Synaptic homeostasis transiently leverages Hebbian mechanisms for a multiphasic response to inactivity

Sun, Simón ED, Levenstein, Daniel, Li, Boxing, Mandelberg, Nataniel, Chenouard, Nicolas, Suutari, Benjamin S, Sanchez, Sandrine, Tian, Guoling, Rinzel, John, Buzsáki, György, Tsien, Richard W (March 2024) Synaptic homeostasis transiently leverages Hebbian mechanisms for a multiphasic response to inactivity. Cell Reports, 43 (4). p. 113839. ISSN 2211-1247 (Public Dataset)

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Abstract

Homeostatic regulation of synapses is vital for nervous system function and key to understanding a range of neurological conditions. Synaptic homeostasis is proposed to operate over hours to counteract the destabilizing influence of long-term potentiation (LTP) and long-term depression (LTD). The prevailing view holds that synaptic scaling is a slow first-order process that regulates postsynaptic glutamate receptors and fundamentally differs from LTP or LTD. Surprisingly, we find that the dynamics of scaling induced by neuronal inactivity are not exponential or monotonic, and the mechanism requires calcineurin and CaMKII, molecules dominant in LTD and LTP. Our quantitative model of these enzymes reconstructs the unexpected dynamics of homeostatic scaling and reveals how synapses can efficiently safeguard future capacity for synaptic plasticity. This mechanism of synaptic adaptation supports a broader set of homeostatic changes, including action potential autoregulation, and invites further inquiry into how such a mechanism varies in health and disease.

Item Type: Paper
Subjects: organs, tissues, organelles, cell types and functions
organs, tissues, organelles, cell types and functions > sub-cellular tissues: types and functions
organs, tissues, organelles, cell types and functions > sub-cellular tissues: types and functions > synapse
CSHL Authors:
Communities: CSHL labs > Tollkuhn lab
SWORD Depositor: CSHL Elements
Depositing User: CSHL Elements
Date: 19 March 2024
Date Deposited: 25 Mar 2024 20:17
Last Modified: 25 Mar 2024 20:17
Related URLs:
Dataset ID:
  • https://doi.org/10.17605/OSF.IO/SDVG6
  • https://github.com/dlevenstein/SunLevenstein2024
URI: https://repository.cshl.edu/id/eprint/41477

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