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Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory
Modeling studies suggest that clustered structural plasticity of dendritic spines is an efficient mechanism of information storage in cortical circuits. However, why new clustered spines occur in specific locations and how their formation relates to learning and memory (L&M) remain unclear. Usin...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789055/ https://www.ncbi.nlm.nih.gov/pubmed/29379017 http://dx.doi.org/10.1038/s41467-017-02751-2 |
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author | Frank, Adam C. Huang, Shan Zhou, Miou Gdalyahu, Amos Kastellakis, George Silva, Tawnie K. Lu, Elaine Wen, Ximiao Poirazi, Panayiota Trachtenberg, Joshua T. Silva, Alcino J. |
author_facet | Frank, Adam C. Huang, Shan Zhou, Miou Gdalyahu, Amos Kastellakis, George Silva, Tawnie K. Lu, Elaine Wen, Ximiao Poirazi, Panayiota Trachtenberg, Joshua T. Silva, Alcino J. |
author_sort | Frank, Adam C. |
collection | PubMed |
description | Modeling studies suggest that clustered structural plasticity of dendritic spines is an efficient mechanism of information storage in cortical circuits. However, why new clustered spines occur in specific locations and how their formation relates to learning and memory (L&M) remain unclear. Using in vivo two-photon microscopy, we track spine dynamics in retrosplenial cortex before, during, and after two forms of episodic-like learning and find that spine turnover before learning predicts future L&M performance, as well as the localization and rates of spine clustering. Consistent with the idea that these measures are causally related, a genetic manipulation that enhances spine turnover also enhances both L&M and spine clustering. Biophysically inspired modeling suggests turnover increases clustering, network sparsity, and memory capacity. These results support a hotspot model where spine turnover is the driver for localization of clustered spine formation, which serves to modulate network function, thus influencing storage capacity and L&M. |
format | Online Article Text |
id | pubmed-5789055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57890552018-01-31 Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory Frank, Adam C. Huang, Shan Zhou, Miou Gdalyahu, Amos Kastellakis, George Silva, Tawnie K. Lu, Elaine Wen, Ximiao Poirazi, Panayiota Trachtenberg, Joshua T. Silva, Alcino J. Nat Commun Article Modeling studies suggest that clustered structural plasticity of dendritic spines is an efficient mechanism of information storage in cortical circuits. However, why new clustered spines occur in specific locations and how their formation relates to learning and memory (L&M) remain unclear. Using in vivo two-photon microscopy, we track spine dynamics in retrosplenial cortex before, during, and after two forms of episodic-like learning and find that spine turnover before learning predicts future L&M performance, as well as the localization and rates of spine clustering. Consistent with the idea that these measures are causally related, a genetic manipulation that enhances spine turnover also enhances both L&M and spine clustering. Biophysically inspired modeling suggests turnover increases clustering, network sparsity, and memory capacity. These results support a hotspot model where spine turnover is the driver for localization of clustered spine formation, which serves to modulate network function, thus influencing storage capacity and L&M. Nature Publishing Group UK 2018-01-29 /pmc/articles/PMC5789055/ /pubmed/29379017 http://dx.doi.org/10.1038/s41467-017-02751-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Frank, Adam C. Huang, Shan Zhou, Miou Gdalyahu, Amos Kastellakis, George Silva, Tawnie K. Lu, Elaine Wen, Ximiao Poirazi, Panayiota Trachtenberg, Joshua T. Silva, Alcino J. Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory |
title | Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory |
title_full | Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory |
title_fullStr | Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory |
title_full_unstemmed | Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory |
title_short | Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory |
title_sort | hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789055/ https://www.ncbi.nlm.nih.gov/pubmed/29379017 http://dx.doi.org/10.1038/s41467-017-02751-2 |
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