Diversity and Specificity of Astrocyte–neuron Communication. (1st January 2019)

• Record Type: Journal Article
• Authors: Durkee, Caitlin A.; Araque, Alfonso
• Is Part Of: Neuroscience. Volume 396(2019)
• Page Start: 73
• Page End: 78
• Publication Date: 2019-01-01
• Subjects: astrocytes -- astrocyte–neuron signaling -- glia -- synaptic transmission -- synaptic plasticity -- gliotransmission; Neurochemistry -- Periodicals; Neurophysiology -- Periodicals; Neurology -- Periodicals; Neurochimie -- Périodiques; Neurophysiologie -- Périodiques; Neurochemistry; Neurophysiology; Electronic journals; Periodicals; Electronic journals; 612.8
• DOI: 10.1016/j.neuroscience.2018.11.010
• Languages: English
• ISSNs: 0306-4522

Abstract

Highlights: Astrocytes are emerging as important players in synaptic function. Mechanisms and consequences of astrocyte–neuron signaling is a complex phenomenon. Astrocyte–neuron signaling is a highly diverse phenomenon. Astrocyte–neuron signaling is a synapse-, cell- and circuit-specific phenomenon. This diversity and complexity enhances the degrees of freedom of neural circuits. Summary: Astrocytes are emerging as important players in synaptic function, and, consequently, on brain function and animal behavior. According to the Tripartite Synapse concept, astrocytes are integral elements involved in synaptic function. They establish bidirectional communication with neurons, whereby they respond to synaptically released neurotransmitters and, in turn, release gliotransmitters that influence neuronal and synaptic activity. Accumulating evidence is revealing that the mechanisms and functional consequences of astrocyte–neuron signaling are more complex than originally thought. Furthermore, astrocyte–neuron signaling is not based on broad, unspecific interaction; rather, it is a synapse-, cell- and circuit-specific phenomenon that presents a high degree of complexity. This diversity and complexity of astrocyte–synapse interactions greatly enhance the degrees of freedom of the neural circuits and the consequent computational power of the neural systems.