Evidence map›Paper›PMID 33530350›Full record

ArticleMicromachines2021

Silicon Carbide and MRI: Towards Developing a MRI Safe Neural Interface.

Mohammad Beygi, William Dominguez-Viqueira, Chenyin Feng, Gokhan Mumcu, Christopher L Frewin, Francesco La Via, Stephen E Saddow

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2021. 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
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  7. A FlexibleMicromachines · 2021
    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

7 authors.

Mohammad BeygiElectrical Engineering Department, University of South Florida, Tampa, FL 33620, USA.ORCID 0000-0003-4606-3747
William Dominguez-ViqueiraMoffitt Cancer Center, Tampa, FL 33620, USA.
Chenyin FengDepartment of Mechanical Engineering, University of South Florida, Tampa, FL 33620, USA.ORCID 0000-0001-9865-3891
Gokhan MumcuElectrical Engineering Department, University of South Florida, Tampa, FL 33620, USA.
Christopher L FrewinNeuroNexus, LLC, Ann Arbor, MI 48108, USA.
Francesco La ViaIMM-CNR, Catania, I-95121 Sicily, Italy.ORCID 0000-0002-6842-581X
Stephen E SaddowElectrical Engineering Department, University of South Florida, Tampa, FL 33620, USA.ORCID 0000-0001-7141-8146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An essential method to investigate neuromodulation effects of an invasive neural interface (INI) is magnetic resonance imaging (MRI). Presently, MRI imaging of patients with neural implants is highly restricted in high field MRI (e.g., 3 T and higher) due to patient safety concerns. This results in lower resolution MRI images and, consequently, degrades the efficacy of MRI imaging for diagnostic purposes in these patients. Cubic silicon carbide (3C-SiC) is a biocompatible wide-band-gap semiconductor with a high thermal conductivity and magnetic susceptibility compatible with brain tissue. It also has modifiable electrical conductivity through doping level control. These properties can improve the MRI compliance of 3C-SiC INIs, specifically in high field MRI scanning. In this work, the MRI compliance of epitaxial SiC films grown on various Si wafers, used to implement a monolithic neural implant (

Indexed as

finite element simulationMRI compatibilityMRI image artifactsneural interfaceSARsilicon carbide

Identifiers

PMID33530350
PMCPMC7911642

What OpenQuestion holds

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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.