Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory.
Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory.
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DOI：
10.1038/s41467-017-02751-2
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发表时间：
2018-01-29
影响因子：
16.6
通讯作者：
Silva AJ
中科院分区：
文献类型：
--
作者：
Frank AC;Huang S;Zhou M;Gdalyahu A;Kastellakis G;Silva TK;Lu E;Wen X;Poirazi P;Trachtenberg JT;Silva AJ
模拟研究表明，树突棘的簇状结构可塑性是大脑皮质回路中一种有效的信息存储机制。然而，为什么新的丛生脊椎出现在特定的位置，以及它们的形成如何与学习和记忆有关(L和M)仍然不清楚。使用活体双光子显微镜，我们跟踪了两种形式的间歇性学习之前、期间和之后脾后皮质的脊柱动力学，发现学习前的脊柱周转预测了未来L和M的表现，以及脊柱聚集性的位置和比率。与这些措施是因果相关的想法一致，提高脊柱周转率的基因操作也同时增强了L&M和脊柱聚集性。生物物理启发的建模表明，营业额增加了集群、网络稀疏性和记忆容量。这些结果支持一个热点模型，即脊柱翻转是簇棘形成局部化的驱动力，而簇棘形成调节网络功能，从而影响存储容量和L和M。树突棘的结构重塑被认为是记忆存储的一种机制。在这里，作者研究了脊椎周转和聚集如何预测未来的学习和记忆表现，并看到具有增强脊椎周转的转基因小鼠增强了学习。
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. Structural remodeling of dendritic spines is thought to be a mechanism of memory storage. Here, the authors look at how spine turnover and clustering predict future learning and memory performance, and see that a genetically modified mouse with enhanced spine turnover has enhanced learning.
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影响因子：
64.8
作者：
Hayashi-Takagi A;Yagishita S;Nakamura M;Shirai F;Wu YI;Loshbaugh AL;Kuhlman B;Hahn KM;Kasai H
通讯作者：
Kasai H
影响因子：
14.8
作者：
Holtmaat, Anthony;Bonhoeffer, Tobias;Chow, David K.;Chuckowree, Jyoti;De Paola, Vincenzo;Hofer, Sonja B.;Huebener, Mark;Keck, Tara;Knott, Graham;Lee, Wei-Chung A.;Mostany, Ricardo;Mrsic-Flogel, Tom D.;Nedivi, Elly;Portera-Cailliau, Carlos;Svoboda, Karel;Trachtenberg, Joshua T.;Wilbrecht, Linda
通讯作者：
Wilbrecht, Linda
影响因子：
16.2
作者：
Cowansage, Kiriana K.;Shuman, Tristan;Dillingham, Blythe C.;Chang, Allene;Golshani, Peyman;Mayford, Mark
通讯作者：
Mayford, Mark
DOI：
10.1523/jneurosci.2107-11.2011
发表时间：
2011-08-10
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Corcoran KA;Donnan MD;Tronson NC;Guzmán YF;Gao C;Jovasevic V;Guedea AL;Radulovic J
通讯作者：
Radulovic J
影响因子：
16.2
作者：
Govindarajan A;Israely I;Huang SY;Tonegawa S
通讯作者：
Tonegawa S