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

Uhl, C., Hutt, A., & Kruggel, F. (2001). Improvement of source localization by dynamical systems based modeling (DSBM). Brain Topography, 13(3), 219-226. doi:10.1023/A:1007859220001.

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 Creators:
Uhl, Christian1, Author              
Hutt, A.2, Author              
Kruggel, F.2, 3, Author              
Affiliations:
1Max Planck Research Group Neurocognition of Prosody, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634567              
2MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574              
3Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634563              

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Free keywords: EEG/MEG; Dipole source modeling; Signal filter; Signal reconstruction; Dynamical systems
 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.

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Language(s): eng - English
 Dates: 2001
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 238972
ISI: 000167798800006
Other: P6537
DOI: 10.1023/A:1007859220001
 Degree: -

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Title: Brain Topography
  Other : Brain Topogr.
Source Genre: Journal
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Publ. Info: New York, NY : Human Sciences Press
Pages: - Volume / Issue: 13 (3) Sequence Number: - Start / End Page: 219 - 226 Identifier: ISSN: 0896-0267
CoNE: https://pure.mpg.de/cone/journals/resource/954925560559