Evidence map›Paper›PMID 35589877›Full record

ArticleScientific reports2022

In silico assessment of electrophysiological neuronal recordings mediated by magnetoelectric nanoparticles.

Ilhan Bok, Ido Haber, Xiaofei Qu, Aviad Hai

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 37 citations in OpenAlex.

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  14. Magnetoelectric nanoparticles shape modulates their electrical output.Frontiers in bioengineering and biotechnology · 2023
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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

4 authors at 2 institutions in 1 country.

Ilhan BokDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Ido HaberDepartment of Integrative Biology, University of Wisconsin-Madison, Madison, WI, USA.
Xiaofei QuDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Aviad HaiDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA. ahai@wisc.edu.
University of Wisconsin–Madison · USWisconsin Institutes for Discovery · US

Funding

Achieving Direct Functional Imaging of Brain Electrophysiology: Nanofabricated Cell-sized Electronic Sensors for Magnetic Resonance ImagingDP2NS122605 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI HAI, AVIAD · 2020 to 2020
$2.3M
Wireless Sensors for Functional MRI of Brain SeizuresK01EB027184 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI HAI, AVIAD · 2019 to 2020
$346k
NIBIB NIH HHS K01 EB027184NINDS NIH HHS DP2 NS122605NINDS NIH HHS DP2NS122605
6 · The paper itself

Abstract

Magnetoelectric materials hold untapped potential to revolutionize biomedical technologies. Sensing of biophysical processes in the brain is a particularly attractive application, with the prospect of using magnetoelectric nanoparticles (MENPs) as injectable agents for rapid brain-wide modulation and recording. Recent studies have demonstrated wireless brain stimulation in vivo using MENPs synthesized from cobalt ferrite (CFO) cores coated with piezoelectric barium titanate (BTO) shells. CFO-BTO core-shell MENPs have a relatively high magnetoelectric coefficient and have been proposed for direct magnetic particle imaging (MPI) of brain electrophysiology. However, the feasibility of acquiring such readouts has not been demonstrated or methodically quantified. Here we present the results of implementing a strain-based finite element magnetoelectric model of CFO-BTO core-shell MENPs and apply the model to quantify magnetization in response to neural electric fields. We use the model to determine optimal MENPs-mediated electrophysiological readouts both at the single neuron level and for MENPs diffusing in bulk neural tissue for in vivo scenarios. Our results lay the groundwork for MENP recording of electrophysiological signals and provide a broad analytical infrastructure to validate MENPs for biomedical applications.

Indexed as

NanoparticlesElectricityElectrophysiological PhenomenaNeurons

Identifiers

PMID35589877
PMCPMC9120189
OpenAlexW4280627324

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.