Brain‐age prediction: Systematic evaluation of site effects, and sample age range and size
Brain‐age prediction: Systematic evaluation of site effects, and sample age range and size
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ENIGMA‐Lifespan Working Group , Yu, Yuetong , Cui, Hao‐Qi , Haas, Shalaila S. , New, Faye , Sanford, Nicole , Yu, Kevin , Zhan, Denghuang , Yang, Guoyuan , Gao, Jia‐Hong , Wei, Dongtao , Qiu, Jiang , Banaj, Nerisa , Boomsma, Dorret I. , Breier, Alan , Brodaty, Henry , Buckner, Randy L. , Buitelaar, Jan K. , Cannon, Dara M. , Caseras, Xavier , Clark, Vincent P. , Conrod, Patricia J. , Crivello, Fabrice , Crone, Eveline A. , Dannlowski, Udo , Davey, Christopher G. , Haan, Lieuwe , Zubicaray, Greig I. , Di Giorgio, Annabella , Fisch, Lukas , Fisher, Simon E. , Franke, Barbara , Glahn, David C. , Grotegerd, Dominik , Gruber, Oliver , Gur, Raquel E. , Gur, Ruben C. , Hahn, Tim , Harrison, Ben J. , Hatton, Sean , Hickie, Ian B. , Hulshoff Pol, Hilleke E. , Jamieson, Alec J. , Jernigan, Terry L. , Jiang, Jiyang , Kalnin, Andrew J. , Kang, Sim , Kochan, Nicole A. , Kraus, Anna , Lagopoulos, Jim , Lazaro, Luisa , McDonald, Brenna C. , McDonald, Colm , McMahon, Katie L. , Mwangi, Benson , Piras, Fabrizio , Rodriguez‐Cruces, Raul , Royer, Jessica , Sachdev, Perminder S. , Satterthwaite, Theodore D. , Saykin, Andrew J. , Schumann, Gunter , Sevaggi, Pierluigi , Smoller, Jordan W. , Soares, Jair C. , Spalletta, Gianfranco , Tamnes, Christian K. , Trollor, Julian N. , Van't Ent, Dennis , Vecchio, Daniela , Walter, Henrik , Wang, Yang , Weber, Bernd , Wen, Wei , Wierenga, Lara M. , Williams, Steven C. R. , Wu, Mon‐Ju , Zunta‐Soares, Giovana B. , Bernhardt, Boris , Thompson, Paul , Frangou, Sophia and Ge, Ruiyang
Publisher
Hoboken, USA: John Wiley & Sons, Inc
Journal title
Language
English
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Publisher
Hoboken, USA: John Wiley & Sons, Inc
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Contents
Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain‐age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain‐age has highlighted the need for robust and publicly available brain‐age models pre‐trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain‐age model. Here we expand this work to develop, empirically validate, and disseminate a pre‐trained brain‐age model to cover most of the human lifespan. To achieve this, we selected the best‐performing model after systematically examining the impact of seven site harmonization strategies, age range, and sample size on brain‐age prediction in a discovery sample of brain morphometric measures from 35,683 healthy individuals (age range: 5–90 years; 53.59% female). The pre‐trained models were tested for cross‐dataset generalizability in an independent sample comprising 2101 healthy individuals (age range: 8–80 years; 55.35% female) and for longitudinal consistency in a further sample comprising 377 healthy individuals (age range: 9–25 years; 49.87% female). This empirical examination yielded the following findings: (1) the accuracy of age prediction from morphometry data was higher when no site harmonization was applied; (2) dividing the discovery sample into two age‐bins (5–40 and 40–90 years) provided a better balance between model accuracy and explained age variance than other alternatives; (3) model accuracy for brain‐age prediction plateaued at a sample size exceeding 1600 participants. These findings have been incorporated into CentileBrain (https://centilebrain.org/#/brainAGE2), an open‐science, web‐based platform for individualized neuroimaging metrics.
In this work, we developed and empirically validated sex‐specific brain‐age models to cover most of the human lifespan (5–90 years). Specifically, we selected the best‐performing model after systematically examining the impact of seven site harmonization strategi...
Alternative Titles
Full title
Brain‐age prediction: Systematic evaluation of site effects, and sample age range and size
Authors, Artists and Contributors
Author / Creator
Yu, Yuetong
Cui, Hao‐Qi
Haas, Shalaila S.
New, Faye
Sanford, Nicole
Yu, Kevin
Zhan, Denghuang
Yang, Guoyuan
Gao, Jia‐Hong
Wei, Dongtao
Qiu, Jiang
Banaj, Nerisa
Boomsma, Dorret I.
Breier, Alan
Brodaty, Henry
Buckner, Randy L.
Buitelaar, Jan K.
Cannon, Dara M.
Caseras, Xavier
Clark, Vincent P.
Conrod, Patricia J.
Crivello, Fabrice
Crone, Eveline A.
Dannlowski, Udo
Davey, Christopher G.
Haan, Lieuwe
Zubicaray, Greig I.
Di Giorgio, Annabella
Fisch, Lukas
Fisher, Simon E.
Franke, Barbara
Glahn, David C.
Grotegerd, Dominik
Gruber, Oliver
Gur, Raquel E.
Gur, Ruben C.
Hahn, Tim
Harrison, Ben J.
Hatton, Sean
Hickie, Ian B.
Hulshoff Pol, Hilleke E.
Jamieson, Alec J.
Jernigan, Terry L.
Jiang, Jiyang
Kalnin, Andrew J.
Kang, Sim
Kochan, Nicole A.
Kraus, Anna
Lagopoulos, Jim
Lazaro, Luisa
McDonald, Brenna C.
McDonald, Colm
McMahon, Katie L.
Mwangi, Benson
Piras, Fabrizio
Rodriguez‐Cruces, Raul
Royer, Jessica
Sachdev, Perminder S.
Satterthwaite, Theodore D.
Saykin, Andrew J.
Schumann, Gunter
Sevaggi, Pierluigi
Smoller, Jordan W.
Soares, Jair C.
Spalletta, Gianfranco
Tamnes, Christian K.
Trollor, Julian N.
Van't Ent, Dennis
Vecchio, Daniela
Walter, Henrik
Wang, Yang
Weber, Bernd
Wen, Wei
Wierenga, Lara M.
Williams, Steven C. R.
Wu, Mon‐Ju
Zunta‐Soares, Giovana B.
Bernhardt, Boris
Thompson, Paul
Frangou, Sophia
Ge, Ruiyang
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11215839
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11215839
Other Identifiers
ISSN
1065-9471,1097-0193
E-ISSN
1097-0193
DOI
10.1002/hbm.26768