Evidence map›Paper›PMID 29266522›Full record

ArticleHuman brain mapping2018

Confirmation of a gyral bias in diffusion MRI fiber tractography.

Kurt Schilling, Yurui Gao, Vaibhav Janve, Iwona Stepniewska, Bennett A Landman, Adam W Anderson

Abstract read
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
9.4field-weighted citation impact, top 1% 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

87 citing papers in PubMed, 148 citations in OpenAlex.

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  16. Spurious correlations in surface-based functional brain imaging.Imaging neuroscience (Cambridge, Mass.) · 2025
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27 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

6 authors at 1 institution in 1 country.

Kurt SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee.ORCID 0000-0003-3686-7645
Yurui GaoVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee.
Vaibhav JanveVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee.
Iwona StepniewskaDepartment of Psychology, Vanderbilt University, Nashville, Tennessee.
Bennett A LandmanVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee.
Adam W AndersonVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee.
Vanderbilt University · US

Funding

Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
The Biological Basis of Diffusion MRI of the BrainR01NS058639 · NINDS · VANDERBILT UNIVERSITY · PI ANDERSON, ADAM W · 2008 to 2016
$3.7M
NICHD NIH HHS U54 HD083211NINDS NIH HHS R01 NS058639
6 · The paper itself

Abstract

Diffusion MRI fiber tractography has been increasingly used to map the structural connectivity of the human brain. However, this technique is not without limitations; for example, there is a growing concern over anatomically correlated bias in tractography findings. In this study, we demonstrate that there is a bias for fiber tracking algorithms to terminate preferentially on gyral crowns, rather than the banks of sulci. We investigate this issue by comparing diffusion MRI (dMRI) tractography with equivalent measures made on myelin-stained histological sections. We begin by investigating the orientation and trajectories of axons near the white matter/gray matter boundary, and the density of axons entering the cortex at different locations along gyral blades. These results are compared with dMRI orientations and tract densities at the same locations, where we find a significant gyral bias in many gyral blades across the brain. This effect is shown for a range of tracking algorithms, both deterministic and probabilistic, and multiple diffusion models, including the diffusion tensor and a high angular resolution diffusion imaging technique. Additionally, the gyral bias occurs for a range of diffusion weightings, and even for very high-resolution datasets. The bias could significantly affect connectivity results using the current generation of tracking algorithms.

Indexed as

AlgorithmsDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingAnimalsAxonsBrainMacaca mulattaMyelin SheathNeural PathwaysReproducibility of ResultsSilver Stainingbrainconnectivitydiffusion MRIgyral biashistologytractographyvalidation

Identifiers

PMID29266522
PMCPMC5807146
OpenAlexW2776959505

What OpenQuestion holds

Textmetadata
LicenceTDM
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.