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The structured mind at rest: Evidence for the “Common Model of Cognition” in resting state fMRI

Authors
Dr. Catherine Sibert
University of Groningen ~ Artificial Intelligence
Prof. Andrea Stocco
University of Washington ~ University of Washington
Holly Hake
University of Washington Seattle ~ Psychology
Abstract

The Common Model of Cognition (CMC) has been proposed as a high level framework through which functional neuroimaging data can be predicted and interpreted. Previous work has found the CMC is capable of predicting brain activity across a variety of tasks, but it has not been tested on resting state data. This paper adapts a previously used method for comparing theoretical models of brain structure, Dynamic Causal Modeling (DCM), for the task-free environment of resting state, and compares the CMC against six alternate architectural frameworks. For a large sample of subjects from the Human Connectome Project (HCP), the CMC provides the best account of resting state brain activity, suggesting the presence of a general purpose structure of connections in the brain that drives activity when at rest and when performing directed task behavior.

Tags

Keywords

Brain architecture
Cognitive Architecture
Computational models
Dynamic Causal Modeling
fMRI
Resting state
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Cite this as:

Sibert, C., Stocco, A., & Hake, H. S. (2021, July). The structured mind at rest: Evidence for the “Common Model of Cognition” in resting state fMRI. Paper presented at Virtual MathPsych/ICCM 2021. Via mathpsych.org/presentation/613.