Integrated MEG/EEG and fMRI model based on neural masses

Abbas Babajani-Feremi, Hamid Soltanian-Zadeh

Research output: Contribution to journalArticle

50 Citations (Scopus)

Abstract

We introduce a bottom-up model for integrating electroencephalography (EEG) or magnetoencephalography (MEG) with functional magnetic resonance imaging (fMRI). An extended neural mass model is proposed based on the physiological principles of cortical minicolumns and their connections. The fMRI signal is extracted from the proposed neural mass model by introducing a relationship between the stimulus and the neural activity and using the resultant neural activity as input of the extended Balloon model. The proposed model, validated using simulations, is instrumental in evaluating the upcoming combined methods for simultaneous analysis of MEG/EEG and fMRI.

Original languageEnglish (US)
Article number1673621
Pages (from-to)1794-1801
Number of pages8
JournalIEEE Transactions on Biomedical Engineering
Volume53
Issue number9
DOIs
StatePublished - Sep 1 2006
Externally publishedYes

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Magnetoencephalography
Electroencephalography
Balloons
Magnetic Resonance Imaging

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

Cite this

Integrated MEG/EEG and fMRI model based on neural masses. / Babajani-Feremi, Abbas; Soltanian-Zadeh, Hamid.

In: IEEE Transactions on Biomedical Engineering, Vol. 53, No. 9, 1673621, 01.09.2006, p. 1794-1801.

Research output: Contribution to journalArticle

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