Abstract:
:There are now a number of non-invasive methods to image human brain function in-vivo. However, the accuracy of these images remains unknown and can currently only be estimated through the use of invasive recordings to generate a functional ground truth. Neuronal activity follows grey matter structure and accurate estimates of neuronal activity will have stronger support from accurate generative models of anatomy. Here we introduce a general framework that, for the first time, enables the spatial distortion of a functional brain image to be estimated empirically. We use a spherical harmonic decomposition to modulate each cortical hemisphere from its original form towards progressively simpler structures, ending in an ellipsoid. Functional estimates that are not supported by the simpler cortical structures have less inherent spatial distortion. This method allows us to compare directly between magnetoencephalography (MEG) source reconstructions based upon different assumption sets without recourse to functional ground truth.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Stevenson C,Brookes M,López JD,Troebinger L,Mattout J,Penny W,Morris P,Hillebrand A,Henson R,Barnes Gdoi
10.1016/j.neuroimage.2014.02.033subject
Has Abstractpub_date
2014-07-01 00:00:00pages
89-95eissn
1053-8119issn
1095-9572pii
S1053-8119(14)00148-7journal_volume
94pub_type
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