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10.1016/j.neuroimage.2013.07.035 http://scihub22266oqcxt.onion/10.1016/j.neuroimage.2013.07.035 C3912214!3912214!23876247     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=23876247&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Neuroimage 2014 ; 93 Pt 2 (ä): 276-91 Nephropedia Template TP {{tp|p=23876247|t=2014. An approach for parcellating human cortical areas using resting-state correlations |pdf=|usr=}}{{23876247}} gab.com Text An approach for parcellating human cortical areas using resting-state correlations JO: Neuroimage http://www.kidney.de/pget.php?&tw=1&pmid=23876247 #FOAvip Resting State Functional Connectivity (RSFC) reveals properties related to the brain?s underlying organization and function. Features related to RSFC signals, such as the locations where the patterns of RSFC exhibit abrupt transitions, can be used to identify putative boundaries between cortical areas (RSFC-Boundary Mapping). The locations of RSFC-based area boundaries are consistent across independent groups of subjects. RSFC-based parcellation converges with parcellation information from other modalities in many locations, including task-evoked activity and probabilistic estimates of cellular architecture, providing evidence for the ability of RSFC to parcellate brain structures into functionally meaningful units. We not only highlight a collection of these observations, but also point out several limitations and observations that mandate careful consideration in using and interpreting RSFC for the purposes of parcellating the brain?s cortical and subcortical structures. Twit Text FOAVip An approach for parcellating human cortical areas using resting-state correlations ????Neuroimage http://www.kidney.de/pget.php?&tw=1&pmid=23876247 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=23876247 #FOAvip English Wikipedia <ref>{{Cite pmid|23876247}}</ref> An approach for parcellating human cortical areas using resting-state correlations #MMPMID23876247 Wig GS; Laumann TO; Petersen SE Neuroimage 2014[Jun]; 93 Pt 2 (ä): 276-91 PMID23876247show ga Resting State Functional Connectivity (RSFC) reveals properties related to the brain?s underlying organization and function. Features related to RSFC signals, such as the locations where the patterns of RSFC exhibit abrupt transitions, can be used to identify putative boundaries between cortical areas (RSFC-Boundary Mapping). The locations of RSFC-based area boundaries are consistent across independent groups of subjects. RSFC-based parcellation converges with parcellation information from other modalities in many locations, including task-evoked activity and probabilistic estimates of cellular architecture, providing evidence for the ability of RSFC to parcellate brain structures into functionally meaningful units. We not only highlight a collection of these observations, but also point out several limitations and observations that mandate careful consideration in using and interpreting RSFC for the purposes of parcellating the brain?s cortical and subcortical structures. äAn approach for parcellating human cortical areas using resting-state (epmc).pdf DeepDyve Pubget Overpricing