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A Precision Functional Atlas of Network Probabilities and Individual-Specific Network Topography

View ORCID ProfileRobert J.M. Hermosillo, View ORCID ProfileLucille A. Moore, View ORCID ProfileEric Fezcko, Ally Dworetsky, View ORCID ProfileAdam Pines, Gregory Conan, View ORCID ProfileMichael A. Mooney, View ORCID ProfileAnita Randolph, Babatunde Adeyemo, View ORCID ProfileEric Earl, View ORCID ProfileAnders Perrone, View ORCID ProfileCristian Morales Carrasco, Johnny Uriarte-Lopez, Kathy Snider, View ORCID ProfileOlivia Doyle, View ORCID ProfileMichaela Cordova, View ORCID ProfileBonnie J. Nagel, View ORCID ProfileSarah W. Feldstein Ewing, View ORCID ProfileTheodore Satterthwaite, View ORCID ProfileNico Dosenbach, View ORCID ProfileCaterina Gratton, View ORCID ProfileSteven Petersen, View ORCID ProfileÓscar Miranda-Domínguez, View ORCID ProfileDamien A. Fair
doi: https://doi.org/10.1101/2022.01.12.475422
Robert J.M. Hermosillo
1Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN
2Department of Pediatrics, University of Minnesota, Minneapolis, MN
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Lucille A. Moore
3Department of Neurology, Oregon Health & Science University, Portland, OR
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Eric Fezcko
2Department of Pediatrics, University of Minnesota, Minneapolis, MN
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Ally Dworetsky
10Department of Radiology, Washington University School of Medicine, St. Louis, MO
11Department of Psychology NorthWestern University, Evanston, IL
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Adam Pines
4Department of Neuroscience, University of Pennsylvania, Philadelphia, PA
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Gregory Conan
1Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN
5Department of Psychiatry, Oregon Health & Science University, Portland, OR
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Michael A. Mooney
6Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR
7Knight Cancer Institute, Oregon Health & Science University, Portland, OR
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Anita Randolph
1Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN
2Department of Pediatrics, University of Minnesota, Minneapolis, MN
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Babatunde Adeyemo
8Department of Neurology, Washington University School of Medicine, St. Louis, MO
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Eric Earl
5Department of Psychiatry, Oregon Health & Science University, Portland, OR
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Anders Perrone
5Department of Psychiatry, Oregon Health & Science University, Portland, OR
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Cristian Morales Carrasco
1Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN
2Department of Pediatrics, University of Minnesota, Minneapolis, MN
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Johnny Uriarte-Lopez
3Department of Neurology, Oregon Health & Science University, Portland, OR
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Kathy Snider
3Department of Neurology, Oregon Health & Science University, Portland, OR
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Olivia Doyle
3Department of Neurology, Oregon Health & Science University, Portland, OR
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Michaela Cordova
9Department of Clinical Psychology, San Diego State University, San Diego, CA
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Bonnie J. Nagel
5Department of Psychiatry, Oregon Health & Science University, Portland, OR
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Sarah W. Feldstein Ewing
17Department of Psychology, University of Rhode Island, RI
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Theodore Satterthwaite
15Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
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Nico Dosenbach
8Department of Neurology, Washington University School of Medicine, St. Louis, MO
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Caterina Gratton
11Department of Psychology NorthWestern University, Evanston, IL
12Department of Psychological and Brain Sciences, Washington University School of Medicine, St. Louis, MO
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Steven Petersen
8Department of Neurology, Washington University School of Medicine, St. Louis, MO
10Department of Radiology, Washington University School of Medicine, St. Louis, MO
12Department of Psychological and Brain Sciences, Washington University School of Medicine, St. Louis, MO
13Department of Neuroscience, Washington University School of Medicine, St. Louis, MO
14Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO
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Óscar Miranda-Domínguez
1Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN
2Department of Pediatrics, University of Minnesota, Minneapolis, MN
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Damien A. Fair
1Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN
2Department of Pediatrics, University of Minnesota, Minneapolis, MN
16Institute of Child Development, University of Minnesota, Minneapolis, MN
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SUMMARY

