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bioRxiv · 10.1101/2024.10.11.617925

FiNNpy 2.0: Fast MEG source reconstruction

Crompton, D.·Keerthi, P.·Milosevic, L.·Scherer, M.
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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.

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Crompton, D., Keerthi, P., Milosevic, L., Scherer, M.. 2024-10-14. FiNNpy 2.0: Fast MEG source reconstruction. https://doi.org/10.1101/2024.10.11.617925

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