Introduction

This repository contains the python code needed to reproduce the paper Connectome-Mediated Prediction of Future Tau-PET Burden in Alzheimer’s Disease.

Installation

All the python requirements can be installed via:

$ conda env create --name brain --file=brain.yml
$ conda activate brain
$ jupyter-lab /notebooks

You might also need Cortography from the Raj Lab.

Notebooks

1.Load_and_save_data.ipynb

- Loads the data and save useful pickle files.

2.NDM_model.ipynb

- Runs NDM model to predict Δτ over time

3. Linear

- Runs linear model to predict  Δτ

4. Constant

- Runs constant model to predict Δτ

5. Other_plots

- Creates R2 plots

Questions

For questions about this repository, contact prof. Ashish Raj at ashish dot raj @ ucsf.edu or PabloDamasceno at pm.me