The DOI matches its Crossref record; 136 of the 138 references it cites were found in a registry or an index.
Coordination of size and number of excitatory and inhibitory synapses results in a balanced structural plasticity along mature hippocampal CA1 dendrites during LTP
Open accessAbstract
Enlargement of dendritic spines and synapses correlates with enhanced synaptic strength during long‐term potentiation (LTP), especially in immature hippocampal neurons. Less clear is the nature of this structural synaptic plasticity on mature hippocampal neurons, and nothing is known about the structural plasticity of inhibitory synapses during LTP. Here the timing and extent of structural synaptic plasticity and changes in local protein synthesis evidenced by polyribosomes were systematically evaluated at both excitatory and inhibitory synapses on CA1 dendrites from mature rats following induction of LTP with theta‐burst stimulation (TBS). Recent work suggests dendritic segments can act as functional units of plasticity. To test whether structural synaptic plasticity is similarly coordinated, we reconstructed from serial section transmission electron microscopy all of the spines and synapses along representative dendritic segments receiving control stimulation or TBS‐LTP. At 5 min after TBS, polyribosomes were elevated in large spines suggesting an initial burst of local protein synthesis, and by 2 h only those spines with further enlarged synapses contained polyribosomes. Rapid induction of synaptogenesis was evidenced by an elevation in asymmetric shaft synapses and stubby spines at 5 min and more nonsynaptic filopodia at 30 min. By 2 h, the smallest synaptic spines were markedly reduced in number. This synapse loss was perfectly counterbalanced by enlargement of the remaining excitatory synapses such that the summed synaptic surface area per length of dendritic segment was constant across time and conditions. Remarkably, the inhibitory synapses showed a parallel synaptic plasticity, also demonstrating a decrease in number perfectly counterbalanced by an increase in synaptic surface area. Thus, TBS‐LTP triggered spinogenesis followed by loss of small excitatory and inhibitory synapses and a subsequent enlargement of the remaining synapses by 2 h. These data suggest that dendritic segments coordinate structural plasticity across multiple synapses and