Impermanence of dendritic spines in live adult CA1 hippocampus
Open accessAbstract
The mammalian hippocampus is crucial for episodic memory formation and transiently retains information for about 3-4 weeks in adult mice and longer in humans. Although neuroscientists widely believe that neural synapses are elemental sites of information storage, there has been no direct evidence that hippocampal synapses persist for time intervals commensurate with the duration of hippocampal-dependent memory. Here we tested the prediction that the lifetimes of hippocampal synapses match the longevity of hippocampal memory. By using time-lapse two-photon microendoscopy in the CA1 hippocampal area of live mice, we monitored the turnover dynamics of the pyramidal neurons' basal dendritic spines, postsynaptic structures whose turnover dynamics are thought to reflect those of excitatory synaptic connections. Strikingly, CA1 spine turnover dynamics differed sharply from those seen previously in the neocortex. Mathematical modelling revealed that the data best matched kinetic models with a single population of spines with a mean lifetime of approximately 1-2 weeks. This implies ∼100% turnover in ∼2-3 times this interval, a near full erasure of the synaptic connectivity pattern. Although N-methyl-d-aspartate (NMDA) receptor blockade stabilizes spines in the neocortex, in CA1 it transiently increased the rate of spine loss and thus lowered spine density. These results reveal that adult neocortical and hippocampal pyramidal neurons have divergent patterns of spine regulation and quantitatively support the idea that the transience of hippocampal-dependent memory directly reflects the turnover dynamics of hippocampal synapses.
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A substantial portion of dendritic spines on CA1 pyramidal cells turn over within a few weeks.
“Perhaps even more problematic is the report that a substantial portion of dendritic spines on CA1 pyramidal cells turn over within a few weeks (416, 417).”
From Synaptic memory and CaMKII (2023) · cites this paper as [416]
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The Medial Temporal Lobe Memory System
Squire, L. R., & Zola-Morgan, S. (1991) · Science · doi:10.1126/science.1896849 · Cited by 3,282 · see citing works
Imaging Neuronal Subsets in Transgenic Mice Expressing Multiple Spectral Variants of GFP
Feng, G., Mellor, R. H., Bernstein, M., Keller-Peck, C., Nguyen, Q. T., Wallace, M., Nerbonne, J. M., Lichtman, J. W., & Sanes, J. R. (2000) · Neuron · doi:10.1016/s0896-6273(00)00084-2 · Cited by 3,042 · see citing works
The organization of recent and remote memories
Frankland, P. W., & Bontempi, B. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1607 · Cited by 2,138 · see citing works
Synaptic tagging and long-term potentiation
Frey, U., & Morris, R. G. M. (1997) · Nature · doi:10.1038/385533a0 · Cited by 1,736 · see citing works
Dendritic spine changes associated with hippocampal long-term synaptic plasticity
Engert, F., & Bonhoeffer, T. (1999) · Nature · doi:10.1038/19978 · Cited by 1,664 · see citing works
Rapid formation and selective stabilization of synapses for enduring motor memories
Xu, T., Yu, X., Perlik, A. J., Tobin, W. F., Zweig, J. A., Tennant, K., Jones, T., & Zuo, Y. (2009) · Nature · doi:10.1038/nature08389 · Cited by 1,193 · see citing works
Rapid Dendritic Morphogenesis in CA1 Hippocampal Dendrites Induced by Synaptic Activity
Maletić‐Savatić, M., Malinow, R., & Svoboda, K. (1999) · Science · doi:10.1126/science.283.5409.1923 · Cited by 1,189 · see citing works
Stably maintained dendritic spines are associated with lifelong memories
Yang, G., Pan, F., & Gan, W.-B. (2009) · Nature · doi:10.1038/nature08577 · Cited by 1,182 · see citing works
