01/10/2016 - 28/09/2018

DFG-SNF: Computational and phantom-based optimization of dc neuronal current imaging (dcNCI) with ultra-low-field nuclear magnetic resonance (ULF NMR)

The IT'IS Foundation and the German Physikalisch-Technische Bundesanstalt (PTB, National Metrology Institute) are joining forces to study complex neuronal processes of the human brain across different spatial and temporal scales.

Neuronal current imaging (NCI) via Nuclear Magnetic Resonance (NMR) is an imaging approach that potentially can simultaneously achieve a high spatial (mm) and temporal (below 100 ms) resolution, which are fundamental to investigate neuronal processes from a mesoscopic to a macroscopic level. In this project, an implementation scheme combining experimental phantom studies with computational/ simulation-based optimization techniques for the ultra-low frequency (ULF) NMR based direct-current (dc) NCI approach will be developed. The ultimate goal is to establish a versatile and validated simulation tool usable for predicting and optimizing sequences for dcNCI with ULF NMR with the prospect of its first in vivo demonstration.

Funding for this project comes from the Deutsche Forschungsgemeinschaft (DFG) and the Schweizerischer Nationalfonds (SNF). The kick-off meeting was held on 20th August 2016 in Zurich.