The expanding framework of brain disease pathophysiology has necessitated more holistic network-based “-omic” approaches to scientific investigation. The Seyfried Lab uses network proteomic analysis as a valuable tool for assessing pathophysiological changes in disease. This approach organizes complex proteomic data into unbiased groups or “modules” of protein co-expression that reflect various molecular, cellular, and circuit-level phenotypes.