Cortical Myeloarchitectonic Changes in Patients with Classical Trigeminal Neuralgia
https://doi.org/10.52560/2713-0118-2026-1-43-59
Abstract
Objective. Classic trigeminal neuralgia (TN) is a common chronic pain syndrome whose pathogenesis is not limited to the trigeminal system. Despite significant progress in understanding its mechanisms, data on the role of morphological changes in the cerebral cortex remain limited. In this study, we assessed cortical myeloarchitecture using T1w/T2w mapping, a post-processing method for MRI images. The T1w/T2w ratio is considered a reliable marker of myelin content in the cortex and is currently being explored as a promising clinical biomarker.
Materials and Methods. The study involved 41 patients with unilateral classical TN and 40 healthy volunteers. All participants underwent high-resolution brain MRI with 3D T1-weighted and 3D T2-weighted images. In the first stage, automatic cortex par-cellation was performed using FreeSurfer version 7.4.1 software. T1w/T2w ratio maps were then constructed using the MRTool (SPM12) package. The resulting T1w/T2w ratio maps were coregistered with the cortex parcellation results, after which mean values were extracted for each region according to the Desikan — Killiany atlas. For statistical analysis, analyses of covariance (ANCOVA) were performed, where group membership (patients with TN, healthy volunteers) was considered as an intergroup factor, the T1w/T2w ratio values in different areas of the cerebral cortex were considered as a dependent variable, and the age and gender of the patients were taken into account as covariates.
Results. In the group of patients with trigeminal neuralgia, compared with the group of healthy volunteers, a statistically significant decrease in the mean T1w/T2w ratio was found in the regions of the left hemisphere, including the inferior parietal lobule, isthmus and posterior cingulate gyrus, lateral occipital, parahippocampal, and precen-tral cortex (p < 0.05, FDR-corrected). In the right hemisphere, a decrease in T1w/T2w values was observed in the lateral occipital, fusiform, lingual, and transverse temporal cortex (p < 0.05, FDR-corrected).
Conclusion. Our results indicate that classical trigeminal neuralgia is associated with myeloarchitectonic changes in individual areas of the cerebral cortex, reflecting the complex nature of the pathogenesis of this condition.
About the Authors
E. A. FilimonovaRussian Federation
Elena A. Filimonova - radiologist; head of the radiology department, Federal Neurosurgery Center; Department of Neurosurgery assistant, Novosibirsk State Medical University.
Novosibirsk
A. A. Pashkov
Russian Federation
Anton A. Pashkov - medical psychologist, Federal Neurosurgery Center; lecturer of Department of Neurosurgery, Novosibirsk State Medical University; lecturer of Department of Data Collection and Processing Systems, Novosibirsk State Technical University.
Novosibirsk
V. D. Shmaenkova
Russian Federation
Viktorya D. Shmaenkova - radiology resident at the Center for Postgraduate Medical Education, Institute of Medical and Technical Medicine, Federal State Autonomous Educational Institution «Novosibirsk National Research State University».
Novosibirsk
G. I. Moysak
Russian Federation
Galina I. Moysak - PhD; neurologist, Federal Neurosurgery Center; Associate Professor, Department of Neurosurgery, Novosibirsk State Medical University; Associate Professor, Department of Neuroscience; Novosibirsk State University.
Novosibirsk
J. A. Rzaev
Russian Federation
Jamil A. Rzaev - Doctor of Medical Sciences, Professor, neurosurgeon, Chief Physician of the Federal Neurosurgery Center; head of the Department of Neurosurgery of the Novosibirsk State Medical University; professor of the Department of Neurosciences at the V. Zelman Institute of Medicine and Psychology of Novosibirsk State University.
