Evidence map›Paper›PMID 34921473›Full record

ArticleHuman brain mapping2022

Prevalence of white matter pathways coming into a single white matter voxel orientation: The bottleneck issue in tractography.

Kurt G Schilling, Chantal M W Tax, Francois Rheault, Bennett A Landman, Adam W Anderson, Maxime Descoteaux, Laurent Petit

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
8.5field-weighted citation impact, top 2% of its field
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

66 citing papers in PubMed, 100 citations in OpenAlex.

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  7. DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks.Proceedings of SPIE--the International Society for Optical Engineering · 2026
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 5 countries.

Kurt G SchillingDepartment of Radiology & Radiological Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0003-3686-7645
Chantal M W TaxCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, Cardiff, UK.ORCID 0000-0002-7480-8817
Francois RheaultDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0002-0097-8004
Bennett A LandmanDepartment of Radiology & Radiological Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0001-5733-2127
Adam W AndersonDepartment of Radiology & Radiological Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Maxime DescoteauxSherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Sherbrooke, Quebec, Canada.ORCID 0000-0002-8191-2129
Laurent PetitGroupe d'Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives, CNRS, CEA University of Bordeaux, Bordeaux, France.ORCID 0000-0003-2499-5367
Vanderbilt University · USCentre National de la Recherche Scientifique · FRUniversité de Sherbrooke · CAUniversity Medical Center Utrecht · NLVanderbilt University Medical Center · US

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lea K Davis · 2020 to 2026
$10.3M
Postdoctoral Training in Biomedical MRI and MRST32EB001628 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI John C Gore · 2003 to 2026
$7.0M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
NCRR NIH HHS UL1 RR024975NCRR NIH HHS UL1 RR024975-01NIBIB NIH HHS R01 EB017230NIBIB NIH HHS T32 EB001628NICHD NIH HHS P50 HD103537NIH HHS R01EB017230NIH HHS T32EB001628NIMH NIH HHS U54 MH091657Wellcome TrustWellcome Trust 215944/Z/19/Z
6 · The paper itself

Abstract

Characterizing and understanding the limitations of diffusion MRI fiber tractography is a prerequisite for methodological advances and innovations which will allow these techniques to accurately map the connections of the human brain. The so-called "crossing fiber problem" has received tremendous attention and has continuously triggered the community to develop novel approaches for disentangling distinctly oriented fiber populations. Perhaps an even greater challenge occurs when multiple white matter bundles converge within a single voxel, or throughout a single brain region, and share the same parallel orientation, before diverging and continuing towards their final cortical or sub-cortical terminations. These so-called "bottleneck" regions contribute to the ill-posed nature of the tractography process, and lead to both false positive and false negative estimated connections. Yet, as opposed to the extent of crossing fibers, a thorough characterization of bottleneck regions has not been performed. The aim of this study is to quantify the prevalence of bottleneck regions. To do this, we use diffusion tractography to segment known white matter bundles of the brain, and assign each bundle to voxels they pass through and to specific orientations within those voxels (i.e. fixels). We demonstrate that bottlenecks occur in greater than 50-70% of fixels in the white matter of the human brain. We find that all projection, association, and commissural fibers contribute to, and are affected by, this phenomenon, and show that even regions traditionally considered "single fiber voxels" often contain multiple fiber populations. Together, this study shows that a majority of white matter presents bottlenecks for tractography which may lead to incorrect or erroneous estimates of brain connectivity or quantitative tractography (i.e., tractometry), and underscores the need for a paradigm shift in the process of tractography and bundle segmentation for studying the fiber pathways of the human brain.

Indexed as

AdultDiffusion Tensor ImagingHumansImage Processing, Computer-AssistedNeural PathwaysWhite Matterbottleneckcrossing fibersfiber pathwaystractographytractometrywhite matter

Identifiers

PMID34921473
PMCPMC8837578
OpenAlexW4200585223

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.