Analysis scripts for [insert publication DOI link]. For each analysis there are two scripts, one for the comparison of GD and conGD, one for the comparison of siblings and conSIB.
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Group characteristics Non-parametric tests comparing groups on demographic and clinical charactersitics. Results reported in table 1a.
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Impulsivity UPPS-P MCQ Kirby MCQ: Mixed linear regression to predict log(k). Reported in table 1c. UPPS-P: unpaired t-tests of subscales Reported in table 1b
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Impulsivity SST Non-parametric comparison of groups on SST variables. Reported in table 1d.
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CGT
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_decision_quality.R Mixed logistic regression models predicting decision quality.
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_bet_ascending.R and _bet_descending.R Two files, one for ascending model, one for descending model. Mixed linear regression.
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fMRI behaviour Analysis of ratings during near miss task. Chance of winning and continue to play. Descriptives and mixed linear models.
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fMRI ROI Unlike previous scripts, bothe GD and SIB analyses are contained within the same file. One file for Near miss>full miss ROI anlaysis, one for win > all miss. Each file contains 6 models (3 ROIs x SIBHC, 3 ROIS x GDHC). Used lme instead of lmer.
- GDHC_and_SIBHC_WIN.R Resported in supplemental materials.
- GDHC_and_SIBHC_NM.R Resported in supplemental materials.
- Between task correlations Resported in supplemental materials. Correlation between negative urgency and CGT bet and between negative urgency and fMRI win response. Within GD and SIB participants only.