Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
Confirmatory Results

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

View ORCID ProfileMarijn van Vliet, View ORCID ProfileMia Liljeström, Susanna Aro, View ORCID ProfileRiitta Salmelin, Jan Kujala
doi: https://doi.org/10.1101/245530
Marijn van Vliet
1Aalto University, Department of Neuroscience and Biomedical Engineering, Espoo, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Marijn van Vliet
  • For correspondence: marijn.vanvliet@aalto.fi
Mia Liljeström
1Aalto University, Department of Neuroscience and Biomedical Engineering, Espoo, Finland
2NatMEG, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Mia Liljeström
Susanna Aro
1Aalto University, Department of Neuroscience and Biomedical Engineering, Espoo, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Riitta Salmelin
1Aalto University, Department of Neuroscience and Biomedical Engineering, Espoo, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Riitta Salmelin
Jan Kujala
1Aalto University, Department of Neuroscience and Biomedical Engineering, Espoo, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Article usage

Article usage: January 2018 to January 2021

AbstractFullPdf
Jan 20183620122
Feb 201849041
Mar 201887053
Apr 201834032
May 20182630127
Jun 2018112058
Jul 2018123043
Aug 2018129044
Sep 201876034
Oct 201858041
Nov 201823025
Dec 201829019
Jan 201937052
Feb 201928029
Mar 201916040
Apr 201915723
May 201923632
Jun 201924748
Jul 201927535
Aug 2019211418
Sep 201928519
Oct 2019391129
Nov 2019571642
Dec 2019271014
Jan 2020401214
Feb 2020902121
Mar 2020271215
Apr 202026735
May 202039822
Jun 202028118
Jul 202020821
Aug 2020151318
Sep 202092325
Oct 202041120
Nov 2020421411
Dec 2020221312
Jan 202113218
Back to top
PreviousNext
Posted May 16, 2018.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Analysis of functional connectivity and oscillatory power using DICS: from raw MEG data to group-level statistics in Python
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
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
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

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (2433)
  • Biochemistry (4793)
  • Bioengineering (3334)
  • Bioinformatics (14695)
  • Biophysics (6644)
  • Cancer Biology (5176)
  • Cell Biology (7436)
  • Clinical Trials (138)
  • Developmental Biology (4372)
  • Ecology (6881)
  • Epidemiology (2057)
  • Evolutionary Biology (9930)
  • Genetics (7349)
  • Genomics (9535)
  • Immunology (4567)
  • Microbiology (12698)
  • Molecular Biology (4952)
  • Neuroscience (28366)
  • Paleontology (199)
  • Pathology (809)
  • Pharmacology and Toxicology (1393)
  • Physiology (2025)
  • Plant Biology (4509)
  • Scientific Communication and Education (978)
  • Synthetic Biology (1302)
  • Systems Biology (3917)
  • Zoology (728)