Evidence map›Paper›PMID 28542381›Full record

ArticlePloS one2017

Quantitative magnetic resonance imaging of brain atrophy in a mouse model of Niemann-Pick type C disease.

John W Totenhagen, Adam Bernstein, Eriko S Yoshimaru, Robert P Erickson, Theodore P Trouard

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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  8. 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.

John W TotenhagenBiomedical Engineering Program, University of Arizona, Tucson, Arizona, United States of America.
Adam BernsteinBiomedical Engineering Program, University of Arizona, Tucson, Arizona, United States of America.
Eriko S YoshimaruBiomedical Engineering Program, University of Arizona, Tucson, Arizona, United States of America.
Robert P EricksonDepartment of Pediatrics, University of Arizona, Tucson, Arizona, United States of America.
Theodore P TrouardBiomedical Engineering Program, University of Arizona, Tucson, Arizona, United States of America.ORCID http://orcid.org/0000-0001-9461-2283

Funding

Graduate Training in Biomedical Imaging SpectrocopyT32EB000809 · NIBIB · UNIVERSITY OF ARIZONA · PI GMITRO, ARTHUR F. · 2003 to 2018
$3.3M
NIBIB NIH HHS T32 EB000809
6 · The paper itself

Abstract

In vivo magnetic resonance imaging (MRI) was used to investigate regional and global brain atrophy in the neurodegenerative Niemann Pick Type C1 (NPC1) disease mouse model. Imaging experiments were conducted with the most commonly studied mouse model of NPC1 disease at early and late disease states. High-resolution in vivo images were acquired at early and late stages of the disease and analyzed with atlas-based registration to obtain measurements of twenty brain region volumes. A two-way ANOVA analysis indicated eighteen of these regions were different due to genotype and thirteen showed a significant interaction with age and genotype. The ability to measure in vivo neurodegeneration evidenced by brain atrophy adds to the ability to monitor disease progression and treatment response in the mouse model.

Indexed as

AnimalsAtrophyBrainDisease Models, AnimalHeredodegenerative Disorders, Nervous SystemHumansIntracellular Signaling Peptides and ProteinsMagnetic Resonance ImagingMiceMice, KnockoutNeuroimagingNiemann-Pick C1 ProteinNiemann-Pick Disease, Type CProteinsIntracellular Signaling Peptides and ProteinsNiemann-Pick C1 ProteinNpc1 protein, mouseProteins

Identifiers

PMID28542381
PMCPMC5443551

What OpenQuestion holds

Textmetadata
LicenceCC0
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.