Modelling neural network dynamics underlying movements in health and disease
Using computational models based on data from modalities that yield high temporal as well as spatial resolution (EEG and MEG), the causal role of cortical network connectivity in motor control will be analysed. The models will help to understand the neurobiological basis of actions, how ageing and neurological diseases impair the coordinated interaction between cortical motor areas, and how changes in network node activity and connectivity relate to impaired motor behaviour. The simulation results may thus inform the development of novel treatment strategies for neurological diseases by the remedy of dysfunctional network activity.
©Forschungszentrum Jülich / Sascha Kreklau