TABLE 7.

Comparison of various DFC approaches based on dynamic graph-theoretical analysis.

	Dimitriadis et al.	Tagliazucchi et al.	Yu et al.	Racz et al.
Modality	EEG	fMRI	fMRI	EEG
Node definition	Recording sites	AAL-defined brain regions	Intrinsic connectivity networks	Recording sites
Number of nodes	N = 30	N = 90	N = 48	N = 19
Window length	Adaptive to frequency range	60TRs (≈2 min)	20 TRs (40 s)	Adaptive to frequency range
Connectivity estimator	Phase-Locking Index	Pearson cross-correlation	Similarity index	Synchronization Likelihood, Phase Lag Index
Thresholding	Algorithmic identification of most significant edges	Cost thresholding at K = 0.1	No thresholding	Cost thresholding with K ranging from 0.15 to 0.5
Network measures	Global efficiency, local efficiency, small-worldness	Clustering coefficient, average path length, betweenness, small-worldness	Connectivity strength, clustering coefficient, global efficiency	Connectivity strength, clustering coefficient, global efficiency
Analysis	Mean Identification of consistent hubs by using the technique of replicator dynamics	Standard deviation Correlations of time-varying graph measures with dynamic frontal-, central- and occipital band-limited power	Variance Identification of reoccurring connectivity states	Mean, variance, EfM Scale-free (multifractal) analysis Temporal complexity (information content)

EEG, electroencephalography; fMRI, functional magnetic resonance imaging; N, number of nodes; K, cost; EfM, excursions from median.