My research program focuses on understanding the general organizational and functional principles of connectomes – network maps of the connectivity among neurons, neuronal populations, and large-scale brain areas. A deeper knowledge of these principles gives us insight the connectome's role in shaping human behavior and cognition and helps reveal how abnormal connectivity can lead to disease. This research involves network modeling and analysis using a diverse set of mathematical tools that includes elements of graph theory, information theory, and dynamical systems theory.
- Betzel, R. F., & Bassett, D. S. (2018). Specificity and robustness of long-distance connections in weighted, interareal connectomes. Proceedings of the National Academy of Sciences, 201720186.
- Betzel, R. F., Medaglia, J. D., & Bassett, D. S. (2018). Diversity of meso-scale architecture in human and non-human connectomes. Nature Communications, 9(1), 346.
- Betzel, R. F., Medaglia, J. D., Papadopoulos, L., Baum, G. L., Gur, R., Gur, R., ... & Bassett, D. S. (2017). The modular organization of human anatomical brain networks: Accounting for the cost of wiring. Network Neuroscience, 1(1), 42-68.
- Betzel, R. F., Gu, S., Medaglia, J. D., Pasqualetti, F., & Bassett, D. S. (2016). Optimally controlling the human connectome: the role of network topology. Scientific reports, 6, 30770.
- Betzel, R. F., Avena-Koenigsberger, A., Goñi, J., He, Y., De Reus, M. A., Griffa, A., ... & Van Den Heuvel, M. (2016). Generative models of the human connectome. Neuroimage, 124, 1054-1064.
- Betzel, R. F., Fukushima, M., He, Y., Zuo, X. N., & Sporns, O. (2016). Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks. NeuroImage, 127, 287-297.