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Abstract #3070

Recovery of Lost Connectivities in the Human Brain Connectome as Enabled by Ultra High Spatial Resolution Diffusion MRI

Iain P Bruce1, Christopher Petty1, Nan-Kuei Chen1, and Allen W Song1

1Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States

Typical diffusion tensor imaging datasets are acquired at relatively low spatial resolutions (~2 mm) because of limitations in commonly used single-shot echo-planar imaging (EPI) protocols. However, within a relatively coarse voxel, it is often difficult for fiber tracking algorithms to accurately resolve short association fibers (e.g. cortical u-fibers) with very high curvature. As these fibers play an important role in linking adjacent gyri and constructing the human connectome, this report aims to quantify the recovery of lost connections and the improved accuracy of mutual connectivities between ROIs through high spatial resolution (enabled by multi-shot EPI based on multiplexed sensitivity encoding).

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