Published October 3, 2019
| Version v1
Dataset
Open
Data for the study: Comparison of beamformer implementations for MEG source localization
Authors/Creators
- 1. Megin Oy, Helsinki, Finland
- 2. Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland
- 3. Inria, CEA/Neurospin, Universite Paris-Saclay, Paris, France
- 4. Center of Functionally Integrative Neuroscience, Aarhus University, Denmark
- 5. The Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, UK
- 6. Department of Neurology, University of Texas Health Science Center at Houston, Houston, Texas, USA
- 7. Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- 8. Aston Brain Centre, School of Life and Health Sciences, Aston University, Birmingham, UK
- 9. NatMEG, Karolinska Institutet, Stockholm, Sweden
Description
This data set is a part of the study 'Comparison of beamformers implementations for MEG source localization'. The dataset includes 64 phantom datasets, 2 human datasets, and 50 simulated datasets. The data also include segmented MRI files from FreeSurfer for MEG phantom (Megin Oy, Helsinki, Finland) and a human subject MRI. It also includes the used versions of the four beamforming packages (MNE-Python, FieldTrip, SPM12(DAiSS), and Brainstorm) and codes used for the analysis.