Kirsten Mary Lynch1, Arthur W Toga1, and Farshid Sepehrband1
1USC Mark and Mary Stevens Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Los Angeles, CA, United States
Synopsis
Perivascular spaces
(PVS) are an important structural feature of the glymphatic system. PVS
enlargement is associated with impaired glymphatic functionality and has been
observed in both normative aging and neurodegenerative disorders; however, it
is unclear how white matter PVS alterations affect neighboring cortical
morphology in cognitively normal subjects. In the present study, we explore the
relationship between PVS enlargement and cortical thickness across the
normative lifespan. We found PVS enlargement preferentially influences cortical
thickness of frontal regions, and this association is observed in children,
adults and the elderly.
Introduction
The glymphatic system
consists of a network of brain vasculature that plays a critical role in waste
clearance and tissue homeostasis [1]. Perivascular spaces (PVS) are a major
component of the glymphatic system and consist of interstitial fluid-filled
cavities that function as low-resistance pathways for CSF flow, enabling the
influx of energy substrates and efflux of waste. Impairment of the brain
clearance system can impede the removal of toxic substances from the brain and pathological
PVS enlargement has been observed in a range of neurological and neurodegenerative
disorders, such as AD [2], traumatic brain injury [3] and stroke [4]. Recently, we have also demonstrated that PVS
enlargement is a feature of normative lifespan changes [5]. However, it is unclear if PVS changes in
cognitively normal subjects reflect pathological alterations that influence
neighboring brain tissue. The purpose of this study is to determine the
relationship between PVS and cortical morphology across the normative lifespan.
We utilize a neuroimaging processing workflow that automatically segments and
quantifies PVS in white matter regions [6] to relate PVS content and cortical thickness in
a large cohort that ranges from childhood to aging in the Human Connectome
Project (HCP) Lifespan cohort.Methods
Neuroimaging
data from 2266 cognitively normal subjects from 8 to 100 years were acquired
through the Lifespan Human Connectome Project (HCP) and includes HCP
Development (HCP-D), HCP Young Adults (HCP-YA), and HCP Aging (HCP-A) (Figure 1). High resolution T1-weighted
(T1w) MPRAGE scans (voxel size: .7-.8 mm isotropic; FOV: 224x224 mm; TI: 1000
ms; TR/TE: 2400/2.14 ms) and T2-weighted (T2w-SPC) scans (voxel size: .7 mm
isotropic; FOV: 224x224 mm; TR/TE: 3200/565 ms) were used for the present
study. There were slight variations in the acquisition parameters for HCP-A and
HCP-D to accommodate the unique challenges of working with young and elderly
populations [7]. PVS segmentation was performed using
the methods described in [6]. Structural MRI data was first
preprocessed using the HCP pipeline [8]. Field bias correction,
co-registration and non-local filtering were applied to the T1 and T2 weighted
images, and we then calculated the T1 divided by T2 weighted image to generate
the enhanced PVS contrast (EPC) [9]. Frangi filters were used to generate
vesselness maps from the EPC and PVS were then automatically segmented and
quantified using optimal thresholding based on expert reviewer manual
segmentations. T1w images were parcellated into regional gray and white matter
regions using Freesurfer (http://surfer.nmr.mgh.harvard.edu/). The PVS volume fraction for each white
matter region was calculated by dividing the PVS volume by the white matter
volume. General linear models were used to determine the relationship between
cortical thickness and the underlying PVS volume fraction with age as a
covariate of no interest. Multiple comparison correction was carried out using
Bonferroni significance thresholding across 28 cortical regions in each
hemisphere, resulting in 56 statistical tests (p<.00089).Results
Age was significantly
associated with mean cortical thickness, B=-.01,
t(2264)=-83.99, p<.001, and PVS
volume fraction, B=2.75x10-4, t(2264)=18.68, p<.001. After
adjusting for age, PVS volume fraction was not significantly associated with
mean cortical thickness in either the right, p=.86, or left hemisphere, p=.69 (Figure 2). Regional analyses showed age-adjusted
cortical thickness for 4 bilateral regions were significantly associated with
the underlying PVS volume fraction following Bonferroni correction (.05/56):
the transverse temporal cortex, left: B=2.46, t(2264)=4.98, p=6.81x10-7, right:
B=1.61, t(2264)=3.66, p=2.6x10-4, lateral orbitofrontal cortex, left: B=-3.57,
t(2264)=-13.89, p=2x10-16, right: B=-3.99, t(2264)=-13.74, p=2x10-16, medial
orbitofrontal cortex, left: B=-4.14, t(2264)=-10.64, p=2x10-16, right: B=-6.13,
t(2264)=-14.52, p=2x10-16, and rostral anterior cingulate cortex, left: B=-4.39,
t(2264)=-13.39, p=2x10-16, right: B=-5.43, t(2264)=-16.43, p=2x10-16 (Figure 3). The cortical thickness of
the right rostral middle frontal cortex, B=-1.26, t(853)=-4.81, p=1.67x10-6,
was also significantly associated with PVS volume fraction after controlling
for age. The relationship between PVS volume fraction and regional age-adjusted
cortical thickness remained significant in cohort-stratified analyses.Discussion
Our results show the
fraction of white matter tissue occupied by PVS is associated with cortical
morphology in a cognitively normal population; however, this effect was not
uniform across the brain. We found increased PVS was associated with increased
cortical thickness in bilateral transverse temporal cortex and decreased
cortical thickness in several bilateral frontal regions, including prefrontal
and anterior cingulate regions. Additionally, these effects were observed
independent of age. Anatomical PVS abnormalities can profoundly impact
glymphatic and vascular function through decreased bulk flow of energy substrates
and waste metabolites [10]. It is possible that PVS enlargement in white
matter regions may occur as a secondary effect of occlusions in upstream
arteries located in the gray matter [11]. Therefore, it is unclear whether white matter PVS
enlargement is a cause or consequence of nearby cortical thickness alterations.Conclusion
The present study
investigated the influence of white matter PVS enlargement on cortical
thickness across the lifespan. We found frontal and temporal regions were selectively
and differentially associated with PVS content. These findings suggest the influence
of PVS enlargement may extend beyond that of glymphatic functionality, and may
affect downstream cellular processes in nearby tissue.Acknowledgements
This work was supported by National Institutes of Health grant number P41EB015922 and the National Institute of Mental Health of the NIH Award Number RF1MH123223.References
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