Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis

Objective This study aimed to combine voxel-based morphometry, deformation-based morphometry, and surface-based morphometry to analyze gray matter volume and cortex shape in classical trigeminal neuralgia patients. Methods This study included 79 classical trigeminal neuralgia patients and age- and sex-matched 81 healthy controls. The aforementioned three methods were used to analyze brain structure in classical trigeminal neuralgia patients. Spearman correlation analysis was used to analyze the correlation of brain structure with the trigeminal nerve and clinical parameters. Results The bilateral trigeminal nerve was atrophied, and the ipsilateral trigeminal nerve volume was smaller than the contralateral volume in the classical trigeminal neuralgia. The gray matter volume of Temporal_Pole_Sup_R and Precentral_R was found to be decreased using voxel-based morphometry. The gray matter volume of Temporal_Pole_Sup_R had a positive correlation with disease duration and a negative correlation with the cross-section area of the compression point and the quality-of-life score in trigeminal neuralgia. The gray matter volume of Precentral_R was negatively correlated with the ipsilateral volume of the trigeminal nerve cisternal segment, cross-section area of compression point, and visual analogue scale. The gray matter volume of Temporal_Pole_Sup_L was found to be increased using deformation-based morphometry and had a negative correlation with the self-rating anxiety scale. The gyrification of the middle temporal gyrus_L increased and the Postcentral_L thickness decreased, as detected using surface-based morphometry. Conclusions The gray matter volume and cortical morphology of pain-related brain regions were correlated with clinical and trigeminal nerve parameters. voxel-based morphometry, deformation-based morphometry, and surface-based morphometry complemented each other in analyzing the brain structures of patients with classical trigeminal neuralgia and provided a basis for studying the pathophysiology of classical trigeminal neuralgia. Graphical Abstract Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Ge, Xiuhong [verfasserIn] Wang, Luoyu Pan, Lei Ye, Haiqi Zhu, Xiaofen Fan, Sandra Feng, Qi Du, Quan Yu, Wenhua Ding, Zhongxiang

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Classical trigeminal neuralgia Cortex shape Voxel-based morphometry Deformation-based morphometry Gray matter volume Surface-based morphometry

Anmerkung:	© The Author(s) 2023

Übergeordnetes Werk:	Enthalten in: The journal of headache and pain - Milano : Springer Italia, 2000, 24(2023), 1 vom: 21. Feb.
Übergeordnetes Werk:	volume:24 ; year:2023 ; number:1 ; day:21 ; month:02

Links:	Volltext

DOI / URN:	10.1186/s10194-023-01544-x

Katalog-ID:	SPR04939455X

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520			\|a Objective This study aimed to combine voxel-based morphometry, deformation-based morphometry, and surface-based morphometry to analyze gray matter volume and cortex shape in classical trigeminal neuralgia patients. Methods This study included 79 classical trigeminal neuralgia patients and age- and sex-matched 81 healthy controls. The aforementioned three methods were used to analyze brain structure in classical trigeminal neuralgia patients. Spearman correlation analysis was used to analyze the correlation of brain structure with the trigeminal nerve and clinical parameters. Results The bilateral trigeminal nerve was atrophied, and the ipsilateral trigeminal nerve volume was smaller than the contralateral volume in the classical trigeminal neuralgia. The gray matter volume of Temporal_Pole_Sup_R and Precentral_R was found to be decreased using voxel-based morphometry. The gray matter volume of Temporal_Pole_Sup_R had a positive correlation with disease duration and a negative correlation with the cross-section area of the compression point and the quality-of-life score in trigeminal neuralgia. The gray matter volume of Precentral_R was negatively correlated with the ipsilateral volume of the trigeminal nerve cisternal segment, cross-section area of compression point, and visual analogue scale. The gray matter volume of Temporal_Pole_Sup_L was found to be increased using deformation-based morphometry and had a negative correlation with the self-rating anxiety scale. The gyrification of the middle temporal gyrus_L increased and the Postcentral_L thickness decreased, as detected using surface-based morphometry. Conclusions The gray matter volume and cortical morphology of pain-related brain regions were correlated with clinical and trigeminal nerve parameters. voxel-based morphometry, deformation-based morphometry, and surface-based morphometry complemented each other in analyzing the brain structures of patients with classical trigeminal neuralgia and provided a basis for studying the pathophysiology of classical trigeminal neuralgia. Graphical Abstract
520			\|a Highlights We first applied the three methods (VBM, DBM, and SBM) to the brain structure study in CTN and found that the three methods were complementary.Some of the different brain regions correlated with clinical parameters, TGNcV, and CSA of the compression point.
