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Abstract #3830

A novel statistical 3D cortical vascular network to simulate realistic hemodynamic changes in the human brain

Mario G. Báez-Yáñez1, Jeroen Siero1,2, and Natalia Petridou1
1Department of Radiology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands, 2Spinoza Centre for Neuroimaging Amsterdam, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands

We present a statistical 3D computational model that mimics the human cortical vascular network. This approach allows to study the hemodynamic changes and to simulate biophysical effects across the vascular network, as well as to investigate the dynamic BOLD fMRI signal formation. In order to extract quantitative parameters of the BOLD fMRI signal in humans, it is necessary to adopt a computational model that resembles the human cortical vasculature and mimics realistic hemodynamic fluctuations triggered by neurovascular coupling. Simulating the biophysical effects of tissue related to hemodynamic changes will provide accurate information on the origins of the BOLD signal time-course.

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