Long-term dynamics of CA1 hippocampal place codes
Ziv, Y., Burns, L. D., Cocker, E. D., Hamel, E. O., Ghosh, K. K., Kitch, L. J., Gamal, A. E., & Schnitzer, M. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3329 · Cited by 1,155 · see citing works
Self-citationTransient and persistent dendritic spines in the neocortex in vivo
Holtmaat, A. J. G. D., Trachtenberg, J. T., Wilbrecht, L., Shepherd, G. M., Zhang, X., Knott, G. W., & Svoboda, K. (2005) · Neuron · doi:10.1016/j.neuron.2005.01.003 · Cited by 1,131 · see citing works
Harris, K., & Stevens, J. (1989) · The Journal of Neuroscience · doi:10.1523/jneurosci.09-08-02982.1989 · Cited by 1,073 · see citing works
Long-term, high-resolution imaging in the mouse neocortex through a chronic cranial window
Holtmaat, A. J. D. G., Bonhoeffer, T., Chow, D. K., Chuckowree, J. A., Paola, V. D., Hofer, S. B., Hübener, M., Keck, T., Knott, G. W., Lee, W.-C. A., et al. (2009) · Nature Protocols · doi:10.1038/nprot.2009.89 · Cited by 998 · see citing works
LTP promotes formation of multiple spine synapses between a single axon terminal and a dendrite
Toni, N., Buchs, P.-A., Nikonenko, I., Bron, C. R., & Muller, D. (1999) · Nature · doi:10.1038/46574 · Cited by 949 · see citing works
Functional imaging of hippocampal place cells at cellular resolution during virtual navigation
Dombeck, D. A., Harvey, C. D., Tian, L., Looger, L. L., & Tank, D. W. (2010) · Nature Neuroscience · doi:10.1038/nn.2648 · Cited by 873 · see citing works
Rampon, C., Tang, Y.-P., Goodhouse, J., Shimizu, E., Kyin, M., & Tsien, J. Z. (2000) · Nature Neuroscience · doi:10.1038/72945 · Cited by 737 · see citing works
Sleep promotes branch-specific formation of dendritic spines after learning
Yang, G., Lai, C. S. W., Cichon, J., Ma, L., Li, W., & Gan, W.-B. (2014) · Science · doi:10.1126/science.1249098 · Cited by 616 · see citing works
Moser, M., Trommald, M., & Andersen, P. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.26.12673 · Cited by 615 · see citing works
Impact of Active Dendrites and Structural Plasticity on the Memory Capacity of Neural Tissue
Poirazi, P., & Mel, B. W. (2001) · Neuron · doi:10.1016/s0896-6273(01)00252-5 · Cited by 592 · see citing works
Cascade Models of Synaptically Stored Memories
Fusi, S., Drew, P. J., & Abbott, L. F. (2005) · Neuron · doi:10.1016/j.neuron.2005.02.001 · Cited by 569 · see citing works
Dynamics of Retrieval Strategies for Remote Memories
Goshen, I., Brodsky, M., Prakash, R., Wallace, J. L., Gradinaru, V., Ramakrishnan, C., & Deisseroth, K. A. (2011) · Cell · doi:10.1016/j.cell.2011.09.033 · Cited by 546 · see citing works
Structure, development, and plasticity of dendritic spines
Harris, K. M. (1999) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(99)80050-6 · Cited by 515 · see citing works
Long-term sensory deprivation prevents dendritic spine loss in primary somatosensory cortex
Zuo, Y., Yang, G., Kwon, E., & Gan, W.-B. (2005) · Nature · doi:10.1038/nature03715 · Cited by 436 · see citing works
Memory retention – the synaptic stability versus plasticity dilemma
Abraham, W. C., & Robins, A. (2005) · Trends in Neurosciences · doi:10.1016/j.tins.2004.12.003 · Cited by 353 · see citing works
Formation of Temporal Memory Requires NMDA Receptors within CA1 Pyramidal Neurons
Huerta, P. T., Sun, L. D., Wilson, M. A., & Tonegawa, S. (2000) · Neuron · doi:10.1016/s0896-6273(00)80909-5 · Cited by 335 · see citing works
Bourne, J. N., & Harris, K. M. (2011) · Hippocampus · doi:10.1002/hipo.20768 · Cited by 318 · see citing works
Principles of Long-Term Dynamics of Dendritic Spines
Yasumatsu, N., Matsuzaki, M., Miyazaki, T., Noguchi, J., & Kasai, H. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.0603-08.2008 · Cited by 314 · see citing works
