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Static and dynamic measures of human brain connectivity predict complementary aspects of human cognitive performance

Aurora I. Ramos-Nuñez, Simon Fischer-Baum, Randi Martin, Qiuhai Yue, Fengdan Ye, Michael W. Deem
doi: https://doi.org/10.1101/224956
Aurora I. Ramos-Nuñez
aDepartment of Psychology, Rice University
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Simon Fischer-Baum
aDepartment of Psychology, Rice University
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Randi Martin
aDepartment of Psychology, Rice University
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Qiuhai Yue
aDepartment of Psychology, Rice University
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Fengdan Ye
bDepartment of Physics & Astronomy, Rice University
dCenter for Theoretical Biological Physics, Rice University
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Michael W. Deem
bDepartment of Physics & Astronomy, Rice University
cDepartment of Bioengineering, Rice University
dCenter for Theoretical Biological Physics, Rice University
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Abstract

In cognitive network neuroscience, the connectivity and community structure of the brain network is related to cognition. Much of this research has focused on two measures of connectivity – modularity and flexibility – which frequently have been examined in isolation. By using resting state fMRI data from 52 young adults, we investigate the relationship between modularity, flexibility and performance on cognitive tasks. We show that flexibility and modularity are highly negatively correlated. However, we also demonstrate that flexibility and modularity make unique contributions to explain task performance, with modularity predicting performance for simple tasks and flexibility predicting performance on complex tasks that require cognitive control and executive functioning. The theory and results presented here allow for stronger links between measures of brain network connectivity and cognitive processes.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted November 25, 2017.
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Static and dynamic measures of human brain connectivity predict complementary aspects of human cognitive performance
Aurora I. Ramos-Nuñez, Simon Fischer-Baum, Randi Martin, Qiuhai Yue, Fengdan Ye, Michael W. Deem
bioRxiv 224956; doi: https://doi.org/10.1101/224956
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Static and dynamic measures of human brain connectivity predict complementary aspects of human cognitive performance
Aurora I. Ramos-Nuñez, Simon Fischer-Baum, Randi Martin, Qiuhai Yue, Fengdan Ye, Michael W. Deem
bioRxiv 224956; doi: https://doi.org/10.1101/224956

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