ArticleFrontiers in neuroscience2017
NODDI-DTI: Estimating Neurite Orientation and Dispersion Parameters from a Diffusion Tensor in Healthy White Matter.
Article in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
- Electroconvulsive therapy induces rapid microstructural and macrostructural changes, but microstructural changes are longer-lasting.European archives of psychiatry and clinical neuroscience · 2026Trial
- Biological plausibility of single-shell NODDI-DTI in non-demented older adults: associations with plasma biomarkers and follow-up cognition.Research square · 2026Article
- Biophysical Diffusion MRI Models Better Identify White Matter Tracts in Edema.Tomography (Ann Arbor, Mich.) · 2026Article
- Intermittent ketogenic fasting with medium-chain triglycerides improves ataxia in COQ8A-related coenzyme Q10 deficiency: A case report.Molecular genetics and metabolism reports · 2026Article
- Diffusion tensor imaging in chronic tension-type headache.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- Multimodal MRI of white matter development and selective motor control in preterm infants.NeuroImage. Clinical · 2026Article
- White matter characterization in regions of edema surrounding meningioma brain tumor using diffusion MRI.medRxiv : the preprint server for health sciences · 2025Article
- Altered white matter microstructural integrity in patients with postherpetic neuralgia: a combined DTI and DTI-NODDI study.Frontiers in neuroscience · 2025Article
- Neural Correlates of Obesity and Inflammation in Children and Adolescents with Congenital Adrenal Hyperplasia.Hormone research in paediatrics · 2025Article
- Temporal dynamics of white and gray matter plasticity during motor skill acquisition: a comparative diffusion tensor imaging and multiparametric mapping analysis.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Microstructure predicts non-motor outcomes following deep brain stimulation in Parkinson's disease.NPJ Parkinson's disease · 2024Article
- Brain temperature and free water increases after mild COVID-19 infection.Scientific reports · 2024Article
- Insights and improvements in correspondence between axonal volume fraction measured with diffusion-weighted MRI and electron microscopy.NMR in biomedicine · 2024Article
- Neurite-based white matter alterations in MAPT mutation carriers: A multi-shell diffusion MRI study in the ALLFTD consortium.Neurobiology of aging · 2024Article
- The trouble with free-water elimination using single-shell diffusion MRI data: A case study in ageing.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Traveling Subject-Informed Harmonization Increases Reliability of Brain Diffusion Tensor and Neurite Mapping.Aging and disease · 2023Article
- Changes in white matter microstructure following serial ketamine infusions in treatment resistant depression.Human brain mapping · 2023Article
- Effects of television viewing on brain structures and risk of dementia in the elderly: Longitudinal analyses.Frontiers in neuroscience · 2023Article
- C-NODDI: a constrained NODDI model for axonal density and orientation determinations in cerebral white matter.Frontiers in neurology · 2023Article
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5 authors.
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Abstract
The NODDI-DTI signal model is a modification of the NODDI signal model that formally allows interpretation of standard single-shell DTI data in terms of biophysical parameters in healthy human white matter (WM). The NODDI-DTI signal model contains no CSF compartment, restricting application to voxels without CSF partial-volume contamination. This modification allowed derivation of analytical relations between parameters representing axon density and dispersion, and DTI invariants (MD and FA) from the NODDI-DTI signal model. These relations formally allow extraction of biophysical parameters from DTI data. NODDI-DTI parameters were estimated by applying the proposed analytical relations to DTI parameters estimated from the first shell of data, and compared to parameters estimated by fitting the NODDI-DTI model to both shells of data (reference dataset) in the WM of 14
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.