Trigeminal neuralgia and persistent idiopathic facial pain (atypical facial pain)

Jay, Gary W.; Barkin, Robert L.

doi:10.1016/j.disamonth.2021.101302

Cited by 4 publications

(1 citation statement)

References 197 publications

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“…Bendtsen reported on 5149 patients with classic TN who underwent microvascular decompression (MVD) surgery and were followed for 3 to 11 years; the authors found that the pain cure rate reached 62 to 89% [6,7]. Alternatively, if there is no vascular compression upon any part of the trigeminus, TN is usually classi ed as [8][9][10], and internal neurolysis (IN) surgery is usually performed with satisfactory treatment e cacy. Internal neurolysis (IN) involves longitudinal incision of the intracranial nerve root to achieve nerve micro destruction and is highly effective at curing ITN and signi cantly reducing the incidence of facial sensory disorders and the degree of numbness [11,12]; therefore, IN has been gradually accepted by an increasing number of scholars [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Development of a neural network model to establish a surgical paradigm for trigeminal neuralgia patients difficult to classify

Wang,

Chen,

Jiang

2024

Preprint

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Backgrounds: Trigeminal neuralgia (TN) is a serious, intense and recurring pain in the sensory distribution of the trigeminal nerve in the face that is associated with decreased quality of life and increased risk of emotional disorders and physical health problems. Theoretically, TN can be divided into the classic type if vascular compression is found upon the trigeminus or the idiopathic type if vascular compression is not found upon any part of the trigeminus. Microvascular decompression (MVD) and internal neurolysis (IN) surgery are usually performed for classic or idiopathic TN, respectively, with satisfactory treatment effects. However, in clinical practice, there are patients with slight vascular contact with the trigeminus, and this is a dilemma when planning surgery because pain might be caused by this contact, which is usually insufficient to cause demyelination of the trigeminal nerve. Therefore, MVD is probably not effective and requires a second surgery, while IN is generally chosen blindly because of the high success rate along with some side effects and injury. Achieving a model with a clearer classifying boundary, especially for these patients, offers better opportunities for improved treatment efficacy. Methods: Toward this goal, in the present study, an SVM model was constructed with resting-state fMRI data from 70 definite CTN and ITN patients. Specifically, these 70 data points were randomly assigned to the training dataset and test dataset. The linear kernel function and 2-fold cross-validation modes of SVM and feature selection were used, and the process was repeated 10 times. Features maintained in all 10 random allocations were defined as final features of the SVM model. Results:We found that four ROI-pair connectivities were robustly effective in classification. With this model, another 16 patients with slight vascular contact who had received IN without model guidance were reclassified; 13 of these patients were classified as CTN and were likely to be appropriate for MVD. Conclusions:Taken together, the results of the present study could guide future clinical work, and TN patients who are difficult to classify could be labeled and returned to the model for improved classification accuracy in clinical use.

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Section: Introductionmentioning

confidence: 99%

Development of a neural network model to establish a surgical paradigm for trigeminal neuralgia patients difficult to classify

Wang,

Chen,

Jiang

2024

Preprint

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Atypical Facial Pain

Waldman

2024

Atlas of Common Pain Syndromes

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Altered brain function in classical trigeminal neuralgia patients: ALFF, ReHo, and DC static- and dynamic-frequency study

Ge,

Wang,

Yan

et al. 2023

Cerebral Cortex

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The present study aimed to clarify the brain function of classical trigeminal neuralgia (CTN) by analyzing 77 CTN patients and age- and gender-matched 73 healthy controls (HCs) based on three frequency bands of the static and dynamic amplitude of low-frequency fluctuation, regional homogeneity, and degree centrality (sALFF, sReHo, sDC, dALFF, dReHo, and dDC). Compared to HCs, the number of altered brain regions was different in three frequency bands, and the classical frequency band was most followed by slow-4 in CTN patients. Cerrelellum_8_L (sReHo), Cerrelellum_8_R (sDC), Calcarine_R (sDC), and Caudate_R (sDC) were found only in classical frequency band, while Precuneus_L (sALFF) and Frontal_Inf_Tri_L (sReHo) were found only in slow-4 frequency band. Except for the above six brain regions, the others overlapped in the classical and slow-4 frequency bands. CTN seriously affects the mental health of patients, and some different brain regions are correlated with clinical parameters. The static and dynamic indicators of brain function were complementary in CTN patients, and the changing brain regions showed frequency specificity. Compared to slow-5 frequency band, slow-4 is more consistent with the classical frequency band, which could be valuable in exploring the pathophysiology of CTN.

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Trigeminal neuralgia and persistent idiopathic facial pain (atypical facial pain)

Cited by 4 publications

References 197 publications

Development of a neural network model to establish a surgical paradigm for trigeminal neuralgia patients difficult to classify

Development of a neural network model to establish a surgical paradigm for trigeminal neuralgia patients difficult to classify

Atypical Facial Pain

Altered brain function in classical trigeminal neuralgia patients: ALFF, ReHo, and DC static- and dynamic-frequency study

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