Richard Betzel, Ph.D.
Affiliations: | Psychological and Brain Sciences | Indiana University, Bloomington, Bloomington, IN, United States |
Area:
brain networks, functional connectivity, structural connectivity, network dynamicsGoogle:
"Richard Betzel"Bio:
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.
Source: https://psych.indiana.edu/directory/faculty/betzel-richard.html
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Publications
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| Betzel R, Puxeddu MG, Seguin C, et al. (2024) Controlling the human connectome with spatially diffuse input signals. Biorxiv : the Preprint Server For Biology |
| Puxeddu MG, Faskowitz J, Seguin C, et al. (2024) Relation of connectome topology to brain volume across 103 mammalian species. Plos Biology. 22: e3002489 |
| Ragone E, Tanner J, Jo Y, et al. (2024) Modular subgraphs in large-scale connectomes underpin spontaneous co-fluctuation events in mouse and human brains. Communications Biology. 7: 126 |
| Chumin EJ, Cutts SA, Risacher SL, et al. (2023) Edge Time Series Components of Functional Connectivity and Cognitive Function in Alzheimer's Disease. Medrxiv : the Preprint Server For Health Sciences |
| Chumin EJ, Cutts SA, Risacher SL, et al. (2023) Edge time series components of functional connectivity and cognitive function in Alzheimer's disease. Brain Imaging and Behavior |
| Tu JC, Millar PR, Strain JF, et al. (2023) Increasing hub disruption parallels dementia severity in autosomal dominant Alzheimer disease. Biorxiv : the Preprint Server For Biology |
| Greenwell S, Faskowitz J, Pritschet L, et al. (2023) High-amplitude network co-fluctuations linked to variation in hormone concentrations over the menstrual cycle. Network Neuroscience (Cambridge, Mass.). 7: 1181-1205 |
| Betzel RF, Cutts SA, Tanner J, et al. (2023) Hierarchical organization of spontaneous co-fluctuations in densely sampled individuals using fMRI. Network Neuroscience (Cambridge, Mass.). 7: 926-949 |
| Jiang C, He Y, Betzel RF, et al. (2023) Optimizing network neuroscience computation of individual differences in human spontaneous brain activity for test-retest reliability. Network Neuroscience (Cambridge, Mass.). 7: 1080-1108 |
| Uddin LQ, Betzel RF, Cohen JR, et al. (2023) Controversies and progress on standardization of large-scale brain network nomenclature. Network Neuroscience (Cambridge, Mass.). 7: 864-905 |