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10.1089/brain.2015.0361 http://scihub22266oqcxt.onion/10.1089/brain.2015.0361 C4779980!4779980!26414952     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Brain+Connect 2016 ; 6 (2): 95-8 Nephropedia Template TP {{tp|p=26414952|t=2016. Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses |pdf=|usr=}}{{26414952}} gab.com Text Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses JO: Brain Connect http://www.kidney.de/pget.php?&tw=1&pmid=26414952 #FOAvip Understanding the human brain remains the holy grail in biomedical science, and arguably in all of the sciences. Our brains represent the most complex systems in the world (and some contend the universe) comprising nearly 100 billion neurons with septillions of possible connections between them. The structure of these connections engenders an efficient hierarchical system capable of consciousness, as well as complex thoughts, feelings, and behaviors. Brain connectivity and network analyses have exploded over the last decade due to their potential in helping us understand both normal and abnormal brain function. Functional connectivity (FC) analysis examines functional associations between time series pairs in specified brain voxels or regions. Brain network analysis serves as a distinct subfield of connectivity analysis, in which associations are quantified for all time series pairs to create an interconnected representation of the brain (a brain network), which allows studying its systemic properties. While connectivity analyses underlie network analyses, the subtle distinction between the two research areas has generally been overlooked in the literature, with them often being referred to synonymously. However, developing more useful analytic methods and allowing for more precise biological interpretations require distinguishing these two complementary domains. Twit Text FOAVip Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses ????Brain Connect http://www.kidney.de/pget.php?&tw=1&pmid=26414952 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26414952 #FOAvip English Wikipedia <ref>{{Cite pmid|26414952}}</ref> Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses #MMPMID26414952 Simpson SL; Laurienti PJ Brain Connect 2016[Mar]; 6 (2): 95-8 PMID26414952show ga Understanding the human brain remains the holy grail in biomedical science, and arguably in all of the sciences. Our brains represent the most complex systems in the world (and some contend the universe) comprising nearly 100 billion neurons with septillions of possible connections between them. The structure of these connections engenders an efficient hierarchical system capable of consciousness, as well as complex thoughts, feelings, and behaviors. Brain connectivity and network analyses have exploded over the last decade due to their potential in helping us understand both normal and abnormal brain function. Functional connectivity (FC) analysis examines functional associations between time series pairs in specified brain voxels or regions. Brain network analysis serves as a distinct subfield of connectivity analysis, in which associations are quantified for all time series pairs to create an interconnected representation of the brain (a brain network), which allows studying its systemic properties. While connectivity analyses underlie network analyses, the subtle distinction between the two research areas has generally been overlooked in the literature, with them often being referred to synonymously. However, developing more useful analytic methods and allowing for more precise biological interpretations require distinguishing these two complementary domains. äDisentangling Brain Graphs: A Note on the Conflation of Network and Co(epmc).pdf DeepDyve Pubget Overpricing