Evidence map›Paper›PMID 33112461›Full record

ArticleHuman brain mapping2021

Approximation to pain-signaling network in humans by means of migraine.

Jonas Aurel Hosp, Marco Reisert, Charlotte von Kageneck, Michel Rijntjes, Cornelius Weiller

Abstract 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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

5 authors.

Jonas Aurel HospFaculty of Medicine, Department of Neurology and Neuroscience, Medical Center - University of Freiburg, Freiburg, Germany.ORCID 0000-0001-7696-9334
Marco ReisertFaculty of Medicine, Department of Stereotactic and Functional Neurosurgery, University of Freiburg, Freiburg, Germany.ORCID 0000-0003-2742-1940
Charlotte von KageneckFaculty of Medicine, Department of Neurology and Neuroscience, Medical Center - University of Freiburg, Freiburg, Germany.
Michel RijntjesFaculty of Medicine, Department of Neurology and Neuroscience, Medical Center - University of Freiburg, Freiburg, Germany.
Cornelius WeillerFaculty of Medicine, Department of Neurology and Neuroscience, Medical Center - University of Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nociceptive signals are processed within a pain-related network of the brain. Migraine is a rather specific model to gain insight into this system. Brain networks may be described by white matter tracts interconnecting functionally defined gray matter regions. Here, we present an overview of the migraine-related pain network revealed by this strategy. Based on diffusion tensor imaging data from subjects in the Human Connectome Project (HCP) database, we used a global tractography approach to reconstruct white matter tracts connecting brain regions that are known to be involved in migraine-related pain signaling. This network includes an ascending nociceptive pathway, a descending modulatory pathway, a cortical processing system, and a connection between pain-processing and modulatory areas. The insular cortex emerged as the central interface of this network. Direct connections to visual and auditory cortical association fields suggest a potential neural basis of phono- or photophobia and aura phenomena. The intra-axonal volume (V

Indexed as

AdultCerebral CortexDiffusion Tensor ImagingFemaleHumansMaleMigraine DisordersNerve NetPainSupervised Machine LearningYoung Adultglobal tractographyhumansmigrainepain matrix

Identifiers

PMID33112461
PMCPMC7814755

What OpenQuestion holds

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LicenceCC BY
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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.