ArticleNeurobiology of pain (Cambridge, Mass.)
Investigation on how dynamic effective connectivity patterns encode the fluctuating pain intensity in chronic migraine.
Article in Neurobiology of pain (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 5 citations in OpenAlex.
- An exploratory study of headache pain intensity using facial expressions and APEX frames.NPJ digital medicine · 2026Article
- Aberrant static and dynamic functional connectivity of auditory processing in migraine: A millisecond-scale magnetoencephalography study.Journal of biomedical research · 2025Article
- Modulating nociception networks: the impact of low-intensity focused ultrasound on thalamocortical connectivity.Brain communications · 2025Article
- Decoding pain through facial expressions: a study of patients with migraine.The journal of headache and pain · 2024Article
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic migraine is characterised by persistent headaches for >15 days per month; the intensity of the pain is fluctuating over time. Here, we explored the dynamic interplay of connectivity patterns between regions known to be related to pain processing and their relation to the ongoing dynamic pain experience. We recorded EEG from 80 sessions (20 chronic migraine patients in 4 separate sessions of 25 min). The patients were asked to continuously rate the intensity of their endogenous headache. On different time-windows, a dynamic causal model (DCM) of cross spectral responses was inverted to estimate connectivity strengths. For each patient and session, the evolving dynamics of effective connectivity were related to pain intensities and to pain intensity changes by using a Bayesian linear model. Hierarchical Bayesian modelling was further used to examine which connectivity-pain relations are consistent across sessions and across patients. The results reflect the multi-facetted clinical picture of the disease. Across all sessions, each patient with chronic migraine exhibited a distinct pattern of pain intensity-related cortical connectivity. The diversity of the individual findings are accompanied by inconsistent relations between the connectivity parameters and pain intensity or pain intensity changes at group level. This suggests a rejection of the idea of a common neuronal core problem for chronic migraine.
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