ArticleThe journal of headache and pain2021
Structural brain network characteristics in patients with episodic and chronic migraine.
Article in The journal of headache and pain, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Network localization of regional intrinsic neural activity alterations in migraine and their neurochemical correlates.Frontiers in neurology · 2026Pooled it
- Integrated anatomical and functional connectivity mapping in episodic migraine: a spectral graph theory approach.Scientific reports · 2026Article
- Current Trends in Management of Migraine: A Review of Current Practice and Recent Advances.CNS & neurological disorders drug targets · 2026Review
- Increased integration and synergy in EEG- and fNIRS-based data in migraine patients after a three-month treatment with galcanezumab: relations with long-term clinical outcome.Scientific reports · 2025Article
- Topological properties of brain networks in patients with hemiplegic shoulder pain: a functional magnetic resonance imaging study.BMC neurology · 2025Article
- Differential resting-state MEG microstate patterns in migraineurs: a cross-sectional study.The journal of headache and pain · 2025Article
- Disruption of functional and structural topological organization in specific subnetwork among patients with classical trigeminal neuralgia: a graph theory-based magnetic resonance imaging study.Brain imaging and behavior · 2025Article
- Characterizing the Morphological Brain Network Topology in Patients With Migraine Using Wavelet Based Morphometry: A Descriptive Cross-Sectional Retrospective Study.Health science reports · 2025Article
- Disrupted topologic efficiency of white matter structural connectome in migraine: a graph-based connectomics study.The journal of headache and pain · 2024Article
- Involvement of the cerebellum in structural connectivity enhancement in episodic migraine.The journal of headache and pain · 2024Article
- Brain connectome-based imaging markers for identifiable signature of migraine with and without aura.Quantitative imaging in medicine and surgery · 2024Article
- Multilayer network changes in patients with migraine.Brain and behavior · 2023Article
- Increased hippocampal efficiency is associated with greater headache frequency in adolescents with chronic headache.Cerebral cortex communications · 2023Article
- Preventive treatment can reverse cognitive impairment in chronic migraine.The journal of headache and pain · 2022Article
- A Novel Quantitative Arousal-Associated EEG-Metric to Predict Severity of Respiratory Distress in Obstructive Sleep Apnea Patients.Frontiers in physiology · 2022Article
- Structural brain network topological alterations in stuttering adults.Brain communications · 2022Article
- Altered brain functional network dynamics in classic trigeminal neuralgia: a resting-state functional magnetic resonance imaging study.The journal of headache and pain · 2021Article
- Neurobiology of migraine progression.Neurobiology of pain (Cambridge, Mass.)Review
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMigraine is a primary headache disorder that can be classified into an episodic (EM) and a chronic form (CM). Network analysis within the graph-theoretical framework based on connectivity patterns provides an approach to observe large-scale structural integrity. We test the hypothesis that migraineurs are characterized by a segregated network.
methods19 healthy controls (HC), 17 EM patients and 12 CM patients were included. Cortical thickness and subcortical volumes were computed, and topology was analyzed using a graph theory analytical framework and network-based statistics. We further used support vector machines regression (SVR) to identify whether these network measures were able to predict clinical parameters.
resultsNetwork based statistics revealed significantly lower interregional connectivity strength between anatomical compartments including the fronto-temporal, parietal and visual areas in EM and CM when compared to HC. Higher assortativity was seen in both patients' group, with higher modularity for CM and higher transitivity for EM compared to HC. For subcortical networks, higher assortativity and transitivity were observed for both patients' group with higher modularity for CM. SVR revealed that network measures could robustly predict clinical parameters for migraineurs.
conclusionWe found global network disruption for EM and CM indicated by highly segregated network in migraine patients compared to HC. Higher modularity but lower clustering coefficient in CM is suggestive of more segregation in this group compared to EM. The presence of a segregated network could be a sign of maladaptive reorganization of headache related brain circuits, leading to migraine attacks or secondary alterations to pain.
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