Whole brain imaging reveals distinct spatial patterns of amyloid beta deposition in three mouse models of Alzheimer’s disease
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Abstract
A variety of Alzheimer's disease (AD) mouse models overexpress mutant forms of human amyloid precursor protein (APP), producing high levels of amyloid β (Aβ) and forming plaques. However, the degree to which these models mimic spatiotemporal patterns of Aβ deposition in brains of AD patients is unknown. Here, we mapped the spatial distribution of Aβ plaques across age in three APP‐overexpression mouse lines (APP/PS1, Tg2576, and hAPP‐J20) using in vivo labeling with methoxy‐X04, high throughput whole brain imaging, and an automated informatics pipeline. Images were acquired with high resolution serial two‐photon tomography and labeled plaques were detected using custom‐built segmentation algorithms. Image series were registered to the Allen Mouse Brain Common Coordinate Framework, a 3D reference atlas, enabling automated brain‐wide quantification of plaque density, number, and location. In both APP/PS1 and Tg2576 mice, plaques were identified first in isocortex, followed by olfactory, hippocampal, and cortical subplate areas. In hAPP‐J20 mice, plaque density was highest in hippocampal areas, followed by isocortex, with little to no involvement of olfactory or cortical subplate areas. Within the major brain divisions, distinct regions were identified with high (or low) plaque accumulation; for example, the lateral visual area within the isocortex of APP/PS1 mice had relatively higher plaque density compared with other cortical areas, while in hAPP‐J20 mice, plaques were densest in the ventral retrosplenial cortex. In summary, we show how whole brain imaging of amyloid pathology in mice reveals the extent to which a given model recapitulates the regional Aβ deposition patterns described in AD.
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By registering whole brain images of p-tau deposition in PS19 mice into the annotated Allen CCFv3, we identified seven regions which consistently exhibited pathology at 6mo and all later ages.
“By registering whole brain images of p-tau deposition in PS19 mice into the annotated Allen CCFv3, similar to recent studies (Whitesell et al., 2019; Cornblath et al., 2021), we identified seven regions which consistently exhibited pathology at 6mo and all later ages.”
From Spontaneous pathology in PS19 tauopathy mice progresses via brain networks (2025) · cites this paper as Whitesell et al., 2019
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Spontaneous pathology in PS19 tauopathy mice progresses via brain networks
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Two novel mouse models of slow-wave-sleep enhancement in aging and Alzheimer’s disease
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Fibrillar Aβ causes profound microglial metabolic perturbations in a novel APP knock-in mouse modelPreprint
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Variation in Group Composition Alters an Early-Stage Social Phenotype in hAPP-Transgenic J20 Mice
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Translating brain anatomy and disease from mouse to human in latent gene expression space
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Generalized plaque digitization framework for multi-dimensional mesoscopic images
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Early disruptions in brain capillary blood flow control in a mouse model of Alzheimer’s disease
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Weakly supervised learning analysis of Aβ plaque distribution in the whole rat brain
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Brain image data processing using collaborative data workflows on Texera
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MRI analysis of brain connectivity in a mouse model of Alzheimer’s disease
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M13 phage grafted with peptide motifs as a tool to detect amyloid-β oligomers in brain tissue
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The Journal of Comparative Neurology, Table of Content, Vol. 527, No. 13, September 1, 2019
(2019) · The Journal of Comparative Neurology · doi:10.1002/cne.24731
Revealing hidden knowledge in amnestic micePreprint
Santi, A., Moore, S., Fogelson, K. A., Wang, A. H., Lawlor, J., Amato, J., Burke, K., Lauer, A. M., & Kuchibhotla, K. V. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.09.632026
Vega, M. R., Hansen, H. H., Jensen, C. S., Alexiou, E., Madsen, M. R., Wichern, F., Skytte, J. L., Salinas, C. G., Sotty, F., Jensen, A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.14.638216
Simon, Z. D., McFarland, K. N., Golde, T. E., Chakrabarty, P., & Febo, M. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251378778
Margetts‐Smith, G., Andrianova, L., Kohli, S., Randall, A. D., Aggleton, J. P., Witton, J., & Craig, M. T. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.01.691675
Xia, D., Lianoglou, S., Sandmann, T., Calvert, M., Suh, J. H., Thomsen, E. R., Dugas, J. C., Pizzo, M. E., DeVos, S. L., Earr, T., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20056383
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Self-citationContribution de la voie Wnt dans la stabilité de la barrière hémato-encéphalique
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Role of the thalamic nucleus reuniens in the cortico-hippocampal coupling and memory consolidation
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Circadian disruption induces sex-specific Alzheimer’s pathophysiology and immune cell reprogrammingPreprint
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Sloan, L. J., Garceau, D. T., Ryan, N., Pomeroy-Tuck, J., Chidambaram, R., Ragan, T., Pandey, R. S., Bloss, E. B., Carter, G. W., Oblak, A. L., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.08.750179 · Cited by 1 · see citing works
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A validated deep learning workflow for 3D quantification of amyloid plaques in cleared mouse brain
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High-throughput serial two-photon tomography with BakingTray and BrainSawPreprint
Campbell, R. A. A., Anderson, K. I., Ayaz, A., Beaurepaire, E., Blanc, H., Blot, A., Boffi, J. C., Bonin, V., Chan, H., Clark, B. A., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.28.748989
Zhu, Y., Yang, D., chen, J., wang, Q., Xiong, W., wang, J., chen, H., Verkhratsky, A., & Yi, C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.30.755839
- Authors
- Whitesell, J. D., Buckley, A. R., Knox, J. E., Kuan, L., Graddis, N., Pelos, A., Mukora, A., Wakeman, W., Bohn, P., Ho, A., Hirokawa, K. E., & Harris, J. A.
- Affiliations
- Allen Institute for Brain Science (US)
- Washington University in St. Louis (US)
- Corresponding author
- Harris, Julie A.
- ORCID
- Venue
- Journal of Comparative Neurology
- Publisher
- Wiley
- Published
- 2018-12-04
- Volume
- 527
- Issue
- 13
- Pages
- 2122-2145
- ISSN
- 0021-9967 (ISSN-L)
- 1096-9861
- PMC
- PMC8026112
- OpenAlex
- W2949152232
- Cited by
- 99
- References
- 71
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 7 · 2023: 10 · 2022: 17 · 2021: 24 · 2020: 5 · 2019: 14
- FWCI
- 7.39
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- The Journal of Comparative Neurology (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG047589)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, amyloid plaques, amyloid precursor protein overexpression, APP/PS1 mice, Tg2576 mice, plaque density, whole-brain imaging, brain atlas registration, plaque segmentation, hippocampus, neocortex, olfactory bulb, mouse models of Alzheimer's disease
- MeSH terms
- Alzheimer Disease, Animals, Brain, Disease Models, Animal, Image Processing, Computer-Assisted, Mice, Transgenic, Amyloid beta-Peptides, Mice, Neuroimaging
About these checks
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