At the LCSB we apply such methods to many aspects of brain research. Be it on the molecular, cellular or whole brain level, computational models are at the core of LCSB’s work.
The team of Dr Alex Skupin has built models of the calcium signaling as well as energy production in mitochondria – the powerhouses of the cells. Researchers from the teams of Assistant Prof. Enrico Glaab and Prof. Reinhard Schneider have discovered several new genes implicated in Alzheimer’s disease and epilepsies, respectively. Prof. Antonio del Sol’s team was able to predict which molecular factors need to be changed to convert one cell type into another using computational models. In addition, our computer scientists around Prof. Jorge Goncalvez interact very closely with Prof. Frank Hertel, neurosurgeon at the Centre Hospitalier de Luxembourg, to develop better ways to place and adjust electrodes used for deep brain stimulation in Parkinson’s patients. In an ongoing project funded by the Michael J. Fox foundation LCSB researchers aim apply deep learning approaches to data from Parkinson’s patients to predict the evolution of the disease. These non-exhaustive examples of LCSB’s computational research show that modelling approaches form a central part in many of our research areas and go hand in hand with experimental work.