Boyu Zhang1,2,3, Yajing Huo4, Zidong Yang5,6, Shuai Xv1,2, Yuchen Liu1,2, Rencheng Zheng1,2, Ying-Hua Chu7, Yan Han4, and He Wang1,2,8
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China, 3Department of Materials Science, Fudan University, Shanghai, China, 4Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China, 5USC Viterbi School of Engineering, University of Southern California, Shanghai, China, 6Laboratory of FMRI Technology, USC Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Shanghai, China, 7MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, 8Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China
Synopsis
Keywords: Dementia, Dementia, cerebral small vessel disease, glymphatic system
Motivation: Both cerebral small vessel disease (CSVD) and disfunction of glymphatic system contribute to cognition decline, yet the interactions between them remains unclear.
Goal(s): Identify associations of glymphatic function with cognitive function and CSVD.
Approach: 111 CSVD subjects were involved and underwent 7T MRI scans. CSVD makers, neuropsychological test and clinical characteristics were collected. Linear regression and mediation model were used to access the associations.
Results: Age and CSVD markers were associated with glymphatic function in the multivariable model. The relationship between glymphatic function and cognition was mediated by CSVD burden.
Impact: MRI-derived glymphatic features might
be utilized to predict early CSVD-induced cognitive decline.
Introduction
The glymphatic system is a pivotal component in
the central nervous system responsible for clearing metabolic waste, and its wellness
is crucial for cognitive function and overall brain health1. Diffusion-weighted
MRI has emerged as a minimally invasive method to assess glymphatic function by
measuring diffusion Along the Perivascular Space (DTI-ALPS) index2. Previous research
has established a correlation between this MRI feature and factors such as
cognition, Alzheimer's disease, and cerebral small vessel disease (CSVD)3,4, however, the
complex interactions involved remain unclear. This study aims to systematically
evaluate the associations of glymphatic function with cerebrovascular risk
factors, cognitive function and various imaging markers of CSVD. Moreover, mediation
analysis models are used to evaluate potential pathophysiological linkages.Methods
This study was approved by the local ethics
committee. Subjects in this study were part of an ongoing
single-center prospective longitudinal 7T MRI study5. All individuals
underwent multimodality MRI with one 7.0T scanner (MAGNETOM Terra, Siemens
Healthcare, Erlangen, Germany) using a 32-channel brain phased array coil. The
MRI protocol included: (1) T1-weighted 3D-MP2RAGE sequence with the following
parameters: voxel size=0.7×0.7×0.7mm3, TR/inversion time/TE=3800/2.27/2700; (2)
3D FLAIR sequence with the following parameters: voxel size=0.7×0.7×0.7mm3, TR/TE=9000/270ms,
flip angle=120; (3) SWI sequence with the following parameters: pixel
size=0.12×0.12 mm2, slice thickness=1.5mm with no gap between slices, TR/TE=21/9.54ms,
flip angle=10. (4) Diffusion sequence with the following parameters: voxel
size=1.4×1.4×1.4mm3, TR/TE=4200/67ms, flip angle=90, b value=0/1000/2000 s/mm2,
direction = 64. Imaging markers of CSVD, including white matter hyperintensity
(WMH), perivascular space (PVS), lacuna and cerebral microbleed (CMB) were
assessed according to the Standards for Reporting Vascular Changes on
Neuroimaging6. PVS was defined as
a small, sharply delineated structure of cerebrospinal fluid intensity with a
diameter generally <3mm. Lacunas were defined as round or ovoid cavities
ranging 3 to 15mm situated in the basal ganglia, subcortical white matter, or
brainstem. CMBs were defined as round or ovoid black lesions that were <10mm
on SWI. WMHs were rated by the Fazekas visual grading scale7. DTI-ALPS was derived
from diffusion images by the methods in previous studies2. Neuropsychological
test and clinical characteristics were collected by trained staff. The neuropsychological
tests including Montreal cognitive assessment (MoCa), Mini Mental State
Examination (MMSE), Auditory Verbal Learning Test (AVLT), Boston Naming Test (BNT)
and Trail Making Test (TMT). General linear model was used to examine the associations
of glymphatic function with cerebrovascular risk factors, cognitive function and
CSVD. To further examine the relationships among glymphatic function, CSVD, and
cognitive function, the mediation analysis was conducted with a linear
single-mediator model8. The mediation
models used CSVD features as the mediator, cognitive function as the response,
and treated BP as the determinant. All the relationships between the
independent variable, mediator, and dependent variable were represented by the
linear model. The significance of the mediation effect was estimated using
bias-corrected and accelerated bootstrapping method with 5000 resamples.Results and Discussion
The characteristics of the subjects are shown
in Figure 1. The study included a cohort of 111 individuals with a mean (SD)
age of 55.3 (11.9) years. As shown in Figure 2, age, diabetes, hypertension, MoCa,
MMSE, AVLT, TMT and all CSVD markers were significantly associated with the glymphatic
function in the bivariable model. However, the multivariate analysis revealed
that glymphatic function was significantly related only to age, summary small
vessel disease (SVD) score, and the presence of lacunes. This suggests that aging remains the predominant factor affecting glymphatic system function9. The impact of the
glymphatic system on cognitive function became insignificant after introducing of
aging, indicating that the relationship between them might be influenced by
other potential intermediate factors. The mediation analysis in this study
offers a potential hypothesis that glymphatic dysfunction may affect cognitive
performance by influencing the CSVD burden. Figure 3 shows a significant
mediation effect where the DTI-ALPS score and MMSE score were mediated by the
summary SVD score and PVS score. The MRI-visible PVS is one of the early markers
of CSVD10, and its
association with cognitive function, indicated by its closer correlation to the
PVS score than to the summary SVD score (with significant correlations to both
MMSE and MoCA), suggests that PVS might be a more sensitive CSVD feature
related to cognition. Furthermore, the intricate connection between the PVS and
the glymphatic system, combined with the pathway findings presented in this
study, offers a potential pathological route regarding the cognition decline at
the imaging level, which might play a significant role in future clinical
diagnostics and interventions.Acknowledgements
We are greatly thankful to all the members in our
research group at Fudan University and Yueyang Hospital who helped to
accomplish the study. This work was supported by the National Natural
Science Foundation of China (No. 81971583, No. 82271956), Shanghai Municipal
Science and Technology Major Project (No. 2018SHZDZX01), National Key R&D
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