Evidence map›Paper›PMID 39294590›Full record

ArticleThe journal of headache and pain2024

Involvement of the cerebellum in structural connectivity enhancement in episodic migraine.

Ana Matoso, Ana R Fouto, Inês Esteves, Amparo Ruiz-Tagle, Gina Caetano, Nuno A da Silva, Pedro Vilela, Raquel Gil-Gouveia, Rita G Nunes, Patrícia Figueiredo

Abstract read
In one paragraph

Article in The journal of headache and pain, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

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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

10 authors.

Ana MatosoInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal. anamatoso@tecnico.ulisboa.pt.
Ana R FoutoInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Inês EstevesInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Amparo Ruiz-TagleInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Gina CaetanoInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Nuno A da SilvaLearning Health, Hospital da Luz, Lisbon, Portugal.
Pedro VilelaImaging Department, Hospital da Luz, Lisbon, Portugal.
Raquel Gil-GouveiaNeurology Department, Hospital da Luz, Lisbon, Portugal.
Rita G NunesInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Patrícia FigueiredoInstitute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.

Funding

Fundação para a Ciência e a Tecnologia 2023.03810.BDANAFundação para a Ciência e a Tecnologia PTDC/EMD-EMD/29675/2017Fundação para a Ciência e a Tecnologia SFRH/BD/139561/2018LARSyS - FCT 10.54499/LA/P/0083/2020
6 · The paper itself

Abstract

backgroundThe pathophysiology of migraine remains poorly understood, yet a growing number of studies have shown structural connectivity disruptions across large-scale brain networks. Although both structural and functional changes have been found in the cerebellum of migraine patients, the cerebellum has barely been assessed in previous structural connectivity studies of migraine. Our objective is to investigate the structural connectivity of the entire brain, including the cerebellum, in individuals diagnosed with episodic migraine without aura during the interictal phase, compared with healthy controls.

methodsTo that end, 14 migraine patients and 15 healthy controls were recruited (all female), and diffusion-weighted and T1-weighted MRI data were acquired. The structural connectome was estimated for each participant based on two different whole-brain parcellations, including cortical and subcortical regions as well as the cerebellum. The structural connectivity patterns, as well as global and local graph theory metrics, were compared between patients and controls, for each of the two parcellations, using network-based statistics and a generalized linear model (GLM), respectively. We also compared the number of connectome streamlines within specific white matter tracts using a GLM.

resultsWe found increased structural connectivity in migraine patients relative to healthy controls with a distinct involvement of cerebellar regions, using both parcellations. Specifically, the node degree of the posterior lobe of the cerebellum was greater in patients than in controls and patients presented a higher number of streamlines within the anterior limb of the internal capsule. Moreover, the connectomes of patients exhibited greater global efficiency and shorter characteristic path length, which correlated with the age onset of migraine.

conclusionsA distinctive pattern of heightened structural connectivity and enhanced global efficiency in migraine patients compared to controls was identified, which distinctively involves the cerebellum. These findings provide evidence for increased integration within structural brain networks in migraine and underscore the significance of the cerebellum in migraine pathophysiology.

Indexed as

CerebellumConnectomeMagnetic Resonance ImagingMigraine DisordersAdultFemaleHumansMaleMiddle AgedNerve NetNeural PathwaysYoung AdultCerebellumMigraineMRIStructural connectivityTractography

Identifiers

PMID39294590
PMCPMC11409624

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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.