Evidence map›Paper›PMID 36116712›Full record

ArticleMagnetic resonance imaging2022

Brain microstructure abnormalities in the 3xTg-AD mouse - A diffusion MRI and morphology correlation study.

Maria Fatima Falangola, Xingju Nie, Joshua Voltin, Ralph Ward, Siddhartha Dhiman, Paul J Nietert, Jens H Jensen

Abstract read
In one paragraph

Article in Magnetic resonance imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

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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.

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. Electronic address: falangol@musc.edu.
Xingju NieDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA.
Joshua VoltinDepartment 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.
Siddhartha DhimanDepartment of Neuroscience, 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

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 RF1 AG057602
6 · The paper itself

Abstract

The widely studied triple transgenic (3xTg-AD) mouse provides a robust model of Alzheimer's disease (AD) with region dependent patterns of progressive amyloid-β (Aß) and tau pathology. Using diffusion MRI (dMRI), we investigated the sensitivity of dMRI measures in capturing AD pathology associated microstructure alterations in older 3xTg-AD mice, and the degree to which dMRI changes correlate with measurements of Aβ and tau pathology. 3xTg-AD and normal control (NC) mice, 15 to 21 months of age, were used in this study. In vivo dMRI data were acquired for the generation of diffusion tensor (DT) and diffusional kurtosis (DK) measures within the hippocampus and fimbria (Fi). For these same brain regions, Aβ and tau pathology were quantified by morphological analysis of Aß1-42 and AT8 immunoreactivity. Two-tailed, two-sample t-tests were performed to assess group differences in each brain region of interest (ROI), with the Benjamini-Hochberg false discovery rate (FDR) method being applied to adjust for multiple comparisons. Spearman correlation coefficients were calculated to investigate associations between diffusion and morphological measures. Our results revealed, depending on the brain region, DT and DK measures were able to detect group differences. In the dorsal hippocampus (HD), fractional anisotropy (FA) was significantly higher in the 3xTg-AD mice compared with NC mice. In the subiculum (SUB), FA, axial diffusivity (D

Indexed as

Alzheimer DiseaseAgedAmyloid beta-PeptidesAnimalsBrainCorrelation of DataDiffusion Magnetic Resonance ImagingDisease Models, AnimalHumansMiceMice, TransgenicAmyloid beta-Peptides3xTg-AD mouseAlzheimer's diseaseDiffusional kurtosis imagingDiffusion MRI

Identifiers

PMID36116712
PMCPMC9695071

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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.