DocumentCode :
3212779
Title :
Cortical surface reconstruction based on MEG data and spherical harmonics
Author :
Lopez, Jose D. ; Troebinger, Luzia ; Penny, Will ; Espinosa, J.J. ; Barnes, G.R.
Author_Institution :
Electron. Eng. Dept., Univ. de Antioquia, Medellin, Colombia
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
6449
Lastpage :
6452
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.
Keywords :
Bayes methods; Fourier analysis; decomposition; electroencephalography; free energy; magnetoencephalography; stochastic processes; Bayesian model averaging; MEG-EEG data; cortical anatomy reconstruction; cortical surface reconstruction; free energy; metropolis search; spherical harmonic Fourier decomposition coefficients; stochastic methodology; Bayes methods; Brain modeling; Electroencephalography; Harmonic analysis; Image reconstruction; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6611031
Filename :
6611031
Link To Document :
بازگشت