Skip to content

twardlab/joint_graph_embedding_AD

Repository files navigation

structural_connectivity_AD

Repository for studying correlations between neuraldegeneration volume over time in patients with mild Alzheimer's vs. severe. The published paper can be found here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406695/

dataset: first agree to the user agreement by Alzheimer's Disease Neuroimaging Initiative: ADNI and download the ADNI1 3Y1.5T Longitudinal FreeSurfer dataset by University of California, San Francisco from the website. Make sure the files UCSFFSL_02_01_16.csv, UCSFFSL_DICT_11_01_13.csv and the subject CDR ratings in CDR.csv are in a directory named dataset in the working directory with the notebooks.

preprocess: notebook on preprocessing data dataset. If input data has the same format as our example, can also preprocess into input format

pipeline_functions: joint graph embedding algorithm and f-type statistics analysis functions with and without confounder regression, and helper functions

joint_graph_embedding_analysis: notebook on running the algorithm and analysis

requirements.txt: requirement packages and versions

For running on the example dataset, first run preprocess notebook, then run joint_graph_embedding_analysis.

documentation generated with sphinx software (https://www.sphinx-doc.org/en/master/), code documentation can be found in docs/build/html/index.html

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors