Confirmatory Results

Analysis of functional connectivity and oscillatory power using DICS: from raw MEG data to group-level statistics in Python

Marijn van Vliet, Mia Liljeström, Susanna Aro, Riitta Salmelin, Jan Kujala
doi: https://doi.org/10.1101/245530

Article Information

doi 
https://doi.org/10.1101/245530
History 
  • May 16, 2018.

Article Versions

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.

Author Information

  1. Marijn van Vliet1,*,
  2. Mia Liljeström1,2,
  3. Susanna Aro1,
  4. Riitta Salmelin1 and
  5. Jan Kujala1
  1. 1Aalto University, Department of Neuroscience and Biomedical Engineering, Espoo, Finland
  2. 2NatMEG, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
  1. ↵* Corresponding author: marijn.vanvliet{at}aalto.fi
Back to top
Posted May 16, 2018.
Download PDF
Email
Analysis of functional connectivity and oscillatory power using DICS: from raw MEG data to group-level statistics in Python
Marijn van Vliet, Mia Liljeström, Susanna Aro, Riitta Salmelin, Jan Kujala
bioRxiv 245530; doi: https://doi.org/10.1101/245530
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools

Subject Area