Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
563-01-006 ISMRM Abstract

Anatomical brain MRI characterization of the Ts66Yah mouse model of Down Syndrome and effects of in utero DYRK1A inhibition

Primary: Neuro - Development
Secondary: Preclinical Animal & in vitro MR - Small Animals
563-01-006 · Novel Neuro Applications · Wednesday, 13 May, 8:20 AM–9:15 AM · Digital Posters Row D
Keywords: Down Syndrome Voxel-Based Morphometry (VBM) Brain MRI Cognitive deficits In utero treatment
Accepted
Aude KLEIN 1,2, Julien CAILLETTE1,2, Arnaud DUCHON2, Marion RAME1, Mary MONDINO1, Marion Sourty1, Mubarak Olaoluwa3, Hassen Drira3, Matthieu AGUILERA4, Julien PONTABRY1, Yann HERAULT2, Laura-Adela HARSAN1,5
1IMIS (Integrative Multimodal Imaging in Healthcare) Team, ICube, CNRS, University of Strasbourg, Strasbourg, France
2IGBMC, University of Strasbourg-CNRS-INSERM, Illkirch-Graffenstaden, France
3IMAGeS (Images, Modeling, Learning, Geometry and Statistics) Team, ICube, CNRS, University of Strasbourg, Strasbourg, France
4LNCA, University of Strasbourg-CNRS, Strasbourg, France
5Department of Biophysics and Nuclear Medicine, University Hospital of Strasbourg, Strasbourg, France
Presenting Author: Aude KLEIN

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References

1. Bull M. J. Down syndrome. New England Journal of Medicine.2020;382(24), 2344-2352, doi:10.1056/NEJMra1706537 [doi]
2. Carducci F., Onorati P., Condoluci C., et al. Whole-brain voxel-based morphometry study of children and adolescents with Down syndrome. Functional neurology. 2013;28(1), 19, PMID: 23731912 [pmid]
3. Atas-Ozcan H., Brault V., Duchon A. et al. Dyrk1a from gene function in development and physiology to dosage correction across life span in down syndrome. Genes. 2021;12(11), 1833, https://doi.org/10.3390/genes12111833 [doi]
4. Nguyen T. L., Duchon A., Manousopoulou A., et al. Correction of cognitive deficits in mouse models of Down syndrome by a pharmacological inhibitor of DYRK1A. Disease models & mechanisms. 2018;11(9), dmm035634, doi:10.1242/dmm.035634 [doi]
5. Lindberg M. F., Deau E., Miege F., et al. Chemical, biochemical, cellular, and physiological characterization of Leucettinib-21, a Down syndrome and Alzheimer’s disease drug candidate. Journal of Medicinal Chemistry. 2023;66(23), 15648-15670, https://doi.org/10.1021/acs.jmedchem.3c01888 [doi]
6. Duchon A., del Mar Muñiz Moreno M., Chevalier C., et al. Ts66Yah, a mouse model of Down syndrome with improved construct and face validity. Disease Models & Mechanisms.2022;15(12), dmm049721, doi:10.1242/dmm.049721 [doi]
7. Reeves R. H., Irving N. G., Moran TH., et al. A mouse model for Down syndrome exhibits learning and behaviour deficits. Nature genetics. 1995;11(2), 177-184, PMID: 7550346 [pmid]
8. Olaoluwa M., Drira H., Abdallah I., et al. A Skeleton-based Geometric Deep Neural Network for Alzheimer’s Disease Mice Behavioral Analysis. In 2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG) (pp. 1-10). IEEE, 2025, doi: 10.1109/FG61629.2025.11099128 [doi]
9. Mathis A., Mamidanna P., Cury K. M., et al. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nature neuroscience. 2018;21(9), 1281-1289, https://doi.org/10.1038/s41593-018-0209-y [doi]

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http://echo.ismrm.org/p/ISMRM2026/563-01-006