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Abstract #3427

Temporal Resolution in Resting State Time-Series Acquisitions for Functional Connectivity Mapping

Christina Triantafyllou1,2, Randy L. Buckner, 2,3, Steven Shannon1, Sheeba Arnold1, Lawrence L. Wald2,4

1A.A. Martinos Imaging Center, Mc Govern Institute for Brain Research, MIT, Cambridge, MA, United States; 2A.A. Martinos Center for Biomedical Imaging, Department of Radiology, MGH, Harvard Medical School, Charlestown, MA, United States; 3Center for Brain Science, Harvard University, Cambridge, MA, United States; 4Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA, United States

Many studies have utilized functional connectivity as a tool to uncover brain networks, however limited effort devoted to characterizing the effect of image acquisition parameters such as temporal and spatial resolution on the quality of the connectivity maps. In this work we examine the effect of temporal resolution in the motor network, by modulating TR, number of measurements and acquisition time. Our findings show increased z-scores when TR was shortened for constant acquisition time, and were independent of TR for the acquisitions with a constant number of measurements. Furthermore, z-scores were improved when a 32ch array was used.