ArticleNeuroImage2014
Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics.
Article in NeuroImage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
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Who cites it
65 citing papers in PubMed.
- Altered Cortical Gyrification Is Associated with Cortical and White Matter Microstructure in Individuals with Early Psychosis: A Multimodal Neuroimaging Study.Schizophrenia bulletin · 2026Article
- Connectome-based spatial statistics enabling large-scale population analyses of human connectome across cohorts.bioRxiv : the preprint server for biology · 2026Article
- Study of sex differences in the whole brain white matter using diffusion MRI tractography and suprathreshold fiber cluster statistics.NeuroImage. Clinical · 2026Article
- Study of Sex Differences in the Whole Brain White Matter Using Diffusion MRI Tractography and Suprathreshold Fiber Cluster Statistics.bioRxiv : the preprint server for biology · 2025Article
- Diffusion MRI with Machine Learning.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation.NeuroImage · 2023Article
- The organization of frontostriatal brain wiring in non-affective early psychosis compared with healthy subjects using a novel diffusion imaging fiber cluster analysis.Molecular psychiatry · 2023Article
- Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions.Medical image analysis · 2023Article
- Population-based tract-to-region connectome of the human brain and its hierarchical topology.Nature communications · 2022Article
- Imaging Genetic Based Mediation Analysis for Human Cognition.Frontiers in neuroscience · 2022Article
- Brainstem Diffusion Tensor Tractography and Clinical Applications in Pain.Frontiers in pain research (Lausanne, Switzerland) · 2022Review
- The Organization of Frontostriatal Brain Wiring in Healthy Subjects Using a Novel Diffusion Imaging Fiber Cluster Analysis.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- White matter tract-specific alterations in patients with primary restless legs syndrome.Scientific reports · 2021Article
- Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism.Frontiers in neuroinformatics · 2021Article
- Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation.Medical image analysis · 2020Article
- Registration-free analysis of diffusion MRI tractography data across subjects through the human lifespan.NeuroImage · 2020Article
- Automatic, Age Consistent Reconstruction of the Corpus Callosum Guided by Coherency From In Utero Diffusion-Weighted MRI.IEEE transactions on medical imaging · 2020Article
- The joint effect of aging and HIV infection on microstructure of white matter bundles.Human brain mapping · 2019Article
- Article
- Challenges and Opportunities in Connectome Construction and Quantification in the Developing Human Fetal Brain.Topics in magnetic resonance imaging : TMRI · 2019Review
5 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors.
Funding
Abstract
To understand factors that affect brain connectivity and integrity, it is beneficial to automatically cluster white matter (WM) fibers into anatomically recognizable tracts. Whole brain tractography, based on diffusion-weighted MRI, generates vast sets of fibers throughout the brain; clustering them into consistent and recognizable bundles can be difficult as there are wide individual variations in the trajectory and shape of WM pathways. Here we introduce a novel automated tract clustering algorithm based on label fusion--a concept from traditional intensity-based segmentation. Streamline tractography generates many incorrect fibers, so our top-down approach extracts tracts consistent with known anatomy, by mapping multiple hand-labeled atlases into a new dataset. We fuse clustering results from different atlases, using a mean distance fusion scheme. We reliably extracted the major tracts from 105-gradient high angular resolution diffusion images (HARDI) of 198 young normal twins. To compute population statistics, we use a pointwise correspondence method to match, compare, and average WM tracts across subjects. We illustrate our method in a genetic study of white matter tract heritability in twins.
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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.