The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
The modular and integrative functional architecture of the human brain
Open accessAbstract
Significance: Many complex networks are composed of “modules” that form an interconnected network. We sought to elucidate the nature of the brain’s modular function by testing the autonomy of the brain’s modules and the potential mechanisms underlying their interactions. By studying the brain as a large-scale complex network and measuring activity across the network during 77 cognitive tasks, we demonstrate that, despite connectivity between modules, each module appears to execute a discrete cognitive function relatively autonomously from the other modules. Moreover, brain regions with diverse connectivity across the modules appear to play a role in enabling modules to interact while remaining mostly autonomous. This generates the counterintuitive idea that regions with diverse connectivity across modules are necessary for modular biological networks.
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Modularity and community structure in networks
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Correspondence of the brain's functional architecture during activation and rest
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Self-citationCommunication dynamics in complex brain networks
Avena-Koenigsberger, A., Misic, B., & Sporns, O. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.149 · Cited by 856
The role of PFC networks in cognitive control and executive function
Menon, V., & D’Esposito, M. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01152-w · Cited by 654
Self-citationFrontal Cortex and the Hierarchical Control of Behavior
Badre, D., & Nee, D. E. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.11.005 · Cited by 611
Development of structure–function coupling in human brain networks during youth
Baum, G. L., Cui, Z., Roalf, D. R., Ciric, R., Betzel, R. F., Larsen, B., Cieslak, M., Cook, P. A., Xia, C. H., Moore, T. M., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912034117 · Cited by 544
Metadata
- Authors
- Bertolero, M. A., Yeo, B. T. T., & D’Esposito, M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2015-11-23
- Volume
- 112
- Issue
- 49
- Pages
- E6798-807
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2173905415
- Cited by
- 565
- References
- 114
- FWCI
- 21.02
- Type
- journal article
- Language
- en
- Open access
- green
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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.