Evidence map›Paper›PMID 26505923›Full record

ArticleRadiology2016

Intrinsic Resting-State Functional Connectivity in the Human Spinal Cord at 3.0 T.

Oscar San Emeterio Nateras, Fang Yu, Eric R Muir, Carlos Bazan, Crystal G Franklin, Wei Li, Jinqi Li, Jack L Lancaster, Timothy Q Duong

Open access · greenAbstract read
In one paragraph

Article in Radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 41 citations in OpenAlex.

  1. Brain Network Signature of Autoscopic Phenomena in Humans.CNS neuroscience & therapeutics · 2025
    Article
  2. Article
  3. 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
  4. Article
  5. Article
  6. Spinal Cord fMRI: A New Window into the Central Nervous System.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2023
    Review
  7. Article
  8. Review
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  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Spinal cord MRI at 7T.NeuroImage · 2018
    Review
  20. Article
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 at 1 institution in 1 country.

Oscar San Emeterio NaterasFrom the Research Imaging Institute (O.S.E.N., E.R.M., C.G.F., W.L., J.L., J.L.L., T.Q.D.), Department of Radiology (O.S.E.N., C.B., J.L., J.L.L., T.Q.D.), and Department of Ophthalmology (E.R.M., W.L., T.Q.D.), University of Texas Health Science Center, 8403 Floyd Curl Dr, San Antonio, TX 78229; and Graduate School in Biomedical Engineering, University of Texas, San Antonio, Tex (O.S.E.N., T.Q.D.).
Fang YuFrom the Research Imaging Institute (O.S.E.N., E.R.M., C.G.F., W.L., J.L., J.L.L., T.Q.D.), Department of Radiology (O.S.E.N., C.B., J.L., J.L.L., T.Q.D.), and Department of Ophthalmology (E.R.M., W.L., T.Q.D.), University of Texas Health Science Center, 8403 Floyd Curl Dr, San Antonio, TX 78229; and Graduate School in Biomedical Engineering, University of Texas, San Antonio, Tex (O.S.E.N., T.Q.D.).
Eric R MuirFrom the Research Imaging Institute (O.S.E.N., E.R.M., C.G.F., W.L., J.L., J.L.L., T.Q.D.), Department of Radiology (O.S.E.N., C.B., J.L., J.L.L., T.Q.D.), and Department of Ophthalmology (E.R.M., W.L., T.Q.D.), University of Texas Health Science Center, 8403 Floyd Curl Dr, San Antonio, TX 78229; and Graduate School in Biomedical Engineering, University of Texas, San Antonio, Tex (O.S.E.N., T.Q.D.).
Carlos BazanFrom the Research Imaging Institute (O.S.E.N., E.R.M., C.G.F., W.L., J.L., J.L.L., T.Q.D.), Department of Radiology (O.S.E.N., C.B., J.L., J.L.L., T.Q.D.), and Department of Ophthalmology (E.R.M., W.L., T.Q.D.), University of Texas Health Science Center, 8403 Floyd Curl Dr, San Antonio, TX 78229; and Graduate School in Biomedical Engineering, University of Texas, San Antonio, Tex (O.S.E.N., T.Q.D.).
Crystal G FranklinFrom the Research Imaging Institute (O.S.E.N., E.R.M., C.G.F., W.L., J.L., J.L.L., T.Q.D.), Department of Radiology (O.S.E.N., C.B., J.L., J.L.L., T.Q.D.), and Department of Ophthalmology (E.R.M., W.L., T.Q.D.), University of Texas Health Science Center, 8403 Floyd Curl Dr, San Antonio, TX 78229; and Graduate School in Biomedical Engineering, University of Texas, San Antonio, Tex (O.S.E.N., T.Q.D.).
Wei LiFrom the Research Imaging Institute (O.S.E.N., E.R.M., C.G.F., W.L., J.L., J.L.L., T.Q.D.), Department of Radiology (O.S.E.N., C.B., J.L., J.L.L., T.Q.D.), and Department of Ophthalmology (E.R.M., W.L., T.Q.D.), University of Texas Health Science Center, 8403 Floyd Curl Dr, San Antonio, TX 78229; and Graduate School in Biomedical Engineering, University of Texas, San Antonio, Tex (O.S.E.N., T.Q.D.).
Jinqi LiFrom the Research Imaging Institute (O.S.E.N., E.R.M., C.G.F., W.L., J.L., J.L.L., T.Q.D.), Department of Radiology (O.S.E.N., C.B., J.L., J.L.L., T.Q.D.), and Department of Ophthalmology (E.R.M., W.L., T.Q.D.), University of Texas Health Science Center, 8403 Floyd Curl Dr, San Antonio, TX 78229; and Graduate School in Biomedical Engineering, University of Texas, San Antonio, Tex (O.S.E.N., T.Q.D.).
Jack L LancasterFrom the Research Imaging Institute (O.S.E.N., E.R.M., C.G.F., W.L., J.L., J.L.L., T.Q.D.), Department of Radiology (O.S.E.N., C.B., J.L., J.L.L., T.Q.D.), and Department of Ophthalmology (E.R.M., W.L., T.Q.D.), University of Texas Health Science Center, 8403 Floyd Curl Dr, San Antonio, TX 78229; and Graduate School in Biomedical Engineering, University of Texas, San Antonio, Tex (O.S.E.N., T.Q.D.).
Timothy Q DuongFrom the Research Imaging Institute (O.S.E.N., E.R.M., C.G.F., W.L., J.L., J.L.L., T.Q.D.), Department of Radiology (O.S.E.N., C.B., J.L., J.L.L., T.Q.D.), and Department of Ophthalmology (E.R.M., W.L., T.Q.D.), University of Texas Health Science Center, 8403 Floyd Curl Dr, San Antonio, TX 78229; and Graduate School in Biomedical Engineering, University of Texas, San Antonio, Tex (O.S.E.N., T.Q.D.).
The University of Texas Health Science Center at San Antonio · US

