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RGLCG

Relating Global and Local Connectome Changes to Dementia and Targeted Gene Expressions in Alzheimer’s Disease

This repo comprises the code for the manuscript:

  • Elsheikh SSM, Chimusa ER, Alzheimer's Disease Neuroimaging Initiative, Mulder NJ and Crimi A (2021) Relating Global and Local Connectome Changes to Dementia and Targeted Gene Expression in Alzheimer's Disease. Front. Hum. Neurosci. 15:761424. doi: 10.3389/fnhum.2021.761424

For a brief summary of the paper, check out this video

This work uses data from the Alzheimer's Disease Neuroimaging Initiative publicly available

The image data are processed accoding to the pipeline reported in the script pre_process.sh Tractography, connectome creation and feature extraction is given in the scripts compute_conn_CSA.py, tracking_conn_ACT.py, metrics.py and metrics.py. Those scripts are inside the folder Scripts.

The main bioinformatics analyis is in the scipt analysis.py

image

Download the Data

The data extracted from MRI volumes needed in this analysis are accessable in the Data folder Those are the resulting connectomes, and the features. While the neuroimaging scripts are inside this folder