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- Data for: Relevance of Routine Activities for Understanding the Impact of the Dual Systems Model on Binge Drinking Among College Students.I-STDDS Data
- Dataset
- Data for: CHILDHOOD TRAUMA AND POST-TRAUMA ENVIRONMENT AFFECT FEAR MEMORY AND ALCOHOL USE DIFFERENTLY IN MALE AND FEMALE MICESPSS files for behavior
- Dataset
- Data for: Multi-Session Electrical Neuromodulation Effects on Craving, Relapse and Cognitive Functions in Cocaine Use Disorder: A Randomized, Sham-controlled tDCS StudyIn a randomized, placebo-controlled, between subject study, we applied tDCS bilaterally with the anodal electrode targeting the right DLPFC (https://clinicaltrials.gov/ct2/show/NCT03025321). Patients with cocaine use disorder were allocated to ten sessions of either active tDCS (n = 29) or sham tDCS (n = 30) on five consecutive days. Inhibitory control and risky decision-making were measured via a Go-NoGo task and a two-choice gambling task, respectively, each at baseline, one day after all tDCS sessions and a follow up after three months. In addition, relapse at follow-up and craving were measured. An independent samples t-test was performed in SPSS to analyse the average number of days participants had relapsed in the 3 months after the tDCS intervention. An additional analysis was performed to test whether relapse rates differed for the active and sham tDCS group using the chi-square fisher exact test. For craving a multilevel analysis was performed in R (R Core Team, 2018) using the lme4 package (Bates et al., 2014) to fit the nested data structure of Time within individuals (Level 1), and Group (sham vs. active tDCS) at Level 2. Multilevel modelling also allowed us to include data points of individuals with missing data. Missing data is almost inevitable in EMA studies, since most participants miss at least some prompts. For behavioural data generated during the Go-NoGo task and the TCGT, multilevel analyses were again performed in R using the lme4 package . For all outcome measures, Time (pre, post, and follow-up) was defined at Level 1 and patients were defined at Level 2 with Group (sham tDCS vs active tDCS) as predictor variable. Similar to the outcome of craving, models M0, M1, M2, M3 and M4 were fitted to behavioural outcomes.
- Dataset
- Data for: The effects of Pavlovian cue extinction and ceftriaxone on cocaine relapse after abstinenceThis data set includes all data collected to test the hypothesis that extinction of cocaine-associated cues would be additive or synergistic with the effects of ceftriaxone on reduction of cue-primed cocaine-seeking.
- Dataset
- Data for: Drinking To Go Out or Going Out To Drink? A Longitudinal Study Of Alcohol In Night-Time Entertainment Districts.Longitudinal data set for night time entertainment district patrons in Brisbane.
- Dataset
- Data for: Self-Administration of Edible ∆9-Tetrahydrocannabinol and Associated Behavioral Effects in Mice.A recipe and detailed calculations for creating edible THC for self-administration in mice.
- Dataset
- Data for: Alcohol consumption and consequences in adolescents in 68 low and middle-income countries - a multi-country comparison of risks by sexSex differences in alcohol use and consequences in adolescents living in low and middle-income countries; Data are from the Global School-based Student Health Survey (GSHS);
- Dataset
- Data for: Predictors of availability of long-acting medication assisted therapy for opioid use disorderVariables derived from publicly available data, including NSSATS, CDC Wonder, Medicaid expansion dates
- Dataset
- Data for: Alcohol And Disgust: An Intimate RelationshipData from our study that examined the effects of alcohol on disgust sensitivity (TDD).
- Dataset
- Data for: Changes in Cardiac Vagal Tone as Measured by Heart Rate Variability During Naloxone-Induced Opioid WithdrawalThis file contains an excel document with all of the relevant data discussed in our publication, along with summaries of said data.
- Dataset
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