ArticleScientific reports2020
Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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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.
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Who cites it
72 citing papers in PubMed.
- Graph-Based White Matter Tractometry: Methods, Applications, and the Path to Validation.Neuroinformatics · 2026Review
- Multimodal predictors of spoken vocabulary development in autism: the role of early childhood brain and behavior.Translational psychiatry · 2026Article
- The degenerome-a novel streamline-wise approach for white matter integrity in neurodegeneration.NPJ Parkinson's disease · 2026Article
- SPECTRA: Spatial Inference for Tractometry Toward Precision Mapping of White Matter Microstructure.bioRxiv : the preprint server for biology · 2026Article
- Mapping corpus callosum architecture: developmental, genetic, and cognitive correlates in youth.bioRxiv : the preprint server for biology · 2026Article
- Along-Tract Microstructural Alterations Associated with Stimulant Misuse Localized using Diffusion MRI Tractometry.bioRxiv : the preprint server for biology · 2026Article
- Motor learning induces myelin-related white matter changes revealed by MRI-based in vivo histology.Communications biology · 2026Article
- Tractometry-Based Quantification of Along-Tract White-Matter Hemispheric Asymmetry in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2026Article
- Anatomy-to-tract mapping infers white matter pathways without diffusion streamline propagation.Nature communications · 2025Article
- FORCE: FORward modeling for Complex microstructure Estimation.Research square · 2025Article
- ASSESSING THE INFLUENCE OF TRACTOGRAPHY METHODS ON WHITE MATTER MICROSTRUCTURE AND TRACTOMETRY ANALYSIS IN ALZHEIMERS DISEASE.bioRxiv : the preprint server for biology · 2025Article
- EVALUATING SAMPLE-SIZE EFFICIENCY AND SENSITIVITY OF TRACTOMETRY IN ALZHEIMER'S DISEASE.bioRxiv : the preprint server for biology · 2025Article
- White Matter Tract Vulnerability to Amyloid Pathology on the Alzheimer's Disease Continuum.bioRxiv : the preprint server for biology · 2025Article
- Deterministic versus Probabilistic Tractography: Impact on White Matter Bundle Shape.bioRxiv : the preprint server for biology · 2025Article
- Mapping along-tract commissural and association white matter microstructural differences in autistic children and young adults.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Myelin water and tensor-valued diffusion imaging: (How) are they related?Magnetic resonance in medicine · 2025Article
- Anatomy-to-Tract Mapping Infers White Matter Pathways Without Diffusion Streamline Propagation.bioRxiv : the preprint server for biology · 2025Article
- Streamline Density Normalization: A Robust Approach to Mitigate Bundle Variability in Multi-Site Diffusion MRI.bioRxiv : the preprint server for biology · 2025Article
- Logarithmic kinetics and bundling in random packings of elongated 3D physical links.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A software ecosystem for brain tractometry processing, analysis, and insight.PLoS computational biology · 2025Article
12 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors.
Funding
Abstract
Tractography has created new horizons for researchers to study brain connectivity in vivo. However, tractography is an advanced and challenging method that has not been used so far for medical data analysis at a large scale in comparison to other traditional brain imaging methods. This work allows tractography to be used for large scale and high-quality medical analytics. BUndle ANalytics (BUAN) is a fast, robust, and flexible computational framework for real-world tractometric studies. BUAN combines tractography and anatomical information to analyze the challenging datasets and identifies significant group differences in specific locations of the white matter bundles. Additionally, BUAN takes the shape of the bundles into consideration for the analysis. BUAN compares the shapes of the bundles using a metric called bundle adjacency which calculates shape similarity between two given bundles. BUAN builds networks of bundle shape similarities that can be paramount for automating quality control. BUAN is freely available in DIPY. Results are presented using publicly available Parkinson's Progression Markers Initiative data.
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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.