Evidence map›Paper›PMID 39581995›Full record

ArticleThe journal of headache and pain2024

Disrupted topologic efficiency of white matter structural connectome in migraine: a graph-based connectomics study.

Yanliang Mei, Dong Qiu, Zhonghua Xiong, Xiaoshuang Li, Peng Zhang, Mantian Zhang, Xue Zhang, Yaqing Zhang, Xueying Yu, Zhaoli Ge and 4 more

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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

14 authors.

Yanliang Mei *Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0003-3244-6552
Dong Qiu *Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-7484-2572
Zhonghua XiongHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaoshuang LiHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Peng ZhangHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Mantian ZhangHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xue ZhangTiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing, China.
Yaqing ZhangHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xueying YuHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhaoli GeDepartment of Neurology, Shenzhen Second People's Hospital, Shenzhen, Guangdong, 518000, China.
Zhe WangDepartment of Neurology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Binbin SuiTiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing, China. reneesui@163.com.
Yonggang WangHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. w100yg@gmail.com.
Hefei TangHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. 13466537763@139.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo delineate the structural connectome alterations in patients with chronic migraine (CM), episodic migraine (EM), and healthy controls (HCs).

backgroundThe pathogenesis of migraine chronification remains elusive, with structural brain network changes potentially playing a key role. However, there is a paucity of research employing graph theory analysis to explore changes in the whole brain structural networks in patients with CM and EM.

methodsThe individual structural brain connectome of 60 patients with CM, 34 patients with EM, and 39 healthy control participants were constructed by using deterministic diffusion-tensor tractography. Graph metrics including global efficiency, characteristic path length, local efficiency, clustering coefficient, and small-world parameters were evaluated to describe the topologic organization of the white matter structural networks. Additionally, nodal clustering coefficient and efficiency were considered to assess the regional characteristics of the brain connectome. A graph-based statistic was used to assess brain network properties across the groups.

resultsGraph theory analysis revealed significant disruptions in the structural brain networks of CM patients, characterized by reduced global efficiency, local efficiency, and increased characteristic path length compared to HCs. Additionally, CM patients exhibited significantly lower local efficiency than EM patients. Notably, the CM group demonstrated marked reductions in local clustering coefficient and nodal local efficiency in the frontal and temporal regions compared with the healthy control group and EM group. Nodal local efficiency can effectively distinguish CM from EM and HCs. Moreover, the disrupted topologic efficiency was significantly associated with attack frequency and MIDAS score in patients with migraine after Bonferroni correction.

conclusionDecreased structural connectivity in the frontal and temporal regions may serve as a neuroimaging marker for migraine chronification and disease progression, providing valuable insights into the pathophysiology of chronic migraine.

Indexed as

ConnectomeDiffusion Tensor ImagingMigraine DisordersWhite MatterAdultBrainFemaleHumansMaleMiddle AgedNerve NetYoung AdultDiffusion tensor imagingMigraineStructural connectivity

Identifiers

PMID39581995
PMCPMC11587760

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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.