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High-Speed Real-Time Resting-State fMRI Using Multi-Slab Echo-Volumar Imaging
2013
Frontiers in Human Neuroscience
We recently demonstrated that ultra-high-speed real-time fMRI using multi-slab echovolumar imaging (MEVI) significantly increases sensitivity for mapping task-related activation and resting-state networks (RSNs) compared to echo-planar imaging (Posse et al., 2012) . In the present study we characterize the sensitivity of MEVI for mapping RSN connectivity dynamics, comparing independent component analysis (ICA) and a novel seedbased connectivity analysis (SBCA) that combines sliding-window
doi:10.3389/fnhum.2013.00479
pmid:23986677
pmcid:PMC3752525
fatcat:2cxy324ipfcitc25qdu37tzjke