Evidence map›Paper›PMID 28652806›Full record

ArticleJournal of pain research2017

Characterization of cortical source generators based on electroencephalography during tonic pain.

Tine Maria Hansen, Esben Bolvig Mark, Søren Schou Olesen, Mikkel Gram, Jens Brøndum Frøkjær, Asbjørn Mohr Drewes

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In one paragraph

Article in Journal of pain research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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  6. Review
  7. Neuroimaging Assessment of Pain.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
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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

6 authors.

Tine Maria HansenMech-Sense, Department of Radiology, Aalborg University Hospital.
Esben Bolvig MarkMech-Sense, Department of Radiology, Aalborg University Hospital.
Søren Schou OlesenDepartment of Clinical Medicine, Aalborg University.
Mikkel GramMech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark.
Jens Brøndum FrøkjærMech-Sense, Department of Radiology, Aalborg University Hospital.
Asbjørn Mohr DrewesDepartment of Clinical Medicine, Aalborg University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the present study was to characterize the cortical source generators evoked by experimental tonic pain.

methodsElectroencephalography (EEG) was recorded on two separate days during rest and with immersion of the hand in ice water for 2 minutes (cold pressor test). Exact low-resolution brain electromagnetic tomography source localization was performed in 31 healthy volunteers to characterize the cortical source generators.

resultsReliability was high in all eight frequency bands during rest and cold pressor conditions (intraclass coefficients =0.47-0.83 in the cingulate and insula). Tonic pain increased cortical activities in the delta (1-4 Hz), theta (4-8 Hz), beta1 (12-18 Hz), beta2 (18-24 Hz), beta3 (24-32 Hz), and gamma (32-60 Hz) bands (all

conclusionSource localization of EEG is a reliable method to estimate cortical source generators. Activities in different brain regions, mainly in the limbic system, showed fluctuations in various frequency bands. Cingulate changes were correlated with pain intensity. SIGNIFICANCE: This method might add information to the objective assessment of the cortical pain response in future experimental pain studies.

Indexed as

cingulate cortexEEGeLORETAsource localizationtonic pain

Identifiers

PMID28652806
PMCPMC5476635

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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.