Specific Aims: Our first specific aim is to validate the components of the q-fMRI acquisition, which requires several different kinds of fMRI scans (or multimodal measurements). The second aim then applies the q-MRI method to study the functional brain networks that define brain activity when a person is simply resting and not engaged in any activity. These networks each consist of a unique set of regions that spontaneously fluctuate together in order to be "tuned" for future task performance. The effects of nicotine and alcohol and their interaction on these resting state networks are the focus of the application of our new q-fMRI strategy. q-fMRI measurements require several different scans, including making measurements of perfusion and oxygen metabolism, and an integrated analysis of all of these different results will be much more informative than separate analyses of each measurement. However, the analysis method, the linked independent component analysis (linked ICA) approach is very new and has never been applied to q-fMRI measurements or any other measurements of psychoactive drug effects. Thus, the third aim is to apply this novel analysis method to data acquired under different drug conditions to identify patterns of related activity in our multimodal fMRI data.