Published July 28, 2026
| Version paper-ncomms-2026_2
Software
Open
danclab/laMEG: A toolbox for laminar inference with MEG
Description
laMEG is an open-source Python toolbox for laminar analysis of magnetoencephalography (MEG) data. It provides methods for constructing anatomically informed multilayer cortical surface models, performing source reconstruction across cortical depth, and statistically inferring the laminar origin of human brain activity. The package integrates with SPM12 and FreeSurfer and includes tools for MRI processing, forward modelling, source inversion, layer-specific analysis, and visualization. laMEG is designed to support reproducible research in high-resolution non-invasive neuroimaging and includes documentation, tutorials, and example datasets.
Files
danclab/laMEG-paper-ncomms-2026_2.zip
Additional details
Related works
- Is supplement to
- Software: https://github.com/danclab/laMEG/tree/paper-ncomms-2026_2 (URL)
Software
- Repository URL
- https://github.com/danclab/laMEG
- Programming language
- Python
- Development Status
- Active