ArticleNeuroImage. Clinical2019
Modular organization of brain resting state networks in patients with classical trigeminal neuralgia.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Neuromodulation of the central nervous system for facial pain.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026Pooled it
- Pooled it
- Neural Mechanisms and Brain Alterations in Orofacial Pain: A Narrative Review of Human Neuroimaging.Diagnostics (Basel, Switzerland) · 2026Review
- Transcriptional correlates of structure-function coupling plasticity in trigeminal neuralgia: unveiling the synaptic and metabolic associations.The journal of headache and pain · 2026Article
- 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
- A study of brain function changes in patients with trigeminal neuralgia of different laterality based on rs-fMRI.Journal of oral & facial pain and headache · 2025Article
- The alteration of the sensorimotor network in trigeminal neuralgia after microvascular decompression surgery: a follow-up study using independent component analysis.Frontiers in physiology · 2025Article
- Exploring potential neuroimaging biomarkers for the response to non-steroidal anti-inflammatory drugs in episodic migraine.The journal of headache and pain · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.bioRxiv : the preprint server for biology · 2024Article
- Graph Metrics Reveal Brain Network Topological Property in Neuropathic Pain Patients: A Systematic Review.Journal of pain research · 2024Review
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.Network neuroscience (Cambridge, Mass.) · 2024Article
- Imaging the neural substrate of trigeminal neuralgia pain using deep learning.Frontiers in human neuroscience · 2023Article
- Amplitude of low-frequency fluctuation after a single-trigger pain in patients with classical trigeminal neuralgia.The journal of headache and pain · 2022Article
- Structural and Functional Brain Changes in Patients With Classic Trigeminal Neuralgia: A Combination of Voxel-Based Morphometry and Resting-State Functional MRI Study.Frontiers in neuroscience · 2022Article
- Radiomics analysis of unaffected side changes in classic trigeminal neuralgia.American journal of translational research · 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
- Altered intra- and inter-network functional activity among migraine, chronic migraine, and trigeminal neuralgia.Molecular painArticle
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Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe modular organization of brain networks in trigeminal neuralgia patients has remained largely unknown. We aimed to analyze the brain modules and intermodule connectivity in patients with trigeminal neuralgia before and after percutaneous radiofrequency rhizotomy treatment to identify specific modules that may be associated with the development and brain plasticity of trigeminal neuralgia and to test the ability of modularity analysis to be a predictive imaging biomarker for the treatment effect in patients with trigeminal neuralgia.
methodsA total of 25 patients with right trigeminal neuralgia and 20 matched healthy subjects were included. Blood-oxygen-level dependent resting state fMRI was used to analyze the brain modular organization.
resultsWhole brain modularity analysis identified seven modules. The metric of intermodule connectivity, participation coefficient, of the sensorimotor network and default mode network modules were significantly lower in patients and increased after surgery. The participation coefficient of the subcortical modules was associated with the pain duration. Higher communication between the default mode network module and other modules before surgery was associated with a better treatment response. Furthermore, the subcortical module was a significant contributor to the participation coefficient relationship of the default mode network module with the treatment response, and the bilateral midcingulate cortex and thalamus were major connectors in the subcortical module.
conclusionsThese findings have important implications regarding the global brain modular responses to chronic neuropathic pain and it may be feasible to use the modularity analysis as part of a risk stratification to predict the treatment response.
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