ArticleScientific reports2019
Diffusion Tensor Model links to Neurite Orientation Dispersion and Density Imaging at high b-value in Cerebral Cortical Gray Matter.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 3 of them syntheses that pooled it.
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Who cites it
51 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Diffusion Imaging of Sport-related Repetitive Head Impacts-A Systematic Review.Neuropsychology review · 2023Pooled it
- A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue.Magma (New York, N.Y.) · 2022Pooled it
- Assessing White Matter Pathology in Early-Stage Parkinson Disease Using Diffusion MRI: A Systematic Review.Frontiers in neurology · 2020Pooled it
- Multimodal age-dependent diffusion-MRI analysis of the neocortex in a rat model of cortical dysplasia.Scientific reports · 2026Article
- Using diffusion MRI to relate hippocampal subfield microstructure to delayed verbal memory in cognitively intact individuals at genetic risk for developing Alzheimer's disease.Experimental gerontology · 2026Article
- Diffusion MRI experimental design optimization for microstructure imaging.Communications biology · 2026Article
- Contributions of Gray Matter Microstructure to Differences in Fluid Cognition and Episodic Memory Across the Healthy Adult Lifespan.Human brain mapping · 2026Article
- Visualizing cortical laminar architecture in the living human brain using next-generation ultra-high-gradient diffusion MRI.Communications biology · 2026Article
- Assessing cognitive impairment in OSAHS patients through NODDI-based gray matter analysis.BMC neurology · 2025Article
- Longitudinal tractography of the mouse corpus callosum reveals topographical order and differences due to sex and aging.Brain structure & function · 2025Article
- White matter characterization in regions of edema surrounding meningioma brain tumor using diffusion MRI.medRxiv : the preprint server for health sciences · 2025Article
- Assessment of a diffusion phantom for quality assurance in brain microstructure diffusion MRI studies.Scientific reports · 2025Article
- Visualizing cortical laminar architecture in the living human brain using next-generation ultra-high-gradient diffusion MRI.Research square · 2025Article
- White matter and cortical gray matter microstructural alterations in migraine: a NODDI and DTI analysis.The journal of headache and pain · 2025Article
- Aging of gray matter microstructure: A brain-wide characterization of age group differences using NODDI.Neurobiology of aging · 2025Article
- Microstructural abnormalities of the dentato-rubro-thalamo-cortical tract in tremor dominant Parkinson's disease and essential tremor plus syndrome.Neuroradiology · 2025Article
- Neurite development varies across the hippocampus and covaries with the cellular composition of hippocampal tissue.Communications biology · 2025Article
- Increased Parenchymal Free Water May Be Decreased by Revascularization Surgery in Patients with Moyamoya Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Article
- Causal Relationship between Aging and Anorexia Nervosa: A White-Matter-Microstructure-Mediated Mendelian Randomization Analysis.Biomedicines · 2024Article
- Mapping macrostructural and microstructural brain alterations in patients with neuronal intranuclear inclusion disease.Neuroradiology · 2024Article
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12 authors.
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Abstract
Diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) are widely used models to infer microstructural features in the brain from diffusion-weighted MRI. Several studies have recently applied both models to increase sensitivity to biological changes, however, it remains uncertain how these measures are associated. Here we show that cortical distributions of DTI and NODDI are associated depending on the choice of b-value, a factor reflecting strength of diffusion weighting gradient. We analyzed a combination of high, intermediate and low b-value data of multi-shell diffusion-weighted MRI (dMRI) in healthy 456 subjects of the Human Connectome Project using NODDI, DTI and a mathematical conversion from DTI to NODDI. Cortical distributions of DTI and DTI-derived NODDI metrics were remarkably associated with those in NODDI, particularly when applied highly diffusion-weighted data (b-value = 3000 sec/mm
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