Ultrastructural Analysis of Hippocampal Neuropil from the Connectomics Perspective
Mishchenko, Y., Hu, T., Špaček, J., Mendenhall, J. M., Harris, K. M., & Chklovskii, D. B. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.014 · Cited by 277 · see citing works
In vivo fluorescence imaging with high-resolution microlenses
Barretto, R. P. J., Messerschmidt, B., & Schnitzer, M. J. (2009) · Nature Methods · doi:10.1038/nmeth.1339 · Cited by 275 · see citing works
Self-citationTime-lapse imaging of disease progression in deep brain areas using fluorescence microendoscopy
Barretto, R. P. J., Ko, T. H., Jung, J. C., Wang, T. J., Capps, G., Waters, A. C., Ziv, Y., Attardo, A., Recht, L. D., & Schnitzer, M. J. (2011) · Nature Medicine · doi:10.1038/nm.2292 · Cited by 253 · see citing works
Self-citationStability in Synapse Number and Size at 2 Hr after Long-Term Potentiation in Hippocampal Area CA1
Sorra, K. E., & Harris, K. M. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-02-00658.1998 · Cited by 181 · see citing works
High-ResolutionIn VivoImaging of Hippocampal Dendrites and Spines
Mizrahi, A., Crowley, J. C., Shtoyerman, E., & Katz, L. C. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.5218-03.2004 · Cited by 174 · see citing works
Elimination of Dendritic Spines with Long-Term Memory Is Specific to Active Circuits
Sanders, J. D., Cowansage, K. K., Baumgärtel, K., & Mayford, M. R. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1131-12.2012 · Cited by 99 · see citing works
Long-TermIn VivoImaging of Dendritic Spines in the Hippocampus Reveals Structural Plasticity
Gu, L., Poll, S., Schmid, L., Nebeling, F. C., Chamoun, M., Steffen, J., Wagner, J., & Fuhrmann, M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1464-14.2014 · Cited by 99 · see citing works
Capacity-Enhancing Synaptic Learning Rules in a Medial Temporal Lobe Online Learning Model
Wu, X., & Mel, B. W. (2009) · Neuron · doi:10.1016/j.neuron.2009.02.021 · Cited by 56 · see citing works
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Microglia mediate forgetting via complement-dependent synaptic elimination
Wang, C., Yue, H., Hu, Z., Shen, Y., Ma, J., Li, J., Wang, X.-D., Wang, L., Sun, B., Shi, P., et al. (2020) · Science · doi:10.1126/science.aaz2288 · Cited by 629 · see citing works
Activity-Regulated Transcription: Bridging the Gap between Neural Activity and Behavior
Yap, E.-L., & Greenberg, M. E. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.013 · Cited by 626 · see citing works
Fast high-resolution miniature two-photon microscopy for brain imaging in freely behaving mice
Zong, W., Wu, R., Li, M., Hu, Y., Li, Y., Li, J., Rong, H., Wu, H., Xu, Y., Lu, Y. M., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4305 · Cited by 506 · see citing works
Spine Dynamics: Are They All the Same?
Berry, K., & Nedivi, E. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.008 · Cited by 464 · see citing works
Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex
Driscoll, L. N., Pettit, N. L., Minderer, M., Chettih, S. N., & Harvey, C. D. (2017) · Cell · doi:10.1016/j.cell.2017.07.021 · Cited by 445 · see citing works
CaMKII: a central molecular organizer of synaptic plasticity, learning and memory
Yasuda, R., Hayashi, Y., & Hell, J. W. (2022) · Nature Reviews Neuroscience · doi:10.1038/s41583-022-00624-2 · Cited by 431 · see citing works
In vivo imaging of neural activity
Yang, W., & Yuste, R. (2017) · Nature Methods · doi:10.1038/nmeth.4230 · Cited by 406 · see citing works
Astrocytes phagocytose adult hippocampal synapses for circuit homeostasis
Lee, J.-H., Kim, J. S., Noh, S., Lee, H., Lee, S. Y., Mun, J. Y., Park, H., & Chung, W. (2020) · Nature · doi:10.1038/s41586-020-03060-3 · Cited by 387 · see citing works
Is plasticity of synapses the mechanism of long-term memory storage?
