Improvement of source localization by dynamical systems based modeling (DSBM).

Abstract:

:Recently, we have proposed a new concept for analyzing EEG/MEG data (Uhl et al. 1998), which leads to a dynamical systems based modeling (DSBM) of neurophysiological data. We report the application of this approach to four different classes of simulated noisy data sets, to investigate the impact of DSBM-filtering on source localization. An improvement is demonstrated of up to above 50% of the distance between simulated and estimated dipole positions compared to principal component filtered and unfiltered data. On a noise level on which two underlying dipoles cannot be resolved from the unfiltered data, DSBM allows for an extraction of the two sources.

journal_name

Brain Topogr

journal_title

Brain topography

authors

Uhl C,Hutt A,Kruggel F

doi

10.1023/a:1007859220001

subject

Has Abstract

pub_date

2001-04-01 00:00:00

pages

219-26

issue

3

eissn

0896-0267

issn

1573-6792

journal_volume

13

pub_type

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