Table 1. Causal network interactions predict behavior differently in children and adults.

	Reaction time				Accuracy
	Predictive causal connections	R2	Mean square error	p	Predictive causal connections	R2	Mean square error	p
Children	rAI→rDLPFC	0.50	0.75	<0.01	rAI→rACC	0.43	0.83	<0.01
	rAI→rACC				rAI→rPPC
	rAI→rPPC				rAI→rVLPFC
Adults	rAI→rPPC	0.66	0.54	<0.01	rAI→rACC	0.47	0.76	<0.01
	rAI→rVLPFC				rAI→rPPC

Relationship between cumulative directed causal influences between nodes of the salience and central executive networks and behavior assessed using a multivariate GLMnet model. rAI = right Anterior Insula, ACC = Anterior Cingular Cortex, rVLPFC = right Ventrolateral Prefrontal Cortex, rDLPFC = right Dorsolateral Prefrontal Cortex, rPPC = right Posterior Parietal Cortex. Analysis of GLMnet model fits revealed that causal network interactions better predicted reaction times and accuracy in adults than in children.

Note: Connections ordered in decreasing order of importance.