Evidence map›Paper›PMID 40994293›Full record

ArticleEuropean journal of pain (London, England)2025

Altered Topology of Brain Structural Network in Patients With Migraine Without Aura: A Structural MRI Study.

Zi-Min Cao, Jing-Nan Jia, Guo-Yun Liu, Ze-Qiu Yang, Jing-Shi Zhang, An-Qi Shi, Yi-Chao Chen, Jian-Wei Huo, Ya-Nan Zhang, Ni Liu and 2 more

Abstract read
In one paragraph

Article in European journal of pain (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Zi-Min CaoDepartment of Acupuncture and Moxibustion, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0009-0008-5893-0223
Jing-Nan JiaDepartment of Encephalopathy, Second Affiliated Hospital, Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Guo-Yun LiuDepartment of Acupuncture and Moxibustion, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, China.
Ze-Qiu YangDepartment of Acupuncture and Moxibustion, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, China.
Jing-Shi ZhangDepartment of Acupuncture and Moxibustion, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, China.
An-Qi ShiDepartment of Acupuncture and Moxibustion, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, China.
Yi-Chao ChenDepartment of Acupuncture and Massage, Shanghai General Hospital, Shanghai, China.
Jian-Wei HuoDepartment of Radiology, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China.
Ya-Nan ZhangDepartment of Radiology, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China.
Ni LiuDepartment of Radiology, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China.
Chao-Qun YanDepartment of Acupuncture and Moxibustion, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, China.
Jun WangDepartment of Acupuncture and Moxibustion, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMigraine is a neurovascular disease associated with significant morbidity and disability, but its underlying pathophysiology remains elusive. Functional alterations within the brain are frequently observed in individuals with migraine, whereas structural changes are less frequently documented. This study was primarily designed to investigate topological abnormalities in brain structural networks in patients with migraine using structural magnetic resonance imaging.

methodsGraph theoretical analysis was used to compare global and regional topological properties of grey matter structural networks in 37 migraine patients and 44 age-, gender-, and education-matched healthy controls. Structural correlation networks were constructed for both groups on the basis of measurements of grey matter volume.

resultsA statistically significant difference was observed in the scores of Self-rating Anxiety Scales (SAS) and Self-rating Depression Scales (SDS) between migraine patients and healthy controls. The brain networks of patients exhibited significantly increased path length, decreased clustering coefficient, and small-worldness at the global level. At the regional level, brain regions with changes in node degree/betweenness centrality in migraine patients were predominantly located in the left cuneus, the left fusiform gyrus, the left precuneus, the right precentral gyrus, the right middle frontal gyrus, and the bilateral lingual gyrus.

conclusionThe findings of this research indicate that the topological organisation is less efficient in individuals who experience migraine. This may provide new insight into the pathogenesis of migraine from a structural perspective.

trial registrationChinese Clinical Trial Registry, ChiCTR2000033995 SIGNIFICANCE: The present study addresses the central pathogenesis of migraine and shows at a structural level that global brain properties are altered in migraine patients and that regional properties of specific brain regions also show abnormalities. This provides new ideas and an objective basis for the future diagnosis and treatment of migraine.

Indexed as

BrainGray MatterMigraine without AuraNerve NetAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung Adultgraph theoretical analysisgrey mattermigrainestructural MRI

Identifiers

PMID40994293
PMCPMC12461235

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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.