Evidence map›Paper›PMID 33709225›Full record

ArticleMagma (New York, N.Y.)2021

Multiple b-values improve discrimination of cortical gray matter regions using diffusion MRI: an experimental validation with a data-driven approach.

Tara Ganepola, Yoojin Lee, Daniel C Alexander, Martin I Sereno, Zoltan Nagy

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Topological Maps and Brain Computations From Low to High.Frontiers in systems neuroscience · 2022
    Article
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

5 authors.

Tara GanepolaDepartment of Cognitive, Perceptual and Brain Sciences, University College London, London, UK.
Yoojin LeeLaboratory for Social and Neural Systems Research, University of Zurich, Rämistrasse 100, P.O. Box 149, Zurich, Switzerland.
Daniel C AlexanderCenter for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Martin I SerenoDepartment of Cognitive, Perceptual and Brain Sciences, University College London, London, UK.
Zoltan NagyLaboratory for Social and Neural Systems Research, University of Zurich, Rämistrasse 100, P.O. Box 149, Zurich, Switzerland. zoltan.nagy@uh.ch.ORCID http://orcid.org/0000-0001-6611-6362

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Cognitive functions of multisensory cortical mapsR01MH081990 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SERENO, MARTIN IRENAEUS · 2009 to 2013
$1.8M
Engineering and Physical Sciences Research Council EP/M020533/1Engineering and Physical Sciences Research Council EP/N018702/1National Institutes of Health (US) MH081990NIMH NIH HHS R01 MH081990NIMH NIH HHS U54 MH091657Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 31003A_166118Wellcome TrustWellcome Trust 091593/Z/10/Z
6 · The paper itself

Abstract

objectiveTo investigate whether varied or repeated b-values provide better diffusion MRI data for discriminating cortical areas with a data-driven approach.

methodsData were acquired from three volunteers at 1.5T with b-values of 800, 1400, 2000 s/mm

resultsThree different b-values showed an average improvement in correct classification rates of 5.6% and 4.6%, respectively, in the local and HCP data over repeated measurements of the same b-value. The improvement in correct classification rate reached as high as 16% for individual binary classification experiments between two ROIs. Often using only two of the available three b-values were adequate to make such an improvement in classification rates.

conclusionAcquisitions with varying b-values are more suitable for discriminating cortical areas.

Indexed as

ConnectomeGray MatterBrainDiffusion Magnetic Resonance ImagingHumansImage Processing, Computer-AssistedBrodmann mapCortical parcellationDiffusion MRIIn-vivo histologyMicrostructural imaging

Identifiers

PMID33709225
PMCPMC8421285

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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.