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Table 1. 
Summary of Internal and External Performance of WM, gF, and Attention CPMs
Analysis #Training Behavior, Training DataControlled CovariateTest Behavior, Test DataModel Performance Validation TypeData Type
2-Back accuracy, Task   2-Back accuracy, Task r = .36, p = 1/1001 * 10-Fold cross-validation Internal data 
    SMC composite memory, Rest r = .37, p = 1/1001 * External validation External data, different behavior 
    PMAT score, Task r = .28, p = 1/1001 * 10-Fold cross-validation Internal data, different behavior 
    SCPT d′, Task r = .09, p = 7.19E−2   10-Fold cross-validation Internal data, different behavior 
  
2-back accuracy, Task gF** 2-Back accuracy, Task r = .33, p = 1/1001 * 10-Fold cross-validation Internal data 
  
2-back accuracy, Rest   2-Back accuracy, Rest r = .20, p = 1/1001 * 10-Fold cross-validation Internal data 
    SMC composite memory, Rest r = .30, p = 1/1001 * External validation External data, different behavior 
    PMAT score, Rest r = .13, p = 2.00E−3 * 10-Fold cross-validation Internal data, different behavior 
    SCPT d′, Rest r = .06, p = 6.29E−2   10-Fold cross-validation Internal data, different behavior 
  
10 2-back accuracy, Rest gF** 2-Back accuracy, Rest r = .17, p = 2.00E−3 * 10-Fold cross-validation Internal data 
  
11 PMAT score, Task   PMAT score, Task r = .33, p = 1/1001 * 10-Fold cross-validation Internal data 
12     SMC composite memory, Rest r = .30, p = 1/1001 * External validation External data, different behavior 
13     2-Back accuracy, Task r = .34, p = 2.00E−3 * 10-Fold cross-validation Internal data, different behavior 
  
14 PMAT score, Rest   PMAT score, Rest r = .12, p = 1.70E−2   10-Fold cross-validation Internal data 
15     SMC composite memory, Rest r = .36, p = 1/1001 * External validation External data, different behavior 
16     2-Back accuracy, Rest r = .13, p = 2.70E−2   10-Fold cross-validation Internal data, different behavior 
  
17 SCPT d′, Task   SCPT d′, Task r = .14, p = 5.00E−3 * 10-Fold cross-validation Internal data 
18     2-Back accuracy, Task r = .16, p = 6.39E−2   10-Fold cross-validation Internal data, different behavior 
  
19 SCPT d′, Rest   SCPT d′, Rest r = −5.7E−3, p = 0.533   10-Fold cross-validation Internal data 
20     2-Back accuracy, Rest r = .11, p = 5.59E−2   10-Fold cross-validation Internal data, different behavior 
Analysis #Training Behavior, Training DataControlled CovariateTest Behavior, Test DataModel Performance Validation TypeData Type
2-Back accuracy, Task   2-Back accuracy, Task r = .36, p = 1/1001 * 10-Fold cross-validation Internal data 
    SMC composite memory, Rest r = .37, p = 1/1001 * External validation External data, different behavior 
    PMAT score, Task r = .28, p = 1/1001 * 10-Fold cross-validation Internal data, different behavior 
    SCPT d′, Task r = .09, p = 7.19E−2   10-Fold cross-validation Internal data, different behavior 
  
2-back accuracy, Task gF** 2-Back accuracy, Task r = .33, p = 1/1001 * 10-Fold cross-validation Internal data 
  
2-back accuracy, Rest   2-Back accuracy, Rest r = .20, p = 1/1001 * 10-Fold cross-validation Internal data 
    SMC composite memory, Rest r = .30, p = 1/1001 * External validation External data, different behavior 
    PMAT score, Rest r = .13, p = 2.00E−3 * 10-Fold cross-validation Internal data, different behavior 
    SCPT d′, Rest r = .06, p = 6.29E−2   10-Fold cross-validation Internal data, different behavior 
  
10 2-back accuracy, Rest gF** 2-Back accuracy, Rest r = .17, p = 2.00E−3 * 10-Fold cross-validation Internal data 
  
11 PMAT score, Task   PMAT score, Task r = .33, p = 1/1001 * 10-Fold cross-validation Internal data 
12     SMC composite memory, Rest r = .30, p = 1/1001 * External validation External data, different behavior 
13     2-Back accuracy, Task r = .34, p = 2.00E−3 * 10-Fold cross-validation Internal data, different behavior 
  
14 PMAT score, Rest   PMAT score, Rest r = .12, p = 1.70E−2   10-Fold cross-validation Internal data 
15     SMC composite memory, Rest r = .36, p = 1/1001 * External validation External data, different behavior 
16     2-Back accuracy, Rest r = .13, p = 2.70E−2   10-Fold cross-validation Internal data, different behavior 
  
17 SCPT d′, Task   SCPT d′, Task r = .14, p = 5.00E−3 * 10-Fold cross-validation Internal data 
18     2-Back accuracy, Task r = .16, p = 6.39E−2   10-Fold cross-validation Internal data, different behavior 
  
19 SCPT d′, Rest   SCPT d′, Rest r = −5.7E−3, p = 0.533   10-Fold cross-validation Internal data 
20     2-Back accuracy, Rest r = .11, p = 5.59E−2   10-Fold cross-validation Internal data, different behavior 

Correction for multiple comparison: Analyses 1–4, 6–9: alpha = .0125; Analyses 5 and 10: alpha = .05; Analyses 11–13, 14–16: alpha = .016; Analyses 17–18, 19–20: alpha = .025. WM CPMs strongly predict HCP 2-back accuracy, HCP PMAT, and memory performance in the SMC data set. WM CPMs built while controlling for gF at edge selection continue to strongly predict HCP 2-back accuracy. GF CPMs strongly predict HCP PMAT score, HCP 2-back accuracy, and SMC memory performance. When trained on n-back task data, but not rest data, attention CPMs predict HCP SCPT d′. p values are derived from 1000 permutations of true and null models. Task data are HCP n-back task fMRI data.

*

Significant with p < .05, Bonferroni-corrected for multiple comparisons within models defined by training behavior and data (Analyses 1–4, 6–9, 11–13, 14–16, 17–18, 19–20).

**

Additional controlling for gF at edge selection in model construction.

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