Table 6.

Clustering of embedded individual participant networks across tasks.

	Within/Between	Std Dev	p-value
	t-SNE with 99% of the variance
2-Back vs. Rest	0.1738	0.0027	<0.0001
1-Back vs. Rest	0.1897	0.0032	<0.0001
2-Back vs. 1-Back	0.1835	0.0022	<0.0001
	PCA with top 2 components
2-Back vs. Rest	0.2371	-	<0.0001
1-Back vs. Rest	0.2862	-	<0.0001
2-Back vs. 1-Back	0.2234	-	<0.0001
	t-SNE with top 2 components
2-Back vs. Rest	0.2386	<0.0001	<0.0001
1-Back vs. Rest	0.2962	0.0004	<0.0001
2-Back vs. 1-Back	0.2217	<0.0001	<0.0001

The ratio of the embedding distance within participants vs. the embedding distance between participants. For the t-SNE embedding, each measure is an average of over 50 unique replications. For PCA there is only one possible embedding so there is no variance associated with the measures. Significant clustering was identified using P-values that were determined for each embedding using a permutation test. The average p-values over the 50 embedding replications are shown for t-SNE.