Chunk #10 — Resting State Functional Connectivity MRI Signal, Brain Networks, and Common Analysis Techniques — Independent and Principal Components Analysis
Though none of the studies reviewed here have defined relationships with independent or principal component analyses (ICA/PCA), these methods are relatively popular tools for identifying “resting state networks” (Damoiseaux et al. 2006; Bullmore and Sporns 2009). These approaches employ dimensionality reduction techniques to partition voxels into groups with shared covariance. Nodes are not defined, nor are edges, and such methods do not utilize or produce networks in either an intuitive or graph-theoretic sense, though they are often labeled as networks. Such analyses are not addressed in this review.
