Modeling Neurovascular Coupling in the Human Brain

  by   Alberto Coccarelli






Departments Mechanical Engineering, Zienkiewicz Institute for Modelling, Data and AI
DescriptionThis project aims to develop a computational model of neurovascular coupling (NVC), the process linking neural activity to cerebral blood flow, which is fundamental for understanding brain function and interpreting neuroimaging data (such as fMRI). The work will involve integrating biophysical principles to simulate the dynamic interactions between neurons, blood vessels and astrocytes. The project will use existing experimental data to calibrate and validate the model, exploring key mechanisms such as metabolic demand, vasoactive signaling, and blood flow regulation. The outcomes will help elucidate how disruptions in NVC contribute to neurological disorders, providing potential insights for clinical applications. This project is ideal for students with an interest in computational biomedical engineering and systems biology and offers a great opportunity to contribute to a growing field with broad interdisciplinary significance.
PreparationThis project requires excellent analytical skills and is ideal for students with a strong background in mathematics, physics and dynamical systems. Proficiency in computational methods and programming (possibly in Python) is also required but no prior knowledge on biology is necessary.
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Level of Studies

Level 6 (Undergraduate Year 3) yes
Level 7 (Masters) yes
Level 8 (PhD) yes