Evidence map›Paper›PMID 26924285›Full record

ArticleNeuroImage2016

Reproducibility of resting state spinal cord networks in healthy volunteers at 7 Tesla.

Robert L Barry, Baxter P Rogers, Benjamin N Conrad, Seth A Smith, John C Gore

Abstract read
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  8. Spine-Prints: Transposing Brain Fingerprints to the Spinal Cord.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Characteristic BOLD signals are detectable in white matter of the spinal cord at rest and after a stimulus.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

5 authors.

Robert L BarryVanderbilt University Institute of Imaging Science, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: robert.barry@vanderbilt.edu.
Baxter P RogersVanderbilt University Institute of Imaging Science, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Benjamin N ConradVanderbilt University Institute of Imaging Science, Nashville, TN, USA.
Seth A SmithVanderbilt University Institute of Imaging Science, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
John C GoreVanderbilt University Institute of Imaging Science, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)KL2TR000446 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$2.8M
Institutional Predoctoral Training Program in Biomedical Imaging ScienceT32EB014841 · NIBIB · VANDERBILT UNIVERSITY · PI GORE, JOHN C · 2013 to 2017
$771k
Functional Imaging and resting state connectivity in human spinal cord at 7 TeslaR00EB016689 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BARRY, ROBERT L · 2016 to 2018
$747k
Investigation of Resting State Functional Connectivity in the Human Spinal CordR21NS081437 · NINDS · VANDERBILT UNIVERSITY · PI GORE, JOHN C · 2013 to 2014
$427k
Functional Imaging and Resting State Connectivity in Human Spinal Cord at 7 TeslaK99EB016689 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BARRY, ROBERT L · 2014 to 2015
$178k
NCATS NIH HHS KL2 TR000446NCATS NIH HHS UL1 TR000445NCRR NIH HHS UL1 RR024975NIBIB NIH HHS K99 EB016689NIBIB NIH HHS R00 EB016689NIBIB NIH HHS T32 EB014841NICHD NIH HHS U54 HD083211NINDS NIH HHS R21 NS081437
6 · The paper itself

Abstract

We recently reported our findings of resting state functional connectivity in the human spinal cord: in a cohort of healthy volunteers we observed robust functional connectivity between left and right ventral (motor) horns and between left and right dorsal (sensory) horns (Barry et al., 2014). Building upon these results, we now quantify the within-subject reproducibility of bilateral motor and sensory networks (intraclass correlation coefficient=0.54-0.56) and explore the impact of including frequencies up to 0.13Hz. Our results suggest that frequencies above 0.08Hz may enhance the detectability of these resting state networks, which would be beneficial for practical studies of spinal cord functional connectivity.

Indexed as

Models, NeurologicalAdolescentAdultBrain MappingComputer SimulationFemaleHumansMagnetic Resonance ImagingMaleNerve NetReference ValuesReproducibility of ResultsRestSensitivity and SpecificitySpinal CordYoung Adult

Identifiers

PMID26924285
PMCPMC4889527

What OpenQuestion holds

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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.