Evidence map›Paper›PMID 34177136›Full record

ArticleJournal of micromechanics and microengineering : structures, devices, and systems2021

Hybrid Electrical and Optical Neural Interfaces.

Zeinab Ramezani, Kyung Jin Seo, Hui Fang

Open access · greenAbstract read
In one paragraph

Article in Journal of micromechanics and microengineering : structures, devices, and systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 16 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

3 authors at 1 institution in 1 country.

Zeinab Ramezani *Department of Electrical and Computer Engineering.
Kyung Jin Seo *Department of Electrical and Computer Engineering.
Hui FangDepartment of Electrical and Computer Engineering.
Northeastern University · US

Funding

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
NINDS NIH HHS RF1 NS118301
6 · The paper itself

Abstract

Neural interfaces bridge the nervous system and the outside world by recording and stimulating neurons. Combining electrical and optical modalities in a single, hybrid neural interface system could lead to complementary and powerful new ways to explore the brain. It has gained robust and exciting momentum recently in neuroscience and neural engineering research. Here, we review developments in the past several years aiming to achieve such hybrid electrical and optical microsystem platforms. Specifically, we cover three major categories of technological advances: transparent neuroelectrodes, optical neural fibers with electrodes, and neural probes/grids integrating electrodes and microscale light-emitting diodes. We discuss examples of these probes tailored to combine electrophysiological recording with optical imaging or optical neural stimulation of the brain and possible directions of future innovation.

Indexed as

hybridLEDneural interfacesoptical fiberstransparent electrodes

Identifiers

PMID34177136
PMCPMC8232899
OpenAlexW3133983946

What OpenQuestion holds

Textmetadata
LicenceTDM
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.