Sloan Hall, Math Bldg 380, Room 380-C
The human brain is a complex system capable of supporting a wide range of adaptive goal-relevant behaviors. These behaviors are thought to be supported by the intrinsic functional architecture of large-scale functional systems that constrain and support diverse cognitive processes in a stable, yet flexible, manner. In this talk, I discuss recent advances in our understanding of the dynamic spatiotemporal organization of the human brain and how this organization supports flexible cognitive control. A unifying triple network model of salience and network switching is proposed and its role in attention and cognitive control examined. I describe how such dynamic spatiotemporal provide a unified framework for understanding key features of several major developmental psychopathologies, including autism and ADHD, in which cognitive control is impaired. I conclude by discussing recent progress in characterizing brain network dynamics and transient dynamic functional networks using latent state space models, and demonstrate that these models provide novel insights into (i) how the brain switches flexibly between latent states to meet moment-by-moment changes in cognitive demands, and (ii) how the inability to engage optimal brain states impairs cognition.