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10.1093/gigascience/gix004 http://scihub22266oqcxt.onion/10.1093/gigascience/gix004 C5437946!5437946!28327916     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Gigascience 2017 ; 6 (5): 1-8 Nephropedia Template TP {{tp|p=28327916|t=2017. Multilayer modeling and analysis of human brain networks |pdf=|usr=}}{{28327916}} gab.com Text Multilayer modeling and analysis of human brain networks JO: Gigascience http://www.kidney.de/pget.php?&tw=1&pmid=28327916 #FOAvip Understanding how the human brain is structured, and how its architecture is related to function, is of paramount importance for a variety of applications, including but not limited to new ways to prevent, deal with, and cure brain diseases, such as Alzheimer?s or Parkinson?s, and psychiatric disorders, such as schizophrenia. The recent advances in structural and functional neuroimaging, together with the increasing attitude toward interdisciplinary approaches involving computer science, mathematics, and physics, are fostering interesting results from computational neuroscience that are quite often based on the analysis of complex network representation of the human brain. In recent years, this representation experienced a theoretical and computational revolution that is breaching neuroscience, allowing us to cope with the increasing complexity of the human brain across multiple scales and in multiple dimensions and to model structural and functional connectivity from new perspectives, often combined with each other. In this work, we will review the main achievements obtained from interdisciplinary research based on magnetic resonance imaging and establish de facto, the birth of multilayer network analysis and modeling of the human brain. Twit Text FOAVip Multilayer modeling and analysis of human brain networks ????Gigascience http://www.kidney.de/pget.php?&tw=1&pmid=28327916 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28327916 #FOAvip English Wikipedia <ref>{{Cite pmid|28327916}}</ref> Multilayer modeling and analysis of human brain networks #MMPMID28327916 De Domenico M Gigascience 2017[May]; 6 (5): 1-8 PMID28327916show ga Understanding how the human brain is structured, and how its architecture is related to function, is of paramount importance for a variety of applications, including but not limited to new ways to prevent, deal with, and cure brain diseases, such as Alzheimer?s or Parkinson?s, and psychiatric disorders, such as schizophrenia. The recent advances in structural and functional neuroimaging, together with the increasing attitude toward interdisciplinary approaches involving computer science, mathematics, and physics, are fostering interesting results from computational neuroscience that are quite often based on the analysis of complex network representation of the human brain. In recent years, this representation experienced a theoretical and computational revolution that is breaching neuroscience, allowing us to cope with the increasing complexity of the human brain across multiple scales and in multiple dimensions and to model structural and functional connectivity from new perspectives, often combined with each other. In this work, we will review the main achievements obtained from interdisciplinary research based on magnetic resonance imaging and establish de facto, the birth of multilayer network analysis and modeling of the human brain. äMultilayer modeling and analysis of human brain networks (epmc).pdf DeepDyve Pubget Overpricing