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Updated: Jan 30, 2026

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3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
Published on: June 2, 2014
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Alterations of structural connectivity in episodic cluster headache: A graph theoretical analysis
1Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Summary
Structural brain imaging reveals significant differences in patients with cluster headache (CH). Key brain regions show altered volumes and connectivity, suggesting CH is a network disorder.
Area of Science:
- Neuroimaging
- Neurology
- Graph Theory
Background:
- Cluster headache (CH) is a debilitating neurological disorder.
- Previous research suggests potential brain structural abnormalities in CH.
- Understanding these alterations is crucial for identifying disease mechanisms.
Purpose of the Study:
- To evaluate structural brain volumes and connectivity using graph theoretical analysis in episodic cluster headache patients.
- To compare these metrics between CH patients and healthy controls.
Main Methods:
- Recruited 10 episodic cluster headache patients and 20 healthy controls.
- Acquired 3-D volumetric T1-weighted MRI scans for all participants.
- Analyzed structural volumes using FreeSurfer and performed connectivity analysis using BRAPH.
Main Results:
- Patients with cluster headache exhibited decreased volumes in the left caudal anterior cingulate and postcentral gyrus.
- Significant hub re-organization was observed in local structural connectivity, with decreased strength and centrality in several brain regions.
- Global structural connectivity measures did not differ between groups.
Conclusions:
- Structural volumes and local connectivity are significantly altered in cluster headache patients compared to healthy individuals.
- Hub re-organization in specific brain regions suggests a network-based pathology for cluster headache.
- These findings implicate network alterations in the pathogenesis of cluster headache, supporting its classification as a network disease.
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