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allfields	10.1186/s10194-023-01544-x doi (DE-627)SPR04939455X (SPR)s10194-023-01544-x-e DE-627 ger DE-627 rakwb eng Ge, Xiuhong verfasserin aut Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Objective This study aimed to combine voxel-based morphometry, deformation-based morphometry, and surface-based morphometry to analyze gray matter volume and cortex shape in classical trigeminal neuralgia patients. Methods This study included 79 classical trigeminal neuralgia patients and age- and sex-matched 81 healthy controls. The aforementioned three methods were used to analyze brain structure in classical trigeminal neuralgia patients. Spearman correlation analysis was used to analyze the correlation of brain structure with the trigeminal nerve and clinical parameters. Results The bilateral trigeminal nerve was atrophied, and the ipsilateral trigeminal nerve volume was smaller than the contralateral volume in the classical trigeminal neuralgia. The gray matter volume of Temporal_Pole_Sup_R and Precentral_R was found to be decreased using voxel-based morphometry. The gray matter volume of Temporal_Pole_Sup_R had a positive correlation with disease duration and a negative correlation with the cross-section area of the compression point and the quality-of-life score in trigeminal neuralgia. The gray matter volume of Precentral_R was negatively correlated with the ipsilateral volume of the trigeminal nerve cisternal segment, cross-section area of compression point, and visual analogue scale. The gray matter volume of Temporal_Pole_Sup_L was found to be increased using deformation-based morphometry and had a negative correlation with the self-rating anxiety scale. The gyrification of the middle temporal gyrus_L increased and the Postcentral_L thickness decreased, as detected using surface-based morphometry. Conclusions The gray matter volume and cortical morphology of pain-related brain regions were correlated with clinical and trigeminal nerve parameters. voxel-based morphometry, deformation-based morphometry, and surface-based morphometry complemented each other in analyzing the brain structures of patients with classical trigeminal neuralgia and provided a basis for studying the pathophysiology of classical trigeminal neuralgia. Graphical Abstract Highlights We first applied the three methods (VBM, DBM, and SBM) to the brain structure study in CTN and found that the three methods were complementary.Some of the different brain regions correlated with clinical parameters, TGNcV, and CSA of the compression point. Classical trigeminal neuralgia (dpeaa)DE-He213 Cortex shape (dpeaa)DE-He213 Voxel-based morphometry (dpeaa)DE-He213 Deformation-based morphometry (dpeaa)DE-He213 Gray matter volume (dpeaa)DE-He213 Surface-based morphometry (dpeaa)DE-He213 Wang, Luoyu aut Pan, Lei aut Ye, Haiqi aut Zhu, Xiaofen aut Fan, Sandra aut Feng, Qi aut Du, Quan aut Yu, Wenhua aut Ding, Zhongxiang (orcid)0000-0001-7691-5571 aut Enthalten in The journal of headache and pain Milano : Springer Italia, 2000 24(2023), 1 vom: 21. Feb. (DE-627)320600963 (DE-600)2020168-0 1129-2377 nnns volume:24 year:2023 number:1 day:21 month:02 https://dx.doi.org/10.1186/s10194-023-01544-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 24 2023 1 21 02
spelling	10.1186/s10194-023-01544-x doi (DE-627)SPR04939455X (SPR)s10194-023-01544-x-e DE-627 ger DE-627 rakwb eng Ge, Xiuhong verfasserin aut Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Objective This study aimed to combine voxel-based morphometry, deformation-based morphometry, and surface-based morphometry to analyze gray matter volume and cortex shape in classical trigeminal neuralgia patients. Methods This study included 79 classical trigeminal neuralgia patients and age- and sex-matched 81 healthy controls. The aforementioned three methods were used to analyze brain structure in classical trigeminal neuralgia patients. Spearman correlation analysis was used to analyze the correlation of brain structure with the trigeminal nerve and clinical parameters. Results The bilateral trigeminal nerve was atrophied, and the ipsilateral trigeminal nerve volume was smaller than the contralateral volume in the classical trigeminal neuralgia. The gray matter volume of Temporal_Pole_Sup_R and Precentral_R was found to be decreased using voxel-based morphometry. The gray matter volume of Temporal_Pole_Sup_R had a positive correlation with disease duration and