Kendall's tau(b) rank correlations between PC and performance accuracy of Stroop task in the incongruent condition.

Correlations were carried out separately for anyA9 and A10/A10 allele carriers in the entire sample. Effects of age were removed from variables prior to the analyses. The correlation was only significant in the anyA9 group. Abbreviations: K, average node-degree; PC, participation coefficient.</p

Cortical networks.

Maps with the a-priori assignment of the 200 nodes to partitions of seven networks (from Yeo et al. [50]).</p

Kendall's tau(b) rank correlations between PC and Raven's matrices scores.

Correlations were carried out separately for anyA9 and A10/A10 allele carriers in the entire sample. Effects of age were removed from variables prior to the analyses. The correlation was only significant in the anyA9 group. Abbreviations: K, average node-degree; PC, participation coefficient.</p

Interactions between age and <i>DAT1</i> genotype on participation coefficient (PC): DMN network.

(A) The right panels plot the log of p values as a function of K while the horizontal black line indicates the FDR corrected p = 0.05. (B) Effects shown with averaged PC (over the K range from 35 to 45) as the independent variable and the factors age and gene. Abbreviations: DMN, default mode network; FDR, false discovery rate; K, average node-degree; N, number of nodes within subnetwork; OA, old adults; YA, young adults.</p

Interactions between age and <i>DAT1</i> genotype on participation coefficient (PC): Whole brain.

(A) The right panels plot the log of p values as a function of K while the horizontal black line indicates the FDR corrected p = 0.05. (B) Effects shown with averaged PC (over the K range from 35 to 45) as the independent variable and the factors age and gene. Abbreviations: FDR, false discovery rate; K, average node-degree; OA, old adults; YA, young adults.</p

Data_Sheet_1_No evidence for a reciprocal relationship between daily self-control failures and addictive behavior in a longitudinal study.docx

IntroductionWe all experience occasional self-control failures (SCFs) in our daily lives, where we enact behaviors that stand in conflict with our superordinate or long-term goals. Based on the assumption that SCFs share common underlying mechanisms with addictive disorders, we tested the hypothesis that a generally higher susceptibility to daily SCFs predicts more addictive behavior, or vice versa.MethodsAt baseline, 338 individuals (19–27 years, 59% female) from a community sample participated in multi-component assessments. These included among others (1) a clinical interview on addictive behaviors (quantity of use, frequency of use, DSM-5 criteria; n = 338) and (2) ecological momentary assessment of SCFs (n = 329, 97%). At the 3-year and 6 year follow-up, participation rates for both assessment parts were 71% (n = 240) and 50% (n = 170), respectively.ResultsControlling for age, gender, IQ, and baseline addiction level, random-intercept cross-lagged panel models revealed that participants who reported more SCFs also showed pronounced addictive behavior at the between-person level, but we found no evidence of a predictive relationship at the within-person level over time.DiscussionA higher rate of SCFs is associated with more addictive behavior, while there is no evidence of an intraindividual predictive relationship. Novel hypotheses suggested by additional exploratory results are that (1) only addiction-related SCFs in daily life are early markers of an escalation of use and thus for addictive disorders and that (2) an explicit monitoring of SCFs increases self-reflection and thereby promotes the mobilization of cognitive control in response to goal-desire conflicts.</p