Jing Yang1, Du Lei2, Xueling Suo3, Jiaxin Peng4, Rong Peng4, and Qiyong Gong3
1Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, sichuan, China, 2Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States, 3Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China, 4Department of Neurology, West China Hospital of Sichuan University, Chengdu, China
Synopsis
Present neuroradiological studies demonstrated significant alterations in
surface-based morphology in patients with essential tremor (ET) relative to healthy controls (HC).
The current study was achieved by exploring the abnormal brain morphological
features of patients with ET by using three-dimensional T1-weighted imaging, as
well as the relationship between demographic/clinical variables and affected
structural cortical features. We found that ET patients showed significant
structural changes both in the motor and non-motor brain regions and some
abnormities were correlated with the clinical scales. Further, abnormalities
attributed to ET can also be affected by various demographic and clinical
variables.
INTRODUCTION
Some
neuroimaging studies based on surface morphometric analyses provided precise
information about underling essential tremor (ET)-related mechanisms 1, 2. However, few
studies have comprehensively described the comprehensive surface
characteristics of the whole brain to further prove the differences between ET
patients and healthy control (HC).METHODS
Informed
consent was provided, and the prospective study was approved by the ethics
committee of the West China Hospital. Recruited were 36 patients with ET and 37
HC (Table 1). All participants underwent scanning in a 3.0 tesla whole-body MRI
system (Tim Trio; Siemens Healthineers, Erlangen, Germany) with an 8-channel
phased array head coil to obtain a high-resolution 3D-T1 weighted structure
image. Cortical thickness, volume and area were analyzed with FreeSurfer 6.0.0 software
based on the raw data. Statistical differences between patient group and HC group
were evaluated with a general linear model. The results were corrected in order
to avoid false positives from repeated comparisons 3. Averaged data from the regions with volumetric
or cortical thickness/area differences between groups were extracted in each
individual to examine correlations between morphometric measures and clinical
profiles.RESULTS
Patients
with ET showed reduced cortical thickness in bilateral inferior parietal gyrus,
bilateral supramarginal lobe, left inferior/superior temporal lobe, right precuneus
and right postcentral cortex. Reduced cortical volume in bilateral superior
frontal gyrus and right inferior parietal gyrus, right lateral occipital lobe.
Moreover, reduced cortical area in left supramarginal gyrus, left superior
frontal gyrus, left lateral occipital gyrus and right precentral gyrus, right
superior frontal gyrus (p<0.05; Monte Carlo null-z simulation
corrected) compared with HC (Figure 1, Table 2). The volume of left superior
frontal gyrus (p=0.005, F=4.674) and the thickness of left inferior
parietal gyrus (p=0.005, F=4.68), left superior temporal lobe (p=0.002,
F=5.439), right supramarginal lobe (p=0.012, F=3.949) showed significant
differences based on the detection of age affect between groups. The area of left
lateral occipital gyrus (p=0.001, F=12.169), left superior frontal gyrus
(p=0.001, F=8.243) and the volume of left superior frontal gyrus (p<0.001,
F=31.884), right inferior parietal gyrus (p<0.001, F=30.475), right
lateral occipital gyrus (p<0.001, F=78.062) exhibited that
significant differences based on the detection of gender affect between groups (Figure 2).
Additionally, ET severity was negatively correlated with cortical thickness of
the left inferior temporal gyrus (r = -0.475, p=0.005), as well as Montreal
Cognitive Assessment was positively correlated with cortical area of the right
lateral occipital gyrus (r=0.438, p=0.011) (Figure 3).DISCUSSION
The
current research revealed a wide range of cortical characteristic deficits in
patients with ET relative to HC. As a multisystem disease, the cortical
characteristic abnormities in primary motor areas and extra motor areas were
both expected in patients with ET, which has been reported by some previous
studies 4, 5. It’s natural to
know that atrophic changes always occur over a chronic course of illness, such
as some pure neurological disorders 6, 7. Moreover, the patterns
of findings in superior frontal, temporal and occipital gyrus were also interesting,
because all of these areas were dispersedly located in different subnetworks,
including default mode network, central executive network and salience networks.
To our knowledge, the finding of these structural alterations has been proved
in some previous studies 8, 9, indicating a potential
structural basis for dysfunction of these subnetworks. Meanwhile, the
significant effects of age and gender on abnormal cortical characteristic of
patients with ET were also detected. With age, the cortical characteristics of
some abnormal brain regions changed significantly more than those of HC. As some reports have shown, the prevalence of ET increases with age 10. Therefore, it is easy to speculate that the
brain abnormalities of ET patients become more common and more serious with the
increase of age. And there are also great differences between male and female
patients, it’s obviously to know that ET is a sex-related disorder
and it’s also higher in male than female to have some positive symptoms 11, which is consistent with our present result,
the cortical characteristic alterations of brain regions in male patients were
more serious than these in female patients. On the other hand, there also
exists some relationships between cortical characteristic abnormities and
clinical scales. The thickness of left-inferior temporal gyrus was negatively
correlated with the Fahn–Tolosa–Marìn Tremor Rating Scale, as well as the area
of right-lateral occipital was positively correlated with the Montreal
Cognitive Assessment. Previous
neuroimage studies have shown consistently that ET is associated with an
extensive involvement of the temporal and occipital gyrus 12, 13, it was consistent with
that in our study. Therefore, we can speculate that the relationship between abnormal
alterations of these regions and the more serious ET symptom could be seen as a
biomarker to lighten the pathology of ET.CONCLUSION
Our
findings exhibited that ET patients showed significant surface-based morphology
alternations when compared with HC, and those alterations were also related to
the severity of ET symptoms. Furthermore, the present relationship between
neuroradiological findings and demographic variable could help to clarify the
pathogenesis of ET and could be potential biomarkers of brain abnormalities.Acknowledgements
The
authors of this report would like to thank the families who participated in
this study.References
1. Prasad S, Shah A, Bhalsing K S, et
al. Clinical correlates of abnormal subcortical volumes in Essential Tremor. J Neural Transm (Vienna). 2019;
126(5): 569-576.
2. Prasad S, Shah
A, Bhalsing K S, et al. Abnormal hippocampal subfields are associated with
cognitive impairment in Essential Tremor.
J Neural Transm (Vienna). 2019; 126(5): 597-606.
3. Genovese C R,
Lazar N A, Nichols T. Thresholding of statistical maps in functional neuroimaging
using the false discovery rate.
Neuroimage. 2002; 15(4): 870-8.
4. Hopfner F, Ahlf
A, Lorenz D, et al. Early- and late-onset essential tremor patients represent
clinically distinct subgroups. Mov
Disord. 2016; 31(10): 1560-1566.
5. Louis E D,
Benito-León J, Bermejo-Pareja F. Self-reported depression and anti-depressant
medication use in essential tremor: cross-sectional and prospective analyses in
a population-based study. Eur J
Neurol. 2007; 14(10): 1138-46.
6. Masaki H,
Watanabe K, Kakeda S, et al. Hippocampal sclerosis without visually detectable
hippocampal MRI abnormalities: automated subfield volumetric analysis. Jpn J Radiol. 2020; 38(11): 1020-1027.
7. Boutzoukas E M,
Crutcher J, Somoza E, et al. Cortical thickness in childhood left focal epilepsy:
Thinning beyond the seizure focus.
Epilepsy Behav. 2020; 102: 106825.
8. Han Q, Hou Y,
Shang H. A Voxel-Wise Meta-Analysis of Gray Matter Abnormalities in Essential
Tremor. Front Neurol. 2018; 9: 495.
9. Benito-Leon J,
Louis E D, Romero J P, et al. Altered Functional Connectivity in Essential
Tremor: A Resting-State fMRI Study.
Medicine (Baltimore). 2015; 94(49): e1936.
10. Benito-León J,
León-Ruiz M. [Epidemiology of essential tremor]. Rev Neurol. 2020; 70(4): 139-148.
11. Sun H, Sun F,
Zhang X Q, et al. The Prevalence and Clinical Characteristics of Essential
Tremor in Elderly Chineses: A Population-Based Study. J Nutr Health Aging. 2020; 24(10): 1061-1065.
12. Cao H, Wang R, Luo
X, et al. A Voxel-Based Magnetic Resonance Imaging Morphometric Study of
Cerebral and Cerebellar Gray Matter in Patients Under 65 Years with Essential
Tremor. Med Sci Monit. 2018; 24:
3127-3135.
13. Cameron E, Dyke J
P, Hernandez N, et al. Cerebral gray matter volume losses in essential tremor:
A case-control study using high resolution tissue probability maps. Parkinsonism Relat Disord. 2018; 51:
85-90.