Modular organization of brain resting state networks in patients with classical trigeminal neuralgia

• Published in: NeuroImage clinical Vol. 24; p. 102027
• Main Authors: Tsai, Yuan-Hsiung, Liang, Xia, Yang, Jen-Tsung, Hsu, Li-Ming
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.01.2019; Elsevier
• Subjects: Adult; Aged; Brain - diagnostic imaging; Facial Pain - etiology; Facial Pain - surgery; Female; Functional MRI; Humans; Magnetic Resonance Imaging; Male; Middle Aged; Modular organization; Nerve Net - diagnostic imaging; Neural Pathways - diagnostic imaging; Neurosurgical Procedures; Pain chronification; Prospective Studies; Radiofrequency rhizotomy; Radiology; Radiosurgery - methods; Regular; Rest; Rhizotomy; Treatment Outcome; Trigeminal neuralgia; Trigeminal Neuralgia - diagnostic imaging; Trigeminal Neuralgia - surgery; Functional MRI; Modular organization; Trigeminal neuralgia; Radiofrequency rhizotomy; Pain chronification
• ISSN: 2213-1582; 2213-1582
• DOI: 10.1016/j.nicl.2019.102027

•Sensorimotor network and default mode network activities were lower in trigeminal neuralgia patients and increased after surgery.•Higher communication between the default mode network module and other modules before surgery was associated with better treatment response.•Subcortical modules was associated with pain duration.•A lower connection between the default mode network and subcortical modules was associated with a better treatment response and the thalamus and midcingulate cortex were the major connectors within the subcortical module. The 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. A 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. Whole 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. These 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.