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Personalized Functional Brain Network Topography Predicts Individual Differences in Youth Cognition

View ORCID ProfileArielle S. Keller, Adam R. Pines, Valerie J. Sydnor, Zaixu Cui, Maxwell A. Bertolero, Ran Barzilay, Aaron F. Alexander-Bloch, Nora Byington, View ORCID ProfileAndrew Chen, Gregory M. Conan, Christos Davatazikos, Eric Feczko, Timothy J. Hendrickson, Audrey Houghton, Bart Larsen, Hongming Li, Oscar Miranda-Dominguez, David R. Roalf, Anders Perrone, Sheila Shanmugan, Russell T. Shinohara, Yong Fan, Damien A. Fair, Theodore D. Satterthwaite
doi: https://doi.org/10.1101/2022.10.11.511823
Arielle S. Keller
aPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
bDepartment of Psychiatry, University of Pennsylvania, PA, 19104, USA
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  • ORCID record for Arielle S. Keller
Adam R. Pines
aPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
bDepartment of Psychiatry, University of Pennsylvania, PA, 19104, USA
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Valerie J. Sydnor
aPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
bDepartment of Psychiatry, University of Pennsylvania, PA, 19104, USA
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Zaixu Cui
cChinese Institute for Brain Research, Beijing, China
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Maxwell A. Bertolero
aPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
bDepartment of Psychiatry, University of Pennsylvania, PA, 19104, USA
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Ran Barzilay
bDepartment of Psychiatry, University of Pennsylvania, PA, 19104, USA
dDepartment of Child and Adolescent Psychiatry and Behavioral Science, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
eLifespan Brain Institute, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
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Aaron F. Alexander-Bloch
bDepartment of Psychiatry, University of Pennsylvania, PA, 19104, USA
dDepartment of Child and Adolescent Psychiatry and Behavioral Science, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
eLifespan Brain Institute, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
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Nora Byington
fMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA
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Andrew Chen
gPenn Statistics in Imaging and Visualization Center, Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
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Gregory M. Conan
fMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA
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Christos Davatazikos
hDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA
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Eric Feczko
fMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA
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Timothy J. Hendrickson
fMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA
iUniversity of Minnesota Informatics Institute
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Audrey Houghton
fMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA
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Bart Larsen
aPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
bDepartment of Psychiatry, University of Pennsylvania, PA, 19104, USA
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Hongming Li
hDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA
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Oscar Miranda-Dominguez
fMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA
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David R. Roalf
bDepartment of Psychiatry, University of Pennsylvania, PA, 19104, USA
eLifespan Brain Institute, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
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Anders Perrone
fMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA
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Sheila Shanmugan
aPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
bDepartment of Psychiatry, University of Pennsylvania, PA, 19104, USA
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Russell T. Shinohara
gPenn Statistics in Imaging and Visualization Center, Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
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Yong Fan
hDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA
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Damien A. Fair
fMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA
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Theodore D. Satterthwaite
aPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
bDepartment of Psychiatry, University of Pennsylvania, PA, 19104, USA
dDepartment of Child and Adolescent Psychiatry and Behavioral Science, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
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  • For correspondence: sattertt@pennmedicine.upenn.edu
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Abstract

Individual differences in cognition during childhood are associated with important social, physical, and mental health outcomes in adolescence and adulthood. Given that cortical surface arealization during development reflects the brain’s functional prioritization, quantifying variation in the topography of functional brain networks across the developing cortex may provide insight regarding individual differences in cognition. We test this idea by defining personalized functional networks (PFNs) that account for interindividual heterogeneity in functional brain network topography in 9-10 year olds from the Adolescent Brain Cognitive DevelopmentSM Study. Across matched discovery (n=3,525) and replication (n=3,447) samples, the total cortical representation of fronto-parietal PFNs positively correlated with general cognition. Cross-validated ridge regressions trained on PFN topography predicted cognition across domains, with prediction accuracy increasing along the cortex’s sensorimotor-association organizational axis. These results establish that functional network topography heterogeneity is associated with individual differences in cognition before the critical transition into adolescence.

Competing Interest Statement

Ran Barzilay reports owning stock in Taliaz Health and serving on the scientific boards of Taliaz Health and Zynerba Pharmaceuticals outside the submitted work.

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-NC-ND 4.0 International license.
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Posted October 14, 2022.
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Personalized Functional Brain Network Topography Predicts Individual Differences in Youth Cognition
Arielle S. Keller, Adam R. Pines, Valerie J. Sydnor, Zaixu Cui, Maxwell A. Bertolero, Ran Barzilay, Aaron F. Alexander-Bloch, Nora Byington, Andrew Chen, Gregory M. Conan, Christos Davatazikos, Eric Feczko, Timothy J. Hendrickson, Audrey Houghton, Bart Larsen, Hongming Li, Oscar Miranda-Dominguez, David R. Roalf, Anders Perrone, Sheila Shanmugan, Russell T. Shinohara, Yong Fan, Damien A. Fair, Theodore D. Satterthwaite
bioRxiv 2022.10.11.511823; doi: https://doi.org/10.1101/2022.10.11.511823
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Personalized Functional Brain Network Topography Predicts Individual Differences in Youth Cognition
Arielle S. Keller, Adam R. Pines, Valerie J. Sydnor, Zaixu Cui, Maxwell A. Bertolero, Ran Barzilay, Aaron F. Alexander-Bloch, Nora Byington, Andrew Chen, Gregory M. Conan, Christos Davatazikos, Eric Feczko, Timothy J. Hendrickson, Audrey Houghton, Bart Larsen, Hongming Li, Oscar Miranda-Dominguez, David R. Roalf, Anders Perrone, Sheila Shanmugan, Russell T. Shinohara, Yong Fan, Damien A. Fair, Theodore D. Satterthwaite
bioRxiv 2022.10.11.511823; doi: https://doi.org/10.1101/2022.10.11.511823

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