UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Reconstructing anatomy from electro-physiological data

Lopez, JD; Valencia, F; Flandin, G; Penny, W; Barnes, GR; (2017) Reconstructing anatomy from electro-physiological data. NeuroImage , 163 pp. 480-486. 10.1016/j.neuroimage.2017.06.049. Green open access

[img]
Preview
Text
Reconstructing anatomy from electro-physiological data.pdf - ["content_typename_Published version" not defined]

Download (2MB) | Preview

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.

Type: Article
Title: Reconstructing anatomy from electro-physiological data
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neuroimage.2017.06.049
Publisher version: http://dx.doi.org/10.1016/j.neuroimage.2017.06.049
Language: English
Additional information: © 2017 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Neurosciences, Neuroimaging, Radiology, Nuclear Medicine & Medical Imaging, Neurosciences & Neurology, MEG/EEG brain imaging, Brain anatomy, Negative variational free energy, Fourier spherical harmonics, FREE-ENERGY, BRAIN, MEG, REPRESENTATION, APPROXIMATION, EEG
UCL classification: 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: http://discovery.ucl.ac.uk/id/eprint/1566046
Downloads since deposit
51Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item