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.
%0 Journal Article
%1 Grundy2019-iu
%A Grundy, John G
%A Barker, Ryan M
%A Anderson, John A E
%A Shedden, Judith M
%D 2019
%I Elsevier
%J Neuroimage
%K Brain_behavior_relationships Brain_signal_complexity Cognitive_flexibility Multiscale_entropy Task-demands myown
%P 104--113
%T The relation between brain signal complexity and task difficulty on an executive function task
%U https://www.sciencedirect.com/science/article/pii/S1053811919304379#:~:text=Brain%20signal%20complexity%20was%20measured,during%20an%20executive%20function%20task.&text=Brain%20signal%20complexity%20predicted%20both%20speed%20gains%20and%20losses%20across%20the%20scalp.&text=More%20difficult%20tasks%20were%20associated%20with%20more%20circumscribed%20complexity%20across%20the%20scalp.
%V 198
%X 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.
@article{Grundy2019-iu,
abstract = {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.},
added-at = {2021-03-04T21:51:12.000+0100},
author = {Grundy, John G and Barker, Ryan M and Anderson, John A E and Shedden, Judith M},
biburl = {https://www.bibsonomy.org/bibtex/2a0422752916c6cbf12830f837e695d6a/janderz8},
interhash = {36878a1ef503d0c3ea8aa347fab5c00e},
intrahash = {a0422752916c6cbf12830f837e695d6a},
journal = {Neuroimage},
keywords = {Brain_behavior_relationships Brain_signal_complexity Cognitive_flexibility Multiscale_entropy Task-demands myown},
month = sep,
pages = {104--113},
publisher = {Elsevier},
timestamp = {2021-03-05T15:37:35.000+0100},
title = {{The relation between brain signal complexity and task difficulty on an executive function task}},
url = {https://www.sciencedirect.com/science/article/pii/S1053811919304379#:~:text=Brain%20signal%20complexity%20was%20measured,during%20an%20executive%20function%20task.&text=Brain%20signal%20complexity%20predicted%20both%20speed%20gains%20and%20losses%20across%20the%20scalp.&text=More%20difficult%20tasks%20were%20associated%20with%20more%20circumscribed%20complexity%20across%20the%20scalp.},
volume = 198,
year = 2019
}