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Does function fit structure? A ground truth for non-invasive neuroimaging.

Stevenson, C; Brookes, M; López, JD; Troebinger, L; Mattout, J; Penny, W; Morris, P; ... Barnes, G; + view all (2014) Does function fit structure? A ground truth for non-invasive neuroimaging. Neuroimage , 94 pp. 89-95. 10.1016/j.neuroimage.2014.02.033. Green open access

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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.

Type: Article
Title: Does function fit structure? A ground truth for non-invasive neuroimaging.
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neuroimage.2014.02.033
Publisher version: http://dx.doi.org/10.1016/j.neuroimage.2014.02.033
Additional information: © 2014 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/1425024
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