Simulation of fMRI signals to validate dynamic causal modeling estimation

Mobin Anandwala; Mohamad-Reza Siadat; Shamil M. Hadi

doi:10.1117/12.911072

17 April 2012 Simulation of fMRI signals to validate dynamic causal modeling estimation

Mobin Anandwala, Mohamad-Reza Siadat, Shamil M. Hadi

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Proceedings Volume 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging; 831702 (2012) https://doi.org/10.1117/12.911072
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

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.

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Mobin Anandwala, Mohamad-Reza Siadat, and Shamil M. Hadi "Simulation of fMRI signals to validate dynamic causal modeling estimation", Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 831702 (17 April 2012); https://doi.org/10.1117/12.911072

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KEYWORDS

Brain

Data modeling

Functional magnetic resonance imaging

Blood

Analytical research

Cognitive modeling

Hemodynamics

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