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Richard F. Betzel
Researcher at Indiana University
Publications - 155
Citations - 11036
Richard F. Betzel is an academic researcher from Indiana University. The author has contributed to research in topics: Computer science & Connectome. The author has an hindex of 44, co-authored 127 publications receiving 7321 citations. Previous affiliations of Richard F. Betzel include University of Pennsylvania.
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Journal ArticleDOI
Modular Brain Networks
Olaf Sporns,Richard F. Betzel +1 more
TL;DR: A number of methods for detecting modules in both structural and functional brain networks are surveyed and their potential functional roles in brain evolution, wiring minimization, and the emergence of functional specialization and complex dynamics are considered.
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Changes in structural and functional connectivity among resting-state networks across the human lifespan.
TL;DR: The results of this study demonstrate that whole-brain functional and structural connectivity both exhibit reorganization with age, and points to age-related changes in inter-regional communication unfolding within and between resting-state networks.
Journal ArticleDOI
Resting-brain functional connectivity predicted by analytic measures of network communication
Joaquín Goñi,Martijn P. van den Heuvel,Andrea Avena-Koenigsberger,Nieves Velez de Mendizabal,Richard F. Betzel,Alessandra Griffa,Alessandra Griffa,Patric Hagmann,Patric Hagmann,Bernat Corominas-Murtra,Jean-Philippe Thiran,Jean-Philippe Thiran,Olaf Sporns +12 more
TL;DR: It is found that both search information and path transitivity predict the strength of functional connectivity among both connected and unconnected node pairs at levels that match or significantly exceed path length measures, Euclidean distance, as well as computational models of neural dynamics.
Journal ArticleDOI
Multi-scale brain networks.
TL;DR: Although predominantly peppered with examples from human neuroimaging, it is hoped that this account will offer an accessible guide to any neuroscientist aiming to measure, characterize, and understand the full richness of the brain's multiscale network structure.
Journal ArticleDOI
Linking Structure and Function in Macroscale Brain Networks.
TL;DR: The current state of knowledge linking structure and function in macroscale brain networks is synthesized and it is argued that current models do not include the requisite biological detail to completely predict function.