ReviewJournal of neuroscience methods2021
The sensitivity of diffusion MRI to microstructural properties and experimental factors.
Review in Journal of neuroscience methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.
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Who cites it
56 citing papers in PubMed, 1 synthesis or guideline pooled it, 114 citations in OpenAlex.
- White matter variability, cognition, and disorders: a systematic review.Brain structure & function · 2022Pooled it
- Comparative Systematic Analysis of Gray Matter Biophysical Models on a Public Dataset.Magnetic resonance in medicine · 2026Article
- Graph-Based White Matter Tractometry: Methods, Applications, and the Path to Validation.Neuroinformatics · 2026Review
- Predictors of Peripheral Neuropathy in Metabolic Disease: A Multivariable Analysis Incorporating the Toronto Clinical Scoring System and Sudomotor Assessment.Medicina (Kaunas, Lithuania) · 2026Article
- Repeatability of in vivo MR cytometry for measuring cell size and density in healthy human livers.Magnetic resonance imaging · 2026Article
- Microstructural alterations in brain tissue of ME/CFS and long COVID using diffusion tensor imaging and diffusion kurtosis imaging.Frontiers in medicine · 2026Article
- Thermal noise lowers the accuracy of rotationally invariant harmonics of diffusion MRI data and their robustness to experimental variations.Magnetic resonance in medicine · 2026Article
- Noninvasive mapping of shear strain predicts the anatomical distribution of mild traumatic brain injury.NeuroImage. Clinical · 2026Article
- Advanced microstructure imaging at high b-values and high resolution combining ultra-high performance gradient diffusion imaging and model-based deep learning demonstrated using 3D multi-slab acquisition.Magnetic resonance in medicine · 2026Article
- Gray matter microstructure from in vivo diffusion magnetic resonance imaging reflects post mortem neuropathology severity and clinical progression of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Cellular deconvolution of the brain with topological magnetic resonance image analysis.bioRxiv : the preprint server for biology · 2025Article
- Noninvasive grading of renal interstitial fibrosis and prediction of annual renal function loss in chronic kidney disease: the optimal solution of seven MR diffusion models.Renal failure · 2025Article
- Microstructural maturation of the adult mouse brain.Communications biology · 2025Article
- Utility of Harmonisation for Fixel-Based Metrics in Travelling Subjects and Alzheimer's Disease Data.Human brain mapping · 2025Article
- Microstructural modelling based on diffusion weighted imaging to guide dose painting in carbon ions for large sacral chordomas.Physics and imaging in radiation oncology · 2025Article
- Multi-TE Diffusion MRI Dataset for Exploring Combined Diffusion-Relaxometry Methods in Microstructure Imaging.Scientific data · 2025Article
- In vivo cortical microstructure mapping using high-gradient diffusion MRI accounting for intercompartmental water exchange effects.NeuroImage · 2025Article
- Enhanced structural brain connectivity analyses using high diffusion-weighting strengths.Brain structure & function · 2025Article
- Current and future applications of brain magnetic resonance imaging in ARSACS.Cerebellum (London, England) · 2025Review
- Diffusion MRI in 2-Month-Old Mouse Brain Predicts Alzheimer's Pathology Genotype.NMR in biomedicine · 2025Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 5 countries.
Funding
Abstract
Diffusion MRI is a non-invasive technique to study brain microstructure. Differences in the microstructural properties of tissue, including size and anisotropy, can be represented in the signal if the appropriate method of acquisition is used. However, to depict the underlying properties, special care must be taken when designing the acquisition protocol as any changes in the procedure might impact on quantitative measurements. This work reviews state-of-the-art methods for studying brain microstructure using diffusion MRI and their sensitivity to microstructural differences and various experimental factors. Microstructural properties of the tissue at a micrometer scale can be linked to the diffusion signal at a millimeter-scale using modeling. In this paper, we first give an introduction to diffusion MRI and different encoding schemes. Then, signal representation-based methods and multi-compartment models are explained briefly. The sensitivity of the diffusion MRI signal to the microstructural components and the effects of curvedness of axonal trajectories on the diffusion signal are reviewed. Factors that impact on the quality (accuracy and precision) of derived metrics are then reviewed, including the impact of random noise, and variations in the acquisition parameters (i.e., number of sampled signals, b-value and number of acquisition shells). Finally, yet importantly, typical approaches to deal with experimental factors are depicted, including unbiased measures and harmonization. We conclude the review with some future directions and recommendations on this topic.
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Registered trials
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.