2013
DOI: 10.1371/journal.pone.0078854
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Alcohol Abuse Promotes Changes in Non-Synaptic Epileptiform Activity with Concomitant Expression Changes in Cotransporters and Glial Cells

Abstract: Non-synaptic mechanisms are being considered the common factor of brain damage in status epilepticus and alcohol intoxication. The present work reports the influence of the chronic use of ethanol on epileptic processes sustained by non-synaptic mechanisms. Adult male Wistar rats administered with ethanol (1, 2 e 3 g/kg/d) during 28 days were compared with Control. Non-synaptic epileptiform activities (NEAs) were induced by means of the zero-calcium and high-potassium model using hippocampal slices. The observe… Show more

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Cited by 12 publications
(1 citation statement)
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“…Interestingly, the neurophysiological changes were more effective in the lower ethanol dosage, suggesting that they are due to the less intense neurodegeneration. 2 In 2015, we verified how non-synaptic epileptiform activity in the hippocampal formation were affected by kainic acid administration and showed that elements involved in non-synaptic events are potential targets for drugs to treat neurological disorders where intrinsic excitability is a problem. 3 We then proposed simple rules for learning, inspired by recent machine learning insights and adapted to a realistic spiking neural network, and showed that the incorporation of non-synaptic interaction mechanisms improves cell assembly convergence.…”
mentioning
confidence: 92%
“…Interestingly, the neurophysiological changes were more effective in the lower ethanol dosage, suggesting that they are due to the less intense neurodegeneration. 2 In 2015, we verified how non-synaptic epileptiform activity in the hippocampal formation were affected by kainic acid administration and showed that elements involved in non-synaptic events are potential targets for drugs to treat neurological disorders where intrinsic excitability is a problem. 3 We then proposed simple rules for learning, inspired by recent machine learning insights and adapted to a realistic spiking neural network, and showed that the incorporation of non-synaptic interaction mechanisms improves cell assembly convergence.…”
mentioning
confidence: 92%