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

Ge, Xuming; Wang, Luoyu; Pan, Lei; Ye, Haiqi; Zhu, Xiaofen; Fan, Sandra; Feng, Qianjin; Du, Quan; Wang, Yu; Ding, Zhongxiang

doi:10.1186/s10194-023-01544-x

Cited by 9 publications

(4 citation statements)

References 70 publications

(82 reference statements)

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“…Additionally, VBM analysis, being a voxel-level analysis methods, provides volume estimations of gray matter ( Garrido et al, 2009 ), but it may neglect potential changes caused by complex folding conditions, including cortical thickness and sulcal depth. Ge et al (2023) reported a decrease in cortical thickness in the left post central regions of patients with TN compared to HCs, along with a decrease in gray matter volume in the right temporal lobe and right precentral region. The differing processing procedures of various methods can yield distinct results.…”

Section: Discussionmentioning

confidence: 95%

“…Insights from structural magnetic resonance imaging (sMRI) have suggested that reduced gray matter volume in the left inferior temporal gyrus ( Wang et al, 2017 ) and the right precentral gruy ( Ge et al, 2023 ) is negatively associated with pain intensity. These studies highlight changes in brain gray matter volume that may be linked to inter-individual symptoms.…”

Section: Introductionmentioning

confidence: 99%

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The white matter characteristic of the genu of corpus callosum coupled with pain intensity and negative emotion scores in patients with trigeminal neuralgia: a multivariate analysis

Sun,

Zhang,

Huang

et al. 2024

Front. Neurosci.

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BackgroundTrigeminal neuralgia (TN) is a chronic neuropathic pain disorder that not only causes intense pain but also affects the psychological health of patients. Since TN pain intensity and negative emotion may be grounded in our own pain experiences, they exhibit huge inter-individual differences. This study investigates the effect of inter-individual differences in pain intensity and negative emotion on brain structure in patients with TN and the possible pathophysiology mechanism underlying this disease.MethodsT1 weighted magnetic resonance imaging and diffusion tensor imaging scans were obtained in 46 patients with TN and 35 healthy controls. All patients with TN underwent pain-related and emotion-related questionnaires. Voxel-based morphometry and regional white matter diffusion property analysis were used to investigate whole brain grey and white matter quantitatively. Innovatively employing partial least squares correlation analysis to explore the relationship among pain intensity, negative emotion and brain microstructure in patients with TN.ResultsSignificant difference in white matter integrity were identified in patients with TN compared to the healthy controls group; The most correlation brain region in the partial least squares correlation analysis was the genus of the corpus callosum, which was negatively associated with both pain intensity and negative emotion.ConclusionThe genu of corpus callosum plays an important role in the cognition of pain perception, the generation and conduction of negative emotions in patients with TN. These findings may deepen our understanding of the pathophysiology of TN.

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Section: Discussionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

The white matter characteristic of the genu of corpus callosum coupled with pain intensity and negative emotion scores in patients with trigeminal neuralgia: a multivariate analysis

Sun,

Zhang,

Huang

et al. 2024

Front. Neurosci.

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“…In addition to the MC, PTN patients exhibit alterations in other areas, such as changes in the volume, atrophy, and gyrification of the gray matter in the brain, including the precentral gyrus, middle temporal gyrus, postcentral gyrus, midbrain aqueduct, and striatum. [39,40] PTN patients also manifest differences in diffusion tensor imaging, functional MRI, magnetic resonance spectroscopy, and other functional MRI sequences. Including the above sites and sequences in radiomics studies [24,41,42] is also a meaningful attempt.…”

Section: Discussionmentioning

confidence: 99%

Radiomics nomogram based on MRI water imaging identifying symptomatic nerves of patients with primary trigeminal neuralgia: A preliminary study

