Table 5:

Key related review papers in the field

Multi-subject Independent Component Analysis of fMRI: A Decade of Intrinsic Networks, Default Mode, and Neurodiagnostic Discovery (Calhoun et al. 2009)[163] A focused review of group ICA discussing methodologies, discovery of RSNs and their diagnostic potential

Imaging-based parcellations of the human brain (Eickhoff et al.,2018)[164] A detailed exploration into approaches for deriving imaging based parcellations and lurking challenges in the field

Dynamic functional connectivity: Promise, issues, and interpretations (Hutchison et al.,2013)[165] An early review on findings, methods and interpretations of dynamical fuctional connectivity

The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery (Calhoun et al.,2014) [166] A detailed review of methods for dynamic functional connectivity analysis with a focus on decomposition techniques

The dynamic functional connectome: State-of-the-art and perspectives (Preti et al.,2017)[167] A comprehensive review of analytical approaches for dynamic functional connectivity analysis and future perspectives

On the nature of resting fMRI and time-varying functional connectivity (Lurie et al.,2018)[168] A discussion of diverse perspectives on time-varying connectivity in rs-fMRI

Clinical Applications of Resting State Functional Connectivity (Fox et al.,2010)[169] An early short review focused on clinical applications of rs-fMRI

Single Subject Prediction of Brain Disorders in Neuroimaging: Promises and Pitfalls (Arbabshirani et al. 2017)[170] Extensive survey of studies on single subject prediction of brain disorders, including opinions on promises/limitations