A correlation network approach which visualizes the correlation matrix between neural markers of self-criticism and self-report data. Each dot corresponds to a variable and each line corresponds to a path between correlated variables. Clusters of variables highlight constructs which are interrelated. Greater width and less transparency of a path indicates the presence of a stronger correlation. Scale bar: red colour and luminance depicts a strong positive correlation, and green colour and luminance depicts a strong negative correlation. Variable positioning is created from a multidimensional scaling of the correlation absolute values. Figure inset (solid black-lined circle) depicts the relationship between neural markers of self-criticism and self-report attachment style. N = 40 for all measures except attachment styles, where N = 38, accounting for listwise deletion. Pearson correlation formula was used.