a negative correlation with the cross-section area of the compression point and the quality-of-life score in trigeminal neuralgia. The gray matter volume of Precentral_R was negatively correlated with the ipsilateral volume of the trigeminal nerve cisternal segment, cross-section area of compression point, and visual analogue scale. The gray matter volume of Temporal_Pole_Sup_L was found to be increased using deformation-based morphometry and had a negative correlation with the self-rating anxiety scale. The gyrification of the middle temporal gyrus_L increased and the Postcentral_L thickness decreased, as detected using surface-based morphometry. Conclusions The gray matter volume and cortical morphology of pain-related brain regions were correlated with clinical and trigeminal nerve parameters. voxel-based morphometry, deformation-based morphometry, and surface-based morphometry complemented each other in analyzing the brain structures of patients with classical trigeminal neuralgia and provided a basis for studying the pathophysiology of classical trigeminal neuralgia. Graphical Abstract Highlights We first applied the three methods (VBM, DBM, and SBM) to the brain structure study in CTN and found that the three methods were complementary.Some of the different brain regions correlated with clinical parameters, TGNcV, and CSA of the compression point. Classical trigeminal neuralgia (dpeaa)DE-He213 Cortex shape (dpeaa)DE-He213 Voxel-based morphometry (dpeaa)DE-He213 Deformation-based morphometry (dpeaa)DE-He213 Gray matter volume (dpeaa)DE-He213 Surface-based morphometry (dpeaa)DE-He213 Wang, Luoyu aut Pan, Lei aut Ye, Haiqi aut Zhu, Xiaofen aut Fan, Sandra aut Feng, Qi aut Du, Quan aut Yu, Wenhua aut Ding, Zhongxiang (orcid)0000-0001-7691-5571 aut Enthalten in The journal of headache and pain Milano : Springer Italia, 2000 24(2023), 1 vom: 21. Feb. (DE-627)320600963 (DE-600)2020168-0 1129-2377 nnns volume:24 year:2023 number:1 day:21 month:02 https://dx.doi.org/10.1186/s10194-023-01544-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 24 2023 1 21 02
allfields_unstemmed	10.1186/s10194-023-01544-x doi (DE-627)SPR04939455X (SPR)s10194-023-01544-x-e DE-627 ger DE-627 rakwb eng Ge, Xiuhong verfasserin aut Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Objective This study aimed to combine voxel-based morphometry, deformation-based morphometry, and surface-based morphometry to analyze gray matter volume and cortex shape in classical trigeminal neuralgia patients. Methods This study included 79 classical trigeminal neuralgia patients and age- and sex-matched 81 healthy controls. The aforementioned three methods were used to analyze brain structure in classical trigeminal neuralgia patients. Spearman correlation analysis was used to analyze the correlation of brain structure with the trigeminal nerve and clinical parameters. Results The bilateral trigeminal nerve was atrophied, and the ipsilateral trigeminal nerve volume was smaller than the contralateral volume in the classical trigeminal neuralgia. The gray matter volume of Temporal_Pole_Sup_R and Precentral_R was found to be decreased using voxel-based morphometry. The gray matter volume of Temporal_Pole_Sup_R had a positive correlation with disease duration and a negative correlation with the cross-section area of the compression point and the quality-of-life score in trigeminal neuralgia. The gray matter volume of Precentral_R was negatively correlated with the ipsilateral volume of the trigeminal nerve cisternal segment, cross-section area of compression point, and visual analogue scale. The gray matter volume of Temporal_Pole_Sup_L was found to be increased using deformation-based morphometry and had a negative correlation with the self-rating anxiety scale. The gyrification of the middle temporal gyrus_L increased and the Postcentral_L thickness decreased, as detected using surface-based morphometry. Conclusions The gray matter volume and cortical morphology of pain-related brain regions were correlated with clinical and trigeminal nerve parameters. voxel-based morphometry, deformation-based morphometry, and surface-based morphometry complemented each other in analyzing the brain structures of patients with classical trigeminal neuralgia and provided a basis for studying the pathophysiology of classical trigeminal neuralgia. Graphical Abstract Highlights We first applied the three methods (VBM, DBM, and SBM) to the brain structure study in CTN and