Reconstructing anatomy from electro-physiological data

López, J. D., Valencia, F., Flandin, G., Penny, W. ORCID: https://orcid.org/0000-0001-9064-1191 and Barnes, G. R. (2017) Reconstructing anatomy from electro-physiological data. NeuroImage, 163. pp. 480-486. ISSN 1053-8119

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Abstract

Here we show how it is possible to make estimates of brain structure based on MEG data. We do this by reconstructing functional estimates onto distorted cortical manifolds parameterised in terms of their spherical harmonics. We demonstrate that both empirical and simulated MEG data give rise to consistent and plausible anatomical estimates. Importantly, the estimation of structure from MEG data can be quantified in terms of millimetres from the true brain structure. We show, for simulated data, that the functional assumptions which are closer to the functional ground-truth give rise to anatomical estimates that are closer to the true anatomy.

Item Type:	Article
Faculty \ School:	Faculty of Social Sciences > School of Psychology
UEA Research Groups:	Faculty of Social Sciences > Research Centres > Centre for Behavioural and Experimental Social Sciences
Depositing User:	Pure Connector
Date Deposited:	16 Mar 2018 14:30
Last Modified:	20 Apr 2023 02:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/66519
DOI:	10.1016/j.neuroimage.2017.06.049

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