Applying the Common Model of Cognition to Resting-State fMRI Leads to the Identification of Abnormal Functional Connectivity in Parkinson’s Disease
- Micah Ketola, Radiology, University of Washington, Seattle, Washington, United States
- Andrea Stocco, Psychology, University of Washington, Seattle, Washington, United States
- Shelby Thompson, Environmental and Health Sciences, Spelman College, Atlanta, Georgia, United States
- Tara Madhyastha, Amazon, Seattle, Washington, United States
- Thomas Grabowski, Radiology, University of Washington, Seattle, Washington, United States
AbstractA complete understanding of cognitive function in humans must incorporate a model of interactions between networked brain regions. Alterations to these network interactions underlie cognitive impairment in many neurodegenerative diseases, providing an important physiological link between brain structure and cognitive function. Cognitive architectures have often been used to explain how healthy brains function, typically using task-based activity. However, this description is incomplete. Most systems-level brain activity is spontaneous, or intrinsic, and occurs whether or not a subject is performing a task. Here, we provide evidence that the Common Model of Cognition, a consensus model derived from an analysis of existing cognitive architectures, can (a) be generalized to account for brain activity at rest, rather than during tasks, and (b) correctly identify differences in basal ganglia connectivity in Parkinson's Disease.
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