Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain :: Algorithm Benchmarking and Model Optimization

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 Buckner; Jan Buitelaar; Dara M Cannon; Xavier Caseras; Simon Cervenka; Patricia Conrod; Benedicto Crespo-Facorro; Fabrice Crivello; Eveline A Crone; Liewe de Haan; Greig 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 Hickie; Fleur M. Howells; Hilleke E Hulshoff Pol; Chaim Huyser; Terry L Jernigan; Jiyang Jiang; John A Joska; René S Kahn; Andrew J Kalnin; Nicole A Kochan; Sanne Koops; Jonna Kuntsi; Jim Lagopoulos; Luisa Lazaro; Irina Lebedeva; Christine Lochner; Nicholas G. Martin; Bernard Mazoyer; Brenna C McDonald; Colm McDonald; Katie L McMahon; Tomohiro Nakao; Lars Nyberg; Fabrizio Piras; Maria Jesús Portella Moll; 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 Soares; Iris E Sommer; Gianfranco Spalletta; Dan J Stein; Christian K. Tamnes; Sophia I Thomopolous; Alexander S Tomyshev; Diana Tordesillas-Gutiérrez; Julian Trollor; Dennis van 't Ent; Odile A van den Heuvel; Theo GM van Erp; Neeltje EM van Haren; Daniela Vecchio; Dick J Veltman; Henrik Walter; Yang Wang; Bernd Weber; Dongtao Wei; Wei Wen; Lars T Westlye; Lara M Wierenga; Steven CR Williams; Margaret J Wright; Sarah Medland; Mon-Ju Wu; Kevin Yu; Neda Jahanshad; Paul M Thompson; Sophia Frangou

doi:10.1101/2023.01.30.523509

Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain : Algorithm Benchmarking and Model Optimization

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 BrandeisAlan Breier, Henry Brodaty, Rachel M Brouwer, Randy Buckner, Jan Buitelaar, Dara M Cannon, Xavier Caseras, Simon Cervenka, Patricia Conrod, Benedicto Crespo-Facorro, Fabrice Crivello, Eveline A Crone, Liewe de Haan, Greig 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 Hickie, Fleur M. Howells, Hilleke E Hulshoff Pol, Chaim Huyser, Terry L Jernigan, Jiyang Jiang, John A Joska, René S Kahn, Andrew J Kalnin, Nicole A Kochan, Sanne Koops, Jonna Kuntsi, Jim Lagopoulos, Luisa Lazaro, Irina Lebedeva, Christine Lochner, Nicholas G. Martin, Bernard Mazoyer, Brenna C McDonald, Colm McDonald, Katie L McMahon, Tomohiro Nakao, Lars Nyberg, Fabrizio Piras, Maria Jesús Portella Moll, 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 Soares, Iris E Sommer, Gianfranco Spalletta, Dan J Stein, Christian K. Tamnes, Sophia I Thomopolous, Alexander S Tomyshev, Diana Tordesillas-Gutiérrez, Julian Trollor, Dennis van 't Ent, Odile A van den Heuvel, Theo GM van Erp, Neeltje EM van Haren, Daniela Vecchio, Dick J Veltman, Henrik Walter, Yang Wang, Bernd Weber, Dongtao Wei, Wei Wen, Lars T Westlye, Lara M Wierenga, Steven CR Williams, Margaret J Wright, Sarah Medland, Mon-Ju Wu, Kevin Yu, Neda Jahanshad, Paul M Thompson, Sophia Frangou

Department of Psychiatry and Legal Medicine

Research output: Contribution to journal › Article › Research › peer-review

Abstract

We 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 ().

Original language	English
Journal	bioRxiv
DOIs	https://doi.org/10.1101/2023.01.30.523509
Publication status	Published - 2023

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10.1101/2023.01.30.523509

https://ddd.uab.cat/record/291449

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Ge, R., Yu, Y., Qi, Y. X., Fan, Y. V., Chen, S., Gao, C., Haas, S. S., Modabbernia, A., New, F., Agartz, I., Asherson, P., Ayesa-Arriola, R., Banaj, N., Banaschewski, T., Baumeister, S., Bertolino, A., Boomsma, D. I., Borgwardt, S., Bourque, J., ... Frangou, S. (2023). Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain : Algorithm Benchmarking and Model Optimization. bioRxiv. https://doi.org/10.1101/2023.01.30.523509

