Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
501-03-001 ISMRM Abstract

Latent space modelling of whole-brain dynamics: a Koopman-theoretical approach

Primary: Analysis Methods - Generative Models
Secondary: Neuro - Stroke and Cerebrovascular Disorders
501-03-001 · fMRI: Advanced Analysis · Wednesday, 13 May, 1:40 PM–3:30 PM · Hall 1A
Keywords: fMRI (resting state) Koopman Autoencoder Brain dynamics Linear control
Accepted
Riccardo Tancredi 1,2,3, Michele Allegra4,5, Gustavo Deco3,6
1CNR-Nanotec &Santa Lucia Foundation, Rome, Italy
2Università di Padova, Padova, Italy
3Center for Brain and Cognition, Barcelona, Spain
4Università di Padova (Padova, IT), Padova, Italy
5Padova Neuroscience Center (PNC), University of Padova, Padua, Padova, Italy
6Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
Presenting Author: Riccardo Tancredi

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References

1. Deco G, Ponce-Alvarez A, Mantini D, et al. Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuations. Journal of Neuroscience. 2013;33(27):11239-11252. https://doi.org/10.1523/JNEUROSCI.1091-13.2013 [doi]
2. Kringelbach ML, Deco G, et al. Brain states and transitions: insights from computational neuroscience. Cell Reports. 2020;32(10):108128. https://doi.org/10.1016/j.celrep.2020.108128 [doi]
3. Sanz-Perl Y, Geli S, Pérez-Ordoyo E, et al. Modelling low-dimensional interacting brain networks reveals organising principle in human cognition. bioRxiv. 2023. Preprint. doi:10.1162/netn_a_00434 [doi]
4. Lusch B, Kutz JN, Brunton SL, et al. Deep learning for universal linear embeddings of nonlinear dynamics. Nature Communications. 2018;9:4950. https://doi.org/10.1038/s41467-018-07210-0 [doi]
5. Korda M, Mezić I, et al. Optimal construction of Koopman eigenfunctions for prediction and control. IEEE Transactions on Automatic Control. 2020;65(6):2380-2393. https://doi.org/10.48550/arXiv.1810.08733 [doi]
6. Idesis S, Allegra M, Vohryzek J, et al. A low-dimensional embedding of brain dynamics enhances diagnostic accuracy and behavioural prediction in stroke. Scientific Reports. 2023;13:14755. https://doi.org/10.1038/s41598-023-42533-z [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/501-03-001