@article {MelozziENEURO.0111-17.2017, author = {Francesca Melozzi and Marmaduke M. Woodman and Viktor K. Jirsa and Christophe Bernard}, title = {The Virtual Mouse Brain: A Computational Neuroinformatics Platform to Study Whole Mouse Brain Dynamics}, elocation-id = {ENEURO.0111-17.2017}, year = {2017}, doi = {10.1523/ENEURO.0111-17.2017}, publisher = {Society for Neuroscience}, abstract = {Connectome-based modeling of large-scale brain network dynamics enables causal in silico interrogation of the brain{\textquoteright}s structure-function relationship, necessitating the close integration of diverse neuroinformatics fields. Here we extend the open-source simulation software The Virtual Brain to whole mouse brain network modeling based on individual diffusion Magnetic Resonance Imaging (dMRI)-based or tracer-based detailed mouse connectomes. We provide practical examples on how to use The Virtual Mouse Brain to simulate brain activity, such as seizure propagation and the switching behavior of the resting state dynamics in health and disease. The Virtual Mouse Brain enables theoretically driven experimental planning and ways to test predictions in the numerous strains of mice available to study brain function in normal and pathological conditions.Significance Statement The Virtual Mouse Brain, TVMB, represents a versatile and intuitive tool for virtualizing and simulating mouse whole brain dynamics using a connectome-based model approach. TVMB enables the construction of individual mouse brains using diffusion MRI experiments. TVMB also allows building detailed connectomes based on tracer experiments realised by the Allen Institute. Various modalities can be modeled (e.g. EEG and fMRI). The platform can be used to generate predictions that can be tested experimentally.}, URL = {https://www.eneuro.org/content/early/2017/06/12/ENEURO.0111-17.2017}, eprint = {https://www.eneuro.org/content/early/2017/06/12/ENEURO.0111-17.2017.full.pdf}, journal = {eNeuro} }