By Topic

The localization of rhythmic brain activity in patients with brain tumors using magnetoencephalography

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
de Munck, J.C. ; MEG Centre KNAW, Univ. Hosp. Vrije, Amsterdam, Netherlands ; de Jongh, A. ; van Dijk, B.W.

Multi-channel MEG data is used to localize electric brain activity in the head by constructing a mathematical inverse model that gives the relationship between the location and orientation of the source (a current dipole) and the measured magnetic fields. When this technique is used to localize the generators of spontaneous brain rhythms (like the alpha rhythm, 8-12 Hz or the delta rhythm, 1-4 Hz) one faces the problem that the non-linear inverse problem has to be solved on large amounts of data. In our study, the inverse problem was solved efficiently by disregarding samples with low amplitude and samples with large initial guess errors, by splitting up the inverse problem into a linear and a non-linear part and by using a global search algorithm based on pre-computed tables applied with each time sample. When this technique is applied on the delta band of MEG data sets of patients with brain tumors, clusters of good fitting dipoles are found at the tumor boundaries. The numerical efficiency of the applied algorithm is sufficient to be applied in clinical practice on a routine basis

Published in:

Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE

Date of Conference:

2000