A scalable toolkit for modeling 3D surface-based brain geometry

Im, Yanghee, Nabulsi, Leila, Kang, Melody J. Y., Thomopoulos, Sophia I., Zuluaga, Ana M. Diaz, Dale, Anders M., Karuk, Andriana, Di Giorgio, Annabella, Mwangi, Benson, Gutman, Boris, Overs, Bronwyn, Jaramillo, Carlos López, McDonald, Colm, Stein, Dan J., Cannon, Dara M., Glahn, David, Hidalgo-Mazzei, Diego, Pecheva, Diliana, Grotegerd, Dominik, Pomarol-Clotet, Edith, Vieta, Eduard, Olie, Emilie, Chertó, Enric Vilajosana, Sambataro, Fabio, Howells, Fleur, Scheffler, Freda, Busatto, Geraldo, Anmella, Gerard, Zunta-Soares, Giovana B., Roberts, Gloria, Temmingh, Henk, Gotlib, Ian, Agartz, Ingrid, Soares, Jair C., Karantonis, James A., Prisciandaro, James, Fullerton, Janice M., Radua, Joaquim, Savitz, Jonathan, Houenou, Josselin, Sim, Kang, Harada, Kenichiro, Berger, Klaus, Matsuo, Koji, Yatham, Lakshmi, Westlye, Lars Tjelta, Eyler, Lisa, Furlong, Lisa, Klahn, Luisa, Hermesdorf, Marco, Zanetti, Marcus V., Kempton, Matthew, Sacchet, Matthew, Landen, Mikael, Wu, Mon-Ju, Rosa, Pedro, Mitchell, Philip, Parekh, Pravesh, Salvador, Raymond, Kuplicki, Rayus, Sarró, Salvador, Rossell, Susan, Van Rheenen, Tamsyn, Satterthwaite, Theodore, Kircher, Tilo, Hajek, Tomas, Dannlowski, Udo, Caseras, Xavier ORCID: https://orcid.org/0000-0002-8490-6891, Zhao, Yuji, Andreassen, Ole A., Thompson, Paul M. and Ching, Christopher R. K. 2025. A scalable toolkit for modeling 3D surface-based brain geometry. Presented at: International Workshop on Shape in Medical Imaging, Daejeon, Democratic People's Republic of Korea, 23-23 September 2025. Published in: Wachinger, Christian, Luijten, Gijs, Elhabian, Shireen, Gopinath, Karthik and Egger, Jan eds. Proceedings of the International Workshop on Shape in Medical Imaging. Lecture Notes in Computer Science Springer Nature Switzerland, pp. 232-246. 10.1007/978-3-032-06774-6_18

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Abstract

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 multivariate 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).

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Medicine
Publisher:	Springer Nature Switzerland
ISBN:	9783032067739
ISSN:	0302-9743
Last Modified:	30 Oct 2025 15:17
URI:	https://orca.cardiff.ac.uk/id/eprint/182016

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