Data analysis
depressed
Analyses will follow an intent-to-treat strategy comparing patients in the groups to which they were originally randomized.All data will be scored and rescored by separate staff members and checked for accuracy prior to double entry into a REDCap database. Before conducting inferential statistics, we will explore data using descriptive analyses, data visualization, and examining the distributions of all imaging and clinical data. When necessary for continuous variables used as dependent variables, appropriate transformations to obtain approximate normality will be performed.We will test a priori Primary Hypotheses in the 60 depressed participants by assessing a treatment-by-time interaction in multiple general linear models with repeated measures analyses in an intent-to-treat analysis applied to our various brain measures as dependent variables, including cortical thickness, task-based fMRI activation, resting state connectivity, and FA & ADC measures. Treatment (high vs low frequency) will be the independent variable. When testing hypotheses, we will account appropriately for the correlation of repeated measures across the two time points of measurement (baseline and 1 year) and the spatial correlation within each of our imaging measures. Covariates will include age and sex of the participants. We will examine parameter estimates and 95% confidence intervals, approximate the p-values of component terms, and estimate effect sizes in our final models. Least squares estimates (or maximum likelihood estimates) and their standard errors will be calculated for all models and plotted to assist in interpretation of significant main effects and their interactions. We will ensure that overall, study-wide Type I error-rate is maintained, correcting for multiple comparisons using False Discovery Rate (FDR). FDR-corrected The 30 healthy controls will be used to estimate the mean and variance of brain measures in the healthy population quantify the effects of high and low frequency psychoanalysis on brain measures and to aid their interpretation as either normalizing a previously abnormal brain measure or introducing a new brain difference that attenuates symptoms.