Evidence map›Paper›PMID 34132441›Full record

ArticleHuman brain mapping2021

Supraspinal nociceptive networks in neuropathic pain after spinal cord injury.

Vincent Huynh, Robin Lütolf, Jan Rosner, Roger Luechinger, Armin Curt, Spyridon Kollias, Michèle Hubli, Lars Michels

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Neural regeneration research · 2024
    Review
  7. Article
  8. Article
  9. Central neuropathic pain.Nature reviews. Disease primers · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. A shift of brain network hub after spinal cord injury.Frontiers in molecular neuroscience · 2023
    Article
  17. Article
  18. Article
  19. Article
  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

8 authors at 3 institutions in 1 country.

Vincent HuynhDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich & University of Zurich, Zurich, Switzerland.ORCID 0000-0002-6554-1735
Robin LütolfSpinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Jan RosnerSpinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Roger LuechingerInstitute for Biomedical Engineering, University and ETH Zürich, Zürich, Switzerland.
Armin CurtSpinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Spyridon KolliasDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich & University of Zurich, Zurich, Switzerland.
Michèle HubliSpinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Lars MichelsDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich & University of Zurich, Zurich, Switzerland.ORCID 0000-0003-3750-1100
University of Zurich · CHETH Zurich · CHUniversity of Bern · CH

Funding

Swiss National Science Foundation 320030_169250
6 · The paper itself

Abstract

Neuropathic pain following spinal cord injury involves plastic changes along the whole neuroaxis. Current neuroimaging studies have identified grey matter volume (GMV) and resting-state functional connectivity changes of pain processing regions related to neuropathic pain intensity in spinal cord injury subjects. However, the relationship between the underlying neural processes and pain extent, a complementary characteristic of neuropathic pain, is unknown. We therefore aimed to reveal the neural markers of widespread neuropathic pain in spinal cord injury subjects and hypothesized that those with greater pain extent will show higher GMV and stronger connectivity within pain related regions. Thus, 29 chronic paraplegic subjects and 25 healthy controls underwent clinical and electrophysiological examinations combined with neuroimaging. Paraplegics were demarcated based on neuropathic pain and were thoroughly matched demographically. Our findings indicate that (a) spinal cord injury subjects with neuropathic pain display stronger connectivity between prefrontal cortices and regions involved with sensory integration and multimodal processing, (b) greater neuropathic pain extent, is associated with stronger connectivity between the posterior insular cortex and thalamic sub-regions which partake in the lateral pain system and (c) greater intensity of neuropathic pain is related to stronger connectivity of regions involved with multimodal integration and the affective-motivational component of pain. Overall, this study provides neuroimaging evidence that the pain phenotype of spinal cord injury subjects is related to the underlying function of their resting brain.

Indexed as

ConnectomeAdultAgedCerebral CortexChronic DiseaseEvoked PotentialsFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeuralgiaNociceptionParaplegiaSpinal Cord Injuriescontact heat evoked potentialsneuropathic painpain extentquantitative sensory testingresting-state functional connectivityspinal cord injuryvoxel-based morphometry

Identifiers

PMID34132441
PMCPMC8288099
OpenAlexW3169370047

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.