AI opens a path to a better understanding of changes in the brain
Brain networks are often represented by graph models that incorporate neuroimaging data from MRI or CT scans to represent functional or structural connections within the brain. These brain graphs can be used to understand how the organ changes over time.
Traditionally, however, these models treat the brain graphs as static, which can miss or ignore underlying changes that could signal the onset of disease or neurological disorders.