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10.1146/annurev-psych-122414-033634 http://scihub22266oqcxt.onion/10.1146/annurev-psych-122414-033634 C4782188!4782188 !26393868     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26393868 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Annu+Rev+Psychol 2016 ; 67 (ä): 613-40 Nephropedia Template TP {{tp|p=26393868 |t=2016. Modular Brain Networks |pdf=|usr=}}{{26393868 }} gab.com Text Modular Brain Networks JO: Annu Rev Psychol http://www.kidney.de/pget.php?&tw=1&pmid=26393868 #FOAvip 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 specialized 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 brain networks and briefly considers their potential functional roles in brain evolution, wiring minimization, and the emergence of functional specialization and complex dynamics. Twit Text FOAVip Modular Brain Networks ????Annu Rev Psychol http://www.kidney.de/pget.php?&tw=1&pmid=26393868 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26393868 #FOAvip English Wikipedia <ref>{{Cite pmid|26393868 }}</ref> Modular Brain Networks #MMPMID26393868 Sporns O ; Betzel RF Annu Rev Psychol 2016[]; 67 (ä): 613-40 PMID26393868 show ga 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 specialized 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 brain networks and briefly considers their potential functional roles in brain evolution, wiring minimization, and the emergence of functional specialization and complex dynamics. |*Brain Mapping [MESH] |Brain/*physiology [MESH] |Humans [MESH]Modular Brain Networks (epmc).pdf DeepDyve Pubget Overpricing