Funding

UTSA RISE Research Training ProgramR25GM060655 · NIGMS · UNIVERSITY OF TEXAS SAN ANTONIO · PI BAREA-RODRIGUEZ, EDWIN J · 2000 to 2022
$21.6M
NIGMS NIH HHS GM060655NIGMS NIH HHS R25 GM060655
6 · The paper itself

Abstract

purposeTo apply resting-state functional magnetic resonance (MR) imaging to map functional connectivity of the human spinal cord. MATERIALS AND

methodsStudies were performed in nine self-declared healthy volunteers with informed consent and institutional review board approval. Resting-state functional MR imaging was performed to map functional connectivity of the human cervical spinal cord from C1 to C4 at 1 × 1 × 3-mm resolution with a 3.0-T clinical MR imaging unit. Independent component analysis (ICA) was performed to derive resting-state functional MR imaging z-score maps rendered on two-dimensional and three-dimensional images. Seed-based analysis was performed for cross validation with ICA networks by using Pearson correlation.

resultsReproducibility analysis of resting-state functional MR imaging maps from four repeated trials in a single participant yielded a mean z score of 6 ± 1 (P < .0001). The centroid coordinates across the four trials deviated by 2 in-plane voxels ± 2 mm (standard deviation) and up to one adjacent image section ± 3 mm. ICA of group resting-state functional MR imaging data revealed prominent functional connectivity patterns within the spinal cord gray matter. There were statistically significant (z score > 3, P < .001) bilateral, unilateral, and intersegmental correlations in the ventral horns, dorsal horns, and central spinal cord gray matter. Three-dimensional surface rendering provided visualization of these components along the length of the spinal cord. Seed-based analysis showed that many ICA components exhibited strong and significant (P < .05) correlations, corroborating the ICA results. Resting-state functional MR imaging connectivity networks are qualitatively consistent with known neuroanatomic and functional structures in the spinal cord.

conclusionResting-state functional MR imaging of the human cervical spinal cord with a 3.0-T clinical MR imaging unit and standard MR imaging protocols and hardware reveals prominent functional connectivity patterns within the spinal cord gray matter, consistent with known functional and anatomic layouts of the spinal cord.

Indexed as

AdultFemaleHealthy VolunteersHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleSpinal Cord

Identifiers

PMID26505923
PMCPMC5425154
OpenAlexW1876340522

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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.