Literature DB >> 617260

Penicillin-induced epileptiform activity in the hippocampal in vitro prepatation.

P A Schwartzkroin, D A Prince.   

Abstract

An in vitro preparation has been developed in which epileptogenesis in mammalian central nervous system tissue may be studied. Addition of sodium penicillin to the medium bathing slices of guinea pig hippocampus induced epileptiform activity similar to that seen in hippocampal penicillin foci in vivo. Epileptiform events were recorded as synchronous field potentials and correlated cellular bursts that occurred spontaneously and could be triggered by orthodromic stimulation. Intracellular recordings revealed that bursts were generated from large depolarization shifts in some neurons, while in others, burst discharges had little underlying baseline depolarization. This finding, and the presence of fast prepotentials in penicillin-treated preparations, suggested the involvement of dendritic activity in generation of epileptiform discharges.

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Year:  1977        PMID: 617260     DOI: 10.1002/ana.410010510

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  31 in total

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3.  4-aminopyridine and barium chloride attenuate the anti-epileptic effect of carbamazepine in hippocampal slices.

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5.  Factors defining a pacemaker region for synchrony in the hippocampus.

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7.  Progressive, potassium-sensitive epileptiform activity in hippocampal area CA3 of pilocarpine-treated rats with recurrent seizures.

Authors:  Daniel P McCloskey; Helen E Scharfman
Journal:  Epilepsy Res       Date:  2011-08-30       Impact factor: 3.045

8.  Synchrony measures for biological neural networks.

Authors:  P F Pinsky; J Rinzel
Journal:  Biol Cybern       Date:  1995-07       Impact factor: 2.086

9.  Intrinsic and network rhythmogenesis in a reduced Traub model for CA3 neurons.

Authors:  P F Pinsky; J Rinzel
Journal:  J Comput Neurosci       Date:  1994-06       Impact factor: 1.621

10.  The cause of the imbalance in the neuronal network leading to seizure activity can be predicted by the electrographic pattern of the seizure onset.

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Journal:  J Neurosci       Date:  2009-03-18       Impact factor: 6.167

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