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  Estimating scalp MEG from whole-head MEG measurements

Wang, Y. H., & Oertel, U. (2000). Estimating scalp MEG from whole-head MEG measurements. Brain Topography, 12(3), 219-227. doi:10.1023/A:1023493908085.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-B272-F Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-4434-3
Genre: Journal Article

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 Creators:
Wang, Yunhua H.1, Author              
Oertel, U., 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: MEG; Inverse problem; Functional brain imaging; AEF; Distributed source model
 Abstract: Studies based on whole-head MEG recordings are providing more and more impressive results. In such recordings, the MEG sensors are several centimeters away from the scalp and the positions of the MEG sensors with respect to the head differ from subject to subject, and from session to session for the same subject. In this paper, a method is presented and tested to estimate the scalp MEG distributions from whole-head MEG measurements. The goal is to remove the discrepancy of MEG measurements caused by the various sensor positions with respect to the head, as well as to reduce the smearing effect caused by the distance of the MEG sensors from the scalp. The MEG measurement was first projected to a hypothetical dipole layer within the head volume conductor model using the inverse solution. The scalp MEG estimation was then obtained from the resultant dipole layer by the forward solution. The results from simulation studies, phantom experiments, and the auditory evoked field analysis demonstrated that, with reasonable signal to noise ratios, this method is a feasible way to achieve our goals.

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Language(s): eng - English
 Dates: 2000
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 239617
ISI: 000086677100005
Other: P7007
DOI: 10.1023/A:1023493908085
 Degree: -

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Title: Brain Topography
  Other : Brain Topogr.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : Human Sciences Press
Pages: - Volume / Issue: 12 (3) Sequence Number: - Start / End Page: 219 - 227 Identifier: ISSN: 0896-0267
CoNE: https://pure.mpg.de/cone/journals/resource/954925560559