nMapping: High speed, high SNR fMRI using direct mapping of functional networks

In fMRI, image acquisition and processing are typically treated as separate processes. We show here that when the goal is to obtain the functional time course of brain networks or nodes, the SNR per unit time can be dramatically increased by collecting highly under sampled data and estimating the time courses directly from raw k-space data, bypassing the formation of conventional images.

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