Evidence map›Paper›PMID 30658503›Full record

ReviewMicromachines2019

Progress in the Field of Micro-Electrocorticography.

Mehdi Shokoueinejad, Dong-Wook Park, Yei Hwan Jung, Sarah K Brodnick, Joseph Novello, Aaron Dingle, Kyle I Swanson, Dong-Hyun Baek, Aaron J Suminski, Wendell B Lake and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Review of Recent Advances in Implantable Brain-Computer Interfaces for the Restoration of Motor Function in Patients With Paralysis.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. In vivo microelectrode arrays for neuroscience.Nature reviews. Methods primers · 2025
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Transparent, Low-Impedance Inkjet-Printed PEDOT:PSS Microelectrodes for Multi-modal Neuroscience.Physica status solidi. A, Applications and materials science : PSS · 2022
    Article
  20. 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

12 authors at 2 institutions in 2 countries.

Mehdi ShokoueinejadDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. mehdi.snm@bme.wisc.edu.ORCID 0000-0001-8314-3645
Dong-Wook ParkDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. dwpark31@uos.ac.kr.
Yei Hwan JungDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. yhjung89@gmail.com.ORCID 0000-0002-1754-2602
Sarah K BrodnickDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. skkorinek@wisc.edu.
Joseph NovelloDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. novello@wisc.edu.
Aaron DingleDivision of Plastic and Reconstructive Surgery, Department of Surgery, University of Wisconsin-Madison, Madison, WI 53792, USA. dingle@surgery.wisc.edu.
Kyle I SwansonDepartment of Neurosurgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA. kiswanson@gmail.com.
Dong-Hyun BaekDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. wpvmqor@gmail.com.
Aaron J SuminskiDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. suminski@neurosurgery.wisc.edu.
Wendell B LakeDepartment of Neurosurgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA. lake@neurosurgery.wisc.edu.
Zhenqiang MaDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. mazq@engr.wisc.edu.
Justin WilliamsDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. jwilliams@engr.wisc.edu.
University of Wisconsin–Madison · USUniversity of Seoul · KR

Funding

Army Research Office W911NF-14-1-0652Defense Advanced Research Projects Agency N66001-12-C-4025National Research Foundation of Korea 2018R1C1B6001529
6 · The paper itself

Abstract

Since the 1940s electrocorticography (ECoG) devices and, more recently, in the last decade, micro-electrocorticography (µECoG) cortical electrode arrays were used for a wide set of experimental and clinical applications, such as epilepsy localization and brain⁻computer interface (BCI) technologies. Miniaturized implantable µECoG devices have the advantage of providing greater-density neural signal acquisition and stimulation capabilities in a minimally invasive fashion. An increased spatial resolution of the µECoG array will be useful for greater specificity diagnosis and treatment of neuronal diseases and the advancement of basic neuroscience and BCI research. In this review, recent achievements of ECoG and µECoG are discussed. The electrode configurations and varying material choices used to design µECoG arrays are discussed, including advantages and disadvantages of µECoG technology compared to electroencephalography (EEG), ECoG, and intracortical electrode arrays. Electrode materials that are the primary focus include platinum, iridium oxide, poly(3,4-ethylenedioxythiophene) (PEDOT), indium tin oxide (ITO), and graphene. We discuss the biological immune response to µECoG devices compared to other electrode array types, the role of µECoG in clinical pathology, and brain⁻computer interface technology. The information presented in this review will be helpful to understand the current status, organize available knowledge, and guide future clinical and research applications of µECoG technologies.

Indexed as

brain–computer interfaceECoGelectrocorticographyelectrophysiologygraphenein vivo imagingmicro-electrocorticographyneural electrode arrayneural interfacestissue responseµECoG

Identifiers

PMID30658503
PMCPMC6356841
OpenAlexW2908982302

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.