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Abstract #3584

Mapping of Midbrain Nuclei Connectivity Networks using Time-Domain Phase-REgularized Parallel (T-PREP) Reconstruction of High-Resolution fMRI

Nan-Kuei Chen1

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

Mapping of intrinsic connectivity networks is widely applied to imaging different patient populations. However, conventional fMRI protocols used in ICN mapping only provide data at a relatively low spatial-resolution. Although low-resolution ICN mapping may be sufficient to detect disruptions of major large-scale networks, it cannot measure the networks comprising nodes that are smaller in size, such as the midbrain nuclei. To address this limitation, here we report a novel time-domain phase-regularized parallel (T-PREP) reconstruction algorithm, retaining the fidelity of BOLD time-course profiles derived from under-sampled fMRI data, so that midbrain connectivity ICNs can be reliably measured from high-resolution resting-state fMRI.