{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Stevenson C"],"funding":["MRC UK MEG Partnership Grant","Leverhulme Trust Early Career Fellowship","J Jacob Astor Charitable Trust","Medical Research Council","Wellcome Trust","MRC"],"pagination":["89-95"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4073649"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["94"],"pubmed_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 cort"],"journal":["NeuroImage"],"pubmed_title":["Does function fit structure? A ground truth for non-invasive neuroimaging."],"pmcid":["PMC4073649"],"funding_grant_id":["MR/K005464/1","091593","MC_US_A060_0046","MC_U105579226"],"pubmed_authors":["Stevenson C","Barnes G","Morris P","Henson R","Troebinger L","Penny W","Lopez JD","Mattout J","Brookes M","Hillebrand A"],"additional_accession":[]},"is_claimable":false,"name":"Does function fit structure? A ground truth for non-invasive neuroimaging.","description":"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 cort","dates":{"release":"2014-01-01T00:00:00Z","publication":"2014 Jul","modification":"2025-06-01T00:33:01.083Z","creation":"2025-06-01T00:33:01.083Z"},"accession":"S-EPMC4073649","cross_references":{"pubmed":["24636880"],"doi":["10.1016/j.neuroimage.2014.02.033"]}}