Nature Communications (May 2022)
Dissociable multi-scale patterns of development in personalized brain networks
- Adam R. Pines,
- Bart Larsen,
- Zaixu Cui,
- Valerie J. Sydnor,
- Maxwell A. Bertolero,
- Azeez Adebimpe,
- Aaron F. Alexander-Bloch,
- Christos Davatzikos,
- Damien A. Fair,
- Ruben C. Gur,
- Raquel E. Gur,
- Hongming Li,
- Michael P. Milham,
- Tyler M. Moore,
- Kristin Murtha,
- Linden Parkes,
- Sharon L. Thompson-Schill,
- Sheila Shanmugan,
- Russell T. Shinohara,
- Sarah M. Weinstein,
- Danielle S. Bassett,
- Yong Fan,
- Theodore D. Satterthwaite
Affiliations
- Adam R. Pines
- The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania
- Bart Larsen
- The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania
- Zaixu Cui
- The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania
- Valerie J. Sydnor
- The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania
- Maxwell A. Bertolero
- The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania
- Azeez Adebimpe
- The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania
- Aaron F. Alexander-Bloch
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania
- Christos Davatzikos
- Department of Radiology, the University of Pennsylvania
- Damien A. Fair
- Department of Pediatrics, College of Education and Human Development, University of Minnesota
- Ruben C. Gur
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania
- Raquel E. Gur
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania
- Hongming Li
- Department of Radiology, the University of Pennsylvania
- Michael P. Milham
- Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research
- Tyler M. Moore
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania
- Kristin Murtha
- The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania
- Linden Parkes
- The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania
- Sharon L. Thompson-Schill
- Department of Psychology, University of Pennsylvania
- Sheila Shanmugan
- The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania
- Russell T. Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania
- Sarah M. Weinstein
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania
- Danielle S. Bassett
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania
- Yong Fan
- Department of Radiology, the University of Pennsylvania
- Theodore D. Satterthwaite
- The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania
- DOI
- https://doi.org/10.1038/s41467-022-30244-4
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 15
Abstract
Studies of brain network development typically focus on a single scale. Here, the authors derived personalized functional networks across scales, and find that network development systematically adheres to and strengthens hierarchical cortical organization.
