Applying the Common Model of Cognition to Resting-State fMRI Leads to theIdentification of Abnormal Functional Connectivity in Parkinson’s Disease
Abstract
A complete understanding of cognitive function in humansmust incorporate a model of interactions between networkedbrain regions. Alterations to these network interactions under-lie cognitive impairment in many neurodegenerative diseases,providing an important physiological link between brain struc-ture and cognitive function. Cognitive architectures have of-ten been used to explain how healthy brains function, typi-cally using task-based activity. However, this description isincomplete. Most systems-level brain activity is spontaneous,or intrinsic, and occurs whether or not a subject is performinga task. Here, we provide evidence that the Common Modelof Cognition, a consensus model derived from an analysis ofexisting cognitive architectures, can (a) be generalized to ac-count for brain activity at rest, rather than during tasks, and (b)correctly identify differences in basal ganglia connectivity inParkinson’s Disease.