ArticleNature computational science2021
Detecting microstructural deviations in individuals with deep diffusion MRI tractometry.
Article in Nature computational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
39 citing papers in PubMed.
- Image-Based Identification and Localisation of Changes in Intraoperative Brain Tumour Resection.Journal of imaging informatics in medicine · 2026Article
- Neurovariability as a signature of adaptive brain function.Brain structure & function · 2026Review
- Lifespan normative modeling of brain microstructure.Nature communications · 2026Article
- Diffusion-MRI-Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 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
- Automated PACS-integrated pipeline for TractSeg-based segmentation of the arcuate fasciculus in patients with hearing loss.Frontiers in neuroscience · 2026Article
- In utero air pollution exposure and pre- and postnatal brain development: a review.Neuroscience applied · 2026Review
- A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography.Human brain mapping · 2025Article
- Lifespan Normative Modeling of Brain Microstructure.bioRxiv : the preprint server for biology · 2025Article
- Millennium Pathways for Tractography: 40 grand challenges to shape the future of tractography.ArXiv · 2025Article
- A software ecosystem for brain tractometry processing, analysis, and insight.PLoS computational biology · 2025Article
- Towards precision MRI biomarkers in epilepsy with normative modelling.Brain : a journal of neurology · 2025Review
- The Shape of the Brain's Connections Is Predictive of Cognitive Performance: An Explainable Machine Learning Study.Human brain mapping · 2025Review
- Article
- Personalized MRI-based characterization of subcortical anomalies in Ataxia-Telangiectasia using deep-learning.PloS one · 2025Article
- Quantification of brain functional connectivity deviations in individuals: A scoping review of functional MRI studies.NeuroImage. Clinical · 2025Article
- White Matter Microstructural Changes Using Ultra-Strong Diffusion Gradient MRI in Adult-Onset Idiopathic Focal Cervical Dystonia.Neurology · 2024Article
- Quantifying impairment and disease severity using AI models trained on healthy subjects.NPJ digital medicine · 2024Article
- Tractometry of Human Visual White Matter Pathways in Health and Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- Microstructural Mapping of Neural Pathways in Alzheimer's Disease using Macrostructure-Informed Normative Tractometry.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Most diffusion magnetic resonance imaging studies of disease rely on statistical comparisons between large groups of patients and healthy participants to infer altered tissue states in the brain; however, clinical heterogeneity can greatly challenge their discriminative power. There is currently an unmet need to move away from the current approach of group-wise comparisons to methods with the sensitivity to detect altered tissue states at the individual level. This would ultimately enable the early detection and interpretation of microstructural abnormalities in individual patients, an important step towards personalized medicine in translational imaging. To this end, Detect was developed to advance diffusion magnetic resonance imaging tractometry towards single-patient analysis. By operating on the manifold of white-matter pathways and learning normative microstructural features, our framework captures idiosyncrasies in patterns along white-matter pathways. Our approach paves the way from traditional group-based comparisons to true personalized radiology, taking microstructural imaging from the bench to the bedside.
Identifiers
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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.