Abraham, W. C., Jones, O. D., & Glanzman, D. L. (2019) · npj Science of Learning · doi:10.1038/s41539-019-0048-y · Cited by 368 · see citing works
The cell biology of synapse formation
Südhof, T. C. (2021) · Journal of Cell Biology · doi:10.1083/jcb.202103052 · Cited by 358 · see citing works
High-fidelity multimode fibre-based endoscopy for deep brain in vivo imaging
Turtaev, S., Leite, I. T., Altwegg‐Boussac, T., Pakan, J. M. P., Rochefort, N. L., & Čižmár, T. (2018) · Light Science & Applications · doi:10.1038/s41377-018-0094-x · Cited by 348 · see citing works
Neurobiology of local and intercellular BDNF signaling
Sasi, M., Vignoli, B., Canossa, M., & Blum, R. (2017) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-017-1964-4 · Cited by 324 · see citing works
The Biology of Forgetting—A Perspective
Davis, R. L., & Zhong, Y. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.039 · Cited by 324 · see citing works
The Persistence and Transience of Memory
Richards, B. A., & Frankland, P. W. (2017) · Neuron · doi:10.1016/j.neuron.2017.04.037 · Cited by 304 · see citing works
Hippocampal ensemble dynamics timestamp events in long-term memory
Rubin, A., Geva, N., Sheintuch, L., & Ziv, Y. (2015) · eLife · doi:10.7554/elife.12247 · Cited by 266 · see citing works
Long-Term Optical Access to an Estimated One Million Neurons in the Live Mouse Cortex
Kim, T. H., Zhang, Y., Lecoq, J. A., Jung, J. C., Li, J., Zeng, H., Niell, C. M., & Schnitzer, M. J. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.12.004 · Cited by 251 · see citing works
Self-citationChen, X., Sobczak, F., Chen, Y., Jiang, Y., Qian, C., Lu, Z., Ayata, C., Logothetis, N. K., & Yu, X. (2019) · Nature Communications · doi:10.1038/s41467-019-12850-x · Cited by 241 · see citing works
Functional and structural underpinnings of neuronal assembly formation in learning
Holtmaat, A., & Caroni, P. (2016) · Nature Neuroscience · doi:10.1038/nn.4418 · Cited by 239 · see citing works
Causes and consequences of representational drift
Rule, M. E., O’Leary, T., & Harvey, C. D. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.08.005 · Cited by 227 · see citing works
Dendritic Spine Plasticity: Function and Mechanisms
Runge, K., Cardoso, C., & de Chevigny, A. (2020) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2020.00036 · Cited by 224 · see citing works
Schmid, L., Mittag, M., Poll, S., Steffen, J., Wagner, J., Geis, H., Schwarz, I., Schmidt, B., Schwarz, M. K., Remy, S., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.034 · Cited by 207 · see citing works
Remote Memory and the Hippocampus: A Constructive Critique
Barry, D. N., & Maguire, E. A. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.11.005 · Cited by 196 · see citing works
Chronic 2P-STED imaging reveals high turnover of dendritic spines in the hippocampus in vivo
Pfeiffer, T., Poll, S., Bancelin, S., Angibaud, J., Inavalli, V. K., Keppler, K., Mittag, M., Fuhrmann, M., & Nägerl, U. V. (2018) · eLife · doi:10.7554/elife.34700 · Cited by 192 · see citing works
Structural and functional plasticity of dendritic spines – root or result of behavior?
Gipson, C. D., & Olive, M. F. (2016) · Genes Brain & Behavior · doi:10.1111/gbb.12324 · Cited by 192 · see citing works
Mau, W., Sullivan, D. W., Kinsky, N. R., Hasselmo, M. E., Howard, M. W., & Eichenbaum, H. (2018) · Current Biology · doi:10.1016/j.cub.2018.03.051 · Cited by 186 · see citing works
Spine dynamics in the brain, mental disorders and artificial neural networks
Kasai, H., Ziv, N. E., Okazaki, H., Yagishita, S., & Toyoizumi, T. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00467-3 · Cited by 180 · see citing works
Three-photon neuronal imaging in deep mouse brain
Wang, T., & Xu, C. (2020) · Optica · doi:10.1364/optica.395825 · Cited by 175 · see citing works
The content of hippocampal “replay”
Pfeiffer, B. E. (2017) · Hippocampus · doi:10.1002/hipo.22824 · Cited by 172 · see citing works
Automated long-term recording and analysis of neural activity in behaving animals
Dhawale, A. K., Poddar, R., Wolff, S. B., Normand, V. A., Kopelowitz, E., & Ölveczky, B. P. (2017) · eLife · doi:10.7554/elife.27702 · Cited by 159 · see citing works
Representational drift: Emerging theories for continual learning and experimental future directions
Driscoll, L. N., Duncker, L., & Harvey, C. D. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102609 · Cited by 154 · see citing works
The brain in motion: How ensemble fluidity drives memory-updating and flexibility
Mau, W., Hasselmo, M. E., & Cai, D. J. (2020) · eLife · doi:10.7554/elife.63550 · Cited by 139 · see citing works
Glycogen distribution in the microwave‐fixed mouse brain reveals heterogeneous astrocytic patterns
Oe, Y., Baba, O., Ashida, H., Nakamura, K., & Hirase, H. (2016) · Glia · doi:10.1002/glia.23020 · Cited by 138 · see citing works
Dendritic Spines as Tunable Regulators of Synaptic Signals
Tønnesen, J., & Nägerl, U. V. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00101 · Cited by 136 · see citing works
Variance and invariance of neuronal long-term representations
Clopath, C., Bonhoeffer, T., Hübener, M., & Rose, T. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0161 · Cited by 131 · see citing works
Selective Loss of Smaller Spines in Schizophrenia
MacDonald, M. L., Alhassan, J., Newman, J. T., Richard, M. D., Gu, H., Kelly, R. M., Sampson, A. R., Fish, K. N., Penzes, P., Wills, Z. P., et al. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16070814 · Cited by 131 · see citing works
Nicoll, R. A., & Schulman, H. (2023) · Physiological Reviews · doi:10.1152/physrev.00034.2022 · Cited by 126 · see citing works
“Perhaps even more problematic is the report that a substantial portion of dendritic spines on CA1 pyramidal cells turn over within a few weeks (416, 417).”
