The relation between brain signal complexity and task difficulty on an executive function task
NeuroImage, ISSN: 1053-8119, Vol: 198, Page: 104-113
2019
- 15Citations
- 65Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations15
- Citation Indexes15
- CrossRef15
- 12
- Captures65
- Readers65
- 65
Article Description
On a daily basis, we constantly deal with changing environmental cues and perceptual conflicts and as such, our brains must flexibly adapt to current demands in order to act appropriately. Brains become more efficient and are able to switch states more readily by increasing the complexity of their neural networks. However, it is unclear how brain signal complexity relates to behavior in young adults performing cognitively demanding executive function tasks. Here we used multiscale entropy analysis and multivariate statistics on EEG data while participants performed a bivalency effect task-switching paradigm to show that brain signal complexity in young adults increases as task demands increase, that increases in brain signal complexity are associated with both speed gains and losses depending on scalp location, and that more difficult tasks are associated with more circumscribed complexity across the scalp. Overall, these findings highlight a critical role for brain signal complexity in predicting behavior on an executive function task among young adults.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1053811919304379; http://dx.doi.org/10.1016/j.neuroimage.2019.05.045; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85065870305&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/31112787; https://linkinghub.elsevier.com/retrieve/pii/S1053811919304379; https://dx.doi.org/10.1016/j.neuroimage.2019.05.045
Elsevier BV
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