New research from the University of Buffalo, using computational models of individual people’s connectomes, shed light into individual differences in brain activation patterns, as well as how those patterns may change over time. Since 2009, scientists around the globe have worked to create the Human Connectome, a structural blueprint of the various neural pathways and connections that underlie thought, reason, emotion, and behavior in the brain. Thanks to those pioneering efforts, we now understand that different regions of the brain work together in concert, forming specific networks that facilitate movement, or learning, or our interactions with others—the cognitive skills that allow us to survive and thrive in our daily lives. Yet despite these advances, it’s still not entirely clear how these networks may differ from person to person. Sarah Muldoon, a mathematician at the University of Buffalo, has long been interested in understanding individual differences in the brain.