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10.1371/journal.pcbi.1004608 http://scihub22266oqcxt.onion/10.1371/journal.pcbi.1004608 C4682976!4682976!26680762     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+Comput+Biol 2015 ; 11 (12): ä Nephropedia Template TP {{tp|p=26680762|t=2015. Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy |pdf=|usr=}}{{26680762}} gab.com Text Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy JO: PLoS Comput Biol http://www.kidney.de/pget.php?&tw=1&pmid=26680762 #FOAvip The epileptic network is characterized by pathologic, seizure-generating ?foci? embedded in a web of structural and functional connections. Clinically, seizure foci are considered optimal targets for surgery. However, poor surgical outcome suggests a complex relationship between foci and the surrounding network that drives seizure dynamics. We developed a novel technique to objectively track seizure states from dynamic functional networks constructed from intracranial recordings. Each dynamical state captures unique patterns of network connections that indicate synchronized and desynchronized hubs of neural populations. Our approach suggests that seizures are generated when synchronous relationships near foci work in tandem with rapidly changing desynchronous relationships from the surrounding epileptic network. As seizures progress, topographical and geometrical changes in network connectivity strengthen and tighten synchronous connectivity near foci?a mechanism that may aid seizure termination. Collectively, our observations implicate distributed cortical structures in seizure generation, propagation and termination, and may have practical significance in determining which circuits to modulate with implantable devices. Twit Text FOAVip Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy ????PLoS Comput Biol http://www.kidney.de/pget.php?&tw=1&pmid=26680762 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26680762 #FOAvip English Wikipedia <ref>{{Cite pmid|26680762}}</ref> Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy #MMPMID26680762 Khambhati AN; Davis KA; Oommen BS; Chen SH; Lucas TH; Litt B; Bassett DS PLoS Comput Biol 2015[Dec]; 11 (12): ä PMID26680762show ga The epileptic network is characterized by pathologic, seizure-generating ?foci? embedded in a web of structural and functional connections. Clinically, seizure foci are considered optimal targets for surgery. However, poor surgical outcome suggests a complex relationship between foci and the surrounding network that drives seizure dynamics. We developed a novel technique to objectively track seizure states from dynamic functional networks constructed from intracranial recordings. Each dynamical state captures unique patterns of network connections that indicate synchronized and desynchronized hubs of neural populations. Our approach suggests that seizures are generated when synchronous relationships near foci work in tandem with rapidly changing desynchronous relationships from the surrounding epileptic network. As seizures progress, topographical and geometrical changes in network connectivity strengthen and tighten synchronous connectivity near foci?a mechanism that may aid seizure termination. Collectively, our observations implicate distributed cortical structures in seizure generation, propagation and termination, and may have practical significance in determining which circuits to modulate with implantable devices. äDynamic Network Drivers of Seizure Generation, Propagation and Termina(epmc).pdf DeepDyve Pubget Overpricing