@article{19aa77b7394e4426b33aa8480065649e,

title = "Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain :: Algorithm Benchmarking and Model Optimization",

abstract = "We 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 ().",

author = "Ruiyang Ge and Yuetong Yu and Qi, {Yi Xuan} and Fan, {Yunan Vera} and Shiyu Chen and Chuntong Gao and Haas, {Shalaila S} and Amirhossein Modabbernia and Faye New and Ingrid Agartz and Philip Asherson and Rosa Ayesa-Arriola and Nerisa Banaj and Tobias Banaschewski and Sarah Baumeister and Alessandro Bertolino and Boomsma, {Dorret I.} and Stefan Borgwardt and Josiane Bourque and Daniel Brandeis and Alan Breier and Henry Brodaty and Brouwer, {Rachel M} and Randy Buckner and Jan Buitelaar and Cannon, {Dara M} and Xavier Caseras and Simon Cervenka and Patricia Conrod and Benedicto Crespo-Facorro and Fabrice Crivello and Crone, {Eveline A} and {de Haan}, Liewe and {de Zubicaray}, Greig and {Di Giorgio}, Annabella and Susanne Erk and Fisher, {Simon E} and Barbara Franke and Thomas Frodl and Glahn, {David C.} and Dominik Grotegerd and Oliver Gruber and Patricia Gruner and Gur, {Raquel E} and Gur, {Ruben C} and Harrison, {Ben J} and Hatton, {Sean N.} and Ian Hickie and Howells, {Fleur M.} and Pol, {Hilleke E Hulshoff} and Chaim Huyser and Jernigan, {Terry L} and Jiyang Jiang and Joska, {John A} and Kahn, {Ren{\'e} S} and Kalnin, {Andrew J} and Kochan, {Nicole A} and Sanne Koops and Jonna Kuntsi and Jim Lagopoulos and Luisa Lazaro and Irina Lebedeva and Christine Lochner and Martin, {Nicholas G.} and Bernard Mazoyer and McDonald, {Brenna C} and Colm McDonald and McMahon, {Katie L} and Tomohiro Nakao and Lars Nyberg and Fabrizio Piras and {Portella Moll}, {Maria Jes{\'u}s} and Jiang Qiu and Roffman, {Joshua L} and Sachdev, {Perminder S.} and Nicole Sanford and Satterthwaite, {Theodore D} and Saykin, {Andrew J} and Gunter Schumann and Sellgren, {Carl M} and Kang Sim and Smoller, {Jordan W} and Jair Soares and Sommer, {Iris E} and Gianfranco Spalletta and Stein, {Dan J} and Tamnes, {Christian K.} and Thomopolous, {Sophia I} and Tomyshev, {Alexander S} and Diana Tordesillas-Guti{\'e}rrez and Julian Trollor and {van 't Ent}, Dennis and {van den Heuvel}, {Odile A} and {van Erp}, {Theo GM} and {van Haren}, {Neeltje EM} and Daniela Vecchio and Veltman, {Dick J} and Henrik Walter and Yang Wang and Bernd Weber and Dongtao Wei and Wei Wen and Westlye, {Lars T} and Wierenga, {Lara M} and Williams, {Steven CR} and Wright, {Margaret J} and Sarah Medland and Mon-Ju Wu and Kevin Yu and Neda Jahanshad and Thompson, {Paul M} and Sophia Frangou",

year = "2023",

doi = "10.1101/2023.01.30.523509",

language = "English",

}

Ge, R, Yu, Y, Qi, YX, Fan, YV, Chen, S, Gao, C, Haas, SS, Modabbernia, A, New, F, Agartz, I, Asherson, P, Ayesa-Arriola, R, Banaj, N, Banaschewski, T, Baumeister, S, Bertolino, A, Boomsma, DI, Borgwardt, S, Bourque, J, Brandeis, D, Breier, A, Brodaty, H, Brouwer, RM, Buckner, R, Buitelaar, J, Cannon, DM, Caseras, X, Cervenka, S, Conrod, P, Crespo-Facorro, B, Crivello, F, Crone, EA, de Haan, L, de Zubicaray, G, Di Giorgio, A, Erk, S, Fisher, SE, Franke, B, Frodl, T, Glahn, DC, Grotegerd, D, Gruber, O, Gruner, P, Gur, RE, Gur, RC, Harrison, BJ, Hatton, SN, Hickie, I, Howells, FM, Pol, HEH, Huyser, C, Jernigan, TL, Jiang, J, Joska, JA, Kahn, RS, Kalnin, AJ, Kochan, NA, Koops, S, Kuntsi, J, Lagopoulos, J, Lazaro, L, Lebedeva, I, Lochner, C, Martin, NG, Mazoyer, B, McDonald, BC, McDonald, C, McMahon, KL, Nakao, T, Nyberg, L, Piras, F, Portella Moll, MJ, Qiu, J, Roffman, JL, Sachdev, PS, Sanford, N, Satterthwaite, TD, Saykin, AJ, Schumann, G, Sellgren, CM, Sim, K, Smoller, JW, Soares, J, Sommer, IE, Spalletta, G, Stein, DJ, Tamnes, CK, Thomopolous, SI, Tomyshev, AS, Tordesillas-Gutiérrez, D, Trollor, J, van 't Ent, D, van den Heuvel, OA, van Erp, TGM, van Haren, NEM, Vecchio, D, Veltman, DJ, Walter, H, Wang, Y, Weber, B, Wei, D, Wen, W, Westlye, LT, Wierenga, LM, Williams, SCR, Wright, MJ, Medland, S, Wu, M-J, Yu, K, Jahanshad, N, Thompson, PM & Frangou, S 2023, 'Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain : Algorithm Benchmarking and Model Optimization', bioRxiv. https://doi.org/10.1101/2023.01.30.523509

