Postdoctoral Research Assistant
My central research interest is the development and application of magnetic resonance methods for neuroimaging to study the structural architecture of the brain. More specifically, I have been working on the analysis of data acquired using diffusion-weighted imaging to study the anatomical connectivity of the brain both non-invasively and in vivo. Such a combination of methodological aspects with neuroanatomy helps to improve and advance our understanding of the architectural organization of the human brain in health and disease alike.
Diffusion imaging has been successfully introduced in both clinical and neuroscientific settings, to study neurological disorders (i.e. acute stroke) as well as the brains connectivity. Since its first application, the field related to this technique has experienced an exponential growth in terms of publications and applications. Furthermore, new techniques are constantly being developed to improve the reliability of the way in which we infer the white matter connectivity of the brain.
Recent developments have shown that, by using diffusion imaging, it is possible to infer not just the macroscopic organization of white matter, but also its microscopic properties such as axonal diameters. This can be used once more to improve the models of brain connectivity and the early diagnosis of certain neurological diseases.
The main goal of my research is to combine both the micro and the macroscopic information which can be obtained by diffusion imaging to reconstruct a reliable model of brain’s white matter organization both at its micro and macro-structural level.
Vogel K. et al, (2016), Neuroimage Clin, 11, 614 - 621
Bastiani M. et al, (2016), Front Neurosci, 10
Timmers I. et al, (2016), PLoS One, 11
Timmers I. et al, (2015), J Inherit Metab Dis, 38, 295 - 304
Timmers I. et al, (2015), Journal of Inherited Metabolic Disease, 38, 295 - 304