Experimental validation of new neuro-vascular fractional modelApply
The neurovascular coupling is a key mechanism linking the neural activity to the hemodynamic behavior. Modeling of this coupling is very important to understand the brain function but it is at the same time very complex due to the complexity of the involved phenomena. Many studies have reported a time delay between the neural activity and the cerebral blood flow, which has been described by adding a delay parameter in some of the existing models. An alternative approach has been recently proposed where a fractional system is used to model the neurovascular coupling. Thanks to its nonlocal property, a fractional derivative is suitable for modeling phenomena with delay. The model has been validated with extensive simulation study.In this project, the student will validate the neuro-vascular fractional model using real cerebral blood flow and Blood Oxygen Level Dependent (BOLD) measurements. This work will be conducted with our collaborators from Ghent University.
Program - Electrical Engineering
Division - Computer, Electrical and Mathematical Sciences and Engineering
Center Affiliation - Computational Bioscience Research Center
Field of Study - Electrical engineering/ Applied Mathematics
Associate Professor, Electrical and Computer Engineering
Professor Laleg-Kirati's research interests encompass work across the fields of applied mathematics, control systems, and signal analysis. She works on new methods for signal analysis based on a semi-classical approach with an application to the analysis of the arterial blood pressure. Laleg-Kirati is also interested in modeling, identification, control, fault detection, inverse problems and especially seismic inversion and has expertise in solitons waves and scattering theory.
Desired Project Deliverables
Expect to submit a paper on this experimental validation