Introduction to null models in network neuroscience

COEX 

This introduction will provide a brief overview of the wide range of null models in network neuroscience and motivate their relevance. I will emphasise the spectrum of null models, from liberal models that control few network properties, to conservative models that recapitulate multiple properties of empirical networks. I will also highlight the fact that null models are a method of systematically sampling a larger space of potential networks, and situating the observed brain network in this space. These general ideas are relevant across different types of null models and analysis scenarios, which will be explored in greater detail in subsequent educational presentations.