The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
A neuromarker of sustained attention from whole-brain functional connectivity
Open accessAbstract
Although attention plays a ubiquitous role in perception and cognition, researchers lack a simple way to measure a person's overall attentional abilities. Because behavioral measures are diverse and difficult to standardize, we pursued a neuromarker of an important aspect of attention, sustained attention, using functional magnetic resonance imaging. To this end, we identified functional brain networks whose strength during a sustained attention task predicted individual differences in performance. Models based on these networks generalized to previously unseen individuals, even predicting performance from resting-state connectivity alone. Furthermore, these same models predicted a clinical measure of attention—symptoms of attention deficit hyperactivity disorder—from resting-state connectivity in an independent sample of children and adolescents. These results demonstrate that whole-brain functional network strength provides a broadly applicable neuromarker of sustained attention.
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Cites
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“Rosenberg and colleagues recently presented a neuromarker for sustained attention from whole-brain functional connectivity (Rosenberg, Finn, Scheinost, Papademetris, Shen, Constable & Chun 2016).”
Background
Metadata
- Authors
- Rosenberg, M. D., Finn, E. S., Scheinost, D., Papademetris, X., Shen, X., Constable, R. T., & Chun, M. M.
- Venue
- Nature Neuroscience
- Published
- 2015-11-23
- Volume
- 19
- Issue
- 1
- Pages
- 165-171
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W2174056659
- Cited by
- 1,014
- References
- 52
- FWCI
- 29.32
- Type
- journal article
- Language
- en
- Open access
- green
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- Rosenberg, M. D., Finn, E. S., Scheinost, D., Papademetris, X., Shen, X., Constable, R. T., & Chun, M. M. (2016). A neuromarker of sustained attention from whole-brain functional connectivity. Nature Neuroscience. https://doi.org/10.1038/nn.4179
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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