Contributed by HaoTingWang on March 7, 2017
Description: To further validate the latent components yielded form SCCA, we examined if the experience components were associated with differential communication from the DMN to other areas of cortex. First, we conducted a dual regression (Beckman et al, 2009; Filippini et al, 2009) with the DMN ROIs as the spatial regressor to extract the mean timeseries of the DMN as the temporal regressor. We take the the mean timeseries and used cerebrospinal fluid and white matter signal (top five PCA components, CompCor method) as confound regressors to perform a functional connectivity analysis. The result we obtained is a subject-specific spatial map based on the selected ROIs and these maps were used as dependent measures in our group level analysis. Secondly, we tested the whether there are regions associated with the canonical components and the selected ROIs in the group level analysis using FMRIB’s Local Analysis of Mixed Effects stage 1 (FLAME 1) with automatic outlier detection. We included the two canonical components on thought reports only, group mean and Jenkinson’s mean Frame-wise Displacement as the main explanatory variables in the full model. 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.Task View 3D View
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