Table 1 Network metrics

	Critical (μ ± SE)	Language error (μ ± SE)	Speech arrest (μ ± SE)	Non-critical (μ ± SE)	Critical vs. non-critical (p)	Language error vs. non-critical (p)	Speech arrest vs. non-critical (p)	Language error vs. speech arrest (p)
Participation Coefficient	0.24 ± 0.08	0.47 ± 0.09	−0.09 ± 0.14	−0.03 ± 0.03	0.004	<0.001	0.38	0.002*
Strength	0.06 ± 0.07	0.04 ± 0.09	0.16 ± 0.10	−0.01 ± 0.03	0.28	0.38	0.17	0.27
Clustering Coefficient	−0.17 ± 0.09	−0.20 ± 0.12	−0.16 ± 0.14	0.02 ± 0.03	0.02	0.03	0.15	0.42
Local Efficiency	−0.28 ± 0.07	−0.27 ± 0.09	−0.30 ± 0.12	0.04 ± 0.03	0.001	0.006	0.02	0.43
Eigenvector Centrality	−0.27 ± 0.07	−0.28 ± 0.08	−0.28 ± 0.12	0.04 ± 0.03	0.001	0.006	0.02	0.47

Summary of z-scored pooled network metric values and FDR-corrected p values. The two-sample t-test with two-sided confidence intervals, along with Storey’s FDR correction, was applied. There were 150 critical nodes, 92 language error nodes, 52 speech arrest nodes, and 1084 non-critical nodes. One participant with 6 critical nodes did not have sufficient information to adjudicate those nodes into language error vs. speech arrest nodes. Corresponding degrees of freedom were 1232 for critical vs. non-critical, 1174 for LE vs. non-critical, 1134 for SA vs. non-critical, and 142 for LE vs. SA comparisons. For critical and non-critical nodes, the number of participants was 16; for language error and speech arrest nodes, the number of participants was 15. P values for metrics that were statistically significantly different are highlighted in bold.

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