ArticleScientific reports2026
Perivascular pathology, not macrovascular complexity, governs glymphatic-related dysfunction in preclinical cerebral small vessel disease.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Microstructural Changes in the Corpus Callosum in Different Forms of Sporadic Age-Related Cerebral Small Vessel Disease.Diagnostics (Basel, Switzerland) · 2026Article
- Rodent Models of Alzheimer's Disease: Bridging the Translational Gap Through Systems-Level Integration.Biomedicines · 2026Review
- Multi-Omics Integration in Stroke: Neuroinflammatory Endotypes, Immune Cell Crosstalk, and Precision Biomarker Discovery.International journal of molecular sciences · 2026Review
- Mind the Gut: Cognitive Decline, Microbiota, and Nutrition-Related Modulators in Older Adults with Chronic Kidney Disease.Nutrients · 2026Review
- The Prevalence of Sleep Disorders in Populations with Glymphatic Dysfunction: A Systematic Review and Meta-Analysis.Biology · 2026Review
- Gait performance in cerebral small vessel disease: associations with cognitive and oculomotor function and exploratory mediation analyses.Frontiers in aging neuroscience · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The glymphatic system facilitates brain waste clearance, and its dysfunction has been linked to aging, neurodegeneration, and cerebral small vessel disease (CSVD). Enlarged perivascular spaces (ePVS) are established imaging markers of impaired clearance, while the role of macrovascular architecture, particularly the complexity of the circle of Willis (CoW), remains uncertain. In this cross-sectional study of 60 asymptomatic adults with low-to-moderate vascular risk, CoW complexity was quantified using fractal dimension (Df) analysis, and perivascular diffusivity, an indirect proxy of glymphatic-related activity, was estimated using diffusion tensor image analysis along perivascular space (DTI-ALPS) index, and ePVS burden was stratified as a CSVD marker. CoW complexity was correlated with higher DTI-ALPS and lower ePVS burden, but these relationships did not remain significant after adjusting for age, sex, and vascular risk. In contrast, the presence of ePVS was the strongest and most consistent predictor of reduced DTI-ALPS values, highlighting its central role in impaired fluid dynamics. Thus, ePVS remains the dominant and clinically relevant imaging biomarker of glymphatic-related activity in asymptomatic adults with low-to-moderate vascular risk, providing a potential mechanistic link to early cerebrovascular aging. These findings underscore the importance of microvascular health in maintaining glymphatic function and may guide early biomarkers and preventive strategies in preclinical CSVD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.