ArticleThe journal of headache and pain2023
Mapping brain functional networks topological characteristics in new daily persistent headache: a magnetoencephalography study.
Article in The journal of headache and pain, 2023. 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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Brain network properties in chronic pain-a systematic review and meta-analysis of graph-based connectivity metrics.Frontiers in neuroscience · 2025Pooled it
- A foundation-model approach to pediatric headache classification from resting-state fMRI.ArXiv · 2026Article
- Pediatric New Daily Persistent Headache: Integrating Novel Research Methods to Support and Delineate Evolving Clinical Phenotypes.Children (Basel, Switzerland) · 2026Article
- A foundation-model approach to pediatric headache classification from resting-state fMRI.Proceedings of machine learning research · 2026Article
- Hallmarks of primary headache: part 4 - rare headache syndromes.The journal of headache and pain · 2025Review
- Abnormal Alterations of the White Matter Structural Network in Patients with Herpes Zoster and Postherpetic Neuralgia.Brain topography · 2025Article
- The Global Burden of Migraine: A 30-Year Trend Review and Future Projections by Age, Sex, Country, and Region.Pain and therapy · 2025Article
- The Global Burden of Migraine: A 30-Year Trend Review and Future Projections by Age, Sex, Country, and Region.Pain and therapy · 2025Article
- Repetitive transcranial magnetic stimulation in new daily persistent headache patients: a single arm open label study.The journal of headache and pain · 2024Article
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe brain functional network topology in new daily persistent headache (NDPH) is not well understood. In this study, we aim to assess the cortical functional network topological characteristics of NDPH using non-invasive neural signal recordings.
methodsResting-state magnetoencephalography (MEG) was used to measure power fluctuations in neuronal oscillations from distributed cortical parcels in 35 patients with NDPH and 40 healthy controls (HCs). Their structural data were collected by 3T MRI. Functional connectivity (FC) of neural networks from 1 to 80 Hz frequency ranges was analyzed with topographic patterns and calculated network topological parameters with graph theory.
resultsIn the delta (1-4 Hz) and beta (13-30 Hz) bands, the lateral occipital cortex and superior frontal gyrus FC were increased in NDPH groups compared to HCs. Graph theory analysis revealed that the NDPH had significantly increased global efficiency in the delta band and decreased nodal clustering coefficient (left medial orbitofrontal cortex) in the theta (4-8 Hz) band. The clinical characteristics had a significant correlation with network topological parameters. Age at onset of patients showed a positive correlation with global efficiency in the delta band. The degree of depression of patients showed a negative correlation with the nodal clustering coefficient (left medial orbitofrontal cortex) in the theta band.
conclusionThe FC and topology of NDPH in brain networks may be altered, potentially leading to cortical hyperexcitability. Moreover, medial orbitofrontal cortex is involved in the pathophysiological mechanism of depression in patients with NDPH. Increased FC observed in the lateral occipital cortex and superior frontal gyrus during resting-state MEG could serve as one of the imaging characteristics associated with NDPH.
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