The exploratory value of cross-sectional partial correlation networks: Predicting relationships between change trajectories in borderline personality disorder.

By confirming its implication, our results support the idea that cross-sectional partial correlation networks hold a relevant amount of information about systematic within-subjects relationships and thereby have exploratory value to generate hypotheses about the causal dynamics between symptoms.