Evidence map›Paper›PMID 27436169›Full record

ArticleHuman brain mapping2016

Assessing the performance of different DTI motion correction strategies in the presence of EPI distortion correction.

Paul A Taylor, A Alhamud, Andre van der Kouwe, Muhammad G Saleh, Barbara Laughton, Ernesta Meintjes

Abstract read
In one paragraph

Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Paul A TaylorDepartment of Human Biology, Faculty of Health Sciences, MRC/UCT Medical Imaging Research Unit, University of Cape Town, South Africa.
A AlhamudDepartment of Human Biology, Faculty of Health Sciences, MRC/UCT Medical Imaging Research Unit, University of Cape Town, South Africa.
Andre van der KouweDepartment of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
Muhammad G SalehDepartment of Human Biology, Faculty of Health Sciences, MRC/UCT Medical Imaging Research Unit, University of Cape Town, South Africa.
Barbara LaughtonDepartment of Paediatrics and Child Health, Stellenbosch University, Children's Infection Diseases Clinical Research Unit, South Africa.
Ernesta MeintjesDepartment of Human Biology, Faculty of Health Sciences, MRC/UCT Medical Imaging Research Unit, University of Cape Town, South Africa.

Funding

Scientific and Statistical Computing CoreZICMH002888 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI TAYLOR, PAUL · 2009 to 2025
$30.9M
Longitudinal Neuroimaging and Cognitive Study of HIV-Infected ChildrenR01HD071664 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI LAUGHTON, BARBARA, MEINTJES, ERNESTA MARIA · 2011 to 2015
$2.4M
Technology development and neuroimaging for 5 year old children with HIV infectioR21MH096559 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI LAUGHTON, BARBARA, MEINTJES, ERNESTA MARIA · 2011 to 2012
$287k
NICHD NIH HHS R01 HD071664NIMH NIH HHS R21 MH096559
6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) is susceptible to several artifacts due to eddy currents, echo planar imaging (EPI) distortion and subject motion. While several techniques correct for individual distortion effects, no optimal combination of DTI acquisition and processing has been determined. Here, the effects of several motion correction techniques are investigated while also correcting for EPI distortion: prospective correction, using navigation; retrospective correction, using two different popular packages (FSL and TORTOISE); and the combination of both methods. Data from a pediatric group that exhibited incidental motion in varying degrees are analyzed. Comparisons are carried while implementing eddy current and EPI distortion correction. DTI parameter distributions, white matter (WM) maps and probabilistic tractography are examined. The importance of prospective correction during data acquisition is demonstrated. In contrast to some previous studies, results also show that the inclusion of retrospective processing also improved ellipsoid fits and both the sensitivity and specificity of group tractographic results, even for navigated data. Matches with anatomical WM maps are highest throughout the brain for data that have been both navigated and processed using TORTOISE. The inclusion of both prospective and retrospective motion correction with EPI distortion correction is important for DTI analysis, particularly when studying subject populations that are prone to motion. Hum Brain Mapp 37:4405-4424, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

ArtifactsMotionBrainChildDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleWhite Matterdiffusion tensor imagingecho planar imaging volumetric navigatorfractional anisotropymotion correctiontractography

Identifiers

PMID27436169
PMCPMC5118068

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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.