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Master theses

Current and past ideas and concepts for Master Theses.

Simulating brain activity through the Kuramoto and/or Hopf model

Subject

Different models are available that allow us to simulate the functional connectivity patterns as observed in real MEG data. Many models start from an estimated structural connectivity, assume a local dynamics (e.g. Kuramoto oscillators) and some kind of long-range connectivity. These models all allow to simulate different features of brain activity. The goal in this thesis is to assess how well actual brain activity is simulated and to assess whether these models can be used to provide a more comprehensive description of the altered brain functionality we see in multiple sclerosis patients.

Kind of work

- Implementation of a neurocomputational model starting from existing code
- Assessment of goodness-of-fit of different models with respect to different features of brain activity
- Extensive comparison of different neurocomputational models

Framework of the Thesis

The AIMS research group (aims.research.vub.be) is an interdisciplinary research group within VUB that includes engineers, neurologists and psychologists. Its aim is to characterise and improve our understanding of how neurodegenerative diseases, such as multiple sclerosis and Alzheimer’s disease, affect brain functioning.

Expected Student Profile

• A strong interest in neuroimaging
• A strong interest in the inner workings of the brain
• Good programming skills

Promotor

Prof. Dr. Ir. Jeroen Van Schependom

+32 (0)02 629 104

jvansche@etrovub.be

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