ArticleFrontiers in neurology2023
C-NODDI: a constrained NODDI model for axonal density and orientation determinations in cerebral white matter.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Early axonal degeneration linked to clinical decline in Alzheimer's disease progression revealed with diffusion MRI.The Journal of clinical investigation · 2026Trial
- Biological plausibility of single-shell NODDI-DTI in non-demented older adults: associations with plasma biomarkers and follow-up cognition.Research square · 2026Article
- Article
- Major Lifetime Discrimination Exposure Accelerates Brain Microstructural Aging: Diffusion MRI Evidence From MIDUS.Biopsychosocial science and medicine · 2026Article
- Contributions of Gray Matter Microstructure to Differences in Fluid Cognition and Episodic Memory Across the Healthy Adult Lifespan.Human brain mapping · 2026Article
- Neurodegeneration biomarkers in Alzheimer's disease: axonal density index expands the "N" in the AT(N) framework.The Journal of clinical investigation · 2026Article
- Neurite orientation dispersion and density imaging in stroke: current applications, limitations, and future directions.Frontiers in human neuroscience · 2026Review
- 40 Years of diffusion MRI in the brain: From history to emerging frontiers.Imaging neuroscience (Cambridge, Mass.) · 2026Review
- High estimated pulse-wave velocity is associated with lower brain white matter microstructural integrity twelve years later.Neurobiology of aging · 2025Article
- Prenatal fentanyl exposure affects social dominance and myelination patterns in the adult mouse brain.Neuropharmacology · 2025Article
- Advanced Quantitative Microstructure Imaging in Autism: A Review of Methodology, Group Differences, and Associations With Developmental Outcomes.Autism research : official journal of the International Society for Autism Research · 2025Review
- Axonal Degeneration Across the Alzheimer's Disease Spectrum: A Longitudinal MRI and Fluid Biomarker Study.medRxiv : the preprint server for health sciences · 2025Article
- Purpose in life as a resilience factor for brain health: diffusion MRI findings from the Midlife in the U.S. study.Frontiers in psychiatry · 2024Article
- Distance from main arteries influences microstructural and functional brain tissue characteristics.NeuroImage · 2024Article
- Correlates of axonal content in healthy adult span: Age, sex, myelin, and metabolic health.Cerebral circulation - cognition and behavior · 2024Article
- The relationship between cognition and white matter tract damage after mild traumatic brain injury in a premorbidly healthy, hospitalised adult cohort during the post-acute period.Frontiers in neurology · 2023Article
- Machine learning diagnosis of mild cognitive impairment using advanced diffusion MRI and CSF biomarkers.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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10 authors.
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Abstract
Purpose: Neurite orientation dispersion and density imaging (NODDI) provides measures of neurite density and dispersion through computation of the neurite density index (NDI) and the orientation dispersion index (ODI). However, NODDI overestimates the cerebrospinal fluid water fraction in white matter (WM) and provides physiologically unrealistic high NDI values. Furthermore, derived NDI values are echo-time (TE)-dependent. In this work, we propose a modification of NODDI, named constrained NODDI (C-NODDI), for NDI and ODI mapping in WM. Methods: Using NODDI and C-NODDI, we investigated age-related alterations in WM in a cohort of 58 cognitively unimpaired adults. Further, NDI values derived using NODDI or C-NODDI were correlated with the neurofilament light chain (NfL) concentration levels, a plasma biomarker of axonal degeneration. Finally, we investigated the TE dependence of NODDI or C-NODDI derived NDI and ODI. Results: ODI derived values using both approaches were virtually identical, exhibiting constant trends with age. Further, our results indicated a quadratic relationship between NDI and age suggesting that axonal maturation continues until middle age followed by a decrease. This quadratic association was notably significant in several WM regions using C-NODDI, while limited to a few regions using NODDI. Further, C-NODDI-NDI values exhibited a stronger correlation with NfL concentration levels as compared to NODDI-NDI, with lower NDI values corresponding to higher levels of NfL. Finally, we confirmed the previous finding that NDI estimation using NODDI was dependent on TE, while NDI derived values using C-NODDI exhibited lower sensitivity to TE in WM. Conclusion: C-NODDI provides a complementary method to NODDI for determination of NDI in white matter.
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