Two distinct mechanisms for experience-dependent homeostasis

Nature Neuroscience
Michelle C D BridiA Kirkwood

Abstract

Models of firing rate homeostasis such as synaptic scaling and the sliding synaptic plasticity modification threshold predict that decreasing neuronal activity (for example, by sensory deprivation) will enhance synaptic function. Manipulations of cortical activity during two forms of visual deprivation, dark exposure (DE) and binocular lid suture, revealed that, contrary to expectations, spontaneous firing in conjunction with loss of visual input is necessary to lower the threshold for Hebbian plasticity and increase miniature excitatory postsynaptic current (mEPSC) amplitude. Blocking activation of GluN2B receptors, which are upregulated by DE, also prevented the increase in mEPSC amplitude, suggesting that DE potentiates mEPSCs primarily through a Hebbian mechanism, not through synaptic scaling. Nevertheless, NMDA-receptor-independent changes in mEPSC amplitude consistent with synaptic scaling could be induced by extreme reductions of activity. Therefore, two distinct mechanisms operate within different ranges of neuronal activity to homeostatically regulate synaptic strength.

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May 16, 2018·Nature Neuroscience·Kimberly M Huber
Jan 8, 2019·The European Journal of Neuroscience·Giulio Tononi, Chiara Cirelli
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Nov 25, 2020·Neuron·Alejandro Torrado PachecoGina G Turrigiano
Jan 15, 2021·Proceedings of the National Academy of Sciences of the United States of America·Ye WangNancy Y Ip
May 4, 2021·Frontiers in Synaptic Neuroscience·Varun ChokshiHey-Kyoung Lee
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May 18, 2021·Cerebral Cortex Communications·Crystal L Lantz, Elizabeth M Quinlan
Jun 12, 2021·Frontiers in Neural Circuits·Gabrielle EwallHey-Kyoung Lee
Sep 12, 2021·Proceedings of the National Academy of Sciences of the United States of America·Daniel SeverinAlfredo Kirkwood
Sep 17, 2021·Learning & Memory·Felippe E AmorimOlavo B Amaral

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Methods Mentioned

BETA
dissection

Software Mentioned

Matlab routines
custom
Mini Analysis
SigmaPlot
Igor
Matlab
OpenSorter ( TDT )

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