ArticleFrontiers in aging neuroscience2025
Quantitative assessment of brain glymphatic imaging features using deep learning-based EPVS segmentation and DTI-ALPS analysis in Alzheimer's disease.
Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- From Single-Modal to Multi-Modal Artificial Intelligence in Alzheimer's Disease: A Systematic Review of Databases, Modalities, Diagnostic Performance, and Clinical Translation Challenges.Sensors (Basel, Switzerland) · 2026Pooled it
- Glymphatic dysfunction in Alzheimer's disease: a systematic review and meta-analysis of the DTI-ALPS index as an imaging biomarker.Frontiers in aging neuroscience · 2026Pooled it
- Imaging biomarkers of glymphatic system dysfunction in Alzheimer's disease: a systematic review and meta-analysis with a focus on DTI-ALPS index.Frontiers in aging neuroscience · 2026Pooled it
- Imaging study of white matter microstructural damage and glymphatic system dysfunction in patients with primary insomnia: a combined analysis based on PSMD, DTI-ALPS, and EPVS.Quantitative imaging in medicine and surgery · 2026Article
- A Quantitative Assessment of MRI-Visible Perivascular-Space Burden Across the Cognitive Spectrum: Associations with APOE ε4 Status and Venous Sinus Volume.Diagnostics (Basel, Switzerland) · 2026Article
- Serial failure of the brain clearance continuum in Alzheimer's disease: mechanisms and therapeutic perspectives.Journal of neurology · 2026Review
- Physical exercise as a non-pharmacological strategy to enhance glymphatic function.IBRO neuroscience reports · 2026Review
- Diffusion tensor image analysis along the perivascular space index alterations in Alzheimer's disease: associated with cerebrospinal fluid Aβ40 and cognition.Brain imaging and behavior · 2026Article
- Targeting the Sleep-Glymphatic-Vascular Continuum in Cerebral Small Vessel Disease: A Nutritional Perspective on Neuroprotective Potential of Tocotrienols (T3).Life (Basel, Switzerland) · 2026Review
- Barrier-Immune Gating Failure in Gut-Brain Neuroinflammation: A Working Hypothesis and Conceptual Framework.Behavioural neurology · 2026Review
- Glymphatic System Dysfunction Associated with Inflammatory Factors in Asymptomatic Neurosyphilis.Current medical imaging · 2026Article
- Assessing glymphatic-associated fluid dynamics in psychiatric disorders: evidence from neuroimaging - a review.Psychoradiology · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study aimed to quantitatively evaluate brain glymphatic imaging features in patients with Alzheimer's disease (AD), amnestic mild cognitive impairment (aMCI), and normal controls (NC) by applying a deep learning-based method for the automated segmentation of enlarged perivascular space (EPVS) and diffusion tensor imaging analysis along perivascular spaces (DTI-ALPS) indices. Methods: A total of 89 patients with AD, 24 aMCI, and 32 NCs were included. EPVS were automatically segmented from T1WI and T2WI images using a VB-Net-based model. Quantitative metrics, including total EPVS volume, number, and regional volume fractions were extracted, and segmentation performance was evaluated using the Dice similarity coefficient. Bilateral ALPS indices were also calculated. Group comparisons were conducted for all imaging metrics, and correlations with cognitive scores were analyzed. Results: VB-Net segmentation model demonstrated high accuracy, with mean Dice coefficients exceeding 0.90. Compared to the NC group, both AD and aMCI groups exhibited significantly increased EPVS volume, number, along with reduced ALPS indices (all Conclusion: The integration of deep learning-based EPVS segmentation and DTI-ALPS analysis enables multidimensional assessment of glymphatic system alterations, offering potential value for early diagnosis and translation in neurodegenerative diseases.
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