Development of a variational Bayesian expectation maximization (VBEM) method for model inversion of multi-area E/MEG model

Abbas Babajani-Feremi, Kourosh Jafari-Khouzani, Hamid Soltanian-Zadeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We develop and evaluate a variational Bayesian expectation maximization (VBEM) method for model inversion of our multi-area extended neural mass model (MEN) using EEG/MEG data. Parameters of MEN have suitable prior distributions that enable us to use properties of a conjugate-exponential model in implementing VBEM. Consequently, VBEM leads to analytically tractable forms that starts with initialization and consists of repeated iterations of a variational Bayesian expectation step (VB E-step) and a variational Bayesian maximization step (VB M-step). Posterior distributions of model parameters are updated in the VB M-step. Distribution of the hidden state is updated in the VB E-step using variational extended Kalman smoother. We evaluate and validate performance of VBEM method for model inversion of MEN using simulation studies in various signal-to-noise ratios. The proposed approach provides a useful technique for analyzing effective connectivity using non-invasive EEG and MEG methods.

Original languageEnglish (US)
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Pages964-968
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: Mar 30 2011Apr 2 2011

Other

Other2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
CountryUnited States
CityChicago, IL
Period3/30/114/2/11

Fingerprint

Electroencephalography
Signal-To-Noise Ratio
Signal to noise ratio

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Babajani-Feremi, A., Jafari-Khouzani, K., & Soltanian-Zadeh, H. (2011). Development of a variational Bayesian expectation maximization (VBEM) method for model inversion of multi-area E/MEG model. In 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 (pp. 964-968). [5872563] https://doi.org/10.1109/ISBI.2011.5872563

Development of a variational Bayesian expectation maximization (VBEM) method for model inversion of multi-area E/MEG model. / Babajani-Feremi, Abbas; Jafari-Khouzani, Kourosh; Soltanian-Zadeh, Hamid.

2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. 2011. p. 964-968 5872563.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Babajani-Feremi, A, Jafari-Khouzani, K & Soltanian-Zadeh, H 2011, Development of a variational Bayesian expectation maximization (VBEM) method for model inversion of multi-area E/MEG model. in 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11., 5872563, pp. 964-968, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11, Chicago, IL, United States, 3/30/11. https://doi.org/10.1109/ISBI.2011.5872563
Babajani-Feremi A, Jafari-Khouzani K, Soltanian-Zadeh H. Development of a variational Bayesian expectation maximization (VBEM) method for model inversion of multi-area E/MEG model. In 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. 2011. p. 964-968. 5872563 https://doi.org/10.1109/ISBI.2011.5872563
Babajani-Feremi, Abbas ; Jafari-Khouzani, Kourosh ; Soltanian-Zadeh, Hamid. / Development of a variational Bayesian expectation maximization (VBEM) method for model inversion of multi-area E/MEG model. 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. 2011. pp. 964-968
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