Evidence map›Paper›PMID 30543850›Full record

ArticleMagnetic resonance imaging2019

Diffusion MRI detects longitudinal white matter changes in the 3xTg-AD mouse model of Alzheimer's disease.

Xingju Nie, Maria Fatima Falangola, Ralph Ward, Emilie T McKinnon, Joseph A Helpern, Paul J Nietert, Jens H Jensen

Abstract read
In one paragraph

Article in Magnetic resonance imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

7 authors.

Xingju NieDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA. Electronic address: niexi@musc.edu.
Maria Fatima FalangolaDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA.
Ralph WardDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
Emilie T McKinnonDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Neurology, Medical University of South Carolina, Charleston, SC, USA.
Joseph A HelpernDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Neurology, Medical University of South Carolina, Charleston, SC, USA; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Paul J NietertDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
Jens H JensenDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.

Funding

Interdisciplinary Research Training in Otolaryngology and Communication SciencesT32DC014435 · NIDCD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DUBNO, JUDY R · 2015 to 2024
$2.9M
Diffusion and Functional MRI Monitoring of Therapy Response in Alzheimer’s Disease Mouse ModelR01AG057602 · NIA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MARIA F FALANGOLA, JENS H JENSEN · 2023 to 2026
$2.7M
Assessing Brain Microstructure in Alzheimer's Disease with Advanced Diffusion MRIRF1AG057602 · NIA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI FALANGOLA, MARIA F, JENSEN, JENS H · 2018 to 2018
$2.1M
NIA NIH HHS R01 AG057602NIA NIH HHS RF1 AG057602NIDCD NIH HHS T32 DC014435
6 · The paper itself

Abstract

The sensitivity of multiple diffusion MRI (dMRI) parameters to longitudinal changes in white matter microstructure was investigated for the 3xTg-AD transgenic mouse model of Alzheimer's disease, which manifests both amyloid beta plaques and neurofibrillary tangles. By employing a specific dMRI method known as diffusional kurtosis imaging, eight different diffusion parameters were quantified to characterize distinct aspects of water diffusion. Four female 3xTg-AD mice were imaged at five time points, ranging from 4.5 to 18 months of age, and the diffusion parameters were investigated in four white matter regions (fimbria, external capsule, internal capsule and corpus callosum). Significant changes were observed in several diffusion parameters, particularly in the fimbria and in the external capsule, with a statistically significant decrease in diffusivity and a statistically significant increase in kurtosis. Our preliminary results demonstrate that dMRI can detect microstructural changes in white matter for the 3xTg-AD mouse model due to aging and/or progression of pathology, depending strongly on the diffusion parameter and anatomical region.

Indexed as

Alzheimer DiseaseAnimalsDiffusion Magnetic Resonance ImagingDisease Models, AnimalDisease ProgressionFemaleHumansMiceMice, TransgenicNeurofibrillary TanglesPlaque, AmyloidWhite Matter3xTg-AD mouseAlzheimer's diseaseDiffusional kurtosis imagingDiffusion MRIWhite matter

Identifiers

PMID30543850
PMCPMC6331227

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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.