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Master theses

Current and past ideas and concepts for Master Theses.

Transient brain dynamics


In this master thesis, you will characterise MEG signals using coherence connectivity dynamics (CCD). The histogram of the CCD contains valuable information about the time-dependencies of envelope phase dynamics. Once the CCD can be calculated for a single subject, you will be able to apply this method to 100 subjects affected by multiple sclerosis and 50 healthy controls. This will allow you to compare this method to other methods (e.g. static connectivity, hidden-markov model properties) and compare transient brain dynamics between the two cohorts of subjects.

One of the hypotheses on why the MS-affected brain seems to be better connected using functional MR imaging is that the MS-brain fails to switch between different ‘brain states’ efficiently. This analysis will be the first to assess these transient brain dynamics in MS using a high-quality dataset and processing techniques.

Kind of work

• implementation of coherence connectivity dynamics
• analysis and interpretation of CCD on a single-subject level
• comparison of CCD between two cohorts (multiple sclerosis vs healthy subjects)

Framework of the Thesis

The AIMS research group ( 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.

Number of Students


Expected Student Profile

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


Prof. Dr. Ir. Jeroen Van Schependom

+32 (0)02 629 104

more info


Ms. Chiara Rossi

+32 (0)2 629 2930

more info

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