00000caa a22000003a 4500 UP-8027390931312486725 Buklod 20170508135915.0 o--- | || || ta 170508s xx d r |||| u| (iLib)UPCEB-00010268485 emz eng BF 30 A56 2016 Sporns, Olaf. Modular brain networks. [article]. pp. 613-640 The development of new technologies for mapping structural and functional brain connectivity has led to the creation of comprehensive network maps of neuronal circuits and systems. The architecture of these brain networks can be examined and analyzed with a large variety of graph theory tools. Methods for detecting modules, or network communities, are of particular interest because they uncover major building blocks or subnetworks that are particularly densely connected, often corresponding to specializes functional components. A large number of methods for community detection have become available and are now widely applied in network neuroscience. This article first surveys a number of these methods, with an emphasis on their advantages and shortcomings; then it summarizes major findings on the existence of modules in both structural and functional roles in brain evolution, wiring minimization, and the emergence of functional specialization and complex dynamics. -- (from the authors) Betzel, Richard F. Connectome. Clustering. Functional connectivity. Graph theory. Hubs. Resting state. Annual Review of Psychology. vol. 67, 2016. Analytics