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10.1016/j.neuroimage.2015.11.060 http://scihub22266oqcxt.onion/10.1016/j.neuroimage.2015.11.060 C4758826!4758826 !26658925     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26658925 &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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26658925 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Neuroimage 2016 ; 127 (ä): 123-134 Nephropedia Template TP {{tp|p=26658925 |t=2016. Network mechanisms of intentional learning |pdf=|usr=}}{{26658925 }} gab.com Text Network mechanisms of intentional learning JO: Neuroimage http://www.kidney.de/pget.php?&tw=1&pmid=26658925 #FOAvip The ability to learn new tasks rapidly is a prominent characteristic of human behaviour. This ability relies on flexible cognitive systems that adapt in order to encode temporary programs for processing non-automated tasks. Previous functional imaging studies have revealed distinct roles for the lateral frontal cortices (LFCs) and the ventral striatum in intentional learning processes. However, the human LFCs are complex; they house multiple distinct sub-regions, each of which co-activates with a different functional network. It remains unclear how these LFC networks differ in their functions and how they coordinate with each other, and the ventral striatum, to support intentional learning. Here, we apply a suite of fMRI connectivity methods to determine how LFC networks activate and interact at different stages of two novel tasks, in which arbitrary stimulus-response rules are learnt either from explicit instruction or by trial-and-error. We report that the networks activate en masse and in synchrony when novel rules are being learnt from instruction. However, these networks are not homogeneous in their functions; instead, the directed connectivities between them vary asymmetrically across the learning timecourse and they disengage from the task sequentially along a rostro-caudal axis. Furthermore, when negative feedback indicates the need to switch to alternative stimulus-response rules, there is additional input to the LFC networks from the ventral striatum. These results support the hypotheses that LFC networks interact as a hierarchical system during intentional learning and that signals from the ventral striatum have a driving influence on this system when the internal program for processing the task is updated. Twit Text FOAVip Network mechanisms of intentional learning ????Neuroimage http://www.kidney.de/pget.php?&tw=1&pmid=26658925 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26658925 #FOAvip English Wikipedia <ref>{{Cite pmid|26658925 }}</ref> Network mechanisms of intentional learning #MMPMID26658925 Hampshire A ; Hellyer PJ ; Parkin B ; Hiebert N ; MacDonald P ; Owen AM ; Leech R ; Rowe J Neuroimage 2016[Feb]; 127 (ä): 123-134 PMID26658925 show ga The ability to learn new tasks rapidly is a prominent characteristic of human behaviour. This ability relies on flexible cognitive systems that adapt in order to encode temporary programs for processing non-automated tasks. Previous functional imaging studies have revealed distinct roles for the lateral frontal cortices (LFCs) and the ventral striatum in intentional learning processes. However, the human LFCs are complex; they house multiple distinct sub-regions, each of which co-activates with a different functional network. It remains unclear how these LFC networks differ in their functions and how they coordinate with each other, and the ventral striatum, to support intentional learning. Here, we apply a suite of fMRI connectivity methods to determine how LFC networks activate and interact at different stages of two novel tasks, in which arbitrary stimulus-response rules are learnt either from explicit instruction or by trial-and-error. We report that the networks activate en masse and in synchrony when novel rules are being learnt from instruction. However, these networks are not homogeneous in their functions; instead, the directed connectivities between them vary asymmetrically across the learning timecourse and they disengage from the task sequentially along a rostro-caudal axis. Furthermore, when negative feedback indicates the need to switch to alternative stimulus-response rules, there is additional input to the LFC networks from the ventral striatum. These results support the hypotheses that LFC networks interact as a hierarchical system during intentional learning and that signals from the ventral striatum have a driving influence on this system when the internal program for processing the task is updated. |*Brain Mapping [MESH] |Adult [MESH] |Frontal Lobe/*physiology [MESH] |Humans [MESH] |Image Processing, Computer-Assisted [MESH] |Learning/physiology [MESH] |Magnetic Resonance Imaging [MESH]Network mechanisms of intentional learning (epmc).pdf DeepDyve Pubget Overpricing