This repository stores code and analyses for the preprint entitled

Signatures of pubertal brain development and health revealed through domain adapted brain network fusion

Before running the code, please make sure to set up a new conda environment first:

• conda create --name <env> python=3.7.11
• conda activate <env>
• pip install -r requirements.txt

Make sure to activate env for all analyses within this repo: conda activate <env>

• main_abcd.py and main_hbn.py are the backbone of the analyes, performing all steps from data loading to machine learning with domain adaptation
• the remaining .py files store functions used in main_abcd.py and main_hbn.py
• association analyses with pubertal and mental health measures were performed in the ABCD_*.ipynb and HBN_*.ipynb files.
• Xemb.ipynb contains code that calculates feature - embedding correlations for brain map vizualisations and spin permutation testing
• *.R uses output from Xemb.ipynb and generates brain maps for Suppl. Materials (ggseg 1.6.5 running in R 4.2.3)