TY - JOUR

T1 - Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain :

T2 - Algorithm Benchmarking and Model Optimization

AU - Ge, Ruiyang

AU - Yu, Yuetong

AU - Qi, Yi Xuan

AU - Fan, Yunan Vera

AU - Chen, Shiyu

AU - Gao, Chuntong

AU - Haas, Shalaila S

AU - Modabbernia, Amirhossein

AU - New, Faye

AU - Agartz, Ingrid

AU - Asherson, Philip

AU - Ayesa-Arriola, Rosa

AU - Banaj, Nerisa

AU - Banaschewski, Tobias

AU - Baumeister, Sarah

AU - Bertolino, Alessandro

AU - Boomsma, Dorret I.

AU - Borgwardt, Stefan

AU - Bourque, Josiane

AU - Brandeis, Daniel

AU - Breier, Alan

AU - Brodaty, Henry

AU - Brouwer, Rachel M

AU - Buckner, Randy

AU - Buitelaar, Jan

AU - Cannon, Dara M

AU - Caseras, Xavier

AU - Cervenka, Simon

AU - Conrod, Patricia

AU - Crespo-Facorro, Benedicto

AU - Crivello, Fabrice

AU - Crone, Eveline A

AU - de Haan, Liewe

AU - de Zubicaray, Greig

AU - Di Giorgio, Annabella

AU - Erk, Susanne

AU - Fisher, Simon E

AU - Franke, Barbara

AU - Frodl, Thomas

AU - Glahn, David C.

AU - Grotegerd, Dominik

AU - Gruber, Oliver

AU - Gruner, Patricia

AU - Gur, Raquel E

AU - Gur, Ruben C

AU - Harrison, Ben J

AU - Hatton, Sean N.

AU - Hickie, Ian

AU - Howells, Fleur M.

AU - Pol, Hilleke E Hulshoff

AU - Huyser, Chaim

AU - Jernigan, Terry L

AU - Jiang, Jiyang

AU - Joska, John A

AU - Kahn, René S

AU - Kalnin, Andrew J

AU - Kochan, Nicole A

AU - Koops, Sanne

AU - Kuntsi, Jonna

AU - Lagopoulos, Jim

AU - Lazaro, Luisa

AU - Lebedeva, Irina

AU - Lochner, Christine

AU - Martin, Nicholas G.

AU - Mazoyer, Bernard

AU - McDonald, Brenna C

AU - McDonald, Colm

AU - McMahon, Katie L

AU - Nakao, Tomohiro

AU - Nyberg, Lars

AU - Piras, Fabrizio

AU - Portella Moll, Maria Jesús

AU - Qiu, Jiang

AU - Roffman, Joshua L

AU - Sachdev, Perminder S.

AU - Sanford, Nicole

AU - Satterthwaite, Theodore D

AU - Saykin, Andrew J

AU - Schumann, Gunter

AU - Sellgren, Carl M

AU - Sim, Kang

AU - Smoller, Jordan W

AU - Soares, Jair

AU - Sommer, Iris E

AU - Spalletta, Gianfranco

AU - Stein, Dan J

AU - Tamnes, Christian K.

AU - Thomopolous, Sophia I

AU - Tomyshev, Alexander S

AU - Tordesillas-Gutiérrez, Diana

AU - Trollor, Julian

AU - van 't Ent, Dennis

AU - van den Heuvel, Odile A

AU - van Erp, Theo GM

AU - van Haren, Neeltje EM

AU - Vecchio, Daniela

AU - Veltman, Dick J

AU - Walter, Henrik

AU - Wang, Yang

AU - Weber, Bernd

AU - Wei, Dongtao

AU - Wen, Wei

AU - Westlye, Lars T

AU - Wierenga, Lara M

AU - Williams, Steven CR

AU - Wright, Margaret J

AU - Medland, Sarah

AU - Wu, Mon-Ju

AU - Yu, Kevin

AU - Jahanshad, Neda

AU - Thompson, Paul M

AU - Frangou, Sophia

PY - 2023

Y1 - 2023

N2 - We 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 ().

AB - We 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 ().

U2 - 10.1101/2023.01.30.523509

DO - 10.1101/2023.01.30.523509

M3 - Article

C2 - 38076938

JO - bioRxiv

JF - bioRxiv

ER -

Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain : Algorithm Benchmarking and Model Optimization

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