Evidence map›Paper›PMID 39185373›Full record

ArticleJournal of manufacturing processes2024

Design, Fabrication, and Implantation of Invasive Microelectrode Arrays as in vivo Brain Machine Interfaces: A Comprehensive Review.

Dongyang Yi, Yao Yao, Yi Wang, Lei Chen

Abstract read
In one paragraph

Article in Journal of manufacturing processes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. In vivo microelectrode arrays for neuroscience.Nature reviews. Methods primers · 2025
    Article
  10. 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

4 authors.

Dongyang YiDepartment of Mechanical and Industrial Engineering, University of Massachusetts Lowell, Lowell, MA 01854.
Yao YaoDepartment of Industrial and Systems Engineering, University of Missouri, Columbia, MO 65211.
Yi WangDepartment of Industrial and Systems Engineering, University of Missouri, Columbia, MO 65211.
Lei ChenDepartment of Mechanical and Industrial Engineering, University of Massachusetts Lowell, Lowell, MA 01854.

Funding

Development of Low-Cost Automatic Machine for In-House Fabrication of Custom Microwire-Based Microelectrode Arrays for Electrophysiology RecordingsR15NS133861 · NINDS · UNIVERSITY OF MASSACHUSETTS LOWELL · PI CHEN, LEI · 2023 to 2023
$466k
NINDS NIH HHS R15 NS133861
6 · The paper itself

Abstract

Invasive Microelectrode Arrays (MEAs) have been a significant and useful tool for us to gain a fundamental understanding of how the brain works through high spatiotemporal resolution neuron-level recordings and/or stimulations. Through decades of research, various types of microwire, silicon, and flexible substrate-based MEAs have been developed using the evolving new materials, novel design concepts, and cutting-edge advanced manufacturing capabilities. Surgical implantation of the latest minimal damaging flexible MEAs through the hard-to-penetrate brain membranes introduces new challenges and thus the development of implantation strategies and instruments for the latest MEAs. In this paper, studies on the design considerations and enabling manufacturing processes of various invasive MEAs as in vivo brain-machine interfaces have been reviewed to facilitate the development as well as the state-of-art of such brain-machine interfaces from an engineering perspective. The challenges and solution strategies developed for surgically implanting such interfaces into the brain have also been evaluated and summarized. Finally, the research gaps have been identified in the design, manufacturing, and implantation perspectives, and future research prospects in invasive MEA development have been proposed.

Indexed as

Brain-machine interfacesDesignIn vivoManufacturing processesMicroelectrode arraysSurgical implantation

Identifiers

PMID39185373
PMCPMC11340637

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Registered trials

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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.