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Table 1. 

Summary Statistics of Modular Decompositions

RestSyllableSpeech
Empirical networks 
Qz 53.5 32.8 47.2 
pd(F0, Fk0.35 ± 0.03 0.39 ± 0.03 0.4 ± 0.04 
Artificial networks 
Qz 59.0 27.1 51.5 
pd(G0, Gk0.36 ± 0.03 0.4 ± 0.03 0.4 ± 0.04 
pd(G0, G0\k0.01 ± 0.02 0.05 ± 0.04 0.07 ± 0.04 
RestSyllableSpeech
Empirical networks 
Qz 53.5 32.8 47.2 
pd(F0, Fk0.35 ± 0.03 0.39 ± 0.03 0.4 ± 0.04 
Artificial networks 
Qz 59.0 27.1 51.5 
pd(G0, Gk0.36 ± 0.03 0.4 ± 0.03 0.4 ± 0.04 
pd(G0, G0\k0.01 ± 0.02 0.05 ± 0.04 0.07 ± 0.04 

Calculated Q modularity z scores and within-group partition distances between per-subject networks/leave-one-out samples and the respective group-averaged reference graphs in empirical and artificial network cohorts across the resting state, syllable production, and speaking.

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