found that the three methods were complementary.Some of the different brain regions correlated with clinical parameters, TGNcV, and CSA of the compression point. Classical trigeminal neuralgia (dpeaa)DE-He213 Cortex shape (dpeaa)DE-He213 Voxel-based morphometry (dpeaa)DE-He213 Deformation-based morphometry (dpeaa)DE-He213 Gray matter volume (dpeaa)DE-He213 Surface-based morphometry (dpeaa)DE-He213 Wang, Luoyu aut Pan, Lei aut Ye, Haiqi aut Zhu, Xiaofen aut Fan, Sandra aut Feng, Qi aut Du, Quan aut Yu, Wenhua aut Ding, Zhongxiang (orcid)0000-0001-7691-5571 aut Enthalten in The journal of headache and pain Milano : Springer Italia, 2000 24(2023), 1 vom: 21. Feb. (DE-627)320600963 (DE-600)2020168-0 1129-2377 nnns volume:24 year:2023 number:1 day:21 month:02 https://dx.doi.org/10.1186/s10194-023-01544-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 24 2023 1 21 02
allfieldsGer	10.1186/s10194-023-01544-x doi (DE-627)SPR04939455X (SPR)s10194-023-01544-x-e DE-627 ger DE-627 rakwb eng Ge, Xiuhong verfasserin aut Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Objective This study aimed to combine voxel-based morphometry, deformation-based morphometry, and surface-based morphometry to analyze gray matter volume and cortex shape in classical trigeminal neuralgia patients. Methods This study included 79 classical trigeminal neuralgia patients and age- and sex-matched 81 healthy controls. The aforementioned three methods were used to analyze brain structure in classical trigeminal neuralgia patients. Spearman correlation analysis was used to analyze the correlation of brain structure with the trigeminal nerve and clinical parameters. Results The bilateral trigeminal nerve was atrophied, and the ipsilateral trigeminal nerve volume was smaller than the contralateral volume in the classical trigeminal neuralgia. The gray matter volume of Temporal_Pole_Sup_R and Precentral_R was found to be decreased using voxel-based morphometry. The gray matter volume of Temporal_Pole_Sup_R had a positive correlation with disease duration and a negative correlation with the cross-section area of the compression point and the quality-of-life score in trigeminal neuralgia. The gray matter volume of Precentral_R was negatively correlated with the ipsilateral volume of the trigeminal nerve cisternal segment, cross-section area of compression point, and visual analogue scale. The gray matter volume of Temporal_Pole_Sup_L was found to be increased using deformation-based morphometry and had a negative correlation with the self-rating anxiety scale. The gyrification of the middle temporal gyrus_L increased and the Postcentral_L thickness decreased, as detected using surface-based morphometry. Conclusions The gray matter volume and cortical morphology of pain-related brain regions were correlated with clinical and trigeminal nerve parameters. voxel-based morphometry, deformation-based morphometry, and surface-based morphometry complemented each other in analyzing the brain structures of patients with classical trigeminal neuralgia and provided a basis for studying the pathophysiology of classical trigeminal neuralgia. Graphical Abstract Highlights We first applied the three methods (VBM, DBM, and SBM) to the brain structure study in CTN and found that the three methods were complementary.Some of the different brain regions correlated with clinical parameters, TGNcV, and CSA of the compression point. Classical trigeminal neuralgia (dpeaa)DE-He213 Cortex shape (dpeaa)DE-He213 Voxel-based morphometry (dpeaa)DE-He213 Deformation-based morphometry (dpeaa)DE-He213 Gray matter volume (dpeaa)DE-He213 Surface-based morphometry (dpeaa)DE-He213 Wang, Luoyu aut Pan, Lei aut Ye, Haiqi aut Zhu, Xiaofen aut Fan, Sandra aut Feng, Qi aut Du, Quan aut Yu, Wenhua aut Ding, Zhongxiang (orcid)0000-0001-7691-5571 aut Enthalten in The journal of headache and pain Milano : Springer Italia, 2000 24(2023), 1 vom: 21. Feb. (DE-627)320600963 (DE-600)2020168-0 1129-2377 nnns volume:24 year:2023 number:1 day:21 month:02 https://dx.doi.org/10.1186/s10194-023-01544-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 24 2023 1 21 02
