46 results
to develop and explore measuring methods using conventional smartphones to quantify fatigue, disease activity, and short term and long progression in a day-to-day setting in patients with MS. Key research questions: - Are the NeuroKeys and MS Sherpa…
To assess activated microglia in vivo in clinically and/or radiologically active RRMS patients compared to healthy controls using the PET-tracer [11C]SMW139, to assess retest variability in regional [11C]SMW139 brain uptake, and to evaluate which…
The aim of the present study is to examine whether MS patients report a significant higher amount of behavioural problems compared to the normal population and another patient group diagnosed with a non CNS-involved chronic disease (patients with…
To identify determinants that explain phenotypic variability in MS while excluding age as a confounding factor and to detect determinants which may guide intervention strategies and predict the disease course in MS.
Technological developments such as smartphones and consumer wearable devices (i.e. the Fitbit) provide novel opportunities for selfmonitoring of people with chronic diseases.Here, we aim to gain insight into the use of these technologies for studies…
The main objective of this project is to build a comprehensive model for a better predictio n of progression in MS, as a first step to move towards personalized prediction. Secondary objectives aim to study specific aspects of underlying mechanisms…