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Endocannabinoids facilitate the induction of LTP in the hippocampus

descriptionPublicationkeyboard_double_arrow_right Article 24 Jun 2002Publisher:Springer Science and Business Media LLCJournal:Nature Neuroscience, volume 5, pages 723-724 (issn: 1097-6256, eissn: 1546-1726,

Authors: Gregory C. Carlson; Bradley E. Alger; Yue Wang;

doi: 10.1038/nn879

pmid: 12080342

Endocannabinoids facilitate the induction of LTP in the hippocampus

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Abstract

Exogenous cannabinoids disrupt behavioral learning and impede induction of long-term potentiation (LTP) in the hippocampus, yet endogenous cannabinoids (endocannabinoids) transiently suppress inhibitory post-synaptic currents (IPSCs) by activating cannabinoid CB1 receptors on GABAergic interneurons. We found that release of endocannabinoids by a rat CA1 pyramidal cell during this depolarization-induced suppression of inhibition (DSI) enabled a normally ineffective train of excitatory post-synaptic currents (EPSCs) to induce LTP in that cell, but not in neighboring cells. By showing that endocannabinoids facilitate LTP induction and help target LTP to single cells, these data shed new light on the physiological roles of endocannabinoids and may lead to a greater understanding of their effects on behavior and potential clinical use.

Related Organizations

University of Maryland, Baltimore
United States
University of Maryland School of Medicine
United States
University of Maryland, College Park
United States

Keywords

Patch-Clamp Techniques, Cannabinoids, Pyramidal Cells, Long-Term Potentiation, Excitatory Postsynaptic Potentials, In Vitro Techniques, Hippocampus, Electric Stimulation, Rats, GABA Antagonists, Cannabinoid Receptor Modulators, Animals, GABA-A Receptor Antagonists, Endocannabinoids

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%