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