期刊
NEUROIMAGE
卷 163, 期 -, 页码 480-486出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2017.06.049
关键词
MEG/EEG brain imaging; Brain anatomy; Negative variational free energy; Fourier spherical harmonics
资金
- BBSRC research grant [BB/M009645/1]
- MRC UK MEG Partnership Grant [MR/K005464/1]
- Wellcome Trust [203147/Z/16/Z]
- Colciencias project Evaluacion de la eficacia de modelos experimentales para la reintegracion politica y social de adultos con experiencia de combate en el marco del conflicto armado colombiano [FP44842-525-2014]
- Universidad de Antioquia
- FONDAP project [15110019]
- BBSRC [BB/M009645/1] Funding Source: UKRI
- MRC [MR/K005464/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/M009645/1] Funding Source: researchfish
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.
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