Conditions for Synaptic Specificity during the Maintenance Phase of Synaptic Plasticity

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dc.citation.articleNumberENEURO.0064-22.2022en_US
dc.citation.issueNumber3en_US
dc.citation.journalTitleeNeuroen_US
dc.citation.volumeNumber9en_US
dc.contributor.authorHuertas, Marco A.en_US
dc.contributor.authorNewton, Adam J. H.en_US
dc.contributor.authorMcDougal, Robert A.en_US
dc.contributor.authorSacktor, Todd Charltonen_US
dc.contributor.authorShouval, Harel Z.en_US
dc.date.accessioned2022-06-08T15:58:49Zen_US
dc.date.available2022-06-08T15:58:49Zen_US
dc.date.issued2022en_US
dc.description.abstractActivity-dependent modifications of synaptic efficacies are a cellular substrate of learning and memory. Experimental evidence shows that these modifications are synapse specific and that the long-lasting effects are associated with the sustained increase in concentration of specific proteins like PKMĪ¶. However, such proteins are likely to diffuse away from their initial synaptic location and spread out to neighboring synapses, potentially compromising synapse specificity. In this article, we address the issue of synapse specificity during memory maintenance. Assuming that the long-term maintenance of synaptic plasticity is accomplished by a molecular switch, we carry out analytical calculations and perform simulations using the reaction-diffusion package in NEURON to determine the limits of synapse specificity during maintenance. Moreover, we explore the effects of the diffusion and degradation rates of proteins and of the geometrical characteristics of dendritic spines on synapse specificity. We conclude that the necessary conditions for synaptic specificity during maintenance require that molecular switches reside in dendritic spines. The requirement for synaptic specificity when the molecular switch resides in spines still imposes strong limits on the diffusion and turnover of rates of maintenance molecules, as well as on the morphologic properties of synaptic spines. These constraints are quite general and apply to most existing models suggested for maintenance. The parameter values can be experimentally evaluated, and if they do not fit the appropriate predicted range, the validity of this class of maintenance models would be challenged.en_US
dc.identifier.citationHuertas, Marco A., Newton, Adam J. H., McDougal, Robert A., et al.. "Conditions for Synaptic Specificity during the Maintenance Phase of Synaptic Plasticity." <i>eNeuro,</i> 9, no. 3 (2022) Society for Neuroscience: https://doi.org/10.1523/ENEURO.0064-22.2022.en_US
dc.identifier.digitalENEURO-0064-22-2022-fullen_US
dc.identifier.doihttps://doi.org/10.1523/ENEURO.0064-22.2022en_US
dc.identifier.urihttps://hdl.handle.net/1911/112448en_US
dc.language.isoengen_US
dc.publisherSociety for Neuroscienceen_US
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleConditions for Synaptic Specificity during the Maintenance Phase of Synaptic Plasticityen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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