How does the brain support aesthetic experiences with visual stimuli such as artwork, landscapes, architecture or dance? Recent work in our group suggests that finding a painting to be aesthetically moving involves a change away from the typical behavior of large-scale brain networks. In particular, the default-mode network (DMN), a brain network that is thought to support aspects of internally-directed thought, is typically suppressed when visual networks are active, and vice versa. However, during moving aesthetic experiences, these two networks appear to be simultaneously active (Vessel, Starr, Rubin, 2012; 2013). The goal of this project is to better understand these network interactions: what neural processes support such moving visual aesthetic experiences, and what role do changes in the activation and connectivity of large scale networks plays in moving aesthetic experiences.