Network comparison of epileptogenic human cortex and excited rat cortex.

Network comparison of epileptogenic human cortex and excited rat cortex. Research Abstract Details 

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Network comparison of epileptogenic human cortex and excited rat cortex. Abstract Text:

Jodi L Smith,Jon Hobbs,Aonan Tang,David Jackson,Wei Chen,Hema Patel,Anita Prieto,Alexander Sher,Alan Litke,John M Beggs,

Introduction Epileptogenicity of neuronal tissues requires both altered excitability and altered synchronization of neurons. However, the network-level mechanisms responsible for neuronal hyperexcitability and synchronization remain unknown, and there is much to learn regarding how even small networks of neurons interact. The present study examines local and network properties of cortical neurons from epileptogenic human and excited ("epileptic") rat cortex. Methods Epileptogenic cortex was harvested from pediatric patients with medically refractory seizures undergoing resective surgery. Local field potential signals (LFPs) were recorded continuously for up to several hours with a 60-channel microelectrode array. We also recorded LFPs from slices and organotypic and dissociated cultures of rat cortex bathed in high K+ and low Mg++. We then compared the human and rat data, applied a second-order maximum entropy model (MEM) to the data, and explored how well the MEM predicted sequences of correlated states over time. Results Both human and rat cortex produced LFP signals in the form of interictal spikes on almost all electrodes. However, only human cortex demonstrated spontaneous activity in normal cerebrospinal fluid, and the LFPs from human cortex showed greater synchrony across electrodes than the rat LFPs. Moreover, when a second-order MEM was applied to human and rat data, the model accounted for roughly 88% of network correlations. However, in 8/13 preparations the observed sequences of correlated states were significantly longer than predicted by independently concatenating states from the model, suggesting that temporal dependencies are a common feature of cortical network activity. Conclusion Excited slices of rat cortex fail to capture some important features of network activity found in epileptogenic human cortex. Furthermore, a second-order MEM successfully predicts correlated states in cortical networks, but not their evolution over time. Thus, higher-order MEMs are necessary to account for temporal correlations observed between states.

Network comparison of epileptogenic human cortex and excited rat cortex. Publishing Authors By Initials

JL Smith,J Hobbs,A Tang,D Jackson,W Chen,H Patel,A Prieto,A Sher,A Litke,JM Beggs,

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Network comparison of epileptogenic human cortex and excited rat cortex. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Journal of neurosurgery. Pediatrics

VOLUME: 1

Page Numbers: A351-2

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ISSN: 1933-0707

DAY: 1

MONTH: Apr

YEAR: 2008

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LANGUAGE: eng

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Country: United States

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MEDLINETA: J Neurosurg Pediatrics

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