allfieldsSound	10.1186/s10194-023-01544-x doi (DE-627)SPR04939455X (SPR)s10194-023-01544-x-e DE-627 ger DE-627 rakwb eng Ge, Xiuhong verfasserin aut Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Objective This study aimed to combine voxel-based morphometry, deformation-based morphometry, and surface-based morphometry to analyze gray matter volume and cortex shape in classical trigeminal neuralgia patients. Methods This study included 79 classical trigeminal neuralgia patients and age- and sex-matched 81 healthy controls. The aforementioned three methods were used to analyze brain structure in classical trigeminal neuralgia patients. Spearman correlation analysis was used to analyze the correlation of brain structure with the trigeminal nerve and clinical parameters. Results The bilateral trigeminal nerve was atrophied, and the ipsilateral trigeminal nerve volume was smaller than the contralateral volume in the classical trigeminal neuralgia. The gray matter volume of Temporal_Pole_Sup_R and Precentral_R was found to be decreased using voxel-based morphometry. The gray matter volume of Temporal_Pole_Sup_R had a positive correlation with disease duration and a negative correlation with the cross-section area of the compression point and the quality-of-life score in trigeminal neuralgia. The gray matter volume of Precentral_R was negatively correlated with the ipsilateral volume of the trigeminal nerve cisternal segment, cross-section area of compression point, and visual analogue scale. The gray matter volume of Temporal_Pole_Sup_L was found to be increased using deformation-based morphometry and had a negative correlation with the self-rating anxiety scale. The gyrification of the middle temporal gyrus_L increased and the Postcentral_L thickness decreased, as detected using surface-based morphometry. Conclusions The gray matter volume and cortical morphology of pain-related brain regions were correlated with clinical and trigeminal nerve parameters. voxel-based morphometry, deformation-based morphometry, and surface-based morphometry complemented each other in analyzing the brain structures of patients with classical trigeminal neuralgia and provided a basis for studying the pathophysiology of classical trigeminal neuralgia. Graphical Abstract Highlights We first applied the three methods (VBM, DBM, and SBM) to the brain structure study in CTN and found that the three methods were complementary.Some of the different brain regions correlated with clinical parameters, TGNcV, and CSA of the compression point. Classical trigeminal neuralgia (dpeaa)DE-He213 Cortex shape (dpeaa)DE-He213 Voxel-based morphometry (dpeaa)DE-He213 Deformation-based morphometry (dpeaa)DE-He213 Gray matter volume (dpeaa)DE-He213 Surface-based morphometry (dpeaa)DE-He213 Wang, Luoyu aut Pan, Lei aut Ye, Haiqi aut Zhu, Xiaofen aut Fan, Sandra aut Feng, Qi aut Du, Quan aut Yu, Wenhua aut Ding, Zhongxiang (orcid)0000-0001-7691-5571 aut Enthalten in The journal of headache and pain Milano : Springer Italia, 2000 24(2023), 1 vom: 21. Feb. (DE-627)320600963 (DE-600)2020168-0 1129-2377 nnns volume:24 year:2023 number:1 day:21 month:02 https://dx.doi.org/10.1186/s10194-023-01544-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 24 2023 1 21 02
language	English
source	Enthalten in The journal of headache and pain 24(2023), 1 vom: 21. Feb. volume:24 year:2023 number:1 day:21 month:02
sourceStr	Enthalten in The journal of headache and pain 24(2023), 1 vom: 21. Feb. volume:24 year:2023 number:1 day:21 month:02
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Classical trigeminal neuralgia Cortex shape Voxel-based morphometry Deformation-based morphometry Gray matter volume Surface-based morphometry
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container_title	The journal of headache and pain
authorswithroles_txt_mv	Ge, Xiuhong @@aut@@ Wang, Luoyu @@aut@@ Pan, Lei @@aut@@ Ye, Haiqi @@aut@@ Zhu, Xiaofen @@aut@@ Fan, Sandra @@aut@@ Feng, Qi @@aut@@ Du, Quan @@aut@@ Yu, Wenhua @@aut@@ Ding, Zhongxiang @@aut@@
publishDateDaySort_date	2023-02-21T00:00:00Z
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author	Ge, Xiuhong
spellingShingle	Ge, Xiuhong misc Classical trigeminal neuralgia misc Cortex shape misc Voxel-based morphometry misc Deformation-based morphometry misc Gray matter volume misc Surface-based morphometry Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis
authorStr	Ge, Xiuhong
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topic_title	Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis Classical trigeminal neuralgia (dpeaa)DE-He213 Cortex shape (dpeaa)DE-He213 Voxel-based morphometry (dpeaa)DE-He213 Deformation-based morphometry (dpeaa)DE-He213 Gray matter volume (dpeaa)DE-He213 Surface-based morphometry (dpeaa)DE-He213
