The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Brain network dynamics are hierarchically organized in time
Open accessAbstract
Significance: We address the important question of the temporal organization of large-scale brain networks, finding that the spontaneous transitions between networks of interacting brain areas are predictable. More specifically, the network activity is highly organized into a hierarchy of two distinct metastates, such that transitions are more probable within, than between, metastates. One of these metastates represents higher order cognition, and the other represents the sensorimotor systems. Furthermore, the time spent in each metastate is subject-specific, is heritable, and relates to behavior. Although evidence of non–random-state transitions has been found at the microscale, this finding at the whole-brain level, together with its relation to behavior, has wide implications regarding the cognitive role of large-scale resting-state networks.
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Cites
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Self-citationConsistent resting-state networks across healthy subjects
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BackgroundPersistent activity in the prefrontal cortex during working memory
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Questions and controversies in the study of time-varying functional connectivity in resting fMRI
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Self-citationHuman cognition involves the dynamic integration of neural activity and neuromodulatory systems
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Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks
Vidaurre, D., Hunt, L. T., Quinn, A. J., Hunt, B. A. E., Brookes, M. J., Nobre, A. C., & Woolrich, M. W. (2018) · Nature Communications · doi:10.1038/s41467-018-05316-z · Cited by 357
Self-citationShared understanding of narratives is correlated with shared neural responses
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Metadata
- Authors
- Vidaurre, D., Smith, S. M., & Woolrich, M. W.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2017-10-30
- Volume
- 114
- Issue
- 48
- Pages
- 12827-12832
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2765216222
- Cited by
- 867
- References
- 50
- FWCI
- 32.07
- Type
- journal article
- Language
- en
- Open access
- bronze
- Funders
- Wellcome Trust Strategic Award (098369/Z/12/Z)
- Wellcome Trust Grant (106183/Z/14/Z)
- MRC UK MEG Partnership Grant (MR/K005464/1)
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- Vidaurre, D., Smith, S. M., & Woolrich, M. W. (2017). Brain network dynamics are hierarchically organized in time. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1705120114
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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.