Li,

Zhang,

Yan

et al. 2024

Medicine

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The study proposes a combined nomogram based on radiomics features from magnetic resonance neurohydrography and clinical features to identify symptomatic nerves in patients with primary trigeminal neuralgia. We retrospectively analyzed 140 patients with clinically confirmed trigeminal neuralgia. Out of these, 24 patients constituted the external validation set, while the remaining 116 patients contributed a total of 231 nerves, comprising 118 symptomatic nerves, and 113 normal nerves. Radiomics features were extracted from the MRI water imaging (t2-mix3d-tra-spair). Radiomics feature selection was performed using L1 regularization-based regression, while clinical feature selection utilized univariate analysis and multivariate logistic regression. Subsequently, radiomics, clinical, and combined models were developed by using multivariate logistic regression, and a nomogram of the combined model was drawn. The performance of nomogram in discriminating symptomatic nerves was assessed through the area under the curve (AUC) of receiver operating characteristics, accuracy, and calibration curves. Clinical applications of the nomogram were further evaluated using decision curve analysis. Five clinical factors and 13 radiomics signatures were ultimately selected to establish predictive models. The AUCs in the training and validation cohorts were 0.77 (0.70–0.84) and 0.82 (0.72–0.92) with the radiomics model, 0.69 (0.61–0.77) and 0.66 (0.53–0.79) with the clinical model, 0.80 (0.74–0.87), and 0.85 (0.76–0.94) with the combined model, respectively. In the external validation set, the AUCs for the clinical, radiomics, and combined models were 0.70 (0.60–0.79), 0.78 (0.65–0.91), and 0.81 (0.70–0.93), respectively. The calibration curve demonstrated that the nomogram exhibited good predictive ability. Moreover, The decision curve analysis curve indicated shows that the combined model holds high clinical application value. The integrated model, combines radiomics features from magnetic resonance neurohydrography with clinical factors, proves to be effective in identify symptomatic nerves in trigeminal neuralgia. The diagnostic efficacy of the combined model was notably superior to that of the model constructed solely from conventional clinical features.

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“…MRI-derived biomarkers have repeatedly demonstrated their ability to predict pain intensity and treatment outcomes [23]. However, most of these studies have focused solely on the trigeminal system, overlooking the fact that chronic pain leads to extensive neural reorganization throughout the brain [18,30]. Among the brain regions affected by prolonged pain experiences, the thalamus is frequently highlighted for its prominent role in sensory computations, including the processing of nociceptive signals.…”

Section: Introductionmentioning

confidence: 99%

Thalamic nuclei in primary trigeminal neuralgia: gray matter volume patterns before and after surgery

Pashkov,

Filimonova,

Zaitsev

et al. 2023

Preprint

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Trigeminal neuralgia is a prevalent chronic pain disorder characterized by recurring episodes of intense facial pain, which significantly impairs patients’ quality of life. MRI-based biomarkers have consistently demonstrated their ability to predict pain intensity and treatment outcomes. However, most studies have primarily focused on the trigeminal system, disregarding the extensive neural reorganization that occurs throughout the brain in response to chronic pain. In this study, we aimed to examine the thalamus, a key brain structure involved in information processing, and provide a detailed perspective on thalamic remodeling in response to chronic pain at the level of individual thalamic nuclei. We analyzed a sample of 61 patients with primary trigeminal neuralgia undergoing surgical treatment, along with 28 healthy participants. Our results revealed significant gray matter volume changes in thalamic nuclei among patients with trigeminal neuralgia. Notably, the intralaminar nuclei (centromedian/parafascicular) and nuclei associated with visual and auditory signal processing (lateral and medial geniculate bodies) exhibited significant alterations, contrasting with the ventral group nuclei involved in nociceptive processing. Additionally, we found no substantial volume increase in any of the studied nuclei following successful surgical intervention. The volumes of thalamic nuclei were negatively correlated with pain intensity and disease duration, while positively correlated with working memory scores. The findings obtained in this study, albeit preliminary, have promising clinical implications as they unveil previously unknown facets of chronic pain development and provide valuable guidance for clinical decision-making.

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

Cited by 9 publications

References 70 publications

The white matter characteristic of the genu of corpus callosum coupled with pain intensity and negative emotion scores in patients with trigeminal neuralgia: a multivariate analysis

The white matter characteristic of the genu of corpus callosum coupled with pain intensity and negative emotion scores in patients with trigeminal neuralgia: a multivariate analysis

Radiomics nomogram based on MRI water imaging identifying symptomatic nerves of patients with primary trigeminal neuralgia: A preliminary study

Thalamic nuclei in primary trigeminal neuralgia: gray matter volume patterns before and after surgery

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