Novosibirsk
References
1. Arshad M., Stanley J. A., Raz N. Adult age differences in subcortical myelin content are consistent with protracted myelination and unrelated to diffusion tensor imaging indices. Neuroimage. 2016;143: 26-39. DOI
2. Chong M. S., Bahra A., Zakrzewska J. M. Guidelines for the management of trigeminal neuralgia. Cleve Clin. J. Med. 2023; 90(6):355-362. DOI
3. Filimonova E., Ovsiannikov K., Sosnov A., Perfilyev A., Gafurov R., Galaktionov D., Bervickiy A., Kiselev V., Rzaev J. Myelin damage and cortical atrophy in watershed regions in patients with moyamoya angiopathy. Frontiers in Neuroscience. 2022;16. DOI
4. Filimonova E., Ovsiannikov K., Sosnov A., Perfilyev A., Gafurov R., Galaktionov D., Bervickiy A., Kiselev V., Rzaev J. Myelin damage and cortical atrophy in water-shed regions in patients with moyamoya angiopathy. Front. Neurosci. 2022;16:982829. DOI
5. Filimonova E., Pashkov A., Moysak G., Martirosyan A., Rzaev J. Hippocampal Subfield Abnormalities in Patients With Primary Trigeminal Neuralgia. J. Neuroimaging. 2025;35(1):e70026. DOI
6. Ganzetti M., Wenderoth N., Mantini D. Whole brain myelin mapping using T1- and T2-weighted MR imaging data. Frontiers in Human Neuroscience. 2014; 8:671. DOI
7. Ge X., Wang L., Pan L., Ye H., Zhu X., Fan S., Feng Q., Du Q., Yu W., Ding Z. Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis. J. Headache. Pain. 2023;24(1):17. DOI
8. Glasser M. F., Goyal M. S., Preuss T. M., Raichle M. E., Van Essen D. C. Trends and properties of human cerebral cortex: correlations with cortical myelin content. Neuroimage. 2014;93 Pt 2:165-75. DOI
9. Glasser M. F., Van Essen D. C. Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI. J. Neurosci. 2011;31 (32):11597-616. DOI
10. Grydeland H., Walhovd K. B., Tamnes C. K., Westlye L. T., Fjell A. M. Intracortical myelin links with performance variability across the human lifespan: results from T1- and T2-weighted MRI myelin mapping and diffusion tensor imaging. J. Neurosci. 2013;33(47):18618-30. DOI
11. Hagiwara A., Hori M., Kamagata K., Warntjes M., Matsuyoshi D., Nakazawa M., Ueda R., Andica C., Koshino S., Maekawa T., Irie R., Takamura T., Kumamaru K. K., Abe O., Aoki S. Myelin Measurement: Comparison Between Simultaneous Tissue Relaxometry, Magnetization Transfer Saturation Index, and T1w/T2w Ratio Methods. Sci. Rep. 2018; 8(1):10554. DOI
12. Huang Z., Pu B., Li F., Liu K., Hua C., Li C., Zhao C., Li J., Li X. Analysis of Failed Microvascular Decompression in Patients with Trigeminal Neuralgia. J. Neurol. Surg. B Skull Base. 2020;81(5):567-571. DOI
13. Hughes M. A., Frederickson A. M., Branstetter B. F., Zhu X., Sekula R. F. Jr. MRI of the Trigeminal Nerve in Patients With Trigeminal Neuralgia Secondary to Vascular Compression. AJR Am. J. Roentgenol. 2016;206(3):595-600. DOI
14. Kontzialis M., Kocak M. Imaging evaluation of trigeminal neuralgia. J. Istanb Univ Fac Dent. 2017;51(3 Suppl 1): S62-S68. DOI
15. Kucyi A., Davis K. D. The dynamic pain connectome. Trends Neurosci. 2015;38 (2):86-95. DOI
16. Leal P. R., Hermier M., Froment J. C., Souza M. A., Cristino-Filho G., Sindou M. Preoperative demonstration of the neurovascular compression characteristics with special emphasis on the degree of compression, using high-resolution magnetic resonance imaging: a prospective study, with comparison to surgical findings, in 100 consecutive patients who underwent microvascular decompression for trigeminal neuralgia. Acta Neurochir. (Wien). 2010;152(5):817-25. DOI
