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Large-Scale Intrinsic Functional Brain Organization Emerges from Three Canonical Spatiotemporal Patterns

Taylor Bolt, Jason S. Nomi, Danilo Bzdok, Catie Chang, View ORCID ProfileB.T. Thomas Yeo, View ORCID ProfileLucina Q. Uddin, Shella D. Keilholz
doi: https://doi.org/10.1101/2021.06.20.448984
Taylor Bolt
1Emory University/Georgia Institute of Technology, Atlanta, GA, USA
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  • For correspondence: tsb46@miami.edu
Jason S. Nomi
2University of Miami, Coral Gables, FL, USA
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Danilo Bzdok
3McGill University & Mila - Quebec Artificial Intelligence institute, Montreal, QC, Canada
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Catie Chang
4Vanderbilt University, Nashville, TN, USA
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B.T. Thomas Yeo
5National University of Singapore, Singapore
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Lucina Q. Uddin
2University of Miami, Coral Gables, FL, USA
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Shella D. Keilholz
1Emory University/Georgia Institute of Technology, Atlanta, GA, USA
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Summary

The characterization of intrinsic functional brain organization has been approached from a multitude of analytic techniques and methods. We are still at a loss of a unifying conceptual framework for capturing common insights across this patchwork of empirical findings. By analyzing resting-state fMRI data from the Human Connectome Project using a large number of popular analytic techniques, we find that all results can be seamlessly reconciled by three fundamental low-frequency spatiotemporal patterns that we have identified via a novel time-varying complex pattern analysis. Overall, these three spatiotemporal patterns account for a wide variety of previously observed phenomena in the resting-state fMRI literature including the task-positive/task-negative anticorrelation, the global signal, the primary functional connectivity gradient and the network community structure of the functional connectome. The shared spatial and temporal properties of these three canonical patterns suggest that they arise from a single hemodynamic mechanism.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/tsb46/BOLD_WAVES

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 4.0 International license.
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Posted June 20, 2021.
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Large-Scale Intrinsic Functional Brain Organization Emerges from Three Canonical Spatiotemporal Patterns
Taylor Bolt, Jason S. Nomi, Danilo Bzdok, Catie Chang, B.T. Thomas Yeo, Lucina Q. Uddin, Shella D. Keilholz
bioRxiv 2021.06.20.448984; doi: https://doi.org/10.1101/2021.06.20.448984
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Large-Scale Intrinsic Functional Brain Organization Emerges from Three Canonical Spatiotemporal Patterns
Taylor Bolt, Jason S. Nomi, Danilo Bzdok, Catie Chang, B.T. Thomas Yeo, Lucina Q. Uddin, Shella D. Keilholz
bioRxiv 2021.06.20.448984; doi: https://doi.org/10.1101/2021.06.20.448984

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