Increased power by harmonizing structural MRI site differences with the comBat batch adjustment method in ENIGMA
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium combines neuroimaging data from many institutions worldwide. However, this introduces heterogeneity due to different scanni...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | España |
| Recursos: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/219930 |
| Acesso em linha: | https://hdl.handle.net/2445/219930 |
| Access Level: | acceso abierto |
| Palavra-chave: | Diagnòstic per la imatge Cervell Esquizofrènia Diagnostic imaging Brain Schizophrenia |
| id |
ES_b7eff231858044c60c8be2e71d541913 |
|---|---|
| oai_identifier_str |
oai:diposit.ub.edu:2445/219930 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Increased power by harmonizing structural MRI site differences with the comBat batch adjustment method in ENIGMARadua, JoaquimVieta i Pascual, Eduard, 1963-Shinohara, RussellKochunov, PeterQuidé, YannGreen, Melissa J.Weickert, Cynthia S.Weickert, ThomasBruggemann, JasonKircher, TiloNenadic, IgorCairns, Murray J.Seal, MarcSchall, UlrichHenskens, FransFullerton, Janice M.Mowry, BryanPantelis, ChristosLenroot, RhoshelCropley, VanessaLoughland, CarmelScott, Rodney J.Wolf, DanielSatterthwaite, Theodore D.Tan, YunlongSim, KangPiras, FabrizioSpalletta, GianfrancoBanaj, NerisaPomarol-Clotet, EdithSolanes, AleixAlbajes Eizagirre, AntonCanales Rodríguez, Erick JorgeSarró, SalvadorDi Giorgio, AnnabellaBertolino, AlessandroStäblein, MichaelOertel, ViolaKnöchel, ChristianBorgwardt, Stefandu Plessis, StefanYun, Je-YeonKwon, Jun SooDannlowski, UdoHahn, TimGrotegerd, DominikAlloza, ClaraArango López, CelsoJanssen, JoostDíaz Caneja, Covadonga M.Jiang, WenhaoCalhoun, VinceEhrlich, StefanYang, KunCascella, Nicola G.Takayanagi, YoichiroSawa, AkiraTomyshev, AlexanderLebedeva, IrinaKaleda, VasilyKirschner, MatthiasHoschl, CyrilTomecek, DavidSkoch, Antoninvan Amelsvoort, ThereseBakker, GeorJames, AnthonyPreda, AdrianWeideman, AndreaStein, Dan J.Howells, FleurUhlmann, AnneTemmingh, HenkLópez Jaramillo, CarlosDíaz Zuluaga, Ana M.Fortea, LauraMartínez Heras, EloySolana Díaz, ElisabethLlufriu Duran, SaraENIGMA ConsortiumENIGMA Consortium collaboratorsDiagnòstic per la imatgeCervellEsquizofrèniaDiagnostic imagingBrainSchizophreniaA common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium combines neuroimaging data from many institutions worldwide. However, this introduces heterogeneity due to different scanning devices and sequences. ENIGMA projects commonly address this heterogeneity with random-effects meta-analysis or mixed-effects mega-analysis. Here we tested whether the batch adjustment method, ComBat, can further reduce site-related heterogeneity and thus increase statistical power. We conducted random-effects meta-analyses, mixed-effects mega-analyses and ComBat mega-analyses to compare cortical thickness, surface area and subcortical volumes between 2897 individuals with a diagnosis of schizophrenia and 3141 healthy controls from 33 sites. Specifically, we compared the imaging data between individuals with schizophrenia and healthy controls, covarying for age and sex. The use of ComBat substantially increased the statistical significance of the findings as compared to random-effects meta-analyses. The findings were more similar when comparing ComBat with mixed-effects mega-analysis, although ComBat still slightly increased the statistical significance. ComBat also showed increased statistical power when we repeated the analyses with fewer sites. Results were nearly identical when we applied the ComBat harmonization separately for cortical thickness, cortical surface area and subcortical volumes. Therefore, we recommend applying the ComBat function to attenuate potential effects of site in ENIGMA projects and other multi-site structural imaging work. We provide easy-to-use functions in R that work even if imaging data are partially missing in some brain regions, and they can be trained with one data set and then applied to another (a requirement for some analyses such as machine learning).Elsevier B.V.2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/219930Articles publicats en revistes (Medicina)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1016/j.neuroimage.2020.116956Neuroimage, 2020, vol. 218https://doi.org/10.1016/j.neuroimage.2020.116956cc-by-nc-nd (c) Radua, J. et al., 2020http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2199302026-05-27T06:46:51Z |
| dc.title.none.fl_str_mv |
Increased power by harmonizing structural MRI site differences with the comBat batch adjustment method in ENIGMA |
| title |
Increased power by harmonizing structural MRI site differences with the comBat batch adjustment method in ENIGMA |
| spellingShingle |
Increased power by harmonizing structural MRI site differences with the comBat batch adjustment method in ENIGMA Radua, Joaquim Diagnòstic per la imatge Cervell Esquizofrènia Diagnostic imaging Brain Schizophrenia |
| title_short |
Increased power by harmonizing structural MRI site differences with the comBat batch adjustment method in ENIGMA |
| title_full |
Increased power by harmonizing structural MRI site differences with the comBat batch adjustment method in ENIGMA |
| title_fullStr |
Increased power by harmonizing structural MRI site differences with the comBat batch adjustment method in ENIGMA |
| title_full_unstemmed |
Increased power by harmonizing structural MRI site differences with the comBat batch adjustment method in ENIGMA |
| title_sort |
Increased power by harmonizing structural MRI site differences with the comBat batch adjustment method in ENIGMA |
| dc.creator.none.fl_str_mv |
Radua, Joaquim Vieta i Pascual, Eduard, 1963- Shinohara, Russell Kochunov, Peter Quidé, Yann Green, Melissa J. Weickert, Cynthia S. Weickert, Thomas Bruggemann, Jason Kircher, Tilo Nenadic, Igor Cairns, Murray J. Seal, Marc Schall, Ulrich Henskens, Frans Fullerton, Janice M. Mowry, Bryan Pantelis, Christos Lenroot, Rhoshel Cropley, Vanessa Loughland, Carmel Scott, Rodney J. Wolf, Daniel Satterthwaite, Theodore D. Tan, Yunlong Sim, Kang Piras, Fabrizio Spalletta, Gianfranco Banaj, Nerisa Pomarol-Clotet, Edith Solanes, Aleix Albajes Eizagirre, Anton Canales Rodríguez, Erick Jorge Sarró, Salvador Di Giorgio, Annabella Bertolino, Alessandro Stäblein, Michael Oertel, Viola Knöchel, Christian Borgwardt, Stefan du Plessis, Stefan Yun, Je-Yeon Kwon, Jun Soo Dannlowski, Udo Hahn, Tim Grotegerd, Dominik Alloza, Clara Arango López, Celso Janssen, Joost Díaz Caneja, Covadonga M. Jiang, Wenhao Calhoun, Vince Ehrlich, Stefan Yang, Kun Cascella, Nicola G. Takayanagi, Yoichiro Sawa, Akira Tomyshev, Alexander Lebedeva, Irina Kaleda, Vasily Kirschner, Matthias Hoschl, Cyril Tomecek, David Skoch, Antonin van Amelsvoort, Therese Bakker, Geor James, Anthony Preda, Adrian Weideman, Andrea Stein, Dan J. Howells, Fleur Uhlmann, Anne Temmingh, Henk López Jaramillo, Carlos Díaz Zuluaga, Ana M. Fortea, Laura Martínez Heras, Eloy Solana Díaz, Elisabeth Llufriu Duran, Sara ENIGMA Consortium ENIGMA Consortium collaborators |
| author |
Radua, Joaquim |
| author_facet |
Radua, Joaquim Vieta i Pascual, Eduard, 1963- Shinohara, Russell Kochunov, Peter Quidé, Yann Green, Melissa J. Weickert, Cynthia S. Weickert, Thomas Bruggemann, Jason Kircher, Tilo Nenadic, Igor Cairns, Murray J. Seal, Marc Schall, Ulrich Henskens, Frans Fullerton, Janice M. Mowry, Bryan Pantelis, Christos Lenroot, Rhoshel Cropley, Vanessa Loughland, Carmel Scott, Rodney J. Wolf, Daniel Satterthwaite, Theodore D. Tan, Yunlong Sim, Kang Piras, Fabrizio Spalletta, Gianfranco Banaj, Nerisa Pomarol-Clotet, Edith Solanes, Aleix Albajes Eizagirre, Anton Canales Rodríguez, Erick Jorge Sarró, Salvador Di Giorgio, Annabella Bertolino, Alessandro Stäblein, Michael Oertel, Viola Knöchel, Christian Borgwardt, Stefan du Plessis, Stefan Yun, Je-Yeon Kwon, Jun Soo Dannlowski, Udo Hahn, Tim Grotegerd, Dominik Alloza, Clara Arango López, Celso Janssen, Joost Díaz Caneja, Covadonga M. Jiang, Wenhao Calhoun, Vince Ehrlich, Stefan Yang, Kun Cascella, Nicola G. Takayanagi, Yoichiro Sawa, Akira Tomyshev, Alexander Lebedeva, Irina Kaleda, Vasily Kirschner, Matthias Hoschl, Cyril Tomecek, David Skoch, Antonin van Amelsvoort, Therese Bakker, Geor James, Anthony Preda, Adrian Weideman, Andrea Stein, Dan J. Howells, Fleur Uhlmann, Anne Temmingh, Henk López Jaramillo, Carlos Díaz Zuluaga, Ana M. Fortea, Laura Martínez Heras, Eloy Solana Díaz, Elisabeth Llufriu Duran, Sara ENIGMA Consortium ENIGMA Consortium collaborators |
| author_role |
author |
| author2 |
Vieta i Pascual, Eduard, 1963- Shinohara, Russell Kochunov, Peter Quidé, Yann Green, Melissa J. Weickert, Cynthia S. Weickert, Thomas Bruggemann, Jason Kircher, Tilo Nenadic, Igor Cairns, Murray J. Seal, Marc Schall, Ulrich Henskens, Frans Fullerton, Janice M. Mowry, Bryan Pantelis, Christos Lenroot, Rhoshel Cropley, Vanessa Loughland, Carmel Scott, Rodney J. Wolf, Daniel Satterthwaite, Theodore D. Tan, Yunlong Sim, Kang Piras, Fabrizio Spalletta, Gianfranco Banaj, Nerisa Pomarol-Clotet, Edith Solanes, Aleix Albajes Eizagirre, Anton Canales Rodríguez, Erick Jorge Sarró, Salvador Di Giorgio, Annabella Bertolino, Alessandro Stäblein, Michael Oertel, Viola Knöchel, Christian Borgwardt, Stefan du Plessis, Stefan Yun, Je-Yeon Kwon, Jun Soo Dannlowski, Udo Hahn, Tim Grotegerd, Dominik Alloza, Clara Arango López, Celso Janssen, Joost Díaz Caneja, Covadonga M. Jiang, Wenhao Calhoun, Vince Ehrlich, Stefan Yang, Kun Cascella, Nicola G. Takayanagi, Yoichiro Sawa, Akira Tomyshev, Alexander Lebedeva, Irina Kaleda, Vasily Kirschner, Matthias Hoschl, Cyril Tomecek, David Skoch, Antonin van Amelsvoort, Therese Bakker, Geor James, Anthony Preda, Adrian Weideman, Andrea Stein, Dan J. Howells, Fleur Uhlmann, Anne Temmingh, Henk López Jaramillo, Carlos Díaz Zuluaga, Ana M. Fortea, Laura Martínez Heras, Eloy Solana Díaz, Elisabeth Llufriu Duran, Sara ENIGMA Consortium ENIGMA Consortium collaborators |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Diagnòstic per la imatge Cervell Esquizofrènia Diagnostic imaging Brain Schizophrenia |
| topic |
Diagnòstic per la imatge Cervell Esquizofrènia Diagnostic imaging Brain Schizophrenia |
| description |
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium combines neuroimaging data from many institutions worldwide. However, this introduces heterogeneity due to different scanning devices and sequences. ENIGMA projects commonly address this heterogeneity with random-effects meta-analysis or mixed-effects mega-analysis. Here we tested whether the batch adjustment method, ComBat, can further reduce site-related heterogeneity and thus increase statistical power. We conducted random-effects meta-analyses, mixed-effects mega-analyses and ComBat mega-analyses to compare cortical thickness, surface area and subcortical volumes between 2897 individuals with a diagnosis of schizophrenia and 3141 healthy controls from 33 sites. Specifically, we compared the imaging data between individuals with schizophrenia and healthy controls, covarying for age and sex. The use of ComBat substantially increased the statistical significance of the findings as compared to random-effects meta-analyses. The findings were more similar when comparing ComBat with mixed-effects mega-analysis, although ComBat still slightly increased the statistical significance. ComBat also showed increased statistical power when we repeated the analyses with fewer sites. Results were nearly identical when we applied the ComBat harmonization separately for cortical thickness, cortical surface area and subcortical volumes. Therefore, we recommend applying the ComBat function to attenuate potential effects of site in ENIGMA projects and other multi-site structural imaging work. We provide easy-to-use functions in R that work even if imaging data are partially missing in some brain regions, and they can be trained with one data set and then applied to another (a requirement for some analyses such as machine learning). |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2445/219930 |
| url |
https://hdl.handle.net/2445/219930 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Reproducció del document publicat a: https://doi.org/10.1016/j.neuroimage.2020.116956 Neuroimage, 2020, vol. 218 https://doi.org/10.1016/j.neuroimage.2020.116956 |
| dc.rights.none.fl_str_mv |
cc-by-nc-nd (c) Radua, J. et al., 2020 http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
cc-by-nc-nd (c) Radua, J. et al., 2020 http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier B.V. |
| publisher.none.fl_str_mv |
Elsevier B.V. |
| dc.source.none.fl_str_mv |
Articles publicats en revistes (Medicina) reponame:Dipòsit Digital de la UB instname:Universidad de Barcelona |
| instname_str |
Universidad de Barcelona |
| reponame_str |
Dipòsit Digital de la UB |
| collection |
Dipòsit Digital de la UB |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869417569793867776 |
| score |
15,812429 |