Evidence map›Paper›PMID 26350492›Full record

ArticleHuman brain mapping2015

Investigation of vibration-induced artifact in clinical diffusion-weighted imaging of pediatric subjects.

Madison M Berl, Lindsay Walker, Pooja Modi, M Okan Irfanoglu, Joelle E Sarlls, Amritha Nayak, Carlo Pierpaoli

Abstract read
In one paragraph

Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. White matter compromise in autism? Differentiating motion confounds from true differences in diffusion tensor imaging.Autism research : official journal of the International Society for Autism Research · 2017
    Article
  7. Review
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.

Madison M BerlDivision of Pediatric Neuropsychology, Washington, District of Columbia, Children's Research Institute, Children's National Health System, Washington, DC.
Lindsay WalkerProgram on Pediatric Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.
Pooja ModiProgram on Pediatric Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.
M Okan IrfanogluProgram on Pediatric Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.
Joelle E SarllsNMRF, NINDS, National Institutes of Health, Bethesda, Maryland.
Amritha NayakProgram on Pediatric Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.
Carlo PierpaoliProgram on Pediatric Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.

Funding

NEUROIMAGING COREP30HD040677 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI VITTORIO GALLO, VITTORIO GALLO VITTORIO GALLO · 2001 to 2015
$15.9M
Cognitive Impairment Moderated by Working Memory in Pediatric Partial EpilepsyK23NS065121 · NINDS · CHILDREN'S RESEARCH INSTITUTE · PI BERL, MADISON MEHALANI · 2011 to 2015
$825k
NICHD NIH HHS P30 HD040677NICHD NIH HHS P30HD040677NINDS NIH HHS K23 NS065121NINDS NIH HHS K23NS065121-01A2
6 · The paper itself

Abstract

It has been reported that mechanical vibrations of the magnetic resonance imaging scanner could produce spurious signal dropouts in diffusion-weighted images resulting in artifactual anisotropy in certain regions of the brain with red appearance in the Directionally Encoded Color maps. We performed a review of the frequency of this artifact across pediatric studies, noting differences by scanner manufacturer, acquisition protocol, as well as weight and position of the subject. We also evaluated the ability of automated and quantitative methods to detect this artifact. We found that the artifact may be present in over 50% of data in certain protocols and is not limited to one scanner manufacturer. While a specific scanner had the highest incidence, low body weight and positioning were also associated with appearance of the artifact for both scanner types evaluated, making children potentially more susceptible than adults. Visual inspection remains the best method for artifact identification. Software for automated detection showed very low sensitivity (10%). The artifact may present inconsistently in longitudinal studies. We discuss a published case report that has been widely cited and used as evidence to set policy about diagnostic criteria for determining vegetative state. That report attributed longitudinal changes in anisotropy to white matter plasticity without considering the possibility that the changes were caused by this artifact. Our study underscores the need to check for the presence of this artifact in clinical studies, analyzes circumstances for when it may be more likely to occur, and suggests simple strategies to identify and potentially avoid its effects.

Indexed as

ArtifactsDiffusion Magnetic Resonance ImagingPediatricsAdolescentAdultAnalysis of VarianceAnisotropyBrainBrain MappingChildChi-Square DistributionDatabases, FactualFemaleHumansImage Processing, Computer-AssistedMalediffusion tensor imagingpositionqualityregrowthweight

Identifiers

PMID26350492
PMCPMC4715600

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Registered trials

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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.