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Perivascular Spaces, Diffusivity Along Perivascular Spaces, and Free Water in Cerebral Small Vessel Disease
Hao Li1, Mina A Jacob1, Mengfei Cai1
1From the Department of Neurology (H.L., M.A.J., M.C., F.-E.D.L., A.M.T.), Radboud University Medical Center, Donders Center for Medical Neurosciences, Nijmegen, the Netherlands; Department of Neurology (M.C.), Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China; Donders Institute for Brain (R.P.C.K.), Cognition and Behaviour, Radboud University, Nijmegen; Vincent van Gogh Institute for Psychiatry (R.P.C.K.), Venray; Department of Medical Psychology and Radboudumc Alzheimer Center (R.P.C.K.), Radboud University Medical Center; Donders Institute for Brain (D.G.N.), Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands; Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (M.D.), University of Basel, Switzerland; and Institute for Stroke and Dementia Research (ISD) (M.D.), University Hospital, LMU Munich, Germany.
Background And Objectives:
Previous studies have linked the MRI measures of perivascular spaces (PVSs), diffusivity along the perivascular spaces (DTI-ALPS), and free water (FW) to cerebral small vessel disease (SVD) and SVD-related cognitive impairments. However, studies on the longitudinal associations between the three MRI measures, SVD progression, and cognitive decline are lacking. This study aimed to explore how PVS, DTI-ALPS, and FW contribute to SVD progression and cognitive decline.
Methods:
This is a cohort study that included participants with SVD who underwent neuroimaging and cognitive assessment, specifically measuring Mini-Mental State Examination (MMSE), cognitive index, and processing speed, at 2 time points. Three MRI measures were quantified: PVS in basal ganglia (BG-PVS) volumes, FW fraction, and DTI-ALPS. We performed a latent change score model to test inter-relations between the 3 MRI measures and linear regression mixed models to test their longitudinal associations with the changes of other SVD MRI markers and cognitive performances.
Results:
In baseline assessment, we included 289 participants with SVD, characterized by a median age of 67.0 years and 42.9% women. Of which, 220 participants underwent the follow-up assessment, with a median follow-up time of 3.4 years. Baseline DTI-ALPS was associated with changes in BG-PVS volumes (β = -0.09, p = 0.030), but not vice versa (β = -0.08, p = 0.110). Baseline BG-PVS volumes were associated with changes in white matter hyperintensity (WMH) volumes (β = 0.33, p-corrected < 0.001) and lacune numbers (β = 0.28, p-corrected < 0.001); FW fraction was associated with changes in WMH volumes (β = 0.30, p-corrected < 0.001), lacune numbers (β = 0.28, p-corrected < 0.001), and brain volumes (β = -0.45, p-corrected < 0.001); DTI-ALPS was associated with changes in WMH volumes (β = -0.20, p-corrected = 0.002) and brain volumes (β = 0.23, p-corrected < 0.001). Furthermore, baseline FW fraction was associated with decline in MMSE score (β = -0.17, p-corrected = 0.006); baseline FW fraction and DTI-ALPS were associated with changes in cognitive index (FW fraction: β = -0.25, p-corrected < 0.001; DTI-ALPS: β = 0.20, p-corrected = 0.001) and processing speed over time (FW fraction: β = -0.29, p-corrected < 0.001; DTI-ALPS: β = 0.21, p-corrected < 0.001).
Discussion:
Our results showed that increased BG-PVS volumes, increased FW fraction, and decreased DTI-ALPS are related to progression of MRI markers of SVD, along with SVD-related cognitive decline over time. These findings may suggest that the glymphatic dysfunction is related to SVD progression, but further studies are needed.
Insights
Cerebral small vessel disease (SVD) progression is linked to increased perivascular spaces (PVS) and free water (FW), and decreased diffusivity along the perivascular spaces (DTI-ALPS). These MRI markers predict cognitive decline in SVD patients over time.
Area of Science:
- Neuroimaging
- Cerebrovascular Diseases
- Cognitive Neurology
Background:
- Cerebral small vessel disease (SVD) is associated with cognitive impairments.
- MRI measures like perivascular spaces (PVS), diffusivity along the perivascular spaces (DTI-ALPS), and free water (FW) are linked to SVD.
- Longitudinal studies on these MRI markers, SVD progression, and cognitive decline are limited.
Purpose of the Study:
- To investigate the longitudinal associations between PVS, DTI-ALPS, and FW.
- To determine how these MRI markers contribute to SVD progression.
- To explore their impact on cognitive decline in SVD patients.
Main Methods:
- A cohort study of 289 SVD participants with baseline and follow-up neuroimaging and cognitive assessments (MMSE, cognitive index, processing speed).
- Quantification of basal ganglia PVS (BG-PVS) volumes, FW fraction, and DTI-ALPS.
- Latent change score and linear regression mixed models were used to analyze inter-relations and longitudinal associations.
Main Results:
- Increased BG-PVS, FW fraction, and decreased DTI-ALPS were associated with progression of SVD MRI markers (WMH, lacunes, brain volume).
- Baseline FW fraction correlated with MMSE score decline.
- Both FW fraction and DTI-ALPS predicted changes in cognitive index and processing speed over time.
Conclusions:
- Elevated BG-PVS, increased FW, and reduced DTI-ALPS are associated with SVD progression and cognitive decline.
- These findings suggest a role for glymphatic dysfunction in SVD progression.
- Further research is warranted to confirm these associations and explore therapeutic implications.
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