Evidence map›Paper›PMID 27847347›Full record

ArticleNeuroImage2017

A Comparative evaluation of voxel-based spatial mapping in diffusion tensor imaging.

Ryan P Cabeen, Mark E Bastin, David H Laidlaw

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Ryan P CabeenDepartment of Computer Science, Brown University, Providence, RI, USA.
Mark E BastinCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
David H LaidlawDepartment of Computer Science, Brown University, Providence, RI, USA.
Brown University · USUniversity of Edinburgh · GB

Funding

Neuropathogenesis of clade C HIV in South AfricaR01MH085604 · NIMH · UNIVERSITY OF MISSOURI-ST. LOUIS · PI PAUL, ROBERT HARRIS · 2009 to 2013
$2.9M
Neuromarkers of age-related cognitive declineR01NS052470 · NINDS · UNIVERSITY OF MISSOURI-ST. LOUIS · PI PAUL, ROBERT HARRIS · 2007 to 2011
$2.7M
MRI+DTI-Based Tools for Analyzing White Matter VariationR01EB004155 · NIBIB · BROWN UNIVERSITY · PI LAIDLAW, DAVID H · 2005 to 2008
$2.0M
NIBIB NIH HHS R01 EB004155NIMH NIH HHS R01 MH085604NINDS NIH HHS R01 NS052470
6 · The paper itself

Abstract

This paper presents a comparative evaluation of methods for automated voxel-based spatial mapping in diffusion tensor imaging studies. Such methods are an essential step in computational pipelines and provide anatomically comparable measurements across a population in atlas-based studies. To better understand their strengths and weaknesses, we tested a total of eight methods for voxel-based spatial mapping in two types of diffusion tensor templates. The methods were evaluated with respect to scan-rescan reliability and an application to normal aging. The methods included voxel-based analysis with and without smoothing, two types of region-based analysis, and combinations thereof with skeletonization. The templates included a study-specific template created with DTI-TK and the IIT template serving as a standard template. To control for other factors in the pipeline, the experiments used a common dataset, acquired at 1.5T with a single shell high angular resolution diffusion MR imaging protocol, and tensor-based spatial normalization with DTI-TK. Scan-rescan reliability was assessed using the coefficient of variation (CV) and intraclass correlation (ICC) in eight subjects with three scans each. Sensitivity to normal aging was assessed in a population of 80 subjects aged 25-65 years old, and methods were compared with respect to the anatomical agreement of significant findings and the R

Indexed as

Brain MappingDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingAdultAgedAgingAnisotropyBrainFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedPattern Recognition, AutomatedReproducibility of ResultsDiffusion tensor imagingNormal agingRegion-based analysisReliabilityReproducibilitySkeleton-based analysisSpatial mappingVoxel-based analysisWhite matter

Identifiers

PMID27847347
PMCPMC5322202
OpenAlexW2556992409

What OpenQuestion holds

Textmetadata
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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.