SynthesisCNS neuroscience & therapeutics2025
Diffusion Tensor Imaging Along the Perivascular Space Is a Promising Imaging Method in Parkinson's Disease: A Systematic Review and Meta-Analysis Study.
Synthesis in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- DTI-ALPS as a marker of glymphatic function: Review of the literature findings, methodology, and interpretation.Neuroimage. Reports · 2026Article
- The glymphatic system and Parkinson's disease: a narrative review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Diffusion tensor imaging analysis along the perivascular space suggests impaired glymphatic clearance in Lewy body dementia subtypes.Alzheimer's research & therapy · 2026Article
- Altered perivascular space diffusivity dynamics in motor neuron disease.Brain communications · 2026Article
- Diagnostic utility of biomarkers in progressive supranuclear palsy: toward a biotyping framework.Journal of neurology · 2025Review
- A systematic review and meta-analysis on glymphatic flow dysfunction in Parkinson's disease and Parkinsonism spectrum.NPJ Parkinson's disease · 2025Article
- The left DTI-ALPS index: a potential glymphatic mediator of cognitive and motor dysfunction in Parkinson's disease.Frontiers in medicine · 2025Article
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Authors and funding
4 authors.
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Abstract
introductionParkinson's disease (PD) is a chronic, progressive neurodegenerative disorder that primarily affects motor functions. Recently, a diffusion tensor imaging technique called DTI along the perivascular space (DTI-ALPS) has gained attention as a noninvasive biomarker for glymphatic function. This systematic review and meta-analysis aimed to evaluate the potential and implications of the DTI-ALPS index for diagnosing PD.
methodsThis study followed the PRISMA 2020 statement. Eligible cohort and cross-sectional studies measured the ALPS index in PD patients versus non-PD participants. Web of Science, Medline, Scopus, Embase, Cochrane, PROSPERO, and ICTRP databases were explored until November 14, 2024. Two researchers independently screened studies, extracted data, and assessed the risk of bias using the Newcastle-Ottawa Scale (NOS). The meta-analysis used a random effects model (REM), assessing heterogeneity (I
resultsThis meta-analysis of 11 studies, involving 1462 patients (855 PD, 607 non-PD of both genders), yielded significant findings. The overall ALPS index differed substantially between PD and non-PD groups (SMD: -0.61, 95% CI: -0.72, -0.50, p < 0.001). Additionally, a significant negative correlation emerged between the ALPS index and Unified PD Rating Scale III (UPDRS III) (r = -0.40, (95% CI: -0.59, -0.18, I
conclusionThese findings highlight the potential of DTI-ALPS as a noninvasive biomarker for PD diagnosis and progression monitoring. Further studies are warranted to explore its applicability in differentiating PD from other neurodegenerative disorders.
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