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Proceedings Paper

Simulation of fMRI signals to validate dynamic causal modeling estimation
Author(s): Mobin Anandwala; Mohamad-Reza Siadat; Shamil M. Hadi
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Paper Abstract

Through cognitive tasks certain brain areas are activated and also receive increased blood to them. This is modeled through a state system consisting of two separate parts one that deals with the neural node stimulation and the other blood response during that stimulation. The rationale behind using this state system is to validate existing analysis methods such as DCM to see what levels of noise they can handle. Using the forward Euler's method this system was approximated in a series of difference equations. What was obtained was the hemodynamic response for each brain area and this was used to test an analysis tool to estimate functional connectivity between each brain area with a given amount of noise. The importance of modeling this system is to not only have a model for neural response but also to compare to actual data obtained through functional imaging scans.

Paper Details

Date Published: 18 April 2012
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Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 831702 (18 April 2012); doi: 10.1117/12.911072
Show Author Affiliations
Mobin Anandwala, Oakland Univ. (United States)
Mohamad-Reza Siadat, Oakland Univ. (United States)
Shamil M. Hadi, Oakland Univ. (United States)


Published in SPIE Proceedings Vol. 8317:
Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

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