MEG source localization using invariance of noise space.

We propose INvariance of Noise (INN) space as a novel method for source localization of magnetoencephalography (MEG) data. The method is based on the fact that modulations of source strengths across time change the energy in signal subspace but leave the noise subspace invariant. We compare INN with...

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Autores principales:	Junpeng Zhang, Tommi Raij, Matti Hämäläinen, Dezhong Yao
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8f2dc09d926e41eea73f01da8923e4eb
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spelling	oai:doaj.org-article:8f2dc09d926e41eea73f01da8923e4eb2021-11-18T07:54:22ZMEG source localization using invariance of noise space.1932-620310.1371/journal.pone.0058408https://doaj.org/article/8f2dc09d926e41eea73f01da8923e4eb2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23505502/?tool=EBIhttps://doaj.org/toc/1932-6203We propose INvariance of Noise (INN) space as a novel method for source localization of magnetoencephalography (MEG) data. The method is based on the fact that modulations of source strengths across time change the energy in signal subspace but leave the noise subspace invariant. We compare INN with classical MUSIC, RAP-MUSIC, and beamformer approaches using simulated data while varying signal-to-noise ratios as well as distance and temporal correlation between two sources. We also demonstrate the utility of INN with actual auditory evoked MEG responses in eight subjects. In all cases, INN performed well, especially when the sources were closely spaced, highly correlated, or one source was considerably stronger than the other.Junpeng ZhangTommi RaijMatti HämäläinenDezhong YaoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 3, p e58408 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Junpeng Zhang Tommi Raij Matti Hämäläinen Dezhong Yao MEG source localization using invariance of noise space.
description	We propose INvariance of Noise (INN) space as a novel method for source localization of magnetoencephalography (MEG) data. The method is based on the fact that modulations of source strengths across time change the energy in signal subspace but leave the noise subspace invariant. We compare INN with classical MUSIC, RAP-MUSIC, and beamformer approaches using simulated data while varying signal-to-noise ratios as well as distance and temporal correlation between two sources. We also demonstrate the utility of INN with actual auditory evoked MEG responses in eight subjects. In all cases, INN performed well, especially when the sources were closely spaced, highly correlated, or one source was considerably stronger than the other.
format	article
author	Junpeng Zhang Tommi Raij Matti Hämäläinen Dezhong Yao
author_facet	Junpeng Zhang Tommi Raij Matti Hämäläinen Dezhong Yao
author_sort	Junpeng Zhang
title	MEG source localization using invariance of noise space.
title_short	MEG source localization using invariance of noise space.
title_full	MEG source localization using invariance of noise space.
title_fullStr	MEG source localization using invariance of noise space.
title_full_unstemmed	MEG source localization using invariance of noise space.
title_sort	meg source localization using invariance of noise space.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/8f2dc09d926e41eea73f01da8923e4eb
work_keys_str_mv	AT junpengzhang megsourcelocalizationusinginvarianceofnoisespace AT tommiraij megsourcelocalizationusinginvarianceofnoisespace AT mattihamalainen megsourcelocalizationusinginvarianceofnoisespace AT dezhongyao megsourcelocalizationusinginvarianceofnoisespace
_version_	1718422789341315072

MEG source localization using invariance of noise space.

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