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Cited by 185

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Dynamic reorganization of human resting-state networks during visuospatial attention

Open access
Spadone, Sara, Della Penna, Stefania, Sestieri, Carlo, Betti, Viviana, Tosoni, Annalisa, Perrucci, Mauro Gianni, Romani, Gian Luca, Corbetta, Maurizio·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: The brain is never at rest, and patterns of ongoing correlated activity have been found to resemble patterns during active behavior. A fundamental problem in neuroscience concerns the relationship between spontaneous and task-driven activity. During a demanding task that requires selective attention to sensory stimuli, correlated patterns of spontaneous (rest) activity are generally preserved. However, specific changes in synchronization occur within and between networks that correlate with behavioral performance. These results indicate that attention modifies spontaneous activity patterns in support of task performance.

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Crossref · 10.1073/pnas.1415439112

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Metadata

Authors
Spadone, S., Della Penna, S., Sestieri, C., Betti, V., Tosoni, A., Perrucci, M. G., Romani, G. L., & Corbetta, M.
Venue
Proceedings of the National Academy of Sciences
Published
2015-06-16
Volume
112
Issue
26
Pages
8112-8117
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1556383102
Cited by
185
References
14
FWCI
11.06
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Dynamic reorganization of human resting-state networks during visuospatial attention. https://app.cochat.ai/papers/10.1073/pnas.1415439112
The paper
Spadone, S., Della Penna, S., Sestieri, C., Betti, V., Tosoni, A., Perrucci, M. G., Romani, G. L., & Corbetta, M. (2015). Dynamic reorganization of human resting-state networks during visuospatial attention. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1415439112

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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.