Evidence map›Paper›PMID 30174584›Full record

ArticleFrontiers in neuroscience2018

Detection and Distinction of Mild Brain Injury Effects in a Ferret Model Using Diffusion Tensor MRI (DTI) and DTI-Driven Tensor-Based Morphometry (D-TBM).

Elizabeth B Hutchinson, Susan C Schwerin, Kryslaine L Radomski, Neda Sadeghi, Michal E Komlosh, M O Irfanoglu, Sharon L Juliano, Carlo Pierpaoli

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Significant Acceleration of Regional Brain Aging and Atrophy After Mild Traumatic Brain Injury.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
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  7. Article
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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

8 authors.

Elizabeth B HutchinsonSection on Quantitative Medical Imaging, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, United States.
Susan C SchwerinThe Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
Kryslaine L RadomskiThe Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
Neda SadeghiSection on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States.
Michal E KomloshThe Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
M O IrfanogluSection on Quantitative Medical Imaging, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, United States.
Sharon L JulianoDepartment of Anatomy, Physiology, and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Carlo PierpaoliSection on Quantitative Medical Imaging, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, United States.

Funding

Processing and Analysis of Quantitative Diffusion MRI DataZIHEB000088 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI PIERPAOLI, CARLO · 2017 to 2022
$4.5M
Quantitative Imaging in experimental models of traumatic brain injuryZIAEB000089 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI PIERPAOLI, CARLO · 2017 to 2020
$1.7M
6 · The paper itself

Abstract

Mild traumatic brain injury (mTBI) is highly prevalent but lacks both research tools with adequate sensitivity to detect cellular alterations that accompany mild injury and pre-clinical models that are able to robustly mimic hallmark features of human TBI. To address these related challenges, high-resolution diffusion tensor MRI (DTI) analysis was performed in a model of mild TBI in the ferret - a species that, unlike rodents, share with humans a gyrencephalic cortex and high white matter (WM) volume. A set of DTI image analysis tools were optimized and implemented to explore key features of DTI alterations in

Indexed as

controlled cortical impactdiffusion tensor MRIferretmild traumatic brain injurytensor-based morphometrywhite matter

Identifiers

PMID30174584
PMCPMC6107703

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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.