ArticleNeuroImage2019
Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
56 citing papers in PubMed, 115 citations in OpenAlex.
- Graph-Based White Matter Tractometry: Methods, Applications, and the Path to Validation.Neuroinformatics · 2026Review
- Motor learning induces myelin-related white matter changes revealed by MRI-based in vivo histology.Communications biology · 2026Article
- Multimodal Quantitative Parameter Mapping Characterizes Low-dimensional Feature Organization and Tract-specific Signatures in White Matter.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026Article
- A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography.Human brain mapping · 2025Article
- The relationship between recreational cannabis use, psychotic-like experiences, and the salience network in adolescent and young adult twins.Psychological medicine · 2025Article
- Complementary MR measures of white matter and their relation to cardiovascular health and cognition.Scientific reports · 2025Article
- Multimodal MEG and Microstructure-MRI Investigations of the Human Hippocampal Scene Network.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Whole-brain white matter variation across childhood environments.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Microstructural brain assessment in late-life depression and apathy using diffusion MRI multi-compartments models and tractometry.Scientific reports · 2024Article
- Can structure predict function at individual level in the human connectome?Brain structure & function · 2024Article
- The Variegation of Human Brain Vulnerability to Rare Genetic Disorders and Convergence With Behaviorally Defined Disorders.Biological psychiatry · 2024Article
- Developmental differences in canonical cortical networks: Insights from microstructure-informed tractography.Network neuroscience (Cambridge, Mass.) · 2024Article
- Subtle microstructural alterations in white matter tracts involved in socio-emotional processing after very preterm birth.NeuroImage. Clinical · 2024Article
- Multi-tensor fixel-based metrics in tractometry: application to multiple sclerosis.Frontiers in neuroscience · 2024Article
- Current Auditory Hallucinations Are Not Associated With Specific White Matter Diffusion Alterations in Schizophrenia.Schizophrenia bulletin open · 2024Article
- White matter microstructure, traumatic brain injury, and disruptive behavior disorders in girls and boys.Frontiers in neuroscience · 2024Article
- In vivo evidence of microstructural hypo-connectivity of brain white matter in 22q11.2 deletion syndrome.Molecular psychiatry · 2023Article
- White matter tract microstructure, macrostructure, and associated cortical gray matter morphology across the lifespan.bioRxiv : the preprint server for biology · 2023Article
- High-frequency longitudinal white matter diffusion- and myelin-based MRI database: Reliability and variability.Human brain mapping · 2023Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 3 countries.
Funding
Abstract
Various diffusion MRI (dMRI) measures have been proposed for characterising tissue microstructure over the last 15 years. Despite the growing number of experiments using different dMRI measures in assessments of white matter, there has been limited work on: 1) examining their covariance along specific pathways; and on 2) combining these different measures to study tissue microstructure. Indeed, it quickly becomes intractable for existing analysis pipelines to process multiple measurements at each voxel and at each vertex forming a streamline, highlighting the need for new ways to visualise or analyse such high-dimensional data. In a sample of 36 typically developing children aged 8-18 years, we profiled various commonly used dMRI measures across 22 brain pathways. Using a data-reduction approach, we identified two biologically-interpretable components that capture 80% of the variance in these dMRI measures. The first derived component captures properties related to hindrance and restriction in tissue microstructure, while the second component reflects characteristics related to tissue complexity and orientational dispersion. We then demonstrate that the components generated by this approach preserve the biological relevance of the original measurements by showing age-related effects across developmentally sensitive pathways. In summary, our findings demonstrate that dMRI analyses can benefit from dimensionality reduction techniques, to help disentangling the neurobiological underpinnings of white matter organisation.
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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.