T1, diffusion tensor, and quantitative magnetization transfer imaging of the hippocampus in an Alzheimer's disease mouse model
Open accessAbstract
Alzheimer's disease (AD) pathology causes microstructural changes in the brain. These changes, if quantified with magnetic resonance imaging (MRI), could be studied for use as an early biomarker for AD. The aim of our study was to determine if T 1 relaxation, diffusion tensor imaging (DTI), and quantitative magnetization transfer imaging (qMTI) metrics could reveal changes within the hippocampus and surrounding white matter structures in ex vivo transgenic mouse brains overexpressing human amyloid precursor protein with the Swedish mutation. Delineation of hippocampal cell layers using DTI color maps allows more detailed analysis of T 1-weighted imaging, DTI, and qMTI metrics, compared with segmentation of gross anatomy based on relaxation images, and with analysis of DTI or qMTI metrics alone. These alterations are observed in the absence of robust intracellular Aβ accumulation or plaque deposition as revealed by histology. This work demonstrates that multiparametric quantitative MRI methods are useful for characterizing changes within the hippocampal substructures and surrounding white matter tracts of mouse models of AD.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Advanced diffusion models-including DKI, NODDI, and SANDI-offer improved sensitivity to microstructural complexity and may provide more biologically informative markers than DTI.
“Advanced diffusion models—including diffusion kurtosis imaging (DKI), neurite orientation dispersion and density imaging (NODDI), and soma and neurite density imaging (SANDI) —offer improved sensitivity to microstructural complexity and may provide more biologically informative markers than DTI.”
From Diffusion MRI reveals amyloid plaque–associated cellular signatures through spatial transcriptomic integration (2026) · cites this paper as [22]
The Introduction discusses DTI measures, and Methods > Imaging Data Analysis describes fitting diffusion tensors; neither addresses the claimed advantage of advanced diffusion models. Searches for DKI, NODDI, SANDI, and comparisons of their microstructural sensitivity with DTI found no relevant passage in our copy. Page numbers were not provided. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 72 · Cited by 12
- Authors
- Whittaker, H. T., Zhu, S., Di Curzio, D. L., Buist, R., Li, X.-M., Noy, S., Wiseman, F. K., Thiessen, J. D., & Martin, M.
- Affiliations
- UCL Queen Square Institute of Neurology (GB)
- University of Manitoba (CA)
- University of Alberta (CA)
- Western University (CA)
- Corresponding author
- Whittaker, Heather T.
- ORCID
- Venue
- Magnetic Resonance Imaging
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 50
- Pages
- 26-37
- ISSN
- 0730-725X (ISSN-L)
- PMC
- PMC6461204
- OpenAlex
- W2792160103
- Cited by
- 12
- References
- 72
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 1
- FWCI
- 0.86
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Magnetic Resonance Imaging (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada (RGPIN 299690-2013)
- Research Manitoba
- Canada Foundation for Innovation (13217)
- Manitoba Research and Innovation Fund
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, hippocampus, T1 relaxation, diffusion tensor imaging, amyloid precursor protein transgenic mice, Swedish mutation, white matter microstructure, multiparametric MRI, early biomarkers, amyloid-beta
- MeSH terms
- Alzheimer Disease, Animals, Disease Models, Animal, Hippocampus, Humans, Image Processing, Computer-Assisted, Male, Mice, Transgenic, Diffusion Magnetic Resonance Imaging, Mice, Diffusion Tensor Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review