pengfei zhang1, jun wang1, shaoyu wang2, and jing zhang1
1LanZhou University Second Hospital, LanZhou, China, 2MR Scientific Marketing, ShangHai, China
Synopsis
Based on rest-state fMRI, we investigated the changes of regional neural activity in trigeminal Neuralgia (TN) patients via analysis of regional homogeneity (ReHo).
Furthermore, the alterations of dynamic functional connectivity was explored. Compared with healthy controls , brain
regions with significant ReHo value changes in TN patients are mainly concentrated in default mode network (DMN) and
Ventral attention Network(VAN). Dynamic analysis suggested four distinct
connectivity ‘States’ across the entire group. Our results demonstrated that TN
is associated with abnormal neuronal activities in different areas of the brain
and dynamic functional connectivity between functional networks.
Introduction
Trigeminal neuralgia (TN) is characterized by
paroxysmal, electric, lancinating pains, and a variety of sensory experiences.[1]
According to current opinion, TN is caused by a proximal nuerovascular
compression at the trigeminal nerve root entry zone in the prepontine cistern
leading to secondary demyelination of trigeminal nerve root.[2] But now
mounting evidence confirms that central nervous system abnormalities are
closely related to chronic pain, although the role of the central systemin the
pathophysiology of TN remains unclear.[3]
With the development of functional MRI (fMRI),
Regional homogeneity (ReHo) and dynamic functional connectivity (dFC) have been
applied in several diseases.[4-6] Functional connectivity
abnormalities, such as default mode network (DMN), have been reported
previously in TN of which chronic pain is a common symptom. It has to be said
that the current focus on dFC in TN patients is limited. To further
understand the neurophysiological mechanisms of TN, our team used the ReHo and
dFC method to identify neural activity changes, as well as the differences in
dynamic connectivity in TN.Methods
24 patients with TN and 24 healthy control
(HC) subjects with matched age, sex- and education were enrolled in this study.
Two cohorts then underwent rest-state functional MRI (rest-fMRI) scanning on a
3T MR scanner (MAGNETOM Verio, Siemens Healthcare, Erlangen, Germany) with a
8-channel head coil, The parameters about rest-fMRI were as bellow: scanned
field of view (FOV) =200 mm*200 mm, matrix of the exported image=64*64,
repetition time (TR)=2,000ms, echo time (ET)=30ms, with a voxel size = 3.125
mm*3.125 mm*4 mm with a gap of 1.2 mm.We used MRIcro to include and exclude the
obtained functional data, and then used statistical parameter mapping (SPM8)
and Data Processing Assistant for Resting-State fMRI advanced edition (DPARSFA)
software to evaluate it. Besides, we also have a study of dFC based on the GIFT
(Group ICA of fMRI Toolbox) by a sliding-window approach.Results
Compared with the control group, patients with TN showed a significant ReHo
value increases in the bilateral inferior
temporal gyrus, left cerebellum, inferior parietal lobule, middle frontal
gyrus, supra marginal, precuneus, but decreases in the anterior
cingulate, lateral cingulate gyrus (Voxel level, P<0.05, FWE correction).
Furthermore, DMN, auditory network (AUD),
visual network (VIS), and ventral attention network (VAN) constitute the
functional networks. According to the results of dynamic analysis, we know that
there are four distinct connectivity ‘states’ in the whole group. Compared with
HC subjests, the proportion of patients with state III increases, while the
proportion of state IV decreases. In addition, TN group networks connections (VIS-VAN,
AUD-VIS, DMN-VIS) were reduced.Discussion and Conclusion
Our study indicates that TN patients
exhibited significantly abnormal spontaneous brain activity in several brain regions
that are involved in pain modulation and perceptions. Furthermore, Chronic pain
in TN is characterized by altered temporal properties in dynamic connectivity. These
findings on dynamic functional connectivity need to be validated in a longer
study which is conducive to a deeper understanding of the functional
dysfunction of TN.Acknowledgements
No Acknowledgements found.References
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