Software
We build open-source tools for reproducible neuroimaging research. MEGaNorm connects EEG and MEG processing with normative modeling, and we contribute to PCNtoolkit for modeling individual variation in brain data.
In-house software
MEGaNorm is a Python package that wraps MNE-Python and PCNToolkit functionalities for extracting functional imaging-derived phenotypes (f-IDPs) from large-scale EEG and MEG datasets, and then deriving their normative ranges. It allows researchers to analyze large MEG and EEG dataset using high-performance computing facilities, and then build, visualize, and analyze normative models of brain dynamics across individuals.
External software contributions
A Python package for normative modelling, spatial statistics and pattern recognition.