Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
566-03-011 ISMRM Abstract

Hierarchical complexity as a discriminant of taxonomical orders in mammalian connectomes

Primary: Analysis Methods - Classification and Prediction
Secondary: Preclinical Animal & in vitro MR - Biomarkers
566-03-011 · Radiomics Potpourri · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row G
Keywords: Cross-species comparison Structural Connectome Network Organization Hierarchical complexity
Accepted
Keith M Smith1, Paola Galdi2, Jason P Smith3, Manuel Blesa Cábez 4,5
1Computer and Information Sciences, Glasgow, United Kingdom
2Cancer Research UK Scotland Institute, Glasgow, United Kingdom
3Department of Mathematics, Nottingham Trent University, Nottingham, United Kingdom
4Institute for Neuroscience and Cardiovascular Research, University of Edinburgh, Edinburgh, United Kingdom
5Centre for Reproductive Health, Edinburgh, United Kingdom
Presenting Author: Manuel Blesa Cábez

Synopsis

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References

1. [1] Assaf, Y., Bouznach, A., Zomet, O. et al. Conservation of brain connectivity and wiring across the mammalian class. Nat Neurosci 23, 805–808 (2020). https://doi.org/10.1038/s41593-020-0641-7 [doi]
2. [2] Suarez, L.E., et al. A connectomics-based taxonomy of mammals. eLife 11: e78635 (2022). https://doi.org/10.7554/eLife.78635 [doi]
3. [3] Puxeddu, M.G., et al. Relation of connectome topology to brain volume across 103 mammalian species. PLoS Biol 22(2): e3002489 (2024). https://doi.org/10.1371/journal.pbio.3002489 [doi]
4. [4] Smith, K.M. On neighbourhood degree sequences of complex networks. Sci Rep 9: 8340 (2019). https://doi.org/10.1038/s41598-019-44907-8 [doi]
5. [5] Smith, K.M., Smith, J.P. Statistical complexity of heterogeneous geometric networks. PLOS Complex Syst 2(1): e0000026 (2025). https://doi.org/10.1371/journal.pcsy.0000026 [doi]
6. [6] Yeung, H.W., et al. Relative strength variability measures for brain structural connectomes and their relationship with cognitive functioning. Human Brain Mapping 11: e70314 (2025). https://doi.org/10.1002/hbm.70314 [doi]
7. [7] Blesa, M., et al. Hierarchical complexity of the macro-scale neonatal brain. Cerebral Cortex 31(4): 2071-2084 (2021). https://doi.org/10.1093/cercor/bhaa345 [doi]
8. [8] Valdes-Hernandez, M.C., et al. Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus. Lupus 30(2): 285-298 (2021). https://doi.org/10.1177/0961203320979 [doi]
9. [9] Smith, K.M., et al. Abnormal functional hierarchies of EEG networks in familial and sporadic prodromal Alzheimer’s disease during visual short-term memory binding. Frontiers in Neuroimaging 1: doi:10.3389/fnimg.2022.883968 (2022). [doi]
10. [10] Smith, K.M., et al. Hierarchical complexity of the adult human structural connectome. Neuroimage 191: 205-215 (2019). https://doi.org/10.1016/j.neuroimage.2019.02.028 [doi]
11. [11] Rubinov , M., Sporns, O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52(3): 1059-1069 (2009). https://doi.org/10.1016/j.neuroimage.2009.10.003 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/566-03-011