Investigation of the dynamic fingerprint of the BOLD fMRI signal based on a novel statistical 3D cortical vascular network of the human brain

13/08/2020: 14:20  - 15:05 
1311 
Combined Educational & Scientific Session 
Room: Thursday Parallel 4 
In
order to quantify the hemodynamic contributions to the BOLD fMRI signal in
humans, it is necessary to adopt a computational model that resembles the cortical
vasculature and mimics hemodynamic changes triggered by neurovascular coupling.
Moreover,
simulation of the local magnetic disturbance induced by the geometry, hemodynamic
changes, and the biophysical properties of the tissues can provide accurate insights
on the physiological fingerprint of the BOLD fMRI signal.
In
this work, based on a realistic 3D computational approach of the human cortical
vasculature, we simulate the biophysical effects produced by hemodynamic
changes to compute a dynamic BOLD fMRI signal response.

Author String

Mario G. Báez-Yáñez, Jeroen Siero, Natalia Petridou 

Institution String

UMC Utrecht, UMC Utrecht, Spinoza Centre for Neuroimaging Amsterdam, Royal Netherlands Academy of Arts and Sciences, UMC Utrecht 

Speaker

Mario G. Báez-Yáñez, University Medical Center Utrecht