Evidence map›Paper›PMID 39445170›Full record

ArticleFrontiers in medical technology2024

Towards non-invasive imaging through spinal-cord generated magnetic fields.

Meaghan E Spedden, George C O'Neill, Tim M Tierney, Timothy O West, Maike Schmidt, Stephanie Mellor, Simon F Farmer, Sven Bestmann, Gareth R Barnes

Abstract read
In one paragraph

Article in Frontiers in medical technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

9 authors.

Meaghan E SpeddenDepartment of Imaging Neuroscience, Institute of Neurology, University College London, London, United Kingdom.
George C O'NeillDepartment of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom.
Tim M TierneyDepartment of Imaging Neuroscience, Institute of Neurology, University College London, London, United Kingdom.
Timothy O WestDepartment of Imaging Neuroscience, Institute of Neurology, University College London, London, United Kingdom.
Maike SchmidtDepartment of Imaging Neuroscience, Institute of Neurology, University College London, London, United Kingdom.
Stephanie MellorDepartment of Imaging Neuroscience, Institute of Neurology, University College London, London, United Kingdom.
Simon F FarmerDepartment for Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
Sven BestmannDepartment of Imaging Neuroscience, Institute of Neurology, University College London, London, United Kingdom.
Gareth R BarnesDepartment of Imaging Neuroscience, Institute of Neurology, University College London, London, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Non-invasive imaging of the human spinal cord is a vital tool for understanding the mechanisms underlying its functions in both healthy and pathological conditions. However, non-invasive imaging presents a significant methodological challenge because the spinal cord is difficult to access with conventional neurophysiological approaches, due to its proximity to other organs and muscles, as well as the physiological movements caused by respiration, heartbeats, and cerebrospinal fluid (CSF) flow. Here, we discuss the present state and future directions of spinal cord imaging, with a focus on the estimation of current flow through magnetic field measurements. We discuss existing cryogenic (superconducting) and non-cryogenic (optically-pumped magnetometer-based, OPM) systems, and highlight their strengths and limitations for studying human spinal cord function. While significant challenges remain, particularly in source imaging and interference rejection, magnetic field-based neuroimaging offers a novel avenue for advancing research in various areas. These include sensorimotor processing, cortico-spinal interplay, brain and spinal cord plasticity during learning and recovery from injury, and pain perception. Additionally, this technology holds promise for diagnosing and optimizing the treatment of spinal cord disorders.

Indexed as

human spinal cord, sensorimotor controlneuroimaging (functional)optically pumped magnetometer (OPM)superconducting quantum interface devices (SQUIDs)

Identifiers

PMID39445170
PMCPMC11496111

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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.