topic	misc Classical trigeminal neuralgia misc Cortex shape misc Voxel-based morphometry misc Deformation-based morphometry misc Gray matter volume misc Surface-based morphometry
topic_unstemmed	misc Classical trigeminal neuralgia misc Cortex shape misc Voxel-based morphometry misc Deformation-based morphometry misc Gray matter volume misc Surface-based morphometry
topic_browse	misc Classical trigeminal neuralgia misc Cortex shape misc Voxel-based morphometry misc Deformation-based morphometry misc Gray matter volume misc Surface-based morphometry
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title	Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis
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title_full	Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis
author_sort	Ge, Xiuhong
journal	The journal of headache and pain
journalStr	The journal of headache and pain
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author_browse	Ge, Xiuhong Wang, Luoyu Pan, Lei Ye, Haiqi Zhu, Xiaofen Fan, Sandra Feng, Qi Du, Quan Yu, Wenhua Ding, Zhongxiang
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author-letter	Ge, Xiuhong
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title_sort	alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis
title_auth	Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis
abstract	Objective This study aimed to combine voxel-based morphometry, deformation-based morphometry, and surface-based morphometry to analyze gray matter volume and cortex shape in classical trigeminal neuralgia patients. Methods This study included 79 classical trigeminal neuralgia patients and age- and sex-matched 81 healthy controls. The aforementioned three methods were used to analyze brain structure in classical trigeminal neuralgia patients. Spearman correlation analysis was used to analyze the correlation of brain structure with the trigeminal nerve and clinical parameters. Results The bilateral trigeminal nerve was atrophied, and the ipsilateral trigeminal nerve volume was smaller than the contralateral volume in the classical trigeminal neuralgia. The gray matter volume of Temporal_Pole_Sup_R and Precentral_R was found to be decreased using voxel-based morphometry. The gray matter volume of Temporal_Pole_Sup_R had a positive correlation with disease duration and a negative correlation with the cross-section area of the compression point and the quality-of-life score in trigeminal neuralgia. The gray matter volume of Precentral_R was negatively correlated with the ipsilateral volume of the trigeminal nerve cisternal segment, cross-section area of compression point, and visual analogue scale. The gray matter volume of Temporal_Pole_Sup_L was found to be increased using deformation-based morphometry and had a negative correlation with the self-rating anxiety scale. The gyrification of the middle temporal gyrus_L increased and the Postcentral_L thickness decreased, as detected using surface-based morphometry. Conclusions The gray matter volume and cortical morphology of pain-related brain regions were correlated with clinical and trigeminal nerve parameters. voxel-based morphometry, deformation-based morphometry, and surface-based morphometry complemented each other in analyzing the brain structures of patients with classical trigeminal neuralgia and provided a basis for studying the pathophysiology of classical trigeminal neuralgia. Graphical Abstract Highlights We first applied the three methods (VBM, DBM, and SBM) to the brain structure study in CTN and found that the three methods were complementary.Some of the different brain regions correlated with clinical parameters, TGNcV, and CSA of the compression point. © The Author(s) 2023
abstractGer	Objective This study aimed to combine voxel-based morphometry, deformation-based morphometry, and surface-based morphometry to analyze gray matter volume and cortex shape in classical trigeminal neuralgia patients. Methods This study included 79 classical trigeminal neuralgia patients and age- and sex-matched 81 healthy controls. The aforementioned three methods were used to analyze brain structure in classical trigeminal neuralgia patients. Spearman correlation analysis was used to analyze the correlation of brain structure with the trigeminal nerve and clinical parameters. Results The bilateral trigeminal nerve was atrophied, and the ipsilateral trigeminal nerve volume was smaller than the contralateral volume in the classical trigeminal neuralgia. The gray matter