Evidence map›Paper›PMID 41441491›Full record

ReviewNanomaterials (Basel, Switzerland)2025

Silicon Carbide Neural Interfaces: A Review of Progress Toward Monolithic Devices.

Christopher L Frewin, Matthew Melton, Evans Bernardin, Mohammad Beygi, Chenyin Feng, Stephen E Saddow

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Christopher L FrewinCrystal Cybernetics LLC, Monroe, MI 48161, USA.
Matthew MeltonDepartment of Medical Engineering, University of South Florida (USF), Tampa, FL 33620, USA.
Evans BernardinDepartment of Electrical Engineering, University of South Florida (USF), Tampa, FL 33620, USA.
Mohammad BeygiDepartment of Electrical Engineering, University of South Florida (USF), Tampa, FL 33620, USA.
Chenyin FengDepartment of Mechanical Engineering, University of South Florida (USF), Tampa, FL 33620, USA.ORCID 0000-0001-9865-3891
Stephen E SaddowDepartment of Medical Engineering, University of South Florida (USF), Tampa, FL 33620, USA.ORCID 0000-0001-7141-8146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The promise of intracortical neural interfaces-to restore lost sensory and motor function and probe the brain's activity-has long been constrained by device instability over chronic implantation. Conventional silicon-based probes, composed of heterogeneous materials, often fail due to mechanical mismatch, inflammatory responses, and interface-driven degradation, where stress can induce cracking, swelling, and exposure of cytotoxic elements to neural tissue. Silicon carbide (SiC) offers a compelling solution, combining chemical inertness, structural strength, and biocompatibility in both amorphous and crystalline forms. In this review, we discuss advances in SiC neural interfaces, highlighting contributions from multiple laboratories and emphasizing our own work on monolithic devices, constructed entirely from a single, homogeneous SiC material system. These devices mitigate interface-driven failures and show preliminary indications of magnetic resonance imaging (MRI) compatibility, with minimal image artifacts observed compared to conventional silicon probes, though further in vivo studies are needed to confirm thermal safety at high-field conditions. Collectively, SiC establishes a versatile platform for next-generation, durable neural interfaces capable of reliable, long-term brain interaction for both scientific and clinical applications.

Indexed as

monolithic SiC technologyneural interfacessilicon carbide

Identifiers

PMID41441491
PMCPMC12735779

What OpenQuestion holds

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LicenceCC BY
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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.