Computational Models of Neurological DisorderVirtual Brain for neurological disease modeling

Neurological disorders are often characterized by alterations in multiple brain regions; i.e. they should be studied at the organ level. Neuroimaging techniques allow extracting information at the whole brain level, but a conceptual framework is lacking to interpret neuroimaging data. The Virtual Brain (for humans) and its extension The Virtual Mouse Brain (for rodents) can provide such a framework. These platforms enable the virtualization of individual brains based on Diffusion-weighted Tensor Imaging, thus allowing studying whole brain dynamics in silico. In addition to the analysis structure/function relationships, the models can be used to generate testable predictions, including in the clinic to improve patient's care.