Modified MRI Anonymization (De-Facing) for Improved MEG Coregistration.
Modified MRI Anonymization (De-Facing) for Improved MEG Coregistration.
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DOI：
10.3390/bioengineering9100591
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发表时间：
2022-10-21
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Localising the sources of MEG/EEG signals often requires a structural MRI to create a head model, while ensuring reproducible scientific results requires sharing data and code. However, sharing structural MRI data often requires the face go be hidden to help protect the identity of the individuals concerned. While automated de-facing methods exist, they tend to remove the whole face, which can impair methods for coregistering the MRI data with the EEG/MEG data. We show that a new, automated de-facing method that retains the nose maintains good MRI-MEG/EEG coregistration. Importantly, behavioural data show that this “face-trimming” method does not increase levels of identification relative to a standard de-facing approach and has less effect on the automated segmentation and surface extraction sometimes used to create head models for MEG/EEG localisation. We suggest that this trimming approach could be employed for future sharing of structural MRI data, at least for those to be used in forward modelling (source reconstruction) of EEG/MEG data.
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影响因子：
--
作者：
Mattout J;Henson RN;Friston KJ
通讯作者：
Friston KJ
影响因子：
5.7
作者：
Hillebrand A;Barnes GR
通讯作者：
Barnes GR
影响因子：
4.8
作者：
Buimer EEL;Schnack HG;Caspi Y;van Haren NEM;Milchenko M;Pas P;Alzheimer's Disease Neuroimaging Initiative;Hulshoff Pol HE;Brouwer RM
通讯作者：
Brouwer RM
影响因子：
10.9
作者：
Budin, Francois;Zeng, Donglin;Bullitt, Elizabeth
通讯作者：
Bullitt, Elizabeth
影响因子：
5.7
作者：
Henson, R. N.;Mattout, J.;Friston, K. J.
通讯作者：
Friston, K. J.