Oxygen and seizure dynamics: II. Computational modeling

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Oxygen and seizure dynamics: II. Computational modeling.

Electrophysiological recordings show intense neuronal firing during epileptic seizures leading to enhanced energy consumption. However, the relationship between oxygen metabolism and seizure patterns has not been well studied. Recent studies have developed fast and quantitative techniques to measure oxygen microdomain concentration during seizure events. In this article, we develop a biophysica...

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TITLE : Oxygen and Seizure Dynamics : II . Computational Modeling 2 ABBREVIATED TITLE : Oxygen and Seizure Dynamics : II . Modeling

19 Electrophysiological recordings show intense neuronal firing during epileptic seizures leading to enhanced 20 energy consumption. However, the relationship between oxygen metabolism and seizure patterns has not 21 been well studied. Recent studies have developed fast and quantitative techniques to measure oxygen 22 microdomain concentration during seizure events. In this paper, we develop a ...

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TITLE : Oxygen and Seizure Dynamics : I . Experiments 2 ABBREVIATED TITLE : Oxygen and Seizure Dynamics : I . Experiments

22 We utilized a novel ratiometric nano quantum dot fluorescence resonance energy transfer (NQD-FRET) 23 optical sensor to quantitatively measure oxygen dynamics from single cell microdomains during hypoxic 24 episodes as well as during 4-aminopyridine (4AP) induced spontaneous seizure-like events in rat hip25 pocampal slices. Coupling oxygen sensing with electrical recordings, we found the gre...

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Oxygen and seizure dynamics: I. Experiments.

We utilized a novel ratiometric nanoquantum dot fluorescence resonance energy transfer (NQD-FRET) optical sensor to quantitatively measure oxygen dynamics from single cell microdomains during hypoxic episodes as well as during 4-aminopyridine (4-AP)-induced spontaneous seizure-like events in rat hippocampal slices. Coupling oxygen sensing with electrical recordings, we found the greatest reduct...

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Computational Modeling of Seizure Dynamics Using Coupled Neuronal Networks: Factors Shaping Epileptiform Activity

Epileptic seizure dynamics span multiple scales in space and time. Understanding seizure mechanisms requires identifying the relations between seizure components within and across these scales, together with the analysis of their dynamical repertoire. Mathematical models have been developed to reproduce seizure dynamics across scales ranging from the single neuron to the neural population. In t...

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ژورنال

عنوان ژورنال: Journal of Neurophysiology

سال: 2014

ISSN: 0022-3077,1522-1598

DOI: 10.1152/jn.00541.2013