Poster No:
2050
Submission Type:
Abstract Submission
Authors:
Ying Wang1, Hao Chen1, Xiaofeng Jiang1
Institutions:
1The First Affiliated Hospital of USTC, HeFei, AnHui
First Author:
Ying Wang
The First Affiliated Hospital of USTC
HeFei, AnHui
Co-Author(s):
Hao Chen
The First Affiliated Hospital of USTC
HeFei, AnHui
Introduction:
Classic trigeminal neuralgia (TN) is an intolerable pain condition characterized by vascular compression of the trigeminal nerve. Microvascular decompression surgery (MVD) has been widely recognized as the most effective treatment option for classic TN in clinical practice (1-4). However, the variability in surgical outcomes remains poorly understood, and no definitive predictive model has been established (5-10). This study aims to explore the central nervous system mechanisms that may help distinguish between effective and ineffective MVD outcomes.
Methods:
In this study, we recruited 30 patients with classic TN who experienced complete relief following MVD surgery (E group), 30 matched patients with limited post-surgical benefits (NE group), and another 30 matched healthy controls (HC). Resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) data were collected from all participants before and after MVD surgery, as well as from all healthy controls. We utilized the "recruitment" index of the fMRI data to characterize intra-communication among peer regions within the same subsystem. We then compared the E group and NE group using HC as a baseline, and assessed whether the patients' recruitment index shifted towards that of the HC post-surgery. Furthermore, we examined the underlying structural basis of functional connectivity, employing MRTrix3.0 to assess fiber quantities between brain regions and TBSS analysis to evaluate the fractional anisotropy (FA) of white matter fiber bundles.
Results:
Our findings revealed that the recruitment index of three brain regions in the E group before surgery (EB) was significantly higher than that of the NE group before surgery (NEB), with HC positioned in the middle. Notably, after surgery, the index in the E group decreased while it increased in the NE group. Additionally, the DTI results demonstrated a reduction in the strength and integrity of white matter fiber tracts in the NEB group.
Conclusions:
Our results suggest that TN may not solely be a peripheral nerve disorder, and the altered functional and structural connectivity observed may provide valuable insights into predicting the outcomes of microvascular decompression surgery for patients with classic trigeminal neuralgia.
Modeling and Analysis Methods:
Connectivity (eg. functional, effective, structural) 2
fMRI Connectivity and Network Modeling
Novel Imaging Acquisition Methods:
BOLD fMRI
Perception, Attention and Motor Behavior:
Perception: Pain and Visceral 1
Keywords:
FUNCTIONAL MRI
Pain
1|2Indicates the priority used for review

·a, Demographic and clinical data were harmonized across the three groups of trigeminal neuralgia patients. b, The VAS score change following surgery in the two groups of TN patients.

·The recruitment of the three groups and the change after the MVD surgery
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Please indicate below if your study was a "resting state" or "task-activation” study.
Resting state
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Patients
Was this research conducted in the United States?
No
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
NOTE: Any human subjects studies without IRB approval will be automatically rejected.
Yes
Were any animal research approved by the relevant IACUC or other animal research panel?
NOTE: Any animal studies without IACUC approval will be automatically rejected.
Not applicable
Please indicate which methods were used in your research:
Functional MRI
Structural MRI
For human MRI, what field strength scanner do you use?
3.0T
Provide references using APA citation style.
[1]. Karikari, T.K., et al., Commentary: Global, regional, and national burden of neurological disorders
during 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Front Neurol, 2018. 9: p. 201.
[2]. Global, regional, and national burden of neurological disorders during 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Neurol, 2017. 16(11): p. 877-897.
[3]. Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition. Cephalalgia, 2018. 38(1): p. 1-211.
[4]. De Toledo, I.P., et al., Prevalence of trigeminal neuralgia: A systematic review. J Am Dent Assoc,
509 2016. 147(7): p. 570-576.e2.
[5]. Barker, F.N., et al., The long-term outcome of microvascular decompression for trigeminal neuralgia. N Engl J Med, 1996. 334(17): p. 1077-83.
[6]. Andersen, A., et al., Microvascular decompression in trigeminal neuralgia - a prospective study of 115 patients. J Headache Pain, 2022. 23(1): p. 145.
[7]. Broggi, G., et al., Microvascular decompression for trigeminal neuralgia: comments on a series of 250 cases, including 10 patients with multiple sclerosis. J Neurol Neurosurg Psychiatry, 2000. 68(1): 516 p. 59-64.
[8]. Gunther, T., et al., Microvascular decompression for trigeminal neuralgia in the elderly: long-term treatment outcome and comparison with younger patients. Neurosurgery, 2009. 65(3): p. 477-82; discussion 482.
[9]. Herta, J., et al., Microvascular decompression in trigeminal neuralgia: predictors of pain relief, complication avoidance, and lessons learned. Acta Neurochir (Wien), 2021. 163(12): p. 3321-3336.
[10]. Holste, K., et al., Pain Outcomes Following Microvascular Decompression for Drug-Resistant Trigeminal Neuralgia: A Systematic Review and Meta-Analysis. Neurosurgery, 2020. 86(2): p. 182-190.
No