Скачать или смотреть OHBM 2018 | Educational Course | Network Neuroscience: Concepts, Methods and Applications | Part 6

OHBM 2018 Educational Course
Course Title: Network Neuroscience: Concepts, Methods and Applications
Part 6
Talk title: Modules in structural and functional brain networks
Presenter: Rick Betzel
Course Description: Recent large-scale efforts to map neuronal connectivity in diverse species, including the nematode worm, fruit fly, mouse, macaque and human, have led to an explosion of data acquired using a diverse array of measurements techniques, and at scales ranging from the level of single cells to large brain areas. In parallel, rapid advances in the physics of complex networks have led to a new understanding of the organization and dynamics of systems of interacting elements, with nervous systems being but one example. The confluence of these approaches lies at the heart of network neuroscience, which is concerned with understanding how nervous systems function as integrated systems. Critically, network neuroscience offers one of the few unified frameworks for representing different kinds of brain imaging data, acquired in different species at different scales and with different measurement techniques, by modelling all nervous systems in their most abstract form: as collections of nodes connected by edges. This approach has already generated many novel insights into brain organization, showing for example that nervous systems across scales and species show a hierarchical, modular and smallworld organization, that they contain highly connected hubs, and that they are economically wired. As the field matures, tools and techniques developed in other areas of network science are being increasingly refined and adapted to the neuroscience context. As large-scale and high-quality data on brain connectivity become increasingly available, familiarity with the tools and techniques of network neuroscience is rapidly becoming an essential component of a neuroscientist’s training. This workshop will provide a comprehensive introduction to both historical applications and cutting-edge techniques, covering topics that span both basic and advanced concepts in the area. It will address issues associated with measurement and modelling, statistical analysis and applications to key questions in neuroscience.

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