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Get Free AccessWe present an empirically benchmarked framework for sex-specific normative modeling of brain morphometry that can inform about the biological and behavioral significance of deviations from typical age-related neuroanatomical changes and support future study designs. This framework was developed using regional morphometric data from 37,407 healthy individuals (53% female; aged 3-90 years) following a comparative evaluation of eight algorithms and multiple covariate combinations pertaining to image acquisition and quality, parcellation software versions, global neuroimaging measures, and longitudinal stability. The Multivariate Factorial Polynomial Regression (MFPR) emerged as the preferred algorithm optimized using nonlinear polynomials for age and linear effects of global measures as covariates. The MFPR models showed excellent accuracy across the lifespan and within distinct age-bins, and longitudinal stability over a 2-year period. The performance of all MFPR models plateaued at sample sizes exceeding 3,000 study participants. The model and scripts described here are freely available through CentileBrain (https://centilebrain.org/).
Ruiyang Ge, Yuetong Yu, Yi Xuan Qi, Yunan Vera Fan, Shiyu Chen, Chuntong Gao, Shalaila S. Haas, Amirhossein Modabbernia, Faye New, Ingrid Agartz, Philip Asherson, Rosa Ayesa‐Arriola, Nerisa Banaj, Tobias Banaschewski, Sarah Baumeister, Alessandro Bertolino, Dorret I. Boomsma, Stefan Borgwardt, Josiane Bourque, Daniel Brandeis, Alan Breier, Henry Brodaty, Rachel M. Brouwer, Randy L. Buckner, Jan K. Buitelaar, Dara M. Cannon, Xavier Caseras, Simon Červenka, Patricia Conrod, Benedicto Crespo‐Facorro, Fabrice Crivello, Eveline A. Crone, L. de Haan, Greig I. de Zubicaray, Annabella Di Giorgio, Susanne Erk, Simon E. Fisher, Barbara Franke, Thomas Frodl, David C. Glahn, Dominik Grotegerd, Oliver Gruber, Patricia Gruner, Raquel E. Gur, Ruben C. Gur, Ben J. Harrison, Sean N. Hatton, Ian B. Hickie, Fleur M. Howells, Hilleke E. Hulshoff Pol, Chaim Huyser, Terry L. Jernigan, Jiyang Jiang, John A. Joska, René S. Kahn, Andrew Kalnin, Nicole A. Kochan, Sanne Koops, Jonna Kuntsi, Jim Lagopoulos, Luisa Lázaro, И. С. Лебедева, Christine Löchner, Nicholas G. Martin, Bernard Mazoyer, Brenna C. McDonald, Colm McDonald, Katie L. McMahon, Tomohiro Nakao, Lars Nyberg, Fabrizio Piras, Marı́a J. Portella, Jiang Qiu, Joshua L. Roffman, Perminder S. Sachdev, Nicole Sanford, Theodore D. Satterthwaite, Andrew J. Saykin, Gunter Schumann, Carl M. Sellgren, Kang Sim, Jordan W. Smoller, Jair C. Soares, Iris E. Sommer, Gianfranco Spalletta, Dan Joseph Stein, Christian K. Tamnes, Sophia I Thomopolous, A. S. Tomyshev, Diana Tordesillas‐Gutiérrez, Julian N. Trollor, Dennis van ‘t Ent, Odile A. van den Heuvel, Theo G.M. van Erp, Neeltje EM van Haren, Daniela Vecchio, Dick J. Veltman, Henrik Walter, Yang Wang, Bernd Weber (2023). Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model Optimization. , DOI: https://doi.org/10.1101/2023.01.30.523509.
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Type
Preprint
Year
2023
Authors
100
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1101/2023.01.30.523509
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