The Brain’s Connectivity Networks in Disease and Recovery

Abstract

Amy Kuceyeski is the PI of the Computational Connectomics (CoCo) Lab at WCM. Her lab focuses on using quantitative methods, including machine learning, applied to MRI-based measures of brain connectivity networks to understand the mysteries of the human brain. One major interest of our lab is in uncovering connectome-based mechanisms of impairment and recovery after neurological injury or disease, including traumatic brain injury, multiple sclerosis and stroke. If we can understand brain-behavior relationships, we may be able to develop accurate diagnostics, prognostics and individualized therapeutics that can boost recovery after neurological disease or injury.