ArticleThe journal of headache and pain2025
Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fingerprinting framework.
Article in The journal of headache and pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Salience Network Dynamics Across Spontaneous Attacks, Interictal Rest and Interictal Pain Imagery in Menstrually Related Migraine.Brain topography · 2026Article
- Developmental Brain Network Trajectories Differentiate Resilience and Vulnerability to Psychosis in 22q11.2 Deletion Syndrome.Biological psychiatry global open science · 2026Article
- Integrated anatomical and functional connectivity mapping in episodic migraine: a spectral graph theory approach.Scientific reports · 2026Article
- Subtype-specific enhancement of implicit statistical learning in migraine: insights from BOLD signal variability.The journal of headache and pain · 2026Article
- Using ECG-derived respiration for explaining BOLD-fMRI fluctuations during rest and respiratory modulations.Scientific reports · 2025Article
- Cortical network dysfunction in migraine: linking genes, metabolism and clinical disability.The journal of headache and pain · 2025Article
- Reduced brain entropy in migraine with partial restoration during attacks: A resting-state fMRI study.medRxiv : the preprint server for health sciences · 2025Article
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Authors and funding
11 authors.
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Abstract
backgroundChanges in large-scale brain networks have been reported in migraine patients, but it remains unclear how these manifest in the various phases of the migraine cycle. Case-control fMRI studies spanning the entire migraine cycle are lacking, precluding a complete assessment of brain functional connectivity in migraine. Such studies are essential for understanding the inherent changes in the brain of migraine patients as well as transient changes along the cycle. Here, we leverage the concept of functional connectome (FC) fingerprinting, whereby individual subjects may be identified based on their FC, to investigate changes in FC and its stability across different phases of the migraine cycle.
methodsWe employ a case-control longitudinal design to study a group of 10 patients with episodic menstrual or menstrual-related migraine without aura, in the 4 phases of their spontaneous migraine cycle (preictal, ictal, postictal, interictal), and a group of 14 healthy controls in corresponding phases of the menstrual cycle, using resting-state functional magnetic resonance imaging (fMRI). We propose a novel multilevel clinical connectome fingerprinting approach to analyse the FC identifiability not only within-subject, but also within-session and within-group.
resultsThis approach allowed us to obtain individual FC fingerprints by reconstructing the data using the first 19 principal components to maximize identifiability at all levels. We found decreased FC identifiability for patients in the preictal phase relative to controls, which increased with the progression of the attack and became comparable to controls in the interictal phase. Using Network-Based Statistic analysis, we found increased FC strength across several brain networks for patients in the ictal and postictal phases relative to controls.
conclusionOur novel multilevel clinical connectome fingerprinting approach captured FC variations along the migraine cycle in a case-control longitudinal study, bringing new insights into the cyclic nature of the disorder.
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