Evidence map›Paper›PMID 39659711›Full record

ReviewMed-X2024

Hydrogels in wearable neural interfaces.

Mengmeng Yao, Ju-Chun Hsieh, Kai Wing Kevin Tang, Huiliang Wang

Abstract readReview
In one paragraph

Review in Med-X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

4 authors.

Mengmeng Yao *Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712 USA.
Ju-Chun Hsieh *Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712 USA.
Kai Wing Kevin TangDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712 USA.
Huiliang WangDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712 USA.ORCID 0000-0003-4063-270X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of wearable neural interfaces (WNIs) with the human nervous system has marked a significant progression, enabling progress in medical treatments and technology integration. Hydrogels, distinguished by their high-water content, low interfacial impedance, conductivity, adhesion, and mechanical compliance, effectively address the rigidity and biocompatibility issues common in traditional materials. This review highlights their important parameters-biocompatibility, interfacial impedance, conductivity, and adhesiveness-that are integral to their function in WNIs. The applications of hydrogels in wearable neural recording and neurostimulation are discussed in detail. Finally, the opportunities and challenges faced by hydrogels for WNIs are summarized and prospected. This review aims to offer a thorough examination of hydrogel technology's present landscape and to encourage continued exploration and innovation. As developments progress, hydrogels are poised to revolutionize wearable neural interfaces, offering significant enhancements in healthcare and technological applications. Graphical Abstract:

Indexed as

AdhesivenessCompatibilityConductivityHydrogelsImpedanceNeural recordingNeurostimulationWearable neural interface

Identifiers

PMID39659711
PMCPMC11625692

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.