Evidence map›Paper›PMID 28673882›Full record

ReviewNeuroImage2018

Evaluating g-ratio weighted changes in the corpus callosum as a function of age and sex.

Shai Berman, Kathryn L West, Mark D Does, Jason D Yeatman, Aviv A Mezer

Open access · greenAbstract readReview
In one paragraph

Review in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
9.0field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 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

5 authors at 3 institutions in 2 countries.

Shai BermanThe Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
Kathryn L WestDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.
Mark D DoesDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.
Jason D YeatmanInstitute for Learning & Brain Sciences and Department of Speech & Hearing Sciences, University of Washington, Seattle, WA, USA.
Aviv A MezerThe Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel. Electronic address: aviv.mezer@elsc.huji.ac.il.
Hebrew University of Jerusalem · ILVanderbilt University · USUniversity of Washington · US

Funding

Development of Face Perception: Cross-sectional and Longitudinal InvestigationsR01EY022318 · NEI · STANFORD UNIVERSITY · PI GRILL-SPECTOR, KALANIT · 2012 to 2022
$5.2M
HUMAN VISUAL PATHWAYS DEVELOPMENT AND SKILLED READINGR01EY015000 · NEI · STANFORD UNIVERSITY · PI WANDELL, BRIAN A · 2003 to 2012
$4.9M
Functional-neuroanatomy of high-level visual cortex: a quantitative multimodal approachR01EY023915 · NEI · STANFORD UNIVERSITY · PI Kalanit Grill-Spector · 2014 to 2026
$4.6M
MRI Toolbox for Rodent Brain Microstructure ImagingR01EB019980 · NIBIB · VANDERBILT UNIVERSITY · PI DOES, MARK D · 2016 to 2019
$1.8M
NEI NIH HHS R01 EY015000NEI NIH HHS R01 EY022318NEI NIH HHS R01 EY023915NIBIB NIH HHS R01 EB019980
6 · The paper itself

Abstract

Recent years have seen a growing interest in relating MRI measurements to the structural-biophysical properties of white matter fibers. The fiber g-ratio, defined as the ratio between the inner and outer radii of the axon myelin sheath, is an important structural property of white matter, affecting signal conduction. Recently proposed modeling methods that use a combination of quantitative-MRI signals, enable a measurement of the fiber g-ratio in vivo. Here we use an MRI-based g-ratio estimation to observe the variance of the g-ratio within the corpus callosum, and evaluate sex and age related differences. To estimate the g-ratio we used a model (Stikov et al., 2011; Duval et al., 2017) based on two different WM microstructure parameters: the relative amounts of myelin (myelin volume fraction, MVF) and fibers (fiber volume fraction, FVF) in a voxel. We derived the FVF from the fractional anisotropy (FA), and estimated the MVF by using the lipid and macromolecular tissue volume (MTV), calculated from the proton density (Mezer et al., 2013). In comparison to other methods of estimating the MVF, MTV represents a stable parameter with a straightforward route of acquisition. To establish our model, we first compared histological MVF measurements (West et al., 2016) with the MRI derived MTV. We then implemented our model on a large database of 92 subjects (44 males), aged 7 to 81, in order to evaluate age and sex related changes within the corpus callosum. Our results show that the MTV provides a good estimation of MVF for calculating g-ratio, and produced values from the corpus callosum that correspond to those found in animals ex vivo and are close to the theoretical optimum, as well as to published in vivo data. Our results demonstrate that the MTV derived g-ratio provides a simple and reliable in vivo g-ratio-weighted (GR*) measurement in humans. In agreement with theoretical predictions, and unlike other tissue parameters measured with MRI, the g-ratio estimations were found to be relatively stable with age, and we found no support for a significant sexual dimorphism with age.

Indexed as

Human DevelopmentSex CharacteristicsAdolescentAdultAgedAge FactorsChildCorpus CallosumDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedYoung AdultAgeCorpus callosumg-ratioSex

Identifiers

PMID28673882
PMCPMC5748016
OpenAlexW2728927545

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.