Cited by 41Advanced Neuroimaging Techniques and ApplicationsAlzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Voxel-based diffusion tensor imaging of an APP/PS1 mouse model of Alzheimer’s disease.

Shu, Xiaogang, Qin, Yuan-Yuan, Zhang, Shun, Jiang, Jing-Jing, Zhang, Yan, Zhao, Ling-Yun, Shan, Dai, Zhu, Wen-Zhen·2013·Molecular Neurobiology

Abstract

Increasing evidence has demonstrated that white matter (WM) disruptions, due to the injury of the axon and myelin, play an important role in the pathogenesis of Alzheimer's disease (AD). Diffusion tensor imaging (DTI) is a sensitive modality to evaluate the WM integrity in both AD patients and animal models. In this study, an advanced DTI modality, employing a 7.0-T magnetic resonance imaging system, was used to analyze WM changes across the whole brain of an amyloid precursor protein/presenilin 1 (APP/PS1) mouse model. A voxel-based analysis was used to compare the quantitative DTI parameters automatically in both APP/PS1 mice (n = 9) and wild-type (WT) controls (n = 9). After DTI examination, the ultrastructure analysis was compared with DTI findings. Compared with WT controls, gray matter (GM) areas in APP/PS1 mice such as the cingulate cortex and the striatum showed significant fractional anisotropy (FA) and axial diffusivity (DA) increase, while the thalamus only showed a significant FA increase (p < 0.01). Similarly, a significant mean diffusivity, DA, and radial diffusivity increase was observed in the bilateral neocortex (p < 0.01). The left hippocampus only showed significant FA increase in APP/PS1 mice (p < 0.01). The changes in WM regions were detected in the forceps minor of the corpus callosum, the anterior part of the anterior commissure, and the internal capsule, with a significant FA or DA increase (p < 0.01). Abnormalities derived from diffusion measurements were in-line with the ultrastructure findings, including extensive pathological damage of the neurons, neutrophils, and vessels. In conclusion, voxel-based diffusion tensor imaging can detect diffusion alterations not only in GM but also in WM areas in AD models, reflecting the extensive pathological changes of AD.

Integrity signals

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Crossref · 10.1007/s12035-013-8418-6

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Authors
Shu, X., Qin, Y.-Y., Zhang, S., Jiang, J.-J., Zhang, Y., Zhao, L.-Y., Shan, D., & Zhu, W.-Z.
Affiliations
  • Wuhan Union Hospital (CN)
  • Tongji Hospital (CN)
  • Chinese Academy of Sciences (CN)
Corresponding author
Shan, Dai
Venue
Molecular Neurobiology
Published
2013-03-06
Volume
48
Issue
1
Pages
78-83
ISSN
  • 0893-7648 (ISSN-L)
  • 1559-1182
OpenAlex
W2084136386
Cited by
41
References
31
Citations by year
2025: 2 · 2024: 2 · 2023: 5 · 2022: 3 · 2021: 2 · 2020: 6 · 2019: 5 · 2018: 2 · 2017: 3 · 2016: 3 · 2015: 5 · 2014: 3
FWCI
2.84
Type
journal article
Language
en
Open access
closed
Locations
  • Molecular Neurobiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
Alzheimer's disease, APP/PS1 mice, white matter integrity, fractional anisotropy, axial diffusivity, mean diffusivity, radial diffusivity, amyloid precursor protein, presenilin 1, corpus callosum, anterior commissure, internal capsule, hippocampus, cingulate cortex, striatum, thalamus, neocortex
MeSH terms
Alzheimer Disease, Animals, Disease Models, Animal, Hippocampus, Mice, Transgenic, Amyloid beta-Protein Precursor, Anisotropy, Neocortex, Mice, Presenilin-1, Diffusion Tensor Imaging

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