Cognitive deficits in Multiple sclerosis: from pathophysiology to treatment
Cognitive deficits are highly prevalent in multiple sclerosis patients, even in the early phases of the disease, and have a profound impact in patient’s wellbeing and quality of life. Their genesis is still poorly understood, but a contribution of both inflammatory and neurodegeneration components is highly likely. Detection of cognitive deficits relies on time-consuming tests, which are difficult to implement in clinical practice. Furthermore, there are almost no therapeutic options available. In this encompassing project we aim to explore the determinants of cognitive deficits in patients with multiple sclerosis, contribute to develop and validate patient- and physician-friendly methods for their detection and characterization (CogEval) and test novel treatment strategies, that are tailored to each individual patient, using a pharmaco-MRI approach (MODEFIMS).
Main Project Outcomes
S. Queirós, “Right ventricular segmentation in multi-view cardiac MRI using a unified U-net model”, in E. Puyol Antón et al. (eds) Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. STACOM 2021. Lecture Notes in Computer Science, vol 13131, pp. 287-295, Springer, Cham, 2022.
“Best Paper Award in the M&Ms-2 Challenge”, by M&Ms2 Challenge organizers and the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.