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Imaging somatosensory cortex responses measured by OPM-MEG: Variational free energy-based spatial smoothing estimation approach
In recent years, optically pumped magnetometer (OPM)-based magnetoencephalography (MEG) has shown potential for analyzing brain activity. It has a flexible sensor configuration and comparable sensitivity to conventional SQUID-MEG. We constructed a 32-channel OPM-MEG system and used it to measure cor...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800110/ https://www.ncbi.nlm.nih.gov/pubmed/35118364 http://dx.doi.org/10.1016/j.isci.2022.103752 |
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author | An, Nan Cao, Fuzhi Li, Wen Wang, Wenli Xu, Weinan Wang, Chunhui Xiang, Min Gao, Yang Sui, Binbin Liang, Aimin Ning, Xiaolin |
author_facet | An, Nan Cao, Fuzhi Li, Wen Wang, Wenli Xu, Weinan Wang, Chunhui Xiang, Min Gao, Yang Sui, Binbin Liang, Aimin Ning, Xiaolin |
author_sort | An, Nan |
collection | PubMed |
description | In recent years, optically pumped magnetometer (OPM)-based magnetoencephalography (MEG) has shown potential for analyzing brain activity. It has a flexible sensor configuration and comparable sensitivity to conventional SQUID-MEG. We constructed a 32-channel OPM-MEG system and used it to measure cortical responses to median and ulnar nerve stimulations. Traditional magnetic source imaging methods tend to blur the spatial extent of sources. Accurate estimation of the spatial size of the source is important for studying the organization of brain somatotopy and for pre-surgical functional mapping. We proposed a new method called variational free energy-based spatial smoothing estimation (FESSE) to enhance the accuracy of mapping somatosensory cortex responses. A series of computer simulations based on the OPM-MEG showed better performance than the three types of competing methods under different levels of signal-to-noise ratios, source patch sizes, and co-registration errors. FESSE was then applied to the source imaging of the OPM-MEG experimental data. |
format | Online Article Text |
id | pubmed-8800110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88001102022-02-02 Imaging somatosensory cortex responses measured by OPM-MEG: Variational free energy-based spatial smoothing estimation approach An, Nan Cao, Fuzhi Li, Wen Wang, Wenli Xu, Weinan Wang, Chunhui Xiang, Min Gao, Yang Sui, Binbin Liang, Aimin Ning, Xiaolin iScience Article In recent years, optically pumped magnetometer (OPM)-based magnetoencephalography (MEG) has shown potential for analyzing brain activity. It has a flexible sensor configuration and comparable sensitivity to conventional SQUID-MEG. We constructed a 32-channel OPM-MEG system and used it to measure cortical responses to median and ulnar nerve stimulations. Traditional magnetic source imaging methods tend to blur the spatial extent of sources. Accurate estimation of the spatial size of the source is important for studying the organization of brain somatotopy and for pre-surgical functional mapping. We proposed a new method called variational free energy-based spatial smoothing estimation (FESSE) to enhance the accuracy of mapping somatosensory cortex responses. A series of computer simulations based on the OPM-MEG showed better performance than the three types of competing methods under different levels of signal-to-noise ratios, source patch sizes, and co-registration errors. FESSE was then applied to the source imaging of the OPM-MEG experimental data. Elsevier 2022-01-07 /pmc/articles/PMC8800110/ /pubmed/35118364 http://dx.doi.org/10.1016/j.isci.2022.103752 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article An, Nan Cao, Fuzhi Li, Wen Wang, Wenli Xu, Weinan Wang, Chunhui Xiang, Min Gao, Yang Sui, Binbin Liang, Aimin Ning, Xiaolin Imaging somatosensory cortex responses measured by OPM-MEG: Variational free energy-based spatial smoothing estimation approach |
title | Imaging somatosensory cortex responses measured by OPM-MEG: Variational free energy-based spatial smoothing estimation approach |
title_full | Imaging somatosensory cortex responses measured by OPM-MEG: Variational free energy-based spatial smoothing estimation approach |
title_fullStr | Imaging somatosensory cortex responses measured by OPM-MEG: Variational free energy-based spatial smoothing estimation approach |
title_full_unstemmed | Imaging somatosensory cortex responses measured by OPM-MEG: Variational free energy-based spatial smoothing estimation approach |
title_short | Imaging somatosensory cortex responses measured by OPM-MEG: Variational free energy-based spatial smoothing estimation approach |
title_sort | imaging somatosensory cortex responses measured by opm-meg: variational free energy-based spatial smoothing estimation approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800110/ https://www.ncbi.nlm.nih.gov/pubmed/35118364 http://dx.doi.org/10.1016/j.isci.2022.103752 |
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