volume of Temporal_Pole_Sup_R and Precentral_R was found to be decreased using voxel-based morphometry. The gray matter volume of Temporal_Pole_Sup_R had a positive correlation with disease duration and a negative correlation with the cross-section area of the compression point and the quality-of-life score in trigeminal neuralgia. The gray matter volume of Precentral_R was negatively correlated with the ipsilateral volume of the trigeminal nerve cisternal segment, cross-section area of compression point, and visual analogue scale. The gray matter volume of Temporal_Pole_Sup_L was found to be increased using deformation-based morphometry and had a negative correlation with the self-rating anxiety scale. The gyrification of the middle temporal gyrus_L increased and the Postcentral_L thickness decreased, as detected using surface-based morphometry. Conclusions The gray matter volume and cortical morphology of pain-related brain regions were correlated with clinical and trigeminal nerve parameters. voxel-based morphometry, deformation-based morphometry, and surface-based morphometry complemented each other in analyzing the brain structures of patients with classical trigeminal neuralgia and provided a basis for studying the pathophysiology of classical trigeminal neuralgia. Graphical Abstract Highlights We first applied the three methods (VBM, DBM, and SBM) to the brain structure study in CTN and found that the three methods were complementary.Some of the different brain regions correlated with clinical parameters, TGNcV, and CSA of the compression point. © The Author(s) 2023
abstract_unstemmed	Objective This study aimed to combine voxel-based morphometry, deformation-based morphometry, and surface-based morphometry to analyze gray matter volume and cortex shape in classical trigeminal neuralgia patients. Methods This study included 79 classical trigeminal neuralgia patients and age- and sex-matched 81 healthy controls. The aforementioned three methods were used to analyze brain structure in classical trigeminal neuralgia patients. Spearman correlation analysis was used to analyze the correlation of brain structure with the trigeminal nerve and clinical parameters. Results The bilateral trigeminal nerve was atrophied, and the ipsilateral trigeminal nerve volume was smaller than the contralateral volume in the classical trigeminal neuralgia. The gray matter volume of Temporal_Pole_Sup_R and Precentral_R was found to be decreased using voxel-based morphometry. The gray matter volume of Temporal_Pole_Sup_R had a positive correlation with disease duration and a negative correlation with the cross-section area of the compression point and the quality-of-life score in trigeminal neuralgia. The gray matter volume of Precentral_R was negatively correlated with the ipsilateral volume of the trigeminal nerve cisternal segment, cross-section area of compression point, and visual analogue scale. The gray matter volume of Temporal_Pole_Sup_L was found to be increased using deformation-based morphometry and had a negative correlation with the self-rating anxiety scale. The gyrification of the middle temporal gyrus_L increased and the Postcentral_L thickness decreased, as detected using surface-based morphometry. Conclusions The gray matter volume and cortical morphology of pain-related brain regions were correlated with clinical and trigeminal nerve parameters. voxel-based morphometry, deformation-based morphometry, and surface-based morphometry complemented each other in analyzing the brain structures of patients with classical trigeminal neuralgia and provided a basis for studying the pathophysiology of classical trigeminal neuralgia. Graphical Abstract Highlights We first applied the three methods (VBM, DBM, and SBM) to the brain structure study in CTN and found that the three methods were complementary.Some of the different brain regions correlated with clinical parameters, TGNcV, and CSA of the compression point. © The Author(s) 2023
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title_short	Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis
url	https://dx.doi.org/10.1186/s10194-023-01544-x
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author2	Wang, Luoyu Pan, Lei Ye, Haiqi Zhu, Xiaofen Fan, Sandra Feng, Qi Du, Quan Yu, Wenhua Ding, Zhongxiang
author2Str	Wang, Luoyu Pan, Lei Ye, Haiqi Zhu, Xiaofen Fan, Sandra Feng, Qi Du, Quan Yu, Wenhua Ding, Zhongxiang
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