The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.
Segregated Systems of Human Brain Networks
Open accessAbstract
The organization of the brain network enables its function. Evaluation of this organization has revealed that large-scale brain networks consist of multiple segregated subnetworks of interacting brain areas. Descriptions of resting-state network architecture have provided clues for understanding the functional significance of these segregated subnetworks, many of which correspond to distinct brain systems. The present report synthesizes accumulating evidence to reveal how maintaining segregated brain systems renders the human brain network functionally specialized, adaptable to task demands, and largely resilient following focal brain damage. The organizational properties that support system segregation are harmonious with the properties that promote integration across the network, but confer unique and important features to the brain network that are central to its function and behavior.
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Cites
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Cited by
Kong, R., Li, J., Orban, C., Sabuncu, M. R., Liu, H., Schaefer, A., Sun, N., Zuo, X.-N., Holmes, A. J., Eickhoff, S. B., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhy123 · Cited by 593
Environmental influences on the pace of brain development
Tooley, U. A., Bassett, D. S., & Mackey, A. P. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00457-5 · Cited by 488
Individual Variation in Functional Topography of Association Networks in Youth
Cui, Z., Li, H., Xia, C. H., Larsen, B., Adebimpe, A., Baum, G. L., Cieslak, M., Gur, R. E., Gur, R. C., Moore, T. M., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.029 · Cited by 269
Exercise and Hippocampal Memory Systems
Voss, M. W., Soto, C., Yoo, S., Sodoma, M., Vivar, C., & van Praag, H. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.01.006 · Cited by 235
Brain Modularity: A Biomarker of Intervention-related Plasticity
Gallen, C. L., & D’Esposito, M. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.01.014 · Cited by 168
Metadata
- Authors
- Wig, G. S.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 21
- Issue
- 12
- Pages
- 981-996
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2765906219
- Cited by
- 357
- References
- 133
- FWCI
- 2.62
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
