Static and dynamic functional connectivity supports the configuration of brain networks associated with creative cognition
Abstract Creative cognition is recognized to involve the integration of multiple spontaneous cognitive processes and is manifested as complex networks within and between the distributed brain regions. We propose that the processing of creative cognition involves the static and dynamic re-configurati...
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doaj-0914c2975b2441faa0702a5af87551d82021-01-10T12:47:26ZengNature Publishing GroupScientific Reports2045-23222021-01-0111111710.1038/s41598-020-80293-2Static and dynamic functional connectivity supports the configuration of brain networks associated with creative cognitionAbhishek Uday Patil0Sejal Ghate1Deepa Madathil2Ovid J. L. Tzeng3Hsu-Wen Huang4Chih-Mao Huang5Department of Sensor and Biomedical Technology, School of Electronics Engineering, Vellore Institute of TechnologyDepartment of Sensor and Biomedical Technology, School of Electronics Engineering, Vellore Institute of TechnologyDepartment of Sensor and Biomedical Technology, School of Electronics Engineering, Vellore Institute of TechnologyDepartment of Biological Science and Technology, National Chiao Tung UniversityDepartment of Linguistics and Translation, City University of Hong KongDepartment of Biological Science and Technology, National Chiao Tung UniversityAbstract Creative cognition is recognized to involve the integration of multiple spontaneous cognitive processes and is manifested as complex networks within and between the distributed brain regions. We propose that the processing of creative cognition involves the static and dynamic re-configuration of brain networks associated with complex cognitive processes. We applied the sliding-window approach followed by a community detection algorithm and novel measures of network flexibility on the blood-oxygen level dependent (BOLD) signal of 8 major functional brain networks to reveal static and dynamic alterations in the network reconfiguration during creative cognition using functional magnetic resonance imaging (fMRI). Our results demonstrate the temporal connectivity of the dynamic large-scale creative networks between default mode network (DMN), salience network, and cerebellar network during creative cognition, and advance our understanding of the network neuroscience of creative cognition.https://doi.org/10.1038/s41598-020-80293-2 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abhishek Uday Patil Sejal Ghate Deepa Madathil Ovid J. L. Tzeng Hsu-Wen Huang Chih-Mao Huang |
spellingShingle |
Abhishek Uday Patil Sejal Ghate Deepa Madathil Ovid J. L. Tzeng Hsu-Wen Huang Chih-Mao Huang Static and dynamic functional connectivity supports the configuration of brain networks associated with creative cognition Scientific Reports |
author_facet |
Abhishek Uday Patil Sejal Ghate Deepa Madathil Ovid J. L. Tzeng Hsu-Wen Huang Chih-Mao Huang |
author_sort |
Abhishek Uday Patil |
title |
Static and dynamic functional connectivity supports the configuration of brain networks associated with creative cognition |
title_short |
Static and dynamic functional connectivity supports the configuration of brain networks associated with creative cognition |
title_full |
Static and dynamic functional connectivity supports the configuration of brain networks associated with creative cognition |
title_fullStr |
Static and dynamic functional connectivity supports the configuration of brain networks associated with creative cognition |
title_full_unstemmed |
Static and dynamic functional connectivity supports the configuration of brain networks associated with creative cognition |
title_sort |
static and dynamic functional connectivity supports the configuration of brain networks associated with creative cognition |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-01-01 |
description |
Abstract Creative cognition is recognized to involve the integration of multiple spontaneous cognitive processes and is manifested as complex networks within and between the distributed brain regions. We propose that the processing of creative cognition involves the static and dynamic re-configuration of brain networks associated with complex cognitive processes. We applied the sliding-window approach followed by a community detection algorithm and novel measures of network flexibility on the blood-oxygen level dependent (BOLD) signal of 8 major functional brain networks to reveal static and dynamic alterations in the network reconfiguration during creative cognition using functional magnetic resonance imaging (fMRI). Our results demonstrate the temporal connectivity of the dynamic large-scale creative networks between default mode network (DMN), salience network, and cerebellar network during creative cognition, and advance our understanding of the network neuroscience of creative cognition. |
url |
https://doi.org/10.1038/s41598-020-80293-2 |
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