Supplementary Materials *Updated 19 June 2020

Contents:

1. Reproduction of switching map with networks color-coded

2. Visualization of switching ROIs

3. Number of ROIs switching between specific network pairs

4. Graphs of network connectivity measures by number of networks per region

1. Reproduction of the map of the number of regions that change assignment between networks across resolution with networks color coded. Color coding follows the original scheme described by Yeo and colleagues (2011), also reproduced here. 100-parcel topographic map provided for reference.

Color	Yeo et al (2011) Network Label
	Somatomotor Network
	Salience/Ventral Attention Network
	Dorsal Attention Network
	Default Mode Network
	Control Network
	Limbic Network
	Visual Network

2. Video showing ROIs that switch network membership across parcellation resolutions, sagittal view. Video starts at the leftmost slice.

3. Number of ROIs that switch between specific network pairs:

Network 1	Network 2	ROIs
Control	Default Mode	23
Control	Salience/Ventral Attention	14
Control	Dorsal Attention	11
Dorsal Attention	Somatomotor	10
Salience/Ventral Attention	Somatomotor	9
Default Mode	Limbic	9
Default Mode	Salience/Ventral Attention	7
Default Mode	Dorsal Attention	7
Dorsal Attention	Visual	7
Default Mode	Visual	4
Dorsal Attention	Salience/Ventral Attention	4
Limbic	Visual	3
Dorsal Attention	Limbic	3
Control	Limbic	2
Default Mode	Somatomotor	1
Control	Visual	1

Remaining pairs did not have any ROIs switch between them.

4. Graphs of average participation coefficient and within-module degree for regions assigned to one, two, three, and four networks across parcellation resolutions. Participation coefficient indexes the distribution of connections a given region shares with networks outside of its own; within-module degree indexes the strength of its connection within its own network. Statistics were run for network counts between 1 and 3, as only one region was assigned to 4 networks.

Participation Coefficient

Participation coefficient significantly increased from regions in one network to those in multiple networks (p_1,2 & p_1,3 < .001). This suggests that regions that were assigned to different networks across resolutions have stronger connections to more than one network than those that were consistently assigned to one network.

Within-Module Degree

Within-module degree significantly decreased from regions in one network to those in multiple networks (p_1,2 = .005; p_1,3 = .012). This suggests that regions that were assigned to different networks across resolutions are more weakly connected to their assigned network than those that were consistently assigned to one network.