Computational and Phantom-Based Feasibility Study of 3D dcNCI With Ultra-Low-Field MRI

The possibility to directly and non-invasively localize neuronal activities in the human brain, as for instance by performing current imaging (NCI) via magnetic resonance (MRI), would be a breakthrough neuroscience. In order assess feasibility of 3-dimensional (3D) NCI, comprehensive computational physical phantom experiments using low-noise ultra-low-field (ULF) MRI technology were performed two different source models within spherical phantoms. models, consisting single dipole an extended grid, calibrated enabling quantitative emulation long-lasting activity application known waveforms. dcNCI also simulated solving Bloch equations calculated internal field distributions phantoms idealized fields. simulations then validated moderate polarization 17 mT. A focal with equivalent about 150 nAm physiologically relevant depth 35 mm could resolved isotropic voxel size 25 mm. simulation tool enabled optimization parameters sustained predict maximum sensitivity.