Literature DB >> 24111218

Cortical surface reconstruction based on MEG data and spherical harmonics.

Jose D Lopez, Luzia Troebinger, Will Penny, Jairo J Espinosa, Gareth R Barnes.   

Abstract

Estimates of coefficients of a spherical harmonic Fourier decomposition of the cortical surface can be obtained solely using MEG/EEG data and free energy as objective function. A stochastic methodology based on a Metropolis Search followed by a Bayesian Model Averaging is proposed to reconstruct cortical anatomy based functional information.

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Mesh:

Year:  2013        PMID: 24111218     DOI: 10.1109/EMBC.2013.6611031

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Reconstructing anatomy from electro-physiological data.

Authors:  J D López; F Valencia; G Flandin; W Penny; G R Barnes
Journal:  Neuroimage       Date:  2017-07-04       Impact factor: 6.556

2.  Using generative models to make probabilistic statements about hippocampal engagement in MEG.

Authors:  Sofie S Meyer; Holly Rossiter; Matthew J Brookes; Mark W Woolrich; Sven Bestmann; Gareth R Barnes
Journal:  Neuroimage       Date:  2017-01-25       Impact factor: 6.556

3.  Algorithmic procedures for Bayesian MEG/EEG source reconstruction in SPM.

Authors:  J D López; V Litvak; J J Espinosa; K Friston; G R Barnes
Journal:  Neuroimage       Date:  2013-09-13       Impact factor: 6.556

4.  Quantifying the performance of MEG source reconstruction using resting state data.

Authors:  Simon Little; James Bonaiuto; Sofie S Meyer; Jose Lopez; Sven Bestmann; Gareth Barnes
Journal:  Neuroimage       Date:  2018-07-17       Impact factor: 6.556

  4 in total

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