505-02-009 ISMRM Abstract

Directed Structural Connectivity Inferred from Network Diffusion in Humans and Non-Human Primates

Primary: Neuro - White Matter

Secondary: Diffusion - Tractography

505-02-009 · Insights into Psychiatric Disorders and the Human Connectome · Wednesday, 13 May, 8:20 AM–10:10 AM · Ballroom West

Keywords: Structural Connectivity Functional Connectivity Structure function coupling Graph theory analysis Computational Neuroscience

Accepted

Benjamin S Sipes ¹, Ashish Raj¹

¹Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, United States of America

Presenting Author: Benjamin S Sipes

Synopsis

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References

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2. Sipes et al., (2025). Deconvolving Passive Diffusion on the Structural Network from Functional Brain Signals. IEEE 22nd International Symposium on Biomedical Imaging (ISBI) (pp. 1-5). IEEE. doi:10.1109/ISBI60581.2025.10981308 [doi]

3. Shen et al., (2019). TheVirtualBrain Macaque MRI. OpenNeuro.

4. Stephan et al., (2001). Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac). Philosophical Transactions of the Royal Society of London, 356(1412), 1159-1186. doi:10.1098/rstb.2001.0908 [doi]

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7. Bridgeford, E. W., Wang, S., Wang, Z., Xu, T., Craddock, C., Dey, J., ... & Vogelstein, J. T. (2021). Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS computational biology, 17(9), e1009279. https://doi.org/10.1371/journal.pcbi.1009279 [doi]

8. Alexander-Bloch, A. F., Shou, H., Liu, S., Satterthwaite, T. D., Glahn, D. C., Shinohara, R. T., ... & Raznahan, A. (2018). On testing for spatial correspondence between maps of human brain structure and function. Neuroimage, 178, 540-551. https://doi.org/10.1016/j.neuroimage.2018.05.070 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/505-02-009