Multimodal Independent Vector Analysis

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

UK Biobank Data

MMIVA

runMMIVA_C030_regSite_N2907.m

MANCOVA

runStats_UKB_MIVA2step_wICApre_preregSite_C030_N2907.m

Patient Data

MMIVA

GICA initialization: runMMIVA_allHCSZ.m, runMMIVA_allHCSZ_preregSite.m

UKB initialization: runMMIVA_allHCSZ_w_init.m, runMMIVA_allHCSZ_w_initUKB2907_preregSite.m

MANCOVA

GICA initialization: runStats_HCSZ_preregSite_C030_gicainit.m

UKB initialization: runStats_HCSZ_preregSite_C030_ukbinit.m

Reference

If you find this repository useful, please cite the following paper:

@article{silva2021direct,
  title={Direct linkage detection with multimodal IVA fusion reveals markers of age, sex, cognition, and schizophrenia in large neuroimaging studies},
  author={Silva, Rogers F and Damaraju, Eswar and Li, Xinhui and Kochunov, Peter and Belger, Aysenil and Ford, Judith M and Mathalon, Daniel H and Mueller, Bryon A and Potkin, Steven G and Preda, Adrian and others},
  journal={bioRxiv},
  pages={2021--12},
  year={2021},
  publisher={Cold Spring Harbor Laboratory}
}