Development of a variational scheme for model inversion of multi-area model of brain. Part I

Simulation evaluation

Abbas Babajani-Feremi, Hamid Soltanian-Zadeh

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

We previously developed an integrated model of the brain within a single cortical area for functional Magnetic Resonance Imaging (fMRI), electroencephalography (EEG), and magnetoencephalography (MEG) using an extended neural mass model (ENMM). We then extended ENMM from a single-area to a multi-area model to develop a neural mass model of the entire brain. To this end, we derived a nonlinear state-space representation of the multi-area model. In Parts I and II of these two companion papers (henceforth called Part I and Part II), we develop and evaluate a variational Bayesian expectation maximization (VBEM) method to estimate parameters of multi-area ENMM (MEN) using E/MEG data. In Part I, we derive a state-space representation of MEN and use VBEM method for model inversion (parameter estimation). We evaluate and validate performance of VBEM method for model inversion of MEN using simulation studies in various signal-to-noise ratios. Details of VBEM method are presented in Part II. The proposed approach provides a useful technique for analyzing effective connectivity using non-invasive EEG and MEG methods.

Original languageEnglish (US)
Pages (from-to)64-75
Number of pages12
JournalMathematical Biosciences
Volume229
Issue number1
DOIs
StatePublished - Jan 1 2011
Externally publishedYes

Fingerprint

Brain
Inversion
Magnetoencephalography
brain
Expectation Maximization
Evaluation
Simulation
Electroencephalography
State-space Representation
electroencephalography
Model
Signal-To-Noise Ratio
methodology
Functional Magnetic Resonance Imaging
Magnetic Resonance Imaging
Evaluate
Integrated Model
Parameter Estimation
magnetic resonance imaging
Parameter estimation

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

Cite this

Development of a variational scheme for model inversion of multi-area model of brain. Part I : Simulation evaluation. / Babajani-Feremi, Abbas; Soltanian-Zadeh, Hamid.

In: Mathematical Biosciences, Vol. 229, No. 1, 01.01.2011, p. 64-75.

Research output: Contribution to journalArticle

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