Evidence map›Paper›PMID 37485070›Full record

ArticleMRS bulletin2023

Advanced materials for implantable neuroelectronics.

Yongli Qi, Seung-Kyun Kang, Hui Fang

Abstract read
In one paragraph

Article in MRS bulletin, 2023. 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.

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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

3 authors.

Yongli QiThayer School of Engineering, Dartmouth College, Hanover, USA.
Seung-Kyun KangDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.
Hui FangThayer School of Engineering, Dartmouth College, Hanover, USA.

Funding

Neuro-CROWN:Optimized Ultra-Flexible CMOS Electrode Arrays for 3D, Low-Noise Neural InterfacesU01NS123668 · NINDS · DUKE UNIVERSITY · PI FANG, HUI, VIVENTI, JONATHAN · 2021 to 2024
$2.9M
Novel Transparent, Ultra-soft Neuroelectrode Arrays Based on Nanomeshing Conventional Electrode Materials SUPPLEMENTRF1NS118301 · NINDS · NORTHEASTERN UNIVERSITY · PI FAGIOLINI, MICHELA, FANG, HUI · 2020 to 2022
$2.4M
Massively Multiplexed Gold Microprobe Arrays for Whole-Mouse-Brain RecordingR21EY030710 · NEI · NORTHEASTERN UNIVERSITY · PI FANG, HUI, WALKER, ROSS M · 2019 to 2019
$479k
NEI NIH HHS R21 EY030710NINDS NIH HHS RF1 NS118301NINDS NIH HHS U01 NS123668
6 · The paper itself

Abstract

Materials innovation has arguably played one of the most important roles in the development of implantable neuroelectronics. Such technologies explore biocompatible working systems for reading, triggering, and manipulating neural signals for neuroscience research and provide the additional potential to develop devices for medical diagnostics and/or treatment. The past decade has witnessed a golden era in neuroelectronic materials research. For example, R&D on soft material-based devices have exploded and taken center stage for many applications, including both central and peripheral nerve interfaces. Recent developments have also witnessed the emergence of biodegradable and multifunctional devices. In this article, we aim to overview recent advances in implantable neuroelectronics with an emphasis on chronic biocompatibility, biodegradability, and multifunctionality. In addition to highlighting fundamental materials innovations, we also discuss important challenges and future opportunities.

Identifiers

PMID37485070
PMCPMC10361212

What OpenQuestion holds

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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.