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10.1038/nmeth.3098 http://scihub22266oqcxt.onion/10.1038/nmeth.3098 C4180802!4180802 !25194848     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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\25194848 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Nat+Methods 2014 ; 11 (10 ): 1058-63 Nephropedia Template TP {{tp|p=25194848 |t=2014. Evaluation and statistical inference for human connectomes |pdf=|usr=}}{{25194848 }} gab.com Text Evaluation and statistical inference for human connectomes JO: Nat Methods http://www.kidney.de/pget.php?&tw=1&pmid=25194848 #FOAvip Diffusion-weighted imaging coupled with tractography is currently the only method for in vivo mapping of human white-matter fascicles. Tractography takes diffusion measurements as input and produces the connectome, a large collection of white-matter fascicles, as output. We introduce a method to evaluate the evidence supporting connectomes. Linear fascicle evaluation (LiFE) takes any connectome as input and predicts diffusion measurements as output, using the difference between the measured and predicted diffusion signals to quantify the prediction error. We use the prediction error to evaluate the evidence that supports the properties of the connectome, to compare tractography algorithms and to test hypotheses about tracts and connections. Twit Text FOAVip Evaluation and statistical inference for human connectomes ????Nat Methods http://www.kidney.de/pget.php?&tw=1&pmid=25194848 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25194848 #FOAvip English Wikipedia <ref>{{Cite pmid|25194848 }}</ref> Evaluation and statistical inference for human connectomes #MMPMID25194848 Pestilli F ; Yeatman JD ; Rokem A ; Kay KN ; Wandell BA Nat Methods 2014[Oct]; 11 (10 ): 1058-63 PMID25194848 show ga Diffusion-weighted imaging coupled with tractography is currently the only method for in vivo mapping of human white-matter fascicles. Tractography takes diffusion measurements as input and produces the connectome, a large collection of white-matter fascicles, as output. We introduce a method to evaluate the evidence supporting connectomes. Linear fascicle evaluation (LiFE) takes any connectome as input and predicts diffusion measurements as output, using the difference between the measured and predicted diffusion signals to quantify the prediction error. We use the prediction error to evaluate the evidence that supports the properties of the connectome, to compare tractography algorithms and to test hypotheses about tracts and connections. |Algorithms [MESH] |Brain Mapping/methods [MESH] |Brain/*pathology [MESH] |Cognition [MESH] |Computational Biology/*methods [MESH] |Connectome/*methods [MESH] |Data Interpretation, Statistical [MESH] |Humans [MESH] |Magnetic Resonance Imaging/methods [MESH] |Nerve Fibers, Myelinated/*physiology [MESH] |Probability [MESH] |Reproducibility of Results [MESH] |Software [MESH]Evaluation and statistical inference for human connectomes (epmc).pdf DeepDyve Pubget Overpricing