to produce a subject-specific spatial map based on the selected ROIs and these maps were used as dependent measures in our group level analysis. To test whether the functional connectivity of the DMN ROIs associated with the canonical components we conducted a group level analysis using FMRIB’s Local Analysis of Mixed Effects stage 1 (FLAME 1). We included the two canonical components on thought reports only, group mean and Jenkinson’s mean frame-wise displacement (FD) (Jenkinson, Bannister, Brady, & Smith, 2002), to control for spurious correlations that may emerge from movement, as explanatory variables in the full model. The Jenkinson’s mean FD was calculated by the motion power statistic function in Configurable Pipeline for the Analysis of Connectomes (C-PAC; ). A 50% probabilistic grey matter mask was applied to the result maps and the results were thresholded at the whole-brain level using cluster-based Gaussian random field theory, with a cluster-forming threshold of Z = 2.6, and a Family-Wise Error corrected cluster significance level of p< 0.05. Unthresholded maps were uploaded onto Neurovault and can be found here: . Principal components analysis. To summarize the questionnaire and task data we performed an initial data reduction step using principal components analysis (PCA) in SPSS (IBM, version 24). This analysis was performed separately for the questionnaires and task measures. One hundred and forty-five participants’ data were included in the questionnaire items analysis and 157 in the behavioral tasks analysis. The behavioral task measures were converted into z-scores to avoid data distortions derived from the difference in score means. Missing data was imputed by mean scores in both analyses. Kaiser-Meyer-Olkin measure of sampling adequacy (KMO) and Bartlett’s test of sphericity were conducted to measure the sampling adequacy of the model. Components were selected based on the
to produce a subject-specific spatial map based on the selected ROIs and these maps were used as dependent measures in our group level analysis. To test whether the functional connectivity of the DMN ROIs associated with the canonical components we conducted a group level analysis using FMRIB’s Local Analysis of Mixed Effects stage 1 (FLAME 1). We included the two canonical components on thought reports only, group mean and Jenkinson’s mean frame-wise displacement (FD) (Jenkinson, Bannister, Brady, & Smith, 2002), to control for spurious correlations that may emerge from movement, as explanatory variables in the full model. The Jenkinson’s mean FD was calculated by the motion power statistic function in Configurable Pipeline for the Analysis of Connectomes (C-PAC; ). A 50% probabilistic grey matter mask was applied to the result maps and the results were thresholded at the whole-brain level using cluster-based Gaussian random field theory, with a cluster-forming threshold of Z = 2.6, and a Family-Wise Error corrected cluster significance level of p< 0.05. Unthresholded maps were uploaded onto Neurovault and can be found here: . Principal components analysis. To summarize the questionnaire and task data we performed an initial data reduction step using principal components analysis (PCA) in SPSS (IBM, version 24). This analysis was performed separately for the questionnaires and task measures. One hundred and forty-five participants’ data were included in the questionnaire items analysis and 157 in the behavioral tasks analysis. The behavioral task measures were converted into z-scores to avoid data distortions derived from the difference in score means. Missing data was imputed by mean scores in both analyses. Kaiser-Meyer-Olkin measure of sampling adequacy (KMO) and Bartlett’s test of sphericity were conducted to measure the sampling adequacy of the model. Components were selected based on the