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Abstract #2028

Human Structural Hand Motor Network Inferred by Probabilistic Q-Ball Tractography & MEG

Monica Bucci1, Kelly Westlake2, Bagrat Amirbekian2,3, Srikantan Nagarajan2, Roland G. Henry2,3

1Department of Radiology & Biomedical Imaging, UCSF, San Francisco, CA, United States; 2Department of Radiology & Biomedical Imaging, UCSF, San Francisco, United States; 3Graduate Group in Bioengineering, UCSF, United States

We performed a neuroimaging assessment with active task-based spatiotemporal data (using MEGI) and structural connectivity of the white matter sensorimotor pathways (using dMRI) in 10 normal controls. We used high angular resolution diffusion imaging in conjunction with probabilistic tractography methods and MEGI to estimate the structural connectivity of white matter tracts within the established sensorimotor network. We mapped the expected human structural hand motor network, including connections previously not characterized in vivo. Our preliminary data indicate that functional MEGI of motor cortex increases our ability to confidently delineate the structural connectivity involved in the motor network through HARDI fiber tracking.