Abstract：
:There is uncertainty introduced when a cortical surface based model derived from an anatomical MRI is used to reconstruct neural activity with MEG data. This is a specific case of a problem with uncertainty in parameters on which M/EEG lead fields depend non-linearly. Here we present a general mathematical treatment of any such problem with a particular focus on co-registration. We use a Metropolis search followed by Bayesian Model Averaging over multiple sparse prior source inversions with different headlocation/orientation parameters. Based on MEG data alone we can locate the cortex to within 4mm at empirically realistic signal to noise ratios. We also show that this process gives improved posterior distributions on the estimated current distributions, and can be extended to make inference on the locations of local maxima by providing confidence intervals for each source.
journal_name
Neuroimagejournal_title
NeuroImageauthors
López JD,Penny WD,Espinosa JJ,Barnes GRdoi
10.1016/j.neuroimage.2012.01.077subject
Has Abstractpub_date
2012-04-02 00:00:00pages
1194-204issue
2eissn
1053-8119issn
1095-9572pii
S1053-8119(12)00094-8journal_volume
60pub_type
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