Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data

This study concerns reconstructing brain activity at various depths based on non-invasive EEG (electroencephalography) scalp measurements. We aimed at demonstrating the potential of the RAMUS (randomized multiresolution scanning) technique in localizing weakly distinguishable far-field sources in co...

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Autores principales:	Atena Rezaei, Joonas Lahtinen, Frank Neugebauer, Marios Antonakakis, Maria Carla Piastra, Alexandra Koulouri, Carsten H. Wolters, Sampsa Pursiainen
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Electroencephalography (EEG) Somatosensory evoked potential (SEP) Median nerve stimulation Finite element method (FEM) Hierarchical Bayesian model (HBM) Deep brain activity Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/6a1c0dc514314004bbf857cb4b39b5b1
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spelling	oai:doaj.org-article:6a1c0dc514314004bbf857cb4b39b5b12021-11-28T04:29:02ZReconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data1095-957210.1016/j.neuroimage.2021.118726https://doaj.org/article/6a1c0dc514314004bbf857cb4b39b5b12021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1053811921009988https://doaj.org/toc/1095-9572This study concerns reconstructing brain activity at various depths based on non-invasive EEG (electroencephalography) scalp measurements. We aimed at demonstrating the potential of the RAMUS (randomized multiresolution scanning) technique in localizing weakly distinguishable far-field sources in combination with coninciding cortical activity. As we have shown earlier theoretically and through simulations, RAMUS is a novel mathematical method that by employing the multigrid concept, allows marginalizing noise and depth bias effects and thus enables the recovery of both cortical and subcortical brain activity. To show this capability with experimental data, we examined the 14–30 ms post-stimulus somatosensory evoked potential (SEP) responses of human median nerve stimulation in three healthy adult subjects. We aim at reconstructing the different response components by evaluating a RAMUS-based estimate for the primary current density in the nervous tissue. We present source reconstructions obtained with RAMUS and compare them with the literature knowledge of the SEP components and the outcome of the unit-noise gain beamformer (UGNB) and standardized low-resolution brain electromagnetic tomography (sLORETA). We also analyzed the effect of the iterative alternating sequential technique, the optimization technique of RAMUS, compared to the classical minimum norm estimation (MNE) technique. Matching with our previous numerical studies, the current results suggest that RAMUS could have the potential to enhance the detection of simultaneous deep and cortical components and the distinction between the evoked sulcal and gyral activity.Atena RezaeiJoonas LahtinenFrank NeugebauerMarios AntonakakisMaria Carla PiastraAlexandra KoulouriCarsten H. WoltersSampsa PursiainenElsevierarticleElectroencephalography (EEG)Somatosensory evoked potential (SEP)Median nerve stimulationFinite element method (FEM)Hierarchical Bayesian model (HBM)Deep brain activityNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENNeuroImage, Vol 245, Iss , Pp 118726- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electroencephalography (EEG) Somatosensory evoked potential (SEP) Median nerve stimulation Finite element method (FEM) Hierarchical Bayesian model (HBM) Deep brain activity Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Electroencephalography (EEG) Somatosensory evoked potential (SEP) Median nerve stimulation Finite element method (FEM) Hierarchical Bayesian model (HBM) Deep brain activity Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Atena Rezaei Joonas Lahtinen Frank Neugebauer Marios Antonakakis Maria Carla Piastra Alexandra Koulouri Carsten H. Wolters Sampsa Pursiainen Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data
description	This study concerns reconstructing brain activity at various depths based on non-invasive EEG (electroencephalography) scalp measurements. We aimed at demonstrating the potential of the RAMUS (randomized multiresolution scanning) technique in localizing weakly distinguishable far-field sources in combination with coninciding cortical activity. As we have shown earlier theoretically and through simulations, RAMUS is a novel mathematical method that by employing the multigrid concept, allows marginalizing noise and depth bias effects and thus enables the recovery of both cortical and subcortical brain activity. To show this capability with experimental data, we examined the 14–30 ms post-stimulus somatosensory evoked potential (SEP) responses of human median nerve stimulation in three healthy adult subjects. We aim at reconstructing the different response components by evaluating a RAMUS-based estimate for the primary current density in the nervous tissue. We present source reconstructions obtained with RAMUS and compare them with the literature knowledge of the SEP components and the outcome of the unit-noise gain beamformer (UGNB) and standardized low-resolution brain electromagnetic tomography (sLORETA). We also analyzed the effect of the iterative alternating sequential technique, the optimization technique of RAMUS, compared to the classical minimum norm estimation (MNE) technique. Matching with our previous numerical studies, the current results suggest that RAMUS could have the potential to enhance the detection of simultaneous deep and cortical components and the distinction between the evoked sulcal and gyral activity.
format	article
author	Atena Rezaei Joonas Lahtinen Frank Neugebauer Marios Antonakakis Maria Carla Piastra Alexandra Koulouri Carsten H. Wolters Sampsa Pursiainen
author_facet	Atena Rezaei Joonas Lahtinen Frank Neugebauer Marios Antonakakis Maria Carla Piastra Alexandra Koulouri Carsten H. Wolters Sampsa Pursiainen
author_sort	Atena Rezaei
title	Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data
title_short	Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data
title_full	Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data
title_fullStr	Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data
title_full_unstemmed	Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data
title_sort	reconstructing subcortical and cortical somatosensory activity via the ramus inverse source analysis technique using median nerve sep data
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/6a1c0dc514314004bbf857cb4b39b5b1
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Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data

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