Cargando…

A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources

Signal‐to‐noise ratio (SNR) maps are a good way to visualize electroencephalography (EEG) and magnetoencephalography (MEG) sensitivity. SNR maps extend the knowledge about the modulation of EEG and MEG signals by source locations and orientations and can therefore help to better understand and inter...

Descripción completa

Detalles Bibliográficos
Autores principales: Piastra, Maria Carla, Nüßing, Andreas, Vorwerk, Johannes, Clerc, Maureen, Engwer, Christian, Wolters, Carsten H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856654/
https://www.ncbi.nlm.nih.gov/pubmed/33156569
http://dx.doi.org/10.1002/hbm.25272
_version_ 1783646289949360128
author Piastra, Maria Carla
Nüßing, Andreas
Vorwerk, Johannes
Clerc, Maureen
Engwer, Christian
Wolters, Carsten H.
author_facet Piastra, Maria Carla
Nüßing, Andreas
Vorwerk, Johannes
Clerc, Maureen
Engwer, Christian
Wolters, Carsten H.
author_sort Piastra, Maria Carla
collection PubMed
description Signal‐to‐noise ratio (SNR) maps are a good way to visualize electroencephalography (EEG) and magnetoencephalography (MEG) sensitivity. SNR maps extend the knowledge about the modulation of EEG and MEG signals by source locations and orientations and can therefore help to better understand and interpret measured signals as well as source reconstruction results thereof. Our work has two main objectives. First, we investigated the accuracy and reliability of EEG and MEG finite element method (FEM)‐based sensitivity maps for three different head models, namely an isotropic three and four‐compartment and an anisotropic six‐compartment head model. As a result, we found that ignoring the cerebrospinal fluid leads to an overestimation of EEG SNR values. Second, we examined and compared EEG and MEG SNR mappings for both cortical and subcortical sources and their modulation by source location and orientation. Our results for cortical sources show that EEG sensitivity is higher for radial and deep sources and MEG for tangential ones, which are the majority of sources. As to the subcortical sources, we found that deep sources with sufficient tangential source orientation are recordable by the MEG. Our work, which represents the first comprehensive study where cortical and subcortical sources are considered in highly detailed FEM‐based EEG and MEG SNR mappings, sheds a new light on the sensitivity of EEG and MEG and might influence the decision of brain researchers or clinicians in their choice of the best modality for their experiment or diagnostics, respectively.
format Online
Article
Text
id pubmed-7856654
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley & Sons, Inc.
record_format MEDLINE/PubMed
spelling pubmed-78566542021-02-05 A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources Piastra, Maria Carla Nüßing, Andreas Vorwerk, Johannes Clerc, Maureen Engwer, Christian Wolters, Carsten H. Hum Brain Mapp Research Articles Signal‐to‐noise ratio (SNR) maps are a good way to visualize electroencephalography (EEG) and magnetoencephalography (MEG) sensitivity. SNR maps extend the knowledge about the modulation of EEG and MEG signals by source locations and orientations and can therefore help to better understand and interpret measured signals as well as source reconstruction results thereof. Our work has two main objectives. First, we investigated the accuracy and reliability of EEG and MEG finite element method (FEM)‐based sensitivity maps for three different head models, namely an isotropic three and four‐compartment and an anisotropic six‐compartment head model. As a result, we found that ignoring the cerebrospinal fluid leads to an overestimation of EEG SNR values. Second, we examined and compared EEG and MEG SNR mappings for both cortical and subcortical sources and their modulation by source location and orientation. Our results for cortical sources show that EEG sensitivity is higher for radial and deep sources and MEG for tangential ones, which are the majority of sources. As to the subcortical sources, we found that deep sources with sufficient tangential source orientation are recordable by the MEG. Our work, which represents the first comprehensive study where cortical and subcortical sources are considered in highly detailed FEM‐based EEG and MEG SNR mappings, sheds a new light on the sensitivity of EEG and MEG and might influence the decision of brain researchers or clinicians in their choice of the best modality for their experiment or diagnostics, respectively. John Wiley & Sons, Inc. 2020-11-06 /pmc/articles/PMC7856654/ /pubmed/33156569 http://dx.doi.org/10.1002/hbm.25272 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Piastra, Maria Carla
Nüßing, Andreas
Vorwerk, Johannes
Clerc, Maureen
Engwer, Christian
Wolters, Carsten H.
A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources
title A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources
title_full A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources
title_fullStr A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources
title_full_unstemmed A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources
title_short A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources
title_sort comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856654/
https://www.ncbi.nlm.nih.gov/pubmed/33156569
http://dx.doi.org/10.1002/hbm.25272
work_keys_str_mv AT piastramariacarla acomprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources
AT nußingandreas acomprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources
AT vorwerkjohannes acomprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources
AT clercmaureen acomprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources
AT engwerchristian acomprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources
AT wolterscarstenh acomprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources
AT piastramariacarla comprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources
AT nußingandreas comprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources
AT vorwerkjohannes comprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources
AT clercmaureen comprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources
AT engwerchristian comprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources
AT wolterscarstenh comprehensivestudyonelectroencephalographyandmagnetoencephalographysensitivitytocorticalandsubcorticalsources