Evidence map›Paper›PMID 42780334›Full record

ArticleFrontiers in neuroscience2026

Conformable thin-film cuff electrodes as tools for peripheral nerve recording: a comparative study.

Amparo Güemes, Margaux O A Forner, Ariadna Guindo-Arroyo, Ruben Ruiz-Mateos Serrano, George G Malliaras, Alejandro Carnicer-Lombarte

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Amparo GüemesDepartment of Engineering, Institute for Biomedical Innovation, University of Cambridge, Cambridge, United Kingdom.
Margaux O A FornerDepartment of Engineering, Institute for Biomedical Innovation, University of Cambridge, Cambridge, United Kingdom.
Ariadna Guindo-ArroyoDepartment of Engineering, Institute for Biomedical Innovation, University of Cambridge, Cambridge, United Kingdom.
Ruben Ruiz-Mateos SerranoDepartment of Engineering, Institute for Biomedical Innovation, University of Cambridge, Cambridge, United Kingdom.
George G MalliarasDepartment of Engineering, Institute for Biomedical Innovation, University of Cambridge, Cambridge, United Kingdom.
Alejandro Carnicer-LombarteDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripheral nerve recordings are a powerful research technique commonly performed using commercially available elastomeric cuff electrodes. However, emerging conformable thin-film technologies which offer advantages in device flexibility, feature miniaturisation, and electrode layout may represent an important alternative tool. In this study, we compare these two device classes as acute recording tools by implanting them side-by-side on rat sciatic nerves under anaesthesia and recording activity evoked by nociceptive muscle stimulation or proprioceptive ankle extension. We find that conventional elastomeric cuffs and conformable thin-film cuffs exhibit no statistically significant signal-to-noise ratio differences under this experimental regime, either under monopolar or referenced recording paradigms. When performing signal velocity analysis, conformable thin-film cuffs show a tendency to toward more frequently classifying recorded sensory activity as afferent, compared to conventional cuffs. Our findings support that conformable thin-film cuffs are competitive research tools for acute peripheral nerve recording.

Indexed as

bioelectronicselectrophysiologyimplantsneuroscienceperipheral nerverodentvelocity analysis

Identifiers

PMID42780334
PMCPMC13597831

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.