Testing covariance models for MEG source reconstruction of hippocampal activity

Abstract Beamforming is one of the most commonly used source reconstruction methods for magneto- and electroencephalography (M/EEG). One underlying assumption, however, is that distant sources are uncorrelated and here we tested whether this is an appropriate model for the human hippocampal data. We...

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Autores principales:	George C. O’Neill, Daniel N. Barry, Tim M. Tierney, Stephanie Mellor, Eleanor A. Maguire, Gareth R. Barnes
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/42044884e08a43d1ba7b2f03db0194da
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id	oai:doaj.org-article:42044884e08a43d1ba7b2f03db0194da
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spelling	oai:doaj.org-article:42044884e08a43d1ba7b2f03db0194da2021-12-02T16:37:38ZTesting covariance models for MEG source reconstruction of hippocampal activity10.1038/s41598-021-96933-02045-2322https://doaj.org/article/42044884e08a43d1ba7b2f03db0194da2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96933-0https://doaj.org/toc/2045-2322Abstract Beamforming is one of the most commonly used source reconstruction methods for magneto- and electroencephalography (M/EEG). One underlying assumption, however, is that distant sources are uncorrelated and here we tested whether this is an appropriate model for the human hippocampal data. We revised the Empirical Bayesian Beamfomer (EBB) to accommodate specific a-priori correlated source models. We showed in simulation that we could use model evidence (as approximated by Free Energy) to distinguish between different correlated and uncorrelated source scenarios. Using group MEG data in which the participants performed a hippocampal-dependent task, we explored the possibility that the hippocampus or the cortex or both were correlated in their activity across hemispheres. We found that incorporating a correlated hippocampal source model significantly improved model evidence. Our findings help to explain why, up until now, the majority of MEG-reported hippocampal activity (typically making use of beamformers) has been estimated as unilateral.George C. O’NeillDaniel N. BarryTim M. TierneyStephanie MellorEleanor A. MaguireGareth R. BarnesNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q George C. O’Neill Daniel N. Barry Tim M. Tierney Stephanie Mellor Eleanor A. Maguire Gareth R. Barnes Testing covariance models for MEG source reconstruction of hippocampal activity
description	Abstract Beamforming is one of the most commonly used source reconstruction methods for magneto- and electroencephalography (M/EEG). One underlying assumption, however, is that distant sources are uncorrelated and here we tested whether this is an appropriate model for the human hippocampal data. We revised the Empirical Bayesian Beamfomer (EBB) to accommodate specific a-priori correlated source models. We showed in simulation that we could use model evidence (as approximated by Free Energy) to distinguish between different correlated and uncorrelated source scenarios. Using group MEG data in which the participants performed a hippocampal-dependent task, we explored the possibility that the hippocampus or the cortex or both were correlated in their activity across hemispheres. We found that incorporating a correlated hippocampal source model significantly improved model evidence. Our findings help to explain why, up until now, the majority of MEG-reported hippocampal activity (typically making use of beamformers) has been estimated as unilateral.
format	article
author	George C. O’Neill Daniel N. Barry Tim M. Tierney Stephanie Mellor Eleanor A. Maguire Gareth R. Barnes
author_facet	George C. O’Neill Daniel N. Barry Tim M. Tierney Stephanie Mellor Eleanor A. Maguire Gareth R. Barnes
author_sort	George C. O’Neill
title	Testing covariance models for MEG source reconstruction of hippocampal activity
title_short	Testing covariance models for MEG source reconstruction of hippocampal activity
title_full	Testing covariance models for MEG source reconstruction of hippocampal activity
title_fullStr	Testing covariance models for MEG source reconstruction of hippocampal activity
title_full_unstemmed	Testing covariance models for MEG source reconstruction of hippocampal activity
title_sort	testing covariance models for meg source reconstruction of hippocampal activity
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/42044884e08a43d1ba7b2f03db0194da
work_keys_str_mv	AT georgeconeill testingcovariancemodelsformegsourcereconstructionofhippocampalactivity AT danielnbarry testingcovariancemodelsformegsourcereconstructionofhippocampalactivity AT timmtierney testingcovariancemodelsformegsourcereconstructionofhippocampalactivity AT stephaniemellor testingcovariancemodelsformegsourcereconstructionofhippocampalactivity AT eleanoramaguire testingcovariancemodelsformegsourcereconstructionofhippocampalactivity AT garethrbarnes testingcovariancemodelsformegsourcereconstructionofhippocampalactivity
_version_	1718383627315707904

Testing covariance models for MEG source reconstruction of hippocampal activity

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