Evidence map›Paper›PMID 34229088›Full record

ArticleMagnetic resonance imaging2021

Diffusion MRI detects basal forebrain cholinergic abnormalities in the 3xTg-AD mouse model of Alzheimer's disease.

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

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

18 citing papers in PubMed, 27 citations in OpenAlex.

  1. Diffusion MRI reveals amyloid plaque-associated cellular signatures through spatial transcriptomic integration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  9. Mean Kärger Model Water Exchange Rate in Brain.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  10. Serial reversal learning in an olfactory discrimination task in 3xTg-AD mice.Learning & memory (Cold Spring Harbor, N.Y.) · 2023
    Article
  11. 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

7 authors at 1 institution in 1 country.

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.
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.
Joshua VoltinDepartment 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.
Medical University of South Carolina · US

Funding

Quantitative Neuroimaging Assessment of White Matter Integrity in the Context of Aging and ADR01AG054159 · NIA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Andreana Benitez · 2017 to 2026
$8.9M
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

Degeneration of the basal forebrain (BF) is detected early in the course of Alzheimer's disease (AD). Reduction in the number of BF cholinergic (ChAT) neurons associated with age-related hippocampal cholinergic neuritic dystrophy is described in the 3xTg-AD mouse model; however, no prior diffusion MRI (dMRI) study has explored the presence of BF alterations in this model. Here we investigated the ability of diffusion MRI (dMRI) to detect abnormalities in BF microstructure for the 3xTg-AD mouse model, along with related pathology in the hippocampus (HP) and white matter (WM) tracks comprising the septo-hippocampal pathway. 3xTg-AD and normal control (NC) mice were imaged in vivo using the specific dMRI technique known as diffusional kurtosis imaging (DKI) at 2, 8, and 15 months of age, and 8 dMRI parameters were measured at each time point. Our results revealed significant lower dMRI values in the BF of 2 months-old 3xTg-AD mice compared with NC mice, most likely related to the increased number of ChAT neurons seen in this AD mouse model at this age. They also showed significant age-related dMRI changes in the BF of both groups between 2 and 8 months of age, mainly a decrease in fractional anisotropy and axial diffusivity, and an increase in radial kurtosis. These dMRI changes in the BF may be reflecting the complex aging and pathological microstructural changes described in this region. Group differences and age-related changes were also observed in the HP, fimbria (Fi) and fornix (Fx). In the HP, diffusivity values were significantly higher in the 2 months-old 3xTg-AD mice, and the HP of NC mice showed a significant increase in axial kurtosis after 8 months, reflecting a normal pattern of increased fiber density complexity, which was not seen in the 3xTg-AD mice. In the Fi, mean and radial diffusivity values were significantly higher, and fractional anisotropy, radial kurtosis and kurtosis fractional anisotropy were significantly lower in the 2 months-old 3xTg-AD mice. The age trajectories for both NC and TG mice in the Fi and Fx were similar between 2 and 8 months, but after 8 months there was a significant decrease in diffusivity metrics associated with an increase in kurtosis metrics in the 3xTg-AD mice. These later HP, Fi and Fx dMRI changes probably reflect the growing number of dystrophic neurites and AD pathology progression in the HP, accompanied by WM disruption in the septo-hippocampal pathway. Our results demonstrate that dMRI can detect early cytoarchitectural abnormalities in the BF, as well as related aging and neurodegenerative changes in the HP, Fi and Fx of the 3xTg-AD mice. Since DKI is widely available on clinical scanners, these results also support the potential of the considered dMRI parameters as in vivo biomarkers for AD disease progression.

Indexed as

Alzheimer DiseaseBasal ForebrainWhite MatterAnimalsCholinergic AgentsDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingMiceCholinergic Agents3xTg-AD mouseAlzheimer's diseaseCholinergic basal forebrainDiffusional kurtosis imagingDiffusion MRIWhite matter

Identifiers

PMID34229088
PMCPMC8449815
OpenAlexW3182752071

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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.