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  Tangential derivative mapping of axial MEG applied to event-related desynchronization research

Bastiaansen, M. C. M., & Knösche, T. R. (2000). Tangential derivative mapping of axial MEG applied to event-related desynchronization research. Clinical Neurophysiology, 111(7), 1300-1305. doi:10.1016/S1388-2457(00)00272-8.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-DDC9-4 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-5BD6-9
Genre: Journal Article

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 Creators:
Bastiaansen, M. C. M., Author
Knösche, Thomas R.1, Author              
Affiliations:
1MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574              

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Free keywords: Event-related desynchronization; Simulations; MEG; Axial gradiometers; Spatial derivatives; Voluntary movement
 Abstract: Objectives: A problem with the topographic mapping of MEG data recorded with axial gradiometers is that field extrema are measured at sensors located at either side of a neuronal generator instead of at sensors directly above the source. This is problematic for the computation of event-related desynchronization (ERD) on MEG data, since ERD relies on a correspondence between the signal maximum and the location of the neuronal generator. Methods: We present a new method based on computing spatial derivatives of the MEG data. The limitations of this method were investigated by means of forward simulations, and the method was applied to a 150-channel MEG dataset. Results: The simulations showed that the method has some limitations. (1) Fewer channels reduce accuracy and amplitude. (2) It is less suitable for deep or very extended sources. (3) Multiple sources can only be distinguished if they are not too close to each other. Applying the method in the calculation of ERD on experimental data led to a considerable improvement of the ERD maps. Conclusions: The proposed method offers a significant advantage over raw MEG signals, both for the topographic mapping of MEG and for the analysis of rhythmic MEG activity by means of ERD.

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Language(s): eng - English
 Dates: 2000
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 239421
ISI: 000088441800020
Other: P6876
DOI: 10.1016/S1388-2457(00)00272-8
 Degree: -

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Title: Clinical Neurophysiology
  Other : Clin. Neurophysiol.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 111 (7) Sequence Number: - Start / End Page: 1300 - 1305 Identifier: ISSN: 1388-2457
CoNE: https://pure.mpg.de/cone/journals/resource/954926941726