUYGU · 2020 to 2020
$2.4M
Experience-driven plasticity of olfactory bulb odor representationsR01DC014690 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIYAMA, TAKAKI · 2015 to 2019
$1.9M
Experience-driven plasticity of visual circuitsR01EY025349 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIYAMA, TAKAKI · 2015 to 2019
$1.6M
Transparent neural interface for in vivo interrogation of human organoidsR21EY030727 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEVOR, ANNA · 2019 to 2019
$456k
An Ultra High-Density Virtual Array with Nonlinear Processing of Multimodal Neural RecordingsR21EY029466 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KUZUM, DUYGU · 2018 to 2019
$455k
CRISPR-based mosaic analysis of neuromodulatory control of learning-related plasticityR21NS109722 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIYAMA, TAKAKI · 2019 to 2019
$433k
Multimodal Probing of Neural Activity Using Transparent Microelectrode ArraysR21EB026180 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KUZUM, DUYGU · 2018 to 2019
$433k
NEI NIH HHS P30 EY022589NEI NIH HHS R01 EY025349NEI NIH HHS R21 EY029466NEI NIH HHS R21 EY030727NIBIB NIH HHS DP2 EB030992NIBIB NIH HHS R21 EB026180NIDCD NIH HHS R01 DC014690NINDS NIH HHS R01 NS091010NINDS NIH HHS R21 NS109722
6 · The paper itself

Abstract

objectiveTo investigate chronic durability of transparent graphene electrodes fabricated on polyethylene terephthalate (PET) and SU-8 substrates for chronic in vivo studies.

methodsWe perform systematic accelerated aging tests to understand the chronic reliability and failure modes of transparent graphene microelectrode arrays built on PET and SU-8 substrates. We employ graphene microelectrodes fabricated on PET substrate in chronic in vivo experiments with transgenic mice.

resultsOur results show that graphene microelectrodes fabricated on PET substrate work reliably after 30 days accelerated aging test performed at 87 °C, equivalent to 960 days in vivo lifetime. We demonstrate stable chronic recordings of cortical potentials in multimodal imaging/recording experiments using transparent graphene microelectrodes fabricated on PET substrate. On the other hand, graphene microelectrode arrays built on SU-8 substrate exhibit extensive crack formation across microelectrode sites and wires after one to two weeks, resulting in total failure of recording capability for chronic studies.

conclusionPET shows superior reliability as a substrate for graphene microelectrode arrays for chronic in vivo experiments. SIGNIFICANCE: Graphene is a unique neural interface material enabling cross-talk free integration of electrical and optical recording and stimulation techniques in the same experiment. To date, graphene-based microelectrode arrays have been demonstrated in various multi-modal acute experiments involving electrophysiological sensing or stimulation, optical imaging and optogenetics stimulation. Understanding chronic reliability of graphene-based transparent interfaces is very important to expand the use of this technology for long-term behavioral studies with animal models.

Indexed as

GraphiteAnimalsElectrodes, ImplantedMiceMicroelectrodesOptogeneticsReproducibility of ResultsGraphite

Identifiers

PMID32191878
PMCPMC8560430
OpenAlexW3012097348

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.