Dear Alfonso,

For my research I am looking into functional connectivity differences between dieting and non-dieting individuals, for calorie labeled food cues and unlabeled food cues. I ran the complete analysis (seed-to-voxel), but am looking for a way to create bar plots for connectivity differences for each condition/group for my right Ventral Striatum - Anterior Cinculate Cortex cluster. To illustrate, I am looking for a way to graph average connectivity values for dieters: unlabeled food cue, dieters: calorie labeled food cue and non-dieters: unlabeled food cues and dieters: calorie labeled food cues. I see that I can get a graph with 'Effect Size' with the function 'Plot Effects'. However, I cannot find in the handbook or on other sources what exactly these 'effect sizes' mean within this function, what the confidence intervals are (for example 95% CI) nor a way to extract all individual connectivity scores within groups / calories so that I could calculate it manually. Could you help me out with this matter? Is it indeed the case that 'Plot Effects' show connectivity differences for my cluster between groups and conditions? 

It would help me a lot! Thank you in advance! I added an image to illustrate, and used standard settings for cluster based inferences (voxel treshold p < .001 two-sided, cluster treshold p < .005 parametric stats)

Have a great week!

Kind regards, 

Fenna