Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
507-02-003 ISMRM Abstract

Beyond Correlation: Graph Diffusion Autoregression Captures Directional Information Flow in Aging and Alzheimer's Disease

Accepted
Felix Schwock1, Daniel Nordgren1, Rachel Iritani2, Les Atlas1, Azadeh Yazdan-Shahmorad1,2, Hesam Jahanian 2,3
1Department of Electrical and Computer Engineering, University of Washington, Seattle, United States of America
2Department of Bioengineering, University of Washington, Seattle, United States of America
3Department of Radiology, University of Washington, Seattle, United States of America
Presenting Author: Hesam Jahanian

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Schwock, F., Bloch, J., Atlas, L., Abadi, S., & Yazdan-Shahmorad, A. (2023). Estimating and Analyzing Neural Information flow using Signal Processing on Graphs. ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1–5. https://doi.org/10.1109/ICASSP49357.2023.10096497 [doi]
2. Schwock, F., Bloch, J., Khateeb, K., Zhou, J., Atlas, L., & Yazdan-Shahmorad, A. (2024). Inferring Neural Communication Dynamics from Field Potentials Using Graph Diffusion Autoregression (p. 2024.02.26.582177). bioRxiv. https://doi.org/10.1101/2024.02.26.582177 [doi]
3. Schaub, M. T., Zhu, Y., Seby, J.-B., Roddenberry, T. M., & Segarra, S. (2021). Signal processing on higher-order networks: Livin’ on the edge... and beyond. Signal Processing, 187, 108149. https://doi.org/10.1016/j.sigpro.2021.108149 [doi]
4. Barbarossa, S., & Sardellitti, S. (2020). Topological Signal Processing Over Simplicial Complexes. IEEE Transactions on Signal Processing, 68, 2992–3007. https://doi.org/10.1109/TSP.2020.2981920 [doi]
5. Battiloro, C., Di Lorenzo, P., & Barbarossa, S. (2023). Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1–5. https://doi.org/10.1109/ICASSP49357.2023.10095803 [doi]
6. Jahanian, H., Holdsworth, S., Christen, T., Wu, H., Zhu, K., Kerr, A. B., Middione, M. J., Dougherty, R. F., Moseley, M., & Zaharchuk, G. (2019). Advantages of short repetition time resting-state functional MRI enabled by simultaneous multi-slice imaging. Journal of Neuroscience Methods, 311, 122–132. https://doi.org/10.1016/j.jneumeth.2018.09.033 [doi]

Cite this abstract