Evidence map›Paper›PMID 35303287›Full record

ArticleActa neurologica Belgica2023

Structural integrity of corpus callosum in patients with migraine: a diffusion tensor imaging study.

Aygul Tantik Pak, Sebahat Nacar Dogan, Yildizhan Sengul

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Article in Acta neurologica Belgica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Evaluating migraine with typical aura with neuroimaging.Frontiers in human neuroscience · 2023
    Review
  3. Review
  4. Review
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

3 authors.

Aygul Tantik PakDepartment of Neurology, University of Ministry Health, Gaziosmanpasa Training and Research Hospital, Istanbul, Turkey. aa.aygultantik@hotmail.com.ORCID http://orcid.org/0000-0002-7414-3800
Sebahat Nacar DoganDepertmant of Radiology, University of Ministry Health, Gaziosmanpasa Training and Research Hospital, Karayollari, Osmanbey Street 621, 34255, Gaziosmanpasa, Istanbul, Turkey.ORCID http://orcid.org/0000-0003-1512-5060
Yildizhan SengulDepartment of Neurology, University of Ministry Health, Gaziosmanpasa Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-5087-9944

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to compare structural changes of corpus callosum (CC), which is the largest collection of white matter in the brain, among migraineurs and healthy controls (HC). Diffusion tensor imaging (DTI) method which provides information about microscopic organization of the cell, especially white matter was used for this purpose. Fifty-one patients who were diagnosed with migraine and 44 age- and sex-matched HC were included in the study. Socio-demographic and clinical characteristics of the patients were noted. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) measurements of CC genu, splenium, and body were performed for all participants. A significant difference was determined between migraine patients and HC regarding the FA values in the genu of CC (p < 0.001). When the clinical data of migraine patients and FA values in the genu of CC were analyzed via linear regression analysis, no significant finding was detected (p > 0.05). In conclusion, it can be suggested that there are microstructural changes in the CC of migraneurs; however, the clinical variable associated with this structural deterioration could not be determined.

Indexed as

Corpus CallosumDiffusion Tensor ImagingMigraine DisordersAdultAnisotropyCross-Sectional StudiesFemaleHumansLinear ModelsMalePainProspective StudiesApparent diffusion coefficientCorpus callosumDiffusion tensor imagingFractional anisotropyMigraine

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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.