To make layer-fMRI connectivity mapping more attractive to neuroscience application research, it is desired to achieve a series of quality features including: high-sensitivity, whole-brain coverage, 0.5 mm resolutions, sub-second TRs, and minimal venous biases. While advanced layer-fMRI acquisition strategies can achieve each of those quality features individually, constraints can arise when all of these features are tried to be achieved simultaneously. Fig. 1C illustrates the layer-fMRI parameter space as a triangle of pushing coverage, resolution and TR.
