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Proceedings Paper

Multi-area integrated E/MEG and fMRI modeling
Author(s): Abbas Babajani-Feremi; Susan Bowyer; John Moran; Kost Elisevich; Kenneth Podell; Hamid Soltanian-Zadeh
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Paper Abstract

Functional magnetic resonance imaging (fMRI) has complementary spatiotemporal resolution compared to Electroencephalography (EEG) as well as Magnetoencephalography (MEG). Thus, their integrated analysis should improve the overall resolution. To integrate analysis of E/MEG and fMRI, we extend our previously proposed integrated E/MEG and fMRI neural mass model to a multi-area model by defining two types of connections: the Short-Range Connections (SRCs) between minicolumns within the areas and Long-Range Connections (LRCs) between inter-areas minicolumns. The nonlinear input/output relationship in the proposed model is derived from the state space representation of the multi-area model. The E/MEG signals are originated from the overall synaptic activities of the pyramidal cells of all minicolumns and can be calculated using the lead field matrix (i.e., forward electromagnetic model). The fMRI signal is extracted from the proposed integrated model by calculating the overall neural activities in the areas and using it as the input of the extended balloon model (EBM). Using the simulation results, the capabilities of the proposed model to generate E/MEG and fMRI signals is shown. In addition, changes in the dynamics of the model to variations of its parameters were evaluated and lead us to the appropriate ranges for the parameters. In conclusion, this work proposes an effective method to integrate E/MEG and fMRI for the more effective use of these techniques in functional neuroimaging.

Paper Details

Date Published: 27 February 2009
PDF: 11 pages
Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72621V (27 February 2009); doi: 10.1117/12.813801
Show Author Affiliations
Abbas Babajani-Feremi, Henry Ford Hospital (United States)
Susan Bowyer, Henry Ford Hospital (United States)
John Moran, Henry Ford Hospital (United States)
Kost Elisevich, Henry Ford Hospital (United States)
Kenneth Podell, Henry Ford Hospital (United States)
Hamid Soltanian-Zadeh, Henry Ford Hospital (United States)
Univ. of Tehran (Iran, Islamic Republic of)

Published in SPIE Proceedings Vol. 7262:
Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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