ArticleMagnetic resonance in medicine2019
Functional tractography of white matter by high angular resolution functional-correlation imaging (HARFI).
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 29 citations in OpenAlex.
- White-Matter BOLD Encoding Beyond Marginal Connectivity.bioRxiv : the preprint server for biology · 2026Article
- Robust Containerization of the High Angular Resolution Functional Imaging (HARFI) Pipeline.Neuroinformatics · 2026Article
- Implicit neural representation of multi-shell constrained spherical deconvolution for continuous modeling of diffusion MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- WhiFuN: A toolbox to map the white matter functional networks of the human brain.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- White matter microstructure alterations in type 2 diabetes mellitus and its correlation with cerebral small vessel disease and cognitive performance.Scientific reports · 2024Article
- A practical guide for combining functional regions of interest and white matter bundles.Frontiers in neuroscience · 2024Article
- Functional Parcellation of Human Brain Using Localized Topo-Connectivity Mapping.IEEE transactions on medical imaging · 2022Article
- Detection of functional activity in brain white matter using fiber architecture informed synchrony mapping.NeuroImage · 2022Article
- Article
- Power spectra reveal distinct BOLD resting-state time courses in white matter.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters.NeuroImage · 2021Article
- Acute changes in diffusion tensor-derived metrics and its correlation with the motor outcome in gliomas adjacent to the corticospinal tract.Surgical neurology international · 2021Article
- Retrospective analysis of hemispheric structural network change as a function of location and size of glioma.Brain communications · 2021Article
- Identification of White Matter Networks Engaged in Object (Face) Recognition Showing Differential Responses to Modulated Stimulus Strength.Cerebral cortex communications · 2020Article
- Functional MRI and resting state connectivity in white matter - a mini-review.Magnetic resonance imaging · 2019Review
- Challenges in diffusion MRI tractography - Lessons learned from international benchmark competitions.Magnetic resonance imaging · 2019Review
- Article
- Fiber-tract localized diffusion coefficients highlight patterns of white matter disruption induced by proximity to glioma.PloS one · 2019Article
- Diffusion Tensor Imaging Biomarkers to Predict Motor Outcomes in Stroke: A Narrative Review.Frontiers in neurology · 2019Review
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
purposeFunctional magnetic resonance imaging with BOLD contrast is widely used for detecting brain activity in the cortex. Recently, several studies have described anisotropic correlations of resting-state BOLD signals between voxels in white matter (WM). These local WM correlations have been modeled as functional-correlation tensors, are largely consistent with underlying WM fiber orientations derived from diffusion MRI, and appear to change during functional activity. However, functional-correlation tensors have several limitations. The use of only nearest-neighbor voxels makes functional-correlation tensors sensitive to noise. Furthermore, adjacent voxels tend to have higher correlations than diagonal voxels, resulting in orientation-related biases. Finally, the tensor model restricts functional correlations to an ellipsoidal bipolar-symmetric shape, and precludes the ability to detect complex functional orientation distributions (FODs).
methodsWe introduce high-angular-resolution functional-correlation imaging (HARFI) to address these limitations. In the same way that high-angular-resolution diffusion imaging (HARDI) techniques provide more information than diffusion tensors, we show that the HARFI model is capable of characterizing complex FODs expected to be present in WM.
resultsWe demonstrate that the unique radial and angular sampling strategy eliminates orientation biases present in tensor models. We further show that HARFI FODs are able to reconstruct known WM pathways. Finally, we show that HARFI allows asymmetric "bending" and "fanning" distributions, and propose asymmetric and functional indices which may increase fiber tracking specificity, or highlight boundaries between functional regions.
conclusionsThe results suggest the HARFI model could be a robust, new way to evaluate anisotropic BOLD signal changes in WM.
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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.