Code for the preprint: Brain functional network connectivity interpolation characterizes neuropsychiatric continuum and heterogeneity (under review)
- Clone the repository
git clone https://github.com/XinhuiLi/interpolation.git
cd interpolation
- Create a conda environment
conda create --name interp python=3.12
conda activate interp
- Install the required packages
pip install -r requirements.txt
FBIRN data: interp_sfnc_sz.ipynb
ABIDE I data: interp_sfnc_asd.ipynb
FBIRN data: interp_dfnc_sz.ipynb
ABIDE I data: interp_dfnc_asd.ipynb
Figure 2: plot_comparison.ipynb
Figure 3: interp_sfnc_sz.ipynb
Figure 4: interp_sfnc_asd.ipynb
Figure 5: plot_subject_measure.ipynb
Figure 6: plot_correlation.ipynb
Figure 7: interp_dfnc_sz.ipynb
Figure 8: interp_dfnc_asd.ipynb
Figure 9: plot_dynamic_metrics.ipynb
Figure 10: plot_sfnc_latent_space.ipynb
Figure 11: plot_dfnc_latent_space.ipynb
Figure 12: plot_dfnc_latent_space.ipynb
Figure A.1: plot_subject_measure.ipynb
Figure E.1a: plot_hypopt_sfnc_vae.ipynb
Figure E.1b: plot_hypopt_dfnc_vae.ipynb
Figure E.2: plot_hypopt_sfnc_ivae.ipynb
Figure G.1: plot_mse.ipynb
Figure H.1: plot_kmeans.ipynb
We thank the authors of identifiable variational autoencoders for making the code publicly available.
If you find this repository useful, please cite the following paper:
@article{li2024brain,
author = {Li, Xinhui and Geenjaar, Eloy and Fu, Zening and Pearlson, Godfrey and Calhoun, Vince},
title = {Brain functional network connectivity interpolation characterizes neuropsychiatric continuum and heterogeneity},
elocation-id = {2024.11.13.623318},
year = {2024},
doi = {10.1101/2024.11.13.623318},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2024/11/14/2024.11.13.623318},
eprint = {https://www.biorxiv.org/content/early/2024/11/14/2024.11.13.623318.full.pdf},
journal = {bioRxiv}
}