Earliest, i performed voxelwise relationship investigation off volumes ranging from mommy and child, handling to possess daughter’s many years and you can limiting the study on the part of interest (ROI) using the BPM (Physiological Parametric Mapping) toolbox (Casa). We authored one to corticolimbic Roi, along with bilateral amygdala, ACC, vmPFC including the OFC and you can gyrus rectus, hippocampus, and you will parahippocampus gyrus defined by Automatic Talairach Atlas Identity (Lancaster ainsi que al., 2000) regarding Wake Tree College or university PickAtlas toolbox ( Return on your investment analyses was indeed did playing with a statistical tolerance out of p = 0.05 to possess voxel level, which in turn is actually thresholded in the a group endurance from p = 0.05 getting familywise error (FWE).
Based on our a priori hypothesis, we generated three brain maps: (1) correlation coefficients (association) that were significantly stronger between mother–dine whether mothers show stronger effects on daughters than sons; (2) mother–daughter greater than father–dine whether mothers compared with fathers show stronger effects on daughters; and (3) mother–daughter greater than father–son association to show, to the extent possible, sex-specific effects. One challenge in testing for statistical differences between correlations in our data is the partial dependency of the sample. For example, when we compare mother–daughter correlation with mother–son correlation, some observations are dependent (e.g., a mother who has a daughter and a son), but some others are not (e.g., a mother who has a daughter only). To address this statistical issue, we used a bootstrapping method (Efron and Tibshirani, 1993) to assess the significance of the difference between the two correlation coefficients. Specifically, we derived the SEs of the differences in correlations (e.g., SE of the differences in mother–daughter correlation and mother–son correlation) by repeatedly resampling the observed data. Importantly, the resampling procedure takes into account the (partial) dependency of the data, making it possible to precisely compute the SEs. Before implementing bootstrapping, each individual’s processed voxelwise GMV values within the corticolimbic ROI were extracted and converted to matrices using an in-house MATLAB-based multivariate pattern analysis toolbox (Hoeft et al., 2008, 2011). We then ran bootstrapping with an in-house R code (R Core Team, 2015). As a result, we obtained three brain maps representing significantly greater positive GMV correlation in mother–daughter pairs (p
To look at whether the degree of GMV during the notice places that show significant confident relationship between mothers and you will girl is on the mental and you will behavioral working when you look at the girl, Pearson’s correlation analyses was indeed performed anywhere between GMV research and you will standardized results from most of the BASC-2 bills taken from the latest daughters. According to previous behavioral records showing females-specific transmission designs inside the despair (Davies and you may Windle, 1997; Goodman and Gotlib, 1999; Goodman, 2007; Thompson mais aussi al., 2014), i hypothesized that there could be associations between daughters’ GMV and you can their BASC-2 despair subscales. GMV data have been taken from clusters on amygdala, ACC, OFC, gyrus rectus, and you may hippocampus that presented
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