Evidence map›Paper›PMID 29239832›Full record

ReviewDevelopmental cognitive neuroscience2018

Magnetic resonance elastography for examining developmental changes in the mechanical properties of the brain.

Curtis L Johnson, Eva H Telzer

Erratum issuedAbstract readReview
In one paragraph

Review in Developmental cognitive neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  15. Myelination dictates axonal viscoelasticity.The European journal of neuroscience · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Curtis L JohnsonDepartment of Biomedical Engineering, University of Delaware, 150 Academy St., Newark, DE 19716, United States. Electronic address: clj@udel.edu.
Eva H TelzerDepartment of Psychology and Neuroscience, University of North Carolina, 235 E Cameron Ave, Chapel Hill, NC 27599, United States. Electronic address: ehtelzer@unc.edu.

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Shawn W Polson · 2012 to 2026
$67.2M
Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Susan Poland Giancola · 2013 to 2026
$60.5M
Incorporating the Social Context into Neurocognitive Models of Adolescent Risk TakingR01DA039923 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TELZER, EVA HAIMO · 2015 to 2019
$2.7M
NIDA NIH HHS R01 DA039923NIGMS NIH HHS P20 GM103446NIGMS NIH HHS U54 GM104941
6 · The paper itself

Abstract

Magnetic resonance elastography (MRE) is a quantitative imaging technique for noninvasively characterizing tissue mechanical properties, and has recently emerged as a valuable tool for neuroimaging. The measured mechanical properties reflect the microstructural composition and organization of neural tissue, and have shown significant effects in many neurological conditions and normal, healthy aging, and evidence has emerged supporting novel relationships between mechanical structure and cognitive function. The sensitivity of MRE to brain structure, function, and health make it an ideal technique for studying the developing brain; however, brain MRE studies on children and adolescents have only just begun. In this article, we review brain MRE and its findings, discuss its potential role in developmental neuroimaging, and provide suggestions for researchers interested in adopting this technique.

Indexed as

BrainElasticity Imaging TechniquesHumansNeuroimagingBrainDevelopmentElastographyStiffnessViscoelasticity

Identifiers

PMID29239832
PMCPMC5832528

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.