Activity-Dependent Synapse Refinement: From Mechanisms to Molecules

Autor: Sivapratha Nagappan-Chettiar, Timothy J. Burbridge, Hisashi Umemori
Rok vydání: 2023
Předmět:
Zdroj: The Neuroscientist. :107385842311701
ISSN: 1089-4098
1073-8584
DOI: 10.1177/10738584231170167
Popis: The refinement of immature neuronal networks into efficient mature ones is critical to nervous system development and function. This process of synapse refinement is driven by the neuronal activity–dependent competition of converging synaptic inputs, resulting in the elimination of weak inputs and the stabilization of strong ones. Neuronal activity, whether in the form of spontaneous activity or experience-evoked activity, is known to drive synapse refinement in numerous brain regions. More recent studies are now revealing the manner and mechanisms by which neuronal activity is detected and converted into molecular signals that appropriately regulate the elimination of weaker synapses and stabilization of stronger ones. Here, we highlight how spontaneous activity and evoked activity instruct neuronal activity–dependent competition during synapse refinement. We then focus on how neuronal activity is transformed into the molecular cues that determine and execute synapse refinement. A comprehensive understanding of the mechanisms underlying synapse refinement can lead to novel therapeutic strategies in neuropsychiatric diseases characterized by aberrant synaptic function.
Databáze: OpenAIRE