BackgroundQuantitative analysis of 1300-nm three-photon calcium imaging in the mouse brain
Wang, T., Wu, C., Ouzounov, D. G., Gu, W., Xia, F., Kim, M., Yang, X., Warden, M. R., & Xu, C. (2020) · eLife · doi:10.7554/elife.53205 · Cited by 126 · see citing works
Subramanian, J., Savage, J. C., & Tremblay, M. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.592607 · Cited by 124 · see citing works
Dendritic spines: Morphological building blocks of memory
Segal, M. (2016) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2016.06.007 · Cited by 123 · see citing works
Network Plasticity as Bayesian Inference
Kappel, D., Habenschuss, S., Legenstein, R. A., & Maass, W. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004485 · Cited by 121 · see citing works
Homeostatic Plasticity of Subcellular Neuronal Structures: From Inputs to Outputs
Wefelmeyer, W., Puhl, C. J., & Burrone, J. (2016) · Trends in Neurosciences · doi:10.1016/j.tins.2016.08.004 · Cited by 118 · see citing works
Wide. Fast. Deep: Recent Advances in Multiphoton Microscopy ofIn VivoNeuronal Activity
Lecoq, J. A., Orlova, N., & Grewe, B. F. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1527-18.2019 · Cited by 115 · see citing works
Time and experience differentially affect distinct aspects of hippocampal representational drift
Geva, N., Deitch, D., Rubin, A., & Ziv, Y. (2023) · Neuron · doi:10.1016/j.neuron.2023.05.005 · Cited by 115 · see citing works
Intrinsic volatility of synaptic connections — a challenge to the synaptic trace theory of memory
Mongillo, G., Rumpel, S., & Loewenstein, Y. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.06.006 · Cited by 114 · see citing works
Rapid increases in immature synapses parallel estrogen-induced hippocampal learning enhancements
Phan, A., Suschkov, S., Molinaro, L., Reynolds, K. E., Lymer, J., Bailey, C. D. C., Kow, L., MacLusky, N. J., Pfaff, D. W., & Choleris, E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1522150112 · Cited by 109 · see citing works
The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition
Langille, J. J., & Brown, R. E. (2018) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00052 · Cited by 109 · see citing works
The prevalence and specificity of local protein synthesis during neuronal synaptic plasticity
Sun, C., Nold, A., Fusco, C. M., Rangaraju, V., Tchumatchenko, T., Heilemann, M., & Schuman, E. M. (2021) · Science Advances · doi:10.1126/sciadv.abj0790 · Cited by 108 · see citing works
Probabilistic Neural Computing with Stochastic Devices
Misra, S., Bland, L. C., Cardwell, S., Incorvia, J. A. C., James, C. D., Kent, A. D., Schuman, C. D., Smith, J. D., & Aimone, J. B. (2022) · Advanced Materials · doi:10.1002/adma.202204569 · Cited by 107 · see citing works
Stable task information from an unstable neural population
Rule, M. E., Loback, A. R., Raman, D. V., Driscoll, L. N., Harvey, C. D., & O'Leary, T. (2020) · eLife · doi:10.7554/elife.51121 · Cited by 106 · see citing works
Speed scaling in multiphoton fluorescence microscopy
Wu, J., Ji, N., & Tsia, K. K. (2021) · Nature Photonics · doi:10.1038/s41566-021-00881-0 · Cited by 106 · see citing works
An Integrated Approach to Neuro-development, Neuroplasticity and Cognitive Improvement
Drigas, A. S., Karyotaki, M., & Skianis, C. A. (2018) · International Journal of Recent Contributions from Engineering Science & IT (iJES) · doi:10.3991/ijes.v6i3.9034 · Cited by 104 · see citing works
Organizing memories for generalization in complementary learning systems
Sun, W., Advani, M., Spruston, N., Saxe, A., & Fitzgerald, J. E. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01382-9 · Cited by 103 · see citing works
Self-citationUnderstanding the physical basis of memory: Molecular mechanisms of the engram
