This repository contains code for the paper: A Method for Multimodal IVA Fusion Within a MISA Unified Model Reveals Markers of Age, Sex, Cognition, and Schizophrenia in Large Neuroimaging Studies
Note that you would need to clone MISA repository under MMIVA folder.
git clone https://github.com/trendscenter/MMIVA.git
cd MMIVA
git clone https://github.com/rsilva8/MISA.git
runStats_UKB_MIVA2step_wICApre_preregSite_C030_N2907.m
GICA initialization: runMMIVA_allHCSZ.m, runMMIVA_allHCSZ_preregSite.m
UKB initialization: runMMIVA_allHCSZ_w_init.m, runMMIVA_allHCSZ_w_initUKB2907_preregSite.m
GICA initialization: runStats_HCSZ_preregSite_C030_gicainit.m
UKB initialization: runStats_HCSZ_preregSite_C030_ukbinit.m
If you find this repository useful, please cite the following paper:
@article{https://doi.org/10.1002/hbm.70037,
author = {Silva, Rogers F. and Damaraju, Eswar and Li, Xinhui and Kochunov, Peter and Ford, Judith M. and Mathalon, Daniel H. and Turner, Jessica A. and van Erp, Theo G. M. and Adali, Tulay and Calhoun, Vince D.},
title = {A Method for Multimodal IVA Fusion Within a MISA Unified Model Reveals Markers of Age, Sex, Cognition, and Schizophrenia in Large Neuroimaging Studies},
journal = {Human Brain Mapping},
volume = {45},
number = {17},
pages = {e70037},
doi = {https://doi.org/10.1002/hbm.70037},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.70037},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.70037},
year = {2024}
}