Statistical analysis
anhedonia
This mechanistic study was powered to detect the effects of MORE on neurophysiological processes. Power analysis conducted with G*power 3.1 indicated that 60 subjects were required to detect a statistically significant (Given the canonical time window of the LPP and our Next, to perform an intention-to-treat analysis of the effects of treatment on SHAPS scores over time, we used linear mixed modeling (LMM) in SPSS 27 with maximum likelihood estimation and fixed effects consisting of a time factor and between-subjects treatment factor (MORE Finally, we examined correlations between neurophysiological responses (LPP and SCL) and anhedonia scores in the follow-up period. In an exploratory post-hoc analysis, we also examined neurophysiological correlates of positive affect and reward experience. We then conducted a path analysis in the R version 4.0.3 Lavaan package using maximum likelihood estimation with robust (Huber–White) standard errors to evaluate neurophysiological responses as a mediator of treatment effects (MORE 