This MATLAB file implements the distance correlation metric, where I introduced it as a multiplex functional connectivity metric that quantifies the multiplex coupling strength between a pair of frequency-dependent time series that correspond to the brain activity of two brain areas (ROIs).
I first applied this multiplex index in an intervention study analyzing resting-state fMRI [1]. In a second study, I focused on the analysis of EEG signals on both sensor, and source level from resting-state recordings derived from two open datasets of healthy controls, and SCZ/SSD [2].
References: [1] Dimitriadis, S.I., Castells-Sánchez, A., Roig-Coll, F. et al. Intrinsic functional brain connectivity changes following aerobic exercise, computerized cognitive training, and their combination in physically inactive healthy late-middle-aged adults: the Projecte Moviment. GeroScience 46, 573–596 (2024). https://doi.org/10.1007/s11357-023-00946-8
[2] Dimitriadis SI. ℛSch: A Riemannian Schizophrenia Diagnosis Framework based on the Multiplexity of EEG-based Dynamic Functional Connectivity Patterns. Computers in Biology and Medicine.Volume 180, September 2024, 108862. https://doi.org/10.1016/j.compbiomed.2024.108862