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Network analysis of large-scale human neuroimaging data

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Neuroimaging provides an invaluable non-invasive technique to study the brain’s function in health and disease. Brain networks provide a promising approach to understanding both cognition and the development of healthy brains, as well as, the changes observed in brain disorders. Session 1 Introduction to the field of network neuroscience Description of different approaches to modelling the brain as a network Discuss how brain network approaches might be used to diagnose schizophrenia Session 2 Discuss the challenges of applying graph theory to EEG /MEG data Describe novel methods to overcome some of those challenges Results from work applying these methods to answer cognitive questions

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Webinar & FW11, Computer Laboratory, William Gates Building. Average on weekdays: 8923.64187867 kWh Lecture Theatre, CRUK Cambridge Research Institute

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