Chengwei Fu1, Yue Zhang2,3, Kan Deng4, Xiance Zhao5, and Bo Liu2,3
1Department of Rehabilitation, Sir Run Run Shaw Hospital,School of Medicine, Zhejiang University, Hangzhou, China, 2the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China, 3Guangzhou University of Chinese Medicine, Guangzhou, China, 4Philips Healthcare, Guangzhou, China, 5Philips Healthcare, Shanghai, China
Synopsis
Keywords: fMRI Analysis, fMRI (resting state), ALFF, taVNS
Motivation: A growing body of evidence suggests that taVNS may improve the motor function of PD patients whereas little is known about the neuropathologic mechanism.
Goal(s): To explore the potential mechanism of taVNS in treating PD by rs-fMRI.
Approach: Fifty patients with PD underwent three times fMRI scanning. And the difference in ALFF among the baeline state,real taVNS and sham taVNS state were investigated.
Results: Compared with baseline and sham taVNS state, the ALFF value showed a significant decrease in 5 clusters. Pearson correlation analysis indicated ALFF of SPL_r in real taVNS condition was negatively correlated with the total UPDRS score, UPDRS-Ⅲscore and PDQ.
Impact: The
taVNS may produce treatment effects by modulating the abnormal ALFF of sensorimotor network,salience network and visual network. This may shed light
on the neural mechanisms underlying taVNS treatment of PD.
Introduction
Parkinson's
disease (PD) is the fastest growing neurodegenerative disease in prevalence,
disability, and deaths which led to the global burden of PD increased more than
doubled in the past 20 years [1,2]. Consequently, to address this
great health burden, it requires action aimed at delaying the development of
exacerbation and improving the quality of life of patients. Transcutaneous
auricular vagus nerve stimulation (taVNS) is a non-invasive brain stimulation technique
which can regulate the function of brain by stimulating the cervical or
auricular branch of vagus nerve. Some studies have evaluated the feasibility of
taVNS in improving motor function of PD patients and found it might be useful
[3,4,5]. However, the underlying neural mechanism of taVNS in treating PD
is still not fully clarified. Resting-state functional magnetic resonance
imaging (rs-fMRI) is a potential neuroimaging technique which is used to study
the intrinsic neurological activity of human-race. Therefore, this study aimed
to explore the potential mechanism of taVNS in treating PD by rs-fMRI. Methods
A
total of 50 participants diagnosed with PD were included in the study from
April 2021 to October 2022. All participants were assessed using Movement
Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS). In
addition, quality of life and non-motor symptoms were evaluated by Parkinson's
Disease questionnaire (PDQ), and non-motor symptoms scale (NMSS) respectively. To
complete the experimental paradigm, we used an electric device (Hwato, SDZ-IIB,
Suzhou, China) with an improved stimulator. All participants underwent 3D high
resolution T1-weighted sequence and three times fMRI scan (Figure 1) on a 3.0-T Philips
Ingenia MR scanner with a standard 32-channels head coil. Functional images
were obtained with the following parameters: (acquisition time = 486 s, matrix
= 64 × 61 × 38 slices, TR = 2000 ms, TE = 30 ms, slice gap = 0.25 mm, dynamic
scans = 240, flip angle=90°, FOV = 240 × 240 × 142, voxel size = 3.75 × 3.75 ×
3.5 mm).
Functional
images were preprocessed by CONN 21.0. After the preprocessing, a band-pass
filter (0.01-0.08 Hz) was applied to extract the time series of each voxel
and converted them to frequency domain using fast Fourier transform. The amplitude of low frequency fluctuation (ALFF) value is defined as the square root of the power spectrum. Lastly, a Z-score
transformation was used to the ALFF for following statistical analysis.
One-way
ANOVA was used to evaluate difference of ALFF among the conditions. The
statistical significance threshold was defined as p < 0.001 (voxel level,
uncorrected) and p < 0.05 (cluster level, GRF corrected). Then, we extracted
ALFF value of each cluster in every condition for post-hoc in SPSS 24.0. Only
the cluster whose ALFF value in real taVNS condition had statistical difference
with both sham taVNS and baseline, we would analyze the correlation between the
ALFF value and clinical scales using Pearson correlation. A threshold of p <
0.05 (Bonferroni corrected) was applied for multiple comparisons in correlation
analysis.Results
After
conducting one-way ANOVA, a total of 9 clusters with significant difference
among the conditions were found (Table 1). Then, we extracted the ALFF value of
each cluster in every condition to perform post-hoc. The results showed that
compared with baseline condition and sham taVNS condition, the ALFF value of 5
clusters showed a significant decrease in real taVNS condition including right
middle occipital gyrus (MOG_r), right precentral gyrus (PreCG_r), right
postcentral gyrus (PoCG_r), right superior parietal Lobule (SPL_r), and right
cuneus (Cuneus_r) (Figure 2, Figure 3). Pearson correlation analysis indicated ALFF of
SPL_r in real taVNS condition was negatively correlated with the total UPDRS
score (r=-0.380, P=0.008, Bonferroni corrected), UPDRS-Ⅲ score (r=-0.417,
P=0.004, Bonferroni corrected), and PDQ (r=-0.381, P=0.008, Bonferroni
corrected) (Figure 4).
Discussion
To
the best of our knowledge, this is the first study to explore the instant
modulatory effects of transcutaneous vagus nerve stimulation on patients with
Parkinson disease. We found taVNS can decrease the ALFF value of right SPL,
right PreCG, right PoCG, right MOG and right cuneus in patients with PD. Meanwhile,
the ALFF value of right SPL in real taVNS condition was negatively correlation
to UPDRS total score, UPDRS-Ⅲ score and PDQ score.These
results suggest that real taVNS may effectively relieve motor symptoms of PD by
modulating network overavtivity, which widely involved the sensorimotor
network, salience network and visual network.Conclusion
The
taVNS may produce treatment effects by modulating the abnormal ALFF of sensorimotor network, salience network and visual network. This may shed light
on the neural mechanisms underlying taVNS treatment of PD.Acknowledgements
We
would like to acknowledge the generous support and contribution of all our
trial participants. References
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