Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

1 results

  • 11 - Magnetoencephalography (MEG)

  • Geir Halnes, Norwegian University of Life Sciences, Torbjørn V. Ness, Norwegian University of Life Sciences, Solveig Næss, Universitetet i Oslo, Espen Hagen, Universitetet i Oslo, Klas H. Pettersen, The Norwegian Artificial Intelligence Research Consortium, Gaute T. Einevoll, Norwegian University of Life Sciences
  • Book:
    Electric Brain Signals
    Published online:
    30 May 2024
    Print publication:
    06 June 2024, pp 276-288

  • Summary

    The magnetoencephalographic signal is the magnetic field recorded outside the scalp of the head. It is believed to originate from the combined activity of large populations of neurons. In forward models of MEG signals, the neural output is typically represented in terms of equivalent current dipoles. We here go through the mathematical equations for computing MEG signals from current dipoles, present computer simulations of MEG signals using simplified models of the head geometry, and show how the predicted MEG signals depend on the chosen head model and orientations of the dipoles. We also present a formalism for modeling the magnetic field inside brain tissue.