Now that we've created our masks, we can go ahead and extract data using FSL's featquery tool. You may want to run it from the command line when batching large numbers of subjects, but this tutorial will focus on Featquery_gui, a graphical interface for loading subjects and ROIs, and then performing data extraction from that ROI. The procedure is similar to Marsbar, and I hope that the video is clear on how to do this.
Also, I've attached a Black Dynamite video for your enjoyment. Nothing to do with ROIs, really, but we all need a break now and then.
Also, I've attached a Black Dynamite video for your enjoyment. Nothing to do with ROIs, really, but we all need a break now and then.