Evidence map›Paper›PMID 34050691›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2021

Emerging Materials and Technologies with Applications in Flexible Neural Implants: A Comprehensive Review of Current Issues with Neural Devices.

Younguk Cho, Sanghoon Park, Juyoung Lee, Ki Jun Yu

Open access · hybridAbstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
8.3field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 124 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Younguk ChoSchool of Electrical Engineering, Yonsei University, Seoul, 03722, Korea.
Sanghoon ParkSchool of Electrical Engineering, Yonsei University, Seoul, 03722, Korea.
Juyoung LeeSchool of Electrical Engineering, Yonsei University, Seoul, 03722, Korea.
Ki Jun YuSchool of Electrical Engineering, YU-KIST Institute, Yonsei University, Seoul, 03722, Korea.ORCID https://orcid.org/0000-0002-2922-2702
Yonsei University · KR

Funding

National Research Foundation of Korea NRF-2018M3A7B4071109National Research Foundation of Korea NRF-2019R1A2C2086085
6 · The paper itself

Abstract

Neuroscience is an essential field of investigation that reveals the identity of human beings, with a comprehensive understanding of advanced mental activities, through the study of neurobiological structures and functions. Fully understanding the neurotransmission system that allows for connectivity among neuronal circuits has paved the way for the development of treatments for neurodegenerative diseases such as Parkinson's disease, Alzheimer's disease, and depression. The field of flexible implants has attracted increasing interest mainly to overcome the mechanical mismatch between rigid electrode materials and soft neural tissues, enabling precise measurements of neural signals from conformal contact. Here, the current issues of flexible neural implants (chronic device failure, non-bioresorbable electronics, low-density electrode arrays, among others are summarized) by presenting material candidates and designs to address each challenge. Furthermore, the latest investigations associated with the aforementioned issues are also introduced, including suggestions for ideal neural implants. In terms of the future direction of these advances, designing flexible devices would provide new opportunities for the study of brain-machine interfaces or brain-computer interfaces as part of locomotion through brain signals, and for the treatment of neurodegenerative diseases.

Indexed as

Brain-Computer InterfacesAnimalsBiocompatible MaterialsElectrodes, ImplantedHumansProstheses and ImplantsBiocompatible Materialsbiointegrated electronicsflexible electronicsneural implants

Identifiers

PMID34050691
PMCPMC11468537
OpenAlexW3164258511

What Socratic 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 Socratic graph.