Evidence map›Paper›PMID 40093184›Full record

ArticlebioRxiv : the preprint server for biology2025

The relationship of white matter tract orientation to vascular geometry in the human brain.

Kurt G Schilling, Allen Newton, Chantal M W Tax, Maxime Chamberland, Samuel W Remedios, Yurui Gao, Muwei Li, Catie Chang, Francois Rheault, Farshid Sepherband and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Kurt G SchillingVanderbilt University Institute of Imaging Science, Nashville, TN, USA.ORCID 0000-0003-3686-7645
Allen NewtonVanderbilt University Institute of Imaging Science, Nashville, TN, USA.
Chantal M W TaxImage Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.
Maxime ChamberlandDepartment of Mathematics & Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands.
Samuel W RemediosDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Yurui GaoVanderbilt University Institute of Imaging Science, Nashville, TN, USA.
Muwei LiVanderbilt University Institute of Imaging Science, Nashville, TN, USA.ORCID 0000-0003-3596-9287
Catie ChangVanderbilt University Institute of Imaging Science, Nashville, TN, USA.
Francois RheaultSherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Québec, Canada.
Farshid SepherbandUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Adam AndersonVanderbilt University Institute of Imaging Science, Nashville, TN, USA.
John C GoreVanderbilt University Institute of Imaging Science, Nashville, TN, USA.
Bennett LandmanVanderbilt University Institute of Imaging Science, Nashville, TN, USA.

Funding

Biophysical Basis of Functional Connectivity by MRIR01NS078680 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Li Min Chen, John C Gore · 2012 to 2026
$7.6M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Biophysical basis of functional MRI of white matterR01NS113832 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2020 to 2024
$2.4M
Upgrade and Refurbishment of a 7T MRI Scanner for ResearchS10OD030389 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2021 to 2021
$2.0M
Secondary analysis of functional MRI and resting state connectivity in white matterRF1MH123201 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C, LANDMAN, BENNETT A. · 2021 to 2021
$1.3M
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple SclerosisK01EB032898 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHILLING, KURT G · 2022 to 2025
$630k
NIBIB NIH HHS K01 EB032898NIBIB NIH HHS R01 EB017230NIH HHS S10 OD030389NIMH NIH HHS RF1 MH123201NINDS NIH HHS R01 NS078680NINDS NIH HHS R01 NS113832Wellcome Trust
6 · The paper itself

Abstract

The white matter of the human brain exhibits highly ordered anisotropic structures of both axonal nerve fibers and cerebral vasculature. Separately, the anisotropic nature of white matter axons and white matter vasculature have been shown to cause an orientation dependence on various MRI contrasts used to study the structure and function of the brain; however, little is known of the relationship between axonal and vascular orientations. Thus, the aim of this study is to compare the orientation between nerve fibers and vasculature within the white matter. To do this, we use diffusion MRI and susceptibility weighted imaging acquired in the same healthy young adult volunteers and analyze the alignment between white matter fibers and blood vessels in different brain regions, and along different pathways, to determine the degree of alignment between these structures. We first describe vascular orientation throughout the brain and note several regions with consistent orientations across individuals. Next, we find that vasculature does not necessarily align with the dominant direction of white matter in many regions, but, due to the presence of crossing fiber populations, does align with at least some white matter within each MRI voxel. Even though the spatial patterns of blood vessels run in parallel to several white matter tracts, they do not do so along the entire pathway, nor for all pathways, suggesting that vasculature does not supply/drain blood in a tract-specific manner. Overall, these findings suggest that the vascular architecture within the white matter is closely related to, but not the same as, the organization of neural pathways. This study contributes to a better understanding of the microstructural arrangement of the brain and may have implications for interpreting neuroimaging data in health and disease.

Identifiers

PMID40093184
PMCPMC11908263

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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.