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Published on: May 16, 2019
Lithium affects rat hippocampal electrophysiology and epileptic seizures in a dose dependent manner
Guohui Jiang1, Tianqiang Pu2, Zhimin Li1
1Department of Neurology, Institute of Neurological Diseases, Affiliated Hospital of North Sichuan Medical College, 63 Wenhua Road, Nanchong 637000, China.
Abstract:
Lithium, a classic mood stabilizer, prevents apoptosis-dependent cellular death and has garnered considerable interest as a neuroprotective agent that is efficacious in the treatment of many neurological diseases. However, the effects of lithium in epilepsy remain controversial. We found that different doses of lithium affect epileptic seizure activity and bidirectionally modulate the susceptibility to and severity of seizures induced by pilocarpine in rats. Recently, it has been demonstrated that systematically administered lithium affects the powers of hippocampal gamma and theta oscillations in baseline electroencephalograms. Low-dose lithium (10 mg/kg) administered to pilocarpine-treated rats markedly increased the powers of basal gamma (30-80 Hz) and theta (4-12 Hz) oscillations, decreased the proportion of Racine stage 4-5 seizures, extended latency until seizure onset, and significantly reduced the frequency of lower-class seizures (p < 0.05). Conversely, when the dose was increased to 40 mg/kg, lithium reduced the frequency of lower-class seizures compared to control treatment (p < 0.05). Further, at this high dose, lithium reduced the power of basal gamma oscillations and markedly increased the susceptibility to and severity of pilocarpine-induced seizures and enhanced ripple rhythms (80-200 Hz) postictally. Our results provide a framework for further investigations of the underlying electrophysiological mechanisms of lithium-induced imbalances in excitatory and inhibitory neural circuits that regulate seizure activity in rats. In conclusion, the observed in vivo changes in the powers of basal gamma and theta oscillations in response to different doses of lithium may reflect hippocampal neural network responsiveness.
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