Luis, C. O. S., & Ryan, T. J. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.101866 · Cited by 103 · see citing works
Pallas‐Bazarra, N., Jurado‐Arjona, J., Navarrete, M., Esteban, J. A., Hernández, F., Ávila, J., & Llorens‐Martín, M. (2016) · The EMBO Journal · doi:10.15252/embj.201593518 · Cited by 101 · see citing works
The Retromer Supports AMPA Receptor Trafficking During LTP
Temkin, P. A., Morishita, W., Goswami, D., Arendt, K. L., Chen, L., & Malenka, R. C. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.020 · Cited by 96 · see citing works
Spano, G. M., Banningh, S. W., Marshall, W., de Vivo, L., Bellesi, M., Loschky, S. S., Tononi, G., & Cirelli, C. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0380-19.2019 · Cited by 96 · see citing works
Two-photon calcium imaging of the medial prefrontal cortex and hippocampus without cortical invasion
Kondo, M., Kobayashi, K., Ohkura, M., Nakai, J., & Matsuzaki, M. (2017) · eLife · doi:10.7554/elife.26839 · Cited by 94 · see citing works
Plasticity of dendritic spines: Molecular function and dysfunction in neurodevelopmental disorders
Nishiyama, J. (2019) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12899 · Cited by 92 · see citing works
Through the looking glass: A review of cranial window technology for optical access to the brain
Cramer, S. W., Carter, R. E., Aronson, J. D., Kodandaramaiah, S. B., Ebner, T. J., & Chen, C. C. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109100 · Cited by 90 · see citing works
Multiple Maps of the Same Spatial Context Can Stably Coexist in the Mouse Hippocampus
Sheintuch, L., Geva, N., Baumer, H., Rechavi, Y., Rubin, A., & Ziv, Y. (2020) · Current Biology · doi:10.1016/j.cub.2020.02.018 · Cited by 88 · see citing works
Synaptic Tenacity or Lack Thereof: Spontaneous Remodeling of Synapses
Ziv, N. E., & Brenner, N. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.12.003 · Cited by 87 · see citing works
Sonic hedgehog signaling in astrocytes mediates cell type-specific synaptic organization
Hill, S., Blaeser, A. S., Coley, A. A., Xie, Y., Shepard, K. A., Harwell, C. C., Gao, W., & Garcia, A. D. R. (2019) · eLife · doi:10.7554/elife.45545 · Cited by 86 · see citing works
Cocaine Triggers Astrocyte-Mediated Synaptogenesis
Wang, J., Li, K.-L., Shukla, A., Beroun, A., Ishikawa, M., Huang, X., Wang, Y., Wang, Y. Q., Yue, Y., Bastola, N. D., et al. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.08.012 · Cited by 81 · see citing works
Microglia as hunters or gatherers of brain synapses
Pereira‐Iglesias, M., Maldonado-Teixidó, J., Melero, A., Piriz, J., Galea, E., Ransohoff, R. M., & Sierra, A. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01818-w · Cited by 81 · see citing works
Bell, M. K., Bartol, T., B, T. J. S. A., & Rangamani, P. (2019) · The Journal of General Physiology · doi:10.1085/jgp.201812261 · Cited by 80 · see citing works
Hippocampal dysfunction and cognitive impairment in Fragile-X Syndrome
Bostrom, C. A., Yau, S., Majaess, N. M., Vetrici, M. A., Gil‐Mohapel, J., & Christie, B. R. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.033 · Cited by 79 · see citing works
Structural neural plasticity evoked by rapid-acting antidepressant interventions
Liao, C., Dua, A. N., Wojtasiewicz, C., Liston, C. M., & Kwan, A. C. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00876-0 · Cited by 77 · see citing works
Persistent Structural Plasticity Optimizes Sensory Information Processing in the Olfactory Bulb
Sailor, K. A., Valley, M. T., Wiechert, M. T., Riecke, H., Sun, G. J., Adams, W., Dennis, J. C., Sharafi, S., Ming, G., Song, H., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.004 · Cited by 77 · see citing works
Control of dendritic spine morphological and functional plasticity by small GTPases.
