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2015 ; 11
(12
): e1004608
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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
): e1004608
PMID26680762
show 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.