Poster F51, Tuesday, March 28, 8:00 – 10:00 am, Pacific Concourse
Corticostriatal activity during task-free fMRI to predict cognitive control performance
Alan Ceaser1, Jong Yoon1; 1Stanford University
A number of recent studies have shown that task-free Magnetic Resonance Imaging (MRI) can reveal reliable information about brain functioning during task performance. For example, Tavor et al. (2016) found that, using task-free resting state data, they could predict cortical activation during task-based functional MRI for a variety of cognitive domains. We were interested in investigating whether corticostriatal connectivity could be used to predict behavioral cognitive control performance. We recruited 18 individuals who underwent a 10 minute task-free MRI scan, followed by a computer test of cognitive control involving updating, interference control, and maintenance conditions. We used anatomical striatal seeds divided into tripartite divisions (associative, limbic, and motor) characterized by DiMartino et al. (2008). Correlation maps of the cortex using these seeds were created and were used in a regression model to determine what regions predicted task activity. We predict that task-free connectivity between the associative striatum seed and dorsolateral prefrontal cortex will predict activity during the updating condition. We also predict that connectivity between the associative striatum and the anterior cingulate and dorsolateral prefrontal cortex during task-free MRI will predict interference control activity. These findings will support other work suggesting that neural networks at rest are continuously interacting with each other, and that this activity can be leveraged to provide information about behavioral function.
Topic Area: EXECUTIVE PROCESSES: Working memory