Enlarged perivascular spaces are associated with brain microangiopathy and aging in multiple sclerosis
Serena Borrelli1, François Guisset2, Colin Vanden Bulcke3
1Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium/Department of Neurology, Hôpital Erasme, Hôpital Universitaire de Bruxelles, Université Libre de Brussels, Brussels, Belgium.
Background:
Growing evidence links brain-MRI enlarged perivascular spaces (EPVS) and multiple sclerosis (MS), but their role remains unclear.
Objective:
This study aimed to investigate the cross-sectional associations of EPVS with several neuroinflammatory and neurodegenerative features in a large multicentric-MS cohort.
Methods:
In total, 207 patients underwent 3T axial-T2-weighted brain-MRI for EPVS assessment (EPVS dichotomized into high/low according to ⩾ 2/< 2 rating categories). MRI biomarkers included brain-predicted age and brain-predicted age difference (brain-PAD), central vein sign (CVS)-positive lesion percentage (CVS%), paramagnetic rim and cortical lesions, T2-lesion load, and brain volumetry. The variable relative importance for EPVS-category prediction was explored using a classification random forest approach.
Results:
High EPVS patients were older (49 vs 44 years, p = 0.003), had ⩾ 1 vascular risk factors (VRFs; p = 0.005), lower CVS% (67% vs 78%, p < 0.001), reduced brain volumes (whole brain: 0.63 vs 0.73, p = 0.01; gray matter: 0.36 vs 0.40; p = 0.002), and older brain-predicted age (58 vs 50 years, p < 0.001). No differences were found for neuroinflammatory markers. After adjusting for age and VFRs (multivariate analyses), the high EPVS category correlated with lower CVS% (odds ratio (OR) = 0.98, 95% confidence interval (CI) = 0.96-0.99; p = 0.02), lower whole brain (OR = 0.01, 95% CI = 0.0003-0.5; p = 0.02), gray matter (OR = 0.0004, 95% CI = 0.0000004-0.4; p = 0.03) volumes, and higher brain-PAD (OR = 1.05, 95% CI = 1.01-1.09; p = 0.02). Random forest identified brain-PAD as the most important predictor of high EPVS.
Conclusion:
EPVS in MS likely reflect microangiopathic disease rather than neuroinflammation, potentially contributing to accelerated neurodegeneration.
Insights
Enlarged perivascular spaces (EPVS) in multiple sclerosis (MS) are linked to microangiopathic disease, not neuroinflammation. High EPVS correlates with accelerated neurodegeneration and brain aging, suggesting a role in MS progression.
Area of Science:
- Neuroimaging
- Neurology
- Radiology
Background:
- Growing evidence links enlarged perivascular spaces (EPVS) on brain MRI with multiple sclerosis (MS).
- The specific role of EPVS in MS pathogenesis remains unclear.
- This study investigates the association between EPVS and key MS features.
Purpose of the Study:
- To examine the cross-sectional relationship between EPVS and neuroinflammatory/neurodegenerative markers in a large, multicenter MS cohort.
- To identify predictors of high EPVS burden in MS patients.
Main Methods:
- 207 MS patients underwent 3T brain MRI for EPVS assessment, dichotomized into high (>=2) and low (<2) categories.
- MRI biomarkers included brain-predicted age difference (brain-PAD), central vein sign (CVS%), lesion load, brain volumetry, and cortical lesions.
- A classification random forest approach was used to determine the relative importance of variables in predicting EPVS category.
Main Results:
- Patients with high EPVS were older, had more vascular risk factors, lower CVS%, reduced brain volumes, and older brain-predicted age.
- After adjusting for age and vascular risk factors, high EPVS correlated with lower CVS%, reduced brain volumes, and higher brain-PAD.
- Random forest analysis identified brain-PAD as the most significant predictor of high EPVS.
Conclusions:
- EPVS in MS likely represent microangiopathic disease rather than neuroinflammation.
- EPVS may contribute to accelerated neurodegeneration in multiple sclerosis.
- Brain-PAD is a key predictor of high EPVS burden in MS.
Related Concept Videos
Multiple Sclerosis l: Introduction
Cerebral Edema ll: Pathophysiology
Dementia l: Introduction