17. Li M., Yan J., Wen H., Lin J., Liang L., Li S., Xie S., Li W., Lin C., Jiang G. Cortical thickness, gyrification and sulcal depth in trigeminal neuralgia. Sci. Rep. 2021;11(1):16322. DOI
18. Liu H., Hou H., Li F., Zheng R., Zhang Y., Cheng J., Han S. Structural and Functional Brain Changes in Patients With Classic Trigeminal Neuralgia: A Combination of Voxel-Based Morphometry and Resting-State Functional MRI Study. Front. Neurosci. 2022;16:930765. DOI
19. Margoni M., Pagani E., Meani A., Storelli L., Mesaros S., Drulovic J., Barkhof F., Vrenken H., Strijbis E., Gallo A., Bisecco A., Pareto D., Sastre-Garriga J., Ciccarelli O., Yiannakas M., Palace J., Preziosa P., Rocca M. A., Filippi M. Exploring in-vivo brain microstructural damage in multiple sclerosis through T1w/T2w-ratio mapping: a multicenter study. J. Neurol. Neurosurg. Psychiatry. 2002;93(7):741-752. DOI
20. May A. Structural brain imaging: a window into chronic pain. Neuroscientist. 2011;17(2):209-20. DOI
21. Mouraux A., Bannister K., Becker S., Finn D. P., Pickering G., Pogatzki-Zahn E., Graven-Nielsen T. Challenges and opportunities in translational pain research — An opinion paper of the working group on translational pain research of the European pain federation (EFIC). Eur. J. Pain. 2021;25(4):731-756. DOI
22. Nakamura K., Chen J. T., Ontaneda D., Fox R. J., Trapp B. D. T1-/T2-weighted ratio differs in demyelinated cortex in multiple sclerosis. Ann Neurol. 2017;82(4):635-639. DOI
23. Olesen J. Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition. Cephalalgia. 2018;1(38):1-211. DOI
24. Pareto D., Garcia-Vidal A., Alberich M., Auger C., Montalban X., Tintoré M., Sastre-Garriga J., Rovira À. Ratio of T1-Weighted to T2-Weighted Signal Intensity as a Measure of Tissue Integrity: Comparison with Magnetization Transfer Ratio in Pa-tients with Multiple Sclerosis. AJNR Am. J. Neuroradiol. 2020;41(3): 461-463. DOI
25. Pashkov А., Filimonova Е., Zaitsev В., Martirosyan А., Moysak G., Rzaev J. Thalamic changes in patients with chronic facial pain. Neuroradiology. 2025;67 (4):895-908. DOI
26. Shafee R., Buckner R. L., Fischl B. Gray matter myelination of 1555 human brains using partial volume corrected MRI images. Neuroimage. 2015;105:473-85. DOI
27. Tan G., Jensen M. P., Robinson-Whelen S., Thornby J. I., Monga T. Measuring control appraisals in chronic pain. J. Pain. 2002;3(5):385-93. DOI
28. De Toledo I. P., Conti Réus J., Fernandes M., Porporatti A. L., Peres M. A., Takaschima A., Linhares M. N., Guerra E., De Luca Canto G. Prevalence of trigeminal neuralgia: A systematic review. J. Am. Dent. Assoc. 2016;147(7):570-576. e2. DOI
29. Tu Y., Jung M., Gollub R. L., Napadow V., Gerber J., Ortiz A., Lang C., Mawla I., Shen W., Chan S. T., Wasan A. D., Edwards R. R., Kaptchuk T. J., Rosen B., Kong J. Abnormal medial prefrontal cortex functional connectivity and its association with clinical symptoms in chronic low back pain. Pain. 2019;160(6):1308-1318. DOI
30. Zheng Y., Dudman J., Chen J. T., Mahajan K. R., Herman D., Fox R. J., Ontaneda D., Trapp B. D., Nakamura K. Sensitivity of T1/T2-weighted ratio in detection of cortical demyelination is similar to magnetization transfer ratio using postmortem MRI. Mult. Scler. 2022;28(2):198-205. DOI
Review
For citations:
Filimonova E.A., Pashkov A.A., Shmaenkova V.D., Moysak G.I., Rzaev J.A. Cortical Myeloarchitectonic Changes in Patients with Classical Trigeminal Neuralgia. Radiology - Practice. 2026;(1):43-59. (In Russ.) https://doi.org/10.52560/2713-0118-2026-1-43-59
JATS XML
