Woolfrey, K. M., & Srivastava, D. P. (2016) · Neural Plasticity · doi:10.1155/2016/3025948 · Cited by 76 · see citing works
Mechanisms underlying the role of DISC1 in synaptic plasticity
Tropea, D., Hardingham, N. R., Millar, K., & Fox, K. D. (2018) · The Journal of Physiology · doi:10.1113/jp274330 · Cited by 76 · see citing works
Degeneracy in hippocampal physiology and plasticity
Rathour, R. K., & Narayanan, R. (2019) · Hippocampus · doi:10.1002/hipo.23139 · Cited by 75 · see citing works
A stable brain from unstable components: Emerging concepts and implications for neural computation
Chambers, A. R., & Rumpel, S. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.06.005 · Cited by 75 · see citing works
The why and how of sleep-dependent synaptic down-selection
Cirelli, C., & Tononi, G. (2022) · Seminars in Cell & Developmental Biology · doi:10.1016/j.semcdb.2021.02.007 · Cited by 74 · see citing works
Memory Formation Shaped by Astroglia
Zorec, R., Horvat, A., Vardjan, N., & Verkhratsky, A. (2015) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2015.00056 · Cited by 70 · see citing works
Adult neurogenesis beyond the niche: its potential for driving brain plasticity
Sailor, K. A., Schinder, A. F., & Lledo, P. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.12.001 · Cited by 67 · see citing works
Locating the engram: Should we look for plastic synapses or information-storing molecules?
Langille, J. J., & Gallistel, C. R. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2020.107164 · Cited by 67 · see citing works
Trajectory-modulated hippocampal neurons persist throughout memory-guided navigation
Kinsky, N. R., Mau, W., Sullivan, D. W., Levy, S. J., Ruesch, E. A., & Hasselmo, M. E. (2020) · Nature Communications · doi:10.1038/s41467-020-16226-4 · Cited by 66 · see citing works
Complementary encoding of spatial information in hippocampal astrocytes
Curreli, S., Bonato, J., Romanzi, S., Panzeri, S., & Fellin, T. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001530 · Cited by 66 · see citing works
Tjia, M., Yu, X., Jammu, L. S., Lu, J., & Zuo, Y. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00043 · Cited by 66 · see citing works
A Synaptic Framework for the Persistence of Memory Engrams
Rao‐Ruiz, P., Visser, E., Mitrić, M. M., Smit, A. B., & van den Oever, M. C. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.661476 · Cited by 65 · see citing works
Longitudinal Two-Photon Imaging of Dorsal Hippocampal CA1 in Live Mice
Ulivi, A. F., Castello-Waldow, T. P., Weston, G., Yan, L., Yasuda, R., Chen, A., & Attardo, A. (2019) · Journal of Visualized Experiments · doi:10.3791/59598 · Cited by 64 · see citing works
Self-citationQin, Z., Chen, C., He, S., Wang, Y., Tam, K. F., Ip, N. Y., & Qu, J. Y. (2020) · Science Advances · doi:10.1126/sciadv.abc6521 · Cited by 64 · see citing works
Nebeling, F. C., Poll, S., Justus, L. C., Mittag, M., Steffen, J., Keppler, K., & Fuhrmann, M. (2023) · eLife · doi:10.7554/elife.83176 · Cited by 64 · see citing works
Long-Term Consolidation of Ensemble Neural Plasticity Patterns in Hippocampal Area CA1
Attardo, A., Lu, J., Kawashima, T., Okuno, H., Fitzgerald, J. E., Bito, H., & Schnitzer, M. J. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.09.064 · Cited by 63 · see citing works
Self-citationLinking Mitochondria to Synapses: New Insights for Stress-Related Neuropsychiatric Disorders
Jeanneteau, F. D., & Arango-Lievano, M. (2016) · Neural Plasticity · doi:10.1155/2016/3985063 · Cited by 63 · see citing works
Three brain states in the hippocampus and cortex
Kay, K., & Frank, L. M. (2018) · Hippocampus · doi:10.1002/hipo.22956 · Cited by 63 · see citing works
Drifting assemblies for persistent memory: Neuron transitions and unsupervised compensation
Kossio, Y. F. K., Goedeke, S., Klos, C., & Memmesheimer, R.-M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023832118 · Cited by 62 · see citing works
Moscovitch, M., & Gilboa, A. (2021) · doi:10.31234/osf.io/yxbrs · Cited by 62 · see citing works
The molecular memory code and synaptic plasticity: A synthesis
Gershman, S. J. (2023) · Biosystems · doi:10.1016/j.biosystems.2022.104825 · Cited by 61 · see citing works
Qin, S., Farashahi, S. G., Lipshutz, D., Sengupta, A. M., Chklovskii, D. B., & Pehlevan, C. (2023) · Nature Neuroscience · doi:10.1038/s41593-022-01225-z · Cited by 61 · see citing works
Mitigation of helium irradiation-induced brain injury by microglia depletion
Allen, B. D., Syage, A. R., Maroso, M., Baddour, A. A. D., Luong, V., Minasyan, H., Giedzinski, E., West, B. L., Soltész, I., Limoli, C. L., et al. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-020-01790-9 · Cited by 61 · see citing works
Super-wide-field two-photon imaging with a micro-optical device moving in post-objective space
Terada, S.-I., Kobayashi, K., Ohkura, M., Nakai, J., & Matsuzaki, M. (2018) · Nature Communications · doi:10.1038/s41467-018-06058-8 · Cited by 58 · see citing works
Accanto, N., Blot, F. G. C., Lorca-Cámara, A., Zampini, V., Bui, F., Tourain, C., Badt, N., Katz, O., & Emiliani, V. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.030 · Cited by 57 · see citing works
Yang, W., Chini, M., Pöpplau, J. A., Formozov, A., Dieter, A., Piechocinski, P., Rais, C., Morellini, F., Sporns, O., Hanganu‐Opatz, I. L., et al. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001146 · Cited by 56 · see citing works
Super-resolution microscopy: a closer look at synaptic dysfunction in Alzheimer disease
Padmanabhan, P., Kneynsberg, A., & Götz, J. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00531-y · Cited by 55 · see citing works
Synaptic architecture of a memory engram in the mouse hippocampus
Uytiepo, M., Zhu, Y., Bushong, E. A., Chou, K., Polli, F. S., Zhao, E., Keun-young Kim, A., Luu, D., Chang, L., Yang, D. U., et al. (2025) · Science · doi:10.1126/science.ado8316 · Cited by 54 · see citing works
Beta 2-adrenergic receptor activation enhances neurogenesis in Alzheimer′s disease mice
Zhao, P., Chai, G., Wang, Y., & Yasheng, A. (2016) · Neural Regeneration Research · doi:10.4103/1673-5374.193241 · Cited by 54 · see citing works
McKenzie, S., Keene, C. S., Farovik, A., Bladon, J. H., Place, R., Komorowski, R. W., & Eichenbaum, H. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.12.008 · Cited by 53 · see citing works
The mysteries of remote memory
Albo, Z., & Gräff, J. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0029 · Cited by 53 · see citing works
Large-Scale Fluorescence Calcium-Imaging Methods for Studies of Long-Term Memory in Behaving MammalsPreprint
Jercog, P. E., Rogerson, T., & Schnitzer, M. J. (2016) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a021824 · Cited by 53 · see citing works
Self-citation
- Authors
- Attardo, A., Fitzgerald, J. E., & Schnitzer, M. J.
- Affiliations
- Howard Hughes Medical Institute (US)
- Stanford University (US)
- Corresponding author
- Schnitzer, Mark J.
- Venue
- Nature
- Published
- 2015-06-22
- Volume
- 523
- Issue
- 7562
- Pages
- 592-596
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4648621
- OpenAlex
- W1655792606
- Cited by
- 399
- References
- 34
- Citations by year
- 2026: 23 · 2025: 43 · 2024: 29 · 2023: 43 · 2022: 39 · 2021: 45 · 2020: 38 · 2019: 34 · 2018: 31 · 2017: 32 · 2016: 35 · 2015: 7
- FWCI
- 16.33
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute on Aging (R21AG038771)
- National Institute of Mental Health (R21MH092809)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- hippocampal CA1, synaptic plasticity, episodic memory, NMDA receptor, pyramidal neurons, synaptic connectivity, microendoscopy, spine density, adult mice, NMDA receptor blockade
- MeSH terms
- Animals, Endoscopy, Kinetics, Male, Neuronal Plasticity, Synapses, Time Factors, Receptors, N-Methyl-D-Aspartate, Photons, Pyramidal Cells, Neocortex, Dendritic Spines, Mice, CA1 Region, Hippocampal, Memory, Episodic
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