The brain is organized into a broad set of functional neural networks. These networks and their various characteristics have been described and scrutinized through in vivo resting state functional magnetic resonance imaging (rs-fMRI). While the basic properties of networks are generally similar between healthy individuals, there is vast variability in the precise topography across the population. These individual differences are often lost in population studies due to population averaging which assumes topographical uniformity. We leveraged precision brain mapping methods to establish a new open-source, method-flexible set of precision functional network atlases: the Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas. Using participants from the Adolescent Brain Cognitive Development (ABCD) study, single subject precision network maps were generated with two supervised network-matching procedures (template matching and non-negative matrix factorization), an overlapping template matching method for identifying integration zones, as well as an unsupervised community detection algorithm (Infomap). From these individualized maps we also generated probabilistic network maps and integration zones for two demographically-matched groups of n∼3000 each. We demonstrate high reproducibility between groups (Pearson’s r >0.999) and between methods (r=0.96), revealing both regions of high invariance and high variability. Compared to using parcellations based on groups averages, the MIDB Precision Brain Atlas allowed us to derive a set of brain regions that are largely invariant in network topography across populations, which provides more reproducible statistical maps of executive function in brain-wide associations. We also explore an example use case for probabilistic maps, highlighting their potential for use in targeted neuromodulation. The MIDB Precision Brain Atlas is expandable to alternative datasets and methods and is provided open-source with an online web interface to encourage the scientific community to experiment with probabilistic atlases and individual-specific topographies to more precisely relate network phenomenon to functional organization of the human brain.

Competing Interest Statement

Author DF is a founder of Nous Imaging, Inc.,. Any potential conflict of interest has been reviewed and managed by the University of Minnesota. Authors OM, EE, DF, and AP are co-inventors of the FIRMM Technology #2198 (co-owned with WU), FIRMM: Real time monitoring and prediction of motion in MRI scans, exclusively licensed to Nous, Inc.) and any related research. Any potential conflict of interest has been reviewed and managed by the University of Minnesota.

Footnotes

  • http://midbatlas.io/

  • https://collection3165.readthedocs.io/en/stable/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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A Precision Functional Atlas of Network Probabilities and Individual-Specific Network Topography
Robert J.M. Hermosillo, Lucille A. Moore, Eric Fezcko, Ally Dworetsky, Adam Pines, Gregory Conan, Michael A. Mooney, Anita Randolph, Babatunde Adeyemo, Eric Earl, Anders Perrone, Cristian Morales Carrasco, Johnny Uriarte-Lopez, Kathy Snider, Olivia Doyle, Michaela Cordova, Bonnie J. Nagel, Sarah W. Feldstein Ewing, Theodore Satterthwaite, Nico Dosenbach, Caterina Gratton, Steven Petersen, Óscar Miranda-Domínguez, Damien A. Fair
bioRxiv 2022.01.12.475422; doi: https://doi.org/10.1101/2022.01.12.475422
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A Precision Functional Atlas of Network Probabilities and Individual-Specific Network Topography
Robert J.M. Hermosillo, Lucille A. Moore, Eric Fezcko, Ally Dworetsky, Adam Pines, Gregory Conan, Michael A. Mooney, Anita Randolph, Babatunde Adeyemo, Eric Earl, Anders Perrone, Cristian Morales Carrasco, Johnny Uriarte-Lopez, Kathy Snider, Olivia Doyle, Michaela Cordova, Bonnie J. Nagel, Sarah W. Feldstein Ewing, Theodore Satterthwaite, Nico Dosenbach, Caterina Gratton, Steven Petersen, Óscar Miranda-Domínguez, Damien A. Fair
bioRxiv 2022.01.12.475422; doi: https://doi.org/10.1101/2022.01.12.475422

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