The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Brain Graphs: Graphical Models of the Human Brain Connectome
Abstract
Brain graphs provide a relatively simple and increasingly popular way of modeling the human brain connectome, using graph theory to abstractly define a nervous system as a set of nodes (denoting anatomical regions or recording electrodes) and interconnecting edges (denoting structural or functional connections). Topological and geometrical properties of these graphs can be measured and compared to random graphs and to graphs derived from other neuroscience data or other (nonneural) complex systems. Both structural and functional human brain graphs have consistently demonstrated key topological properties such as small-worldness, modularity, and heterogeneous degree distributions. Brain graphs are also physically embedded so as to nearly minimize wiring cost, a key geometric property. Here we offer a conceptual review and methodological guide to graphical analysis of human neuroimaging data, with an emphasis on some of the key assumptions, issues, and trade-offs facing the investigator.
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Cites
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“…will be challenged by their greater size and variability, and even in this most tractable case, graphical analysis involves making choices about whether all types of neurons should have equal status as nodes [more than 100 classes of neurons are recognized in C. elegans (White et al. 1986)].”
BackgroundMapping the structural core of human cerebral cortex
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An Energy Budget for Signaling in the Grey Matter of the Brain
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The economy of brain network organization
Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284
Self-citationDynamic reconfiguration of human brain networks during learning
Bassett, D. S., Wymbs, N. F., Porter, M. A., Mucha, P. J., Carlson, J. M., & Grafton, S. T. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018985108 · Cited by 1,705
Self-citationDefault Mode Network Activity and Connectivity in Psychopathology
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Modular and hierarchically modular organization of brain networks
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Self-citationImaging structural co-variance between human brain regions
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Metadata
- Authors
- Bullmore, E. T., & Bassett, D. S.
- Venue
- Annual Review of Clinical Psychology
- Publisher
- Annual Reviews
- Published
- 2011-04-27
- Volume
- 7
- Issue
- 1
- Pages
- 113-140
- ISSN
- 1548-5943 (ISSN-L)
- 1548-5951
- OpenAlex
- W2161515775
- Cited by
- 1,140
- References
- 28
- FWCI
- 4.78
- Type
- journal article
- Language
- en
- Open access
- closed
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