Evidence map›Paper›PMID 35370794›Full record

ArticleFrontiers in physiology2022

Peripheral Nerve Magnetoneurography With Optically Pumped Magnetometers.

Yifeng Bu, Jacob Prince, Hamed Mojtahed, Donald Kimball, Vishal Shah, Todd Coleman, Mahasweta Sarkar, Ramesh Rao, Mingxiong Huang, Peter Schwindt and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 36 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

12 authors at 6 institutions in 1 country.

Yifeng BuJacobs School of Engineering, Electrical and Computer Engineering, University of California San Diego, San Diego, CA, United States.
Jacob PrinceJacobs School of Engineering, Electrical and Computer Engineering, University of California San Diego, San Diego, CA, United States.
Hamed MojtahedJacobs School of Engineering, Electrical and Computer Engineering, University of California San Diego, San Diego, CA, United States.
Donald KimballJacobs School of Engineering, Electrical and Computer Engineering, University of California San Diego, San Diego, CA, United States.
Vishal ShahQuSpin Inc., Boulder, CO, United States.
Todd ColemanDepartment of Bioengineering, Stanford University, Stanford, CA, United States.
Mahasweta SarkarElectrical and Computer Engineering Department, San Diego State University, Stanford, CA, United States.
Ramesh RaoJacobs School of Engineering, Electrical and Computer Engineering, University of California San Diego, San Diego, CA, United States.
Mingxiong HuangDepartment of Radiology, Radiology Imaging Laboratory, University of California San Diego, San Diego, CA, United States.
Peter SchwindtQuantum Information Sciences, Sandia National Laboratories, Albuquerque, NM, United States.
Amir BornaQuantum Information Sciences, Sandia National Laboratories, Albuquerque, NM, United States.
Imanuel LermanJacobs School of Engineering, Electrical and Computer Engineering, University of California San Diego, San Diego, CA, United States.
University of California, San Diego · USJacobs (United States) · USSandia National Laboratories · USQuSpin (United States) · USSan Diego State University · USStanford University · US

Funding

Neuroimaging Investigation of mTBI and its Potentiation of PTSD in VeteransI01CX000499 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI HUANG, MINGXIONG · 2012 to 2019
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Diagnostic Machine Learning Algorithm to Identify MEG Features of Mild TBI and Comorbid PTSDI01CX002035 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI HUANG, MINGXIONG · 2020 to 2023
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Passive electrical neurofeedback treatment of mTBI: MEG and Behavioral OutcomesI01RX001988 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI HUANG, MINGXIONG · 2018 to 2022
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CSRD VA I01 CX000499CSRD VA I01 CX002035RRD VA I01 RX001988
6 · The paper itself

Abstract

Electrodiagnosis is routinely integrated into clinical neurophysiology practice for peripheral nerve disease diagnoses, such as neuropathy, demyelinating disorders, nerve entrapment/impingement, plexopathy, or radiculopathy. Measured with conventional surface electrodes, the propagation of peripheral nerve action potentials along a nerve is the result of ionic current flow which, according to Ampere's Law, generates a small magnetic field that is also detected as an "action current" by magnetometers, such as superconducting quantum interference device (SQUID) Magnetoencephalography (MEG) systems. Optically pumped magnetometers (OPMs) are an emerging class of quantum magnetic sensors with a demonstrated sensitivity at the 1 fT/√Hz level, capable of cortical action current detection. But OPMs were ostensibly constrained to low bandwidth therefore precluding their use in peripheral nerve electrodiagnosis. With careful OPM bandwidth characterization, we hypothesized OPMs may also detect compound action current signatures consistent with both Sensory Nerve Action Potential (SNAP) and the Hoffmann Reflex (H-Reflex). In as much, our work confirms OPMs enabled with expanded bandwidth can detect the magnetic signature of both the SNAP and H-Reflex. Taken together, OPMs now show potential as an emerging electrodiagnostic tool.

Indexed as

magnetoencephalographymagnetoneurographymagnetospinographyoptically pumped magnetometersensory nerve action potentialssuper conducting quantum interference devicesΗ-Reflex

Identifiers

PMID35370794
PMCPMC8975546
OpenAlexW4220889293

What OpenQuestion holds

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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.