Kavli Affiliate: Anders Dale and Lisa T. Eyler
| Authors: Yanghee Im, Leila Nabulsi, Melody J.Y. Kang, Sophia I. Thomopoulos, Ana M. Diaz Zuluaga, Anders M. Dale, Andriana Karuk, Annabella Di Giorgio, Benson Mwangi, Boris Gutman, Bronwyn Overs, Carlos Lopez Jaramillo, Colm McDonald, Dan Stein, Dara M. Cannon, David Glahn, Diego Hidalgo-Mazzei, Diliana Pecheva, Dominik Grotegerd, Edith Pomarol-Clotet, Eduard Vieta, Emilie Olie, Enric Vilajosana Cherto, Fabio Sambataro, Fleur Howells, Freda Scheffler, Geraldo Busatto, Gerard Anmella, Giovana B. Zunta-Soares, Gloria Roberts, Henk Temmingh, Ian Gotlib, Ingrid Agartz, Jair C. Soares, James A. Karantonis, James Prisciandaro, Janice M. Fullerton, Joaquim Radua, Jonathan Savitz, Josselin Houenou, Kang Sim, Kenichiro Harada, Klaus Berger, Koji Matsuo, Lakshmi Yatham, Lars TjeltaWest-lye, Lisa Eyler, Lisa Furlong, Luisa Klahn, Marco Hermesdorf, Marcus V. Zanetti, Matthew Kempton, Matthew Sacchet, Mikael Landen, Mon-Ju Wu, Pedro Rosa, Philip Mitchell, Pravesh Parekh, Raymond Salvador, Rayus Kuplicki, Salvador Sarro, Susan Rossell, Tamsyn Van VanRheenen, Theo-dore Satterthwaite, Tilo Kircher, Tomas Hajek, Udo Dannlowski, Xavier Caseras, Yuji Zhao, Ole A. Andreassen, Paul M. Thompson, Christopher R.K. Ching and for the ENIGMA Bipolar Disorder Working Group
| Summary:
3D surface-based computational mapping is more sensitive to localized brain alterations in neurological, developmental and psychiatric conditions than traditional gross volumetric analysis, providing fine-scale 3D maps of a wide range of surface-based features. Here we introduce a scalable toolkit for large-scale computational surface analysis, with efficient algorithms for multisite data integration, statistical harmonization, accelerated multivari-ate statistics, and visualization. We showcase the utility of the toolkit by mapping subcortical shape variations and factors that affect them across 21 international samples from the ENIGMA Bipolar Disorder Working Group (N=3,373).