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Exploring Functional Brain Network Modularity in Educational Contexts

View ORCID ProfileAdam B. Weinberger, View ORCID ProfileRobert A. Cortes, View ORCID ProfileRichard F. Betzel, Adam E. Green
doi: https://doi.org/10.1101/2022.01.06.475275
Adam B. Weinberger
1Department of Psychology, Georgetown University
2Penn Center for Neuroaesthetics, University of Pennsylvania
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  • For correspondence: adam.weinberger@pennmedicine.upenn.edu
Robert A. Cortes
1Department of Psychology, Georgetown University
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Richard F. Betzel
3Department of Psychological and Brain Sciences, Indiana University
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  • For correspondence: adam.weinberger@pennmedicine.upenn.edu
Adam E. Green
1Department of Psychology, Georgetown University
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  • For correspondence: adam.weinberger@pennmedicine.upenn.edu
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Abstract

The brain’s modular functional organization facilitates adaptability. Modularity has been linked with a wide range of cognitive abilities such as intelligence, memory, and learning. However, much of this work has (1) considered modularity while a participant is at rest rather than during tasks conditions and/or (2) relied primarily on lab-based cognitive assessments. Thus, the extent to which modularity can provide information about real-word behavior remains largely unknown. Here, we investigated whether functional modularity during resting-state and task-based fMRI was associated with academic learning (measured by GPA) and ability (measured by PSAT) in a large sample of high school students. Additional questions concerned the extent to which modularity differs between rest and task conditions, and across spatial scales. Results indicated that whole-brain modularity during task conditions was significantly associated with academic learning. In contrast to prior work, no such associations were observed for resting-state modularity. We further showed that differences in modularity between task conditions and resting-state varied across spatial scales. Taken together, the present findings inform how functional brain network modularity – during task conditions and while at rest – relate to a range of cognitive abilities.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • * RFB and AEG share equally in senior authorship

  • Author Note and Data Availability: The authors declare no competing interests. Data and code supporting the manuscript are publicly available on the Open Science Framework at: https://osf.io/naj3y/.

  • 1 This refers specifically to “static” measures of modularity. “Dynamic” estimates of modularity – which were not considered in the present study due to experimental task design – have been frequently applied to task data (e.g. Bassett et al., 2011; Gerraty et al., 2018; Reddy et al., 2018).

  • https://osf.io/naj3y/

Copyright 
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-ND 4.0 International license.
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Posted January 06, 2022.
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Exploring Functional Brain Network Modularity in Educational Contexts
Adam B. Weinberger, Robert A. Cortes, Richard F. Betzel, Adam E. Green
bioRxiv 2022.01.06.475275; doi: https://doi.org/10.1101/2022.01.06.475275
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Exploring Functional Brain Network Modularity in Educational Contexts
Adam B. Weinberger, Robert A. Cortes, Richard F. Betzel, Adam E. Green
bioRxiv 2022.01.06.475275; doi: https://doi.org/10.1101/2022.01.06.475275

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