Effects of Different Head Models in Wearable OPM-MEG

Cao, Fuzhi; An, Nan; Wang, Wenli; Xu, Weinan; Li, Wen; Wang, Chunhui; Xiang, Min; Gao, Yang; Ning, Xiaolin

doi:10.1109/tim.2022.3192287

Cited by 4 publications

(2 citation statements)

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“…In adults, the importance of the CSF inclusion in head modelling for EEG source analysis has been extensively investigated by many researchers (Cao et al, 2022;Dannhauer et al, 2009;Güllmar et al, 2010;Haueisen et al, 1997;Ramon et al, 2006;Stenroos & Nummenmaa, 2016;Vorwerk et al, 2014;Wendel et al, 2008). In a comprehensive study, Vorwerk et al (2014) found a strong CSF effect on EEG forward F I G U R E 1 4 Cortical surface plots for EEG source localization errors caused by additive Gaussian noise.…”

Section: Discussionmentioning

confidence: 99%

Assessing the effects of head modelling errors and measurement noise on EEG source localization accuracy in preterm newborns: A single‐subject study

Azizollahi

Aarabi

Kazemi

et al. 2023

Eur J of Neuroscience

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The accuracy of electroencephalogram (EEG) source localization is compromised because of head modelling errors. In this study, we investigated the effect of inaccuracy in the conductivity of head tissues and head model structural deficiencies on the accuracy of EEG source analysis in premature neonates. A series of EEG forward and inverse simulations was performed by introducing structural deficiencies into the reference head models to generate test models, which were then used to investigate head modelling errors caused by cerebrospinal fluid (CSF) exclusion, lack of grey matter (GM)–white matter (WM) distinction, fontanel exclusion and inaccuracy in skull conductivity. The modelling errors were computed between forward and inverse solutions obtained using the reference and test models generated for each deficiency. Our results showed that the exclusion of CSF from the head model had a strong widespread effect on the accuracy of the EEG source localization with position errors lower than 4.17 mm. The GM and WM distinction also caused strong localization errors (up to 3.5 mm). The exclusion of fontanels from the head model also strongly affected the accuracy of the EEG source localization for sources located beneath the fontanels with a maximum localization error of 4.37 mm. Similarly, inaccuracies in the skull conductivity caused errors in EEG forward and inverse modelling in sources beneath cranial bones. Our results indicate that the accuracy of EEG source imaging in premature neonates can be largely improved by using head models, which include not only the brain, skull and scalp but also the CSF, GM, WM and fontanels.

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Section: Discussionmentioning

confidence: 99%

Assessing the effects of head modelling errors and measurement noise on EEG source localization accuracy in preterm newborns: A single‐subject study

Azizollahi

Aarabi

Kazemi

et al. 2023

Eur J of Neuroscience

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show abstract

“…We used a three-layer piecewise homogeneous head model and the boundary element method (BEM) to compute the lead field matrix ( Mosher et al., 1999 ; Cao et al., 2022 ). The BEM computation was performed using OpenMEEG software ( Gramfort et al., 2010 ).…”

Section: Methodsmentioning

confidence: 99%