Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
605-03-001 ISMRM Abstract

Back to the Future: Predicting Individual Tau Progression in Alzheimer's Disease

Primary: Neuro - Alzheimer's Disease
Secondary: Diffusion - Tractography
605-03-001 · Next-Generation Neuroimaging for Alzheimer’s Disease: From Molecules to Networks · Thursday, 14 May, 4:00 PM–5:50 PM · Ballroom West
Keywords: Neuroscience Alzheimer's Disease Diffusion-Weighted Imaging Brain network Computational Neuroscience
Accepted
Robin Sandell1, Kamalini Ranasinghe2, Srikantan Nagarajan3, Ashish Raj 4
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, United States of America
2Memory and Aging Center, University of California, Berkeley, United States of America
3Department of Radiology and Biomedical Imaging, University of California, Berkeley, United States of America
4Department of Radiology and Biomedical Imaging, University Of California, San Francisco (UCSF), United States of America
Presenting Author: Ashish Raj

Synopsis

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References

1. Aksman, L. M.et al. pysustain: A python implementation of the subtype and stage inference algorithm. SoftwareX 16, 100811, DOI: 10.1016/j.softx.2021.100811 (2021). [doi]
2. Young, A. L. et al. Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with subtype and stage inference. Nat. Commune .9 , 4273, DOI: 10.1038/s41467-018-05892-0 (2018). [doi]
3. Vogel, J. W. et al. Four distinct trajectories of tau deposition identified in Alzheimer’s disease. Nat. Medicine 27, 871–881, DOI: 10.1038/s41591-021-01309-6 (2021). [doi]
4. Raj, A., Kuceyeski, A. & Weiner, M. A network diffusion model of disease progression in dementia.Neuron 73, 1204–15 (2012)
5. Raj, A. et al. (2015). Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer's Disease. Cell Reports, 10(3), 359-369.
6. Anand, C. et al. (2021). The effect of microglial genes on network diffusion of pathology in mouse models of tauopathy. Alzheimer's & Dementia, 17(S5), e052382.
7. Iturria-Medina, Y. (2013). Anatomical brain networks on the prediction of abnormal brain states. Brain Connectivity, 3(1), 1-21.
8. Abdelnour, F., Voss, H. U., & Raj, A. (2014). Network diffusion accurately models the relationship between structural and functional brain connectivity networks. NeuroImage, 90, 335-347.
9. Owen, J. P. et al. (2013). The structural connectome of the human brain in agenesis of the corpus callosum. NeuroImage, 70, 340-355.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/605-03-001