FiNNpy 2.0: Fast MEG source reconstruction

Abstract

Herein, we present the 2.0 update of FiNNpy, which expands the toolkits initial scope from the analysis of multi-site electrophysiological activity to track information propagation to include source reconstruction capability for MEG signals. Following the toolkits de- sign guidelines, the new functionality has been optimized towards minimal resource consumption, making source reconstruction much faster, especially when executed in a parallelized fashion. Furthermore, several quality-of-life aspects are introduced to support source reconstruction, such as grouping source-space activity into cortical areas, a cohesive documentation & in-code extensive literature references, and wrapping of previously terminal exclusive functions of FreeSurfer.