ReviewJournal of neuroscience methods2020
Challenges for biophysical modeling of microstructure.
Review in Journal of neuroscience methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 2 of them syntheses that pooled it.
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Who cites it
107 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- ESR Essentials: diffusion-weighted MRI-practice recommendations by the European Society for Magnetic Resonance in Medicine and Biology.European radiology · 2026Guideline
- Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 2-Ex vivo imaging: Added value and acquisition.Magnetic resonance in medicine · 2025Guideline
- Comparative Systematic Analysis of Gray Matter Biophysical Models on a Public Dataset.Magnetic resonance in medicine · 2026Article
- Widespread alterations in white matter microstructure in autism: A multilevel meta-analysis.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmap.Physics in medicine and biology · 2026Review
- Toward Super-Resolution Reconstruction of Diffusion-Relaxation MRI Using Slice Excitation With Random Overlap (SERO).Magnetic resonance in medicine · 2026Article
- The microstructure-weighted human connectome: network properties and structure-function correlations across spatial scales.bioRxiv : the preprint server for biology · 2026Article
- Passive water exchange between multiple sites can explain why apparent exchange rate constants depend on ionic and osmotic conditions in gray matter.Magnetic resonance letters · 2026Article
- Spatial Image Gradient Estimation From the Diffusion MRI Profile.Magnetic resonance in medicine · 2026Article
- Heterogeneity of White Matter Structure in the Human Brain.Research square · 2026Article
- Heterogeneity of white-matter organization in the human brain.bioRxiv : the preprint server for biology · 2026Article
- Contributions of Gray Matter Microstructure to Differences in Fluid Cognition and Episodic Memory Across the Healthy Adult Lifespan.Human brain mapping · 2026Article
- Decoding gray matter, large-scale analysis of brain cell morphometry to inform microstructural modeling of diffusion MR signals.Communications biology · 2026Article
- Tensor-derived diffusion MRI metrics and NODDI in multiple sclerosis classification.NeuroImage. Clinical · 2026Article
- Cortical mean diffusivity detects early age-related changes and associates with cognition and plasma biomarkers.Brain communications · 2026Article
- Data-driven classification of tissue water populations by massively multidimensional diffusion-relaxation correlation MRI.Frontiers in neuroscience · 2026Article
- Validating the neurite exchange imaging (NEXI) model of gray matter using Monte Carlo simulations in numerical substrates.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Reduced NEXI protocol for the quantification of human gray matter microstructure on the Connectome 2.0 scanner.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Validation of diffusion and exchange imaging biomarkers via simultaneous real-time NMR and optical microscopy.bioRxiv : the preprint server for biology · 2025Article
- Implicit neural representations for accurate estimation of the Standard Model of white matter.Communications biology · 2025Article
47 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The biophysical modeling efforts in diffusion MRI have grown considerably over the past 25 years. In this review, we dwell on the various challenges along the journey of bringing a biophysical model from initial design to clinical implementation, identifying both hurdles that have been already overcome and outstanding issues. First, we describe the critical initial task of selecting which features of tissue microstructure can be estimated using a model and which acquisition protocol needs to be implemented to make the estimation possible. The model performance should necessarily be tested in realistic numerical simulations and in experimental data - adapting the fitting strategy accordingly, and parameter estimates should be validated against complementary techniques, when/if available. Secondly, the model performance and validity should be explored in pathological conditions, and, if appropriate, dedicated models for pathology should be developed. We build on examples from tumors, ischemia and demyelinating diseases. We then discuss the challenges associated with clinical translation and added value. Finally, we single out four major unresolved challenges that are related to: the availability of a microstructural ground truth, the validation of model parameters which cannot be accessed with complementary techniques, the development of a generalized standard model for any brain region and pathology, and the seamless communication between different parties involved in the development and application of biophysical models of diffusion.
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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.