ArticleJournal of neurology2025
Regional free-water diffusion is more strongly related to neuroinflammation than neurodegeneration.
Article in Journal of neurology, 2025. 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
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Who cites it
6 citing papers in PubMed.
- Free water changes and their correlations with multimodal biomarkers in frontotemporal dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Free water in the external globus pallidus predicts mild cognitive impairment in Parkinson's disease and is associated with serum neurofilament light chain levels.NPJ Parkinson's disease · 2026Article
- Free water-mediated associations among choroid plexus enlargement, white matter lesions, and cognitive performance in type 2 diabetes mellitus.Frontiers in endocrinology · 2026Article
- Tissue-specific diffusion abnormalities and localized free-water reductions in hypertension despite no detectable group difference in the DTI-ALPS index.Frontiers in medicine · 2026Article
- Associations of plasma phosphorylated tau217 with cognitive impairment and brain microstructural alterations in Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- Mapping neurodegeneration with diffusion MRI: biomarkers, mechanisms, and clinical translation.Frontiers in neurologyReview
Corrections and comments
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Authors and funding
38 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRecent research has suggested that neuroinflammation may be important in the pathogenesis of neurodegenerative diseases. Free-water diffusion (FWD) has been proposed as a non-invasive neuroimaging-based biomarker for neuroinflammation.
methodsFree-water maps were generated using diffusion MRI data in 367 patients from the Ontario Neurodegenerative Disease Research Initiative (108 Alzheimer's Disease/Mild Cognitive Impairment, 42 Frontotemporal Dementia, 37 Amyotrophic Lateral Sclerosis, 123 Parkinson's Disease, and 58 vascular disease-related Cognitive Impairment). The ability of FWD to predict neuroinflammation and neurodegeneration from biofluids was estimated using plasma glial fibrillary-associated protein (GFAP) and neurofilament light chain (NfL), respectively.
resultsRecursive Feature Elimination (RFE) performed the strongest out of all feature selection algorithms used and revealed regional specificity for areas that are the most important features for predicting GFAP over NfL concentration. Deep learning models using selected features and demographic information revealed better prediction of GFAP over NfL. DISCUSSION: Based on feature selection and deep learning methods, FWD was found to be more strongly related to GFAP concentration (measure of astrogliosis) over NfL (measure of neuro-axonal damage), across neurodegenerative disease groups, in terms of predictive performance. Non-invasive markers of neurodegeneration such as MRI structural imaging that can reveal neurodegeneration already exist, while non-invasive markers of neuroinflammation are not available. Our results support the use of FWD as a non-invasive neuroimaging-based biomarker for neuroinflammation.
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Registered trials
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