Event Abstract

Endocannabinoid-dependent long-term depression of GABAergic synaptic transmission in the neocortex

  • 1 European Brain Research Institute (EBRI), Department of Signal Processing, Italy
  • 2 Neurocentre Magendie, INSERM, France

Endocannabinoids (ECs) are endogenous lipids that retrogradely regulate presynaptic release of neurotransmitter. Moreover, we have shown that autocrine actions of ECs result in a persistent depression of excitability (slow self-inhibition, or SSI) in several neocortical neurons, including ~30% of layer 2/3 pyramidal neurons (PNs). Here we show that these pre- and postsynaptic EC-mediated actions coexist and interact in neocortical PNs. Indeed, SSI-inducing repeated depolarizations elicited a persistent reduction of GABAergic transmission in all SSI+, but in much smaller percentage of SSI- PNs. This form of depolarization-induced long-term depression of inhibition (d-LTDi) was terminated by late applications of AM-251, suggesting a persistent activation of presynaptic CB1 receptors. d-LTDi differs from other forms of EC-mediated GABAergic synaptic plasticity, in which CB1Rs were necessary for the induction but not expression of long-term changes of synaptic inhibition. Moreover, d-LTDi in layer 2/3 PNs was induced by postsynaptic depolarizations alone, thus excluding heterosynaptic plasticity. Thus, ECs can differentially regulate the activity of neocortical PNs upon depolarizations: a decrease of PN activity through autocrine SSI, and a retrograde disinhibition of the same neurons. Such dualistic effects could play important roles in the modulation of neocortical excitatory networks.

Conference: EMBO workshop: Gaba Signalling and Brain Networks , Amsterdam, Netherlands, 30 Jun - 2 Jul, 2010.

Presentation Type: Poster Presentation

Topic: Posters

Citation: Bacci A, Cannich A, Marinelli S, Marsicano G and Pacioni S (2010). Endocannabinoid-dependent long-term depression of GABAergic synaptic transmission in the neocortex. Conference Abstract: EMBO workshop: Gaba Signalling and Brain Networks . doi: 10.3389/conf.fnins.2010.15.00002

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Received: 22 Jun 2010; Published Online: 22 Jun 2010.

* Correspondence: A. Bacci, European Brain Research Institute (EBRI), Department of Signal Processing, Rome, Italy, alberto.bacci@icm-institute.org