TABLE 1.

Maximum Correlations Between Intrinsic Connectivity Network (ICN) Templates and independent component analysis (ICA) Spatial Maps by Model Order.

ICA model order (K):	DMN	DAN	FPCN	Limbic	SMN	VAN	Visual
2	0.08	0.37**	0.48**	−0.08	0.12	0.15*	0.47**
3	0.42**	0.41**	0.47**	0	−0.09	0.17*	0.74**
4	0.47**	0.41**	0.47**	−0.02	0.56**	0.17*	0.76**
5	0.53**	0.36**	0.5**	−0.03	0.62**	0.16*	0.72**
6	0.52**	0.55**	0.44**	−0.02	0.62**	0.25**	0.5**
7	0.4**	0.53**	0.41**	0	0.65**	0.3**	0.54**
8	0.42**	0.54**	0.43**	0	0.66**	0.45**	0.5**
9	0.45**	0.47**	0.36**	0.03	0.66**	0.47**	0.43**
10	0.47**	0.43**	0.35**	0.02	0.37**	0.41**	0.43**

All spatial maps from a given ICA model were correlated with a set of seven ICN templates (Yeo et al., 2011), including the Default Mode Network (DMN), Dorsal Attention Network (DAN), Frontoparietal Control Network (FPCN), Limbic Network, Somatomotor Network (SMN), Ventral Attention Network (VAN), and Visual Network. For each ICN, the maximum correlation is displayed for each ICA_K. Different ICA_K show a different set of ICNs, and a sudden increase of the maximum correlation for an ICN template indicates the appearance of that network within the ICA model. FWE, Family-Wise Error. *p < 0.001, FWE-corrected. **p < 10^–5, FWE-corrected.