Yang Liu1,2,3, Pengfei Zhang1,2,3, Kai Ai4, Yan Li Jiang1,2,3, Guangyao Liu1,2,3, and Jing Zhang1,2,3
1Second Clinical School, Lanzhou University, lanzhou, China, 2Department of Magnetic Resonance, Lanzhou University Second Hospital, lanzhou, China, 3Gansu Province Clinical Research Center for Functional and Molecular Imaging, lanzhou, China, 4Philips Healthcare, Xi’an, China
Synopsis
Keywords: Parkinson's Disease, Parkinson's Disease
Motivation: The influence of gender on the brain morphology of PD-RBD patients remains unclear.
Goal(s): We aimed to investigate gender differences in PD-RBD patients in terms of cortical morphology and individual structural covariance network.
Approach: We firstly conducted volume- and surface-based morphometry analyses, followed by further exploration of the topological characteristics of individual level morphological similarity networks based on Kullback-Leibler Divergence.
Results: Male patients presented decreased cortical indicators in salience, along with increased volume, cortical complexity and sulcus depth increase. Furthermore, in the individual morphological networks, we found significant differences between male and female patients in terms of both global and nodal properties.
Impact: PD-RBD patients exhibit significantly gender-specific differences in brain morphology and covariant patterns, which may reflect distinct clinical treatment needs and disease progression patterns. Further exploration is needed to enhance clinical management efficiency.
Introduction
Parkinson's
disease (PD) is highly heterogeneous, especially with significant clinical and brain
differences between different genders. Rapid eye movement sleep behavior
disorder (RBD) is associated with a more severe presentation of PD1,2.
However, the influence of gender on the brain morphology of PD-RBD patients
remains unclear. This study aims to conduct an integrated analysis of Voxel- and
Surface-Based Morphometry (VBM and SBM), subsequently construct
individual-level morphological similarity networks.Methods
Baseline
structural MRI data and RBD Questionnaire
Screening (RBDQS) scores were obtained from 73 PD patients with comorbid RBD (51 males and 22 females), sourced from the Parkinson's Progression Markers
Initiative dataset3(Table1).3D-T1WI data were acquired using a 3.0 Tesla
MRI scanner.
VBM and SBM analyses were performed using CAT12
through standard procedures. In VBM analysis, GM maps were smoothed using an 8mm Gaussian kernel. In SBM
analysis, fractal dimension (FD), gyrification index (GI), sulcal depth (SD),
and cortical thickness (CT) and Torsion GI (toroGI) were obtained4,
with a 12mm smoothing kernel applied to CT images and a 20mm smoothing kernel
applied to the remaining images. In the morphological network,68brain regions
were defined based on the DK40 atlas5.Symmetric similarity measures
based on KL divergence were computed as edge weights6.
The topological properties of each cortical network were calculated using
GRETNA (sparsity threshold range:0.063–0.4, step size0.01)7. Both
global properties (Small-worldness and Efficiency) and nodal properties
(Efficiency (Ne), Degree Centrality (Dc), and Betweenness
Centrality (Bc)) were computed. Inter-group comparisons of VBM and SBM
maps were conducted using two-sample t-tests (FWE, voxel/vertex level P<0.001, cluster level P<0.05), and group differences in graph theory metrics were assessed using
non-parametric permutation tests (10,000 permutations) with FDR correction for
nodal metrics. Age and education were considered as covariates, and total
intracranial volume was included as a covariate in VBM analysis.Results
In
PD-RBD patients, VBM analysis revealed that males exhibited increased grey
matter volume (GMV) in the bilateral Cerebellum_Crus1and the left Calcarine regions
compared to females (Table2). SBM analysis showed that males had larger SD in the
bilateral fusiform, inferior temporal, parahippocampal, lingual, and the right
entorhinal gyrus than females. Higher toroGI
in the bilateral postcentral, right insula, precentral, pars opercularis, and
pars triangularis, and the left superior parietal, paracentral, precuneus, and
inferior temporal gyrus were found in male patients (Figure1). Global property analysis
indicated that in the FD network, males exhibited reduced local efficiency (Eg),
σ, γ, and clustering coefficient (Cp) with increased path
length (Lp). In the SD network, males had higher σ and γ.
Differences in nodal properties were observed in the toroGI network. Specifically,
males had higher Dc and Ne in the bilateral pars opercularis, the left superior
parietal, rostral middle frontal, and the right medial orbitofrontal regions
compared to females. Conversely, males exhibited larger Dc and Ne
in the right inferior parietal, and the left insula, and parahippocampal
regions compared to females (Figure2-3).Discussion
This
study primarily focused on the influence of gender on the brain morphology and structural
covariance network topology in PD-RBD patients. In PD-RBD male patients, higher
GMV in bilateral Cerebellum Crus1 and the left Calcarine region may reflect
adaptations related to motor dysfunction8. Compared to female
patients, male patients exhibited greater SD and toroGI in SBM, involving regions
such as parahippocampal, lingual, insula, superior parietal, and entorhinal gyrus,
which play crucial roles in emotion and cognition. While bilateral postcentral,
precentral, paracentral, and precuneus regions are mainly involved in patients'
motor function. Cortical changes revealed by SBM are associated with both motor
and memory functions, also consistent with previous researches9,10.
Male
and female patients exhibited differences in global properties in the FD and SD
networks. Wherein the FD is related to cortical complexity patterns and the SD is
associated with neural fiber bundles. Changes in the integration of
morphological similarity networks may further reflect deep white matter impairments.
Male patients showed stronger integration in the FD network, while in female
patients, it was found in the SD network. These results suggest that FD and SD
are sensitive to network changes in male and female patients, respectively.
Significant differences also existed in nodal properties of toroGI network.
ToroGI, as an improved parameter of GI, may help identify local disruptions in
patients of different genders, warranting further exploration of its potential value
in disease differentiation and predication.Conclusion
There
are significant gender-specific morphological differences in the motor and
cognition-related regions of PD-RBD patients, which may further reflect the neuropathologic
basis of clinical symptoms and be related to disease progression and treatment
needs. FD, SD, and toroGI may be sensitive in revealing gender differences in PD-RBD
patients.Acknowledgements
This work was supported by the
Natural Science Foundation of China (No. 81960309), Gansu Province Clinical
Research Center for Functional and Molecular Imaging (No. 21JR7RA438) and Gansu
Provincial Science and Technology Program Projects (Key Research and Development Program No. 23YFFA0041).References
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