Literature DB >> 35471744

Shape deformations of the basal ganglia in patients with classical trigeminal neuralgia: a cross-sectional evaluation.

Hui Xu1, Ming Zhang1, Yuan Wang2.   

Abstract

INTRODUCTION: Despite the involvement of subcortical brain structures in the pathogenesis of classic trigeminal neuralgia (CTN), the details of morphological abnormalities of basal ganglia to this disorder are still unknown. This study aimed to investigate potential changes in terms of volume and shape of subcortical regions in patients with CTN.
METHODS: Forty-eight patients with CTN and 46 matched healthy subjects were recruited in the study. The whole-brain T1 anatomical data was acquired at a 3.0 Tesla scanner using a fast spoiled gradient recalled sequence (FSPGR). Vertex-wise analysis was applied to detect the alterations of volume and shape in each subcortical region in the patients with CTN compared to healthy controls. The relationships of morphological abnormalities in subcortical structures to the severity of orofacial pain and the affective disturbance in the patient group were examined using the multiple linear regression model.
RESULTS: No group difference was found about volumetric measurement in any of the subcortical regions. Vertex-wise analysis revealed areas of significant shape atrophy in bilateral putamen and bilateral pallidum in the patients with CTN compared to healthy controls. Besides, the patient group exhibited shape expansion in the head of the right caudate nucleus compared to healthy subjects. In addition, shape deformation in the head of the right caudate nucleus was positively associated with VAS score in CTN.
CONCLUSION: The patients with CTN display shape alterations in the specific subregions of basal ganglia, which may contribute to the pathophysiology of this refractory disorder and may be useful for translational medicine.
© 2022. Fondazione Società Italiana di Neurologia.

Entities:  

Keywords:  Basal ganglia; Classic trigeminal neuralgia; Pain intensity; Shape deformations; Vertex-wise analysis

Mesh:

Year:  2022        PMID: 35471744     DOI: 10.1007/s10072-022-06091-y

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.830


  34 in total

1.  An anatomical study of the neurovascular relationships at the trigeminal root entry zone.

Authors:  Vengalathur Ganesan Ramesh; Ganapathy Premkumar
Journal:  J Clin Neurosci       Date:  2009-03-28       Impact factor: 1.961

2.  Reduced volume of gray matter in patients with trigeminal neuralgia.

Authors:  Meng Li; Jianhao Yan; Shumei Li; Tianyue Wang; Wenfeng Zhan; Hua Wen; Xiaofen Ma; Yong Zhang; Junzhang Tian; Guihua Jiang
Journal:  Brain Imaging Behav       Date:  2017-04       Impact factor: 3.978

3.  Gray matter volume reduction reflects chronic pain in trigeminal neuralgia.

Authors:  Mark Obermann; Rea Rodriguez-Raecke; Steffen Naegel; Dagny Holle; Daniel Mueller; Min-Suk Yoon; Nina Theysohn; Sebastian Blex; Hans-Christoph Diener; Zaza Katsarava
Journal:  Neuroimage       Date:  2013-02-26       Impact factor: 6.556

4.  Anatomical study of the trigeminal and facial cranial nerves with the aid of 3.0-tesla magnetic resonance imaging.

Authors:  Yukinari Kakizawa; Tatsuya Seguchi; Kunihiko Kodama; Toshihiro Ogiwara; Tetsuo Sasaki; Tetsuya Goto; Kazuhiro Hongo
Journal:  J Neurosurg       Date:  2008-03       Impact factor: 5.115

5.  Pain Relief Reverses Hippocampal Abnormalities in Trigeminal Neuralgia.

Authors:  Alborz Noorani; Peter Shih-Ping Hung; Jia Y Zhang; Kaylee Sohng; Normand Laperriere; Massieh Moayedi; Mojgan Hodaie
Journal:  J Pain       Date:  2021-08-08       Impact factor: 5.820

Review 6.  Trigeminal neuralgia: New classification and diagnostic grading for practice and research.

Authors:  Giorgio Cruccu; Nanna B Finnerup; Troels S Jensen; Joachim Scholz; Marc Sindou; Peter Svensson; Rolf-Detlef Treede; Joanna M Zakrzewska; Turo Nurmikko
Journal:  Neurology       Date:  2016-06-15       Impact factor: 9.910

7.  Sensitivity of magnetic resonance tomographic angiography for detecting the degree of neurovascular compression in trigeminal neuralgia.

Authors:  Yun-Bo Hao; Wei-Jie Zhang; Min-Jie Chen; Ying Chai; Wen-Hao Zhang; Wen-Bin Wei
Journal:  Neurol Sci       Date:  2020-04-29       Impact factor: 3.307

8.  Correlation between nerve atrophy, brain grey matter volume and pain severity in patients with primary trigeminal neuralgia.

Authors:  Yuan Wang; Qian Yang; Dongyuan Cao; David Seminowicz; Bethany Remeniuk; Lin Gao; Ming Zhang
Journal:  Cephalalgia       Date:  2018-08-07       Impact factor: 6.292

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