might naturally assume - for example in the variable “Qualifications”, higher numbers refer to lower levels of educational qualifications. In such cases we have inverted the sign of the ICA weightings printed in the figures, for ease of interpretation. Further, some variables are categorical, with no clear quantitative meaning to the values (e.g., “Transport type to work”); where we find an apparent association, this can be considered to be indicative of a real association (one might think of the analysis therefore as an over-conservative poor implementation of an ANOVA), but interpretation of the sign of the association clearly needs care. The analysis used data from the first 5430 subjects scanned and having usable imaging data: age range 44-78y (IQR 56-68y); 53% of subjects were female.
