Code for calculating static functional connectivity from resting-state fMRI data, statistically thresholding the connections using surrogate timeseries data, and finally calculating graph measures.
Exactly as described in:
Simos NJ, Dimitriadis SI, Kavroulakis E, Manikis GC, Bertsias G, Simos P, Maris TG, Papadaki E. Quantitative Identification of Functional Connectivity Disturbances in Neuropsychiatric Lupus Based on Resting-State fMRI: A Robust Machine Learning Approach. Brain Sciences. 2020; 10(11):777. https://doi.org/10.3390/brainsci10110777
To run the analysis, load data in the appropriate form and run the main controller code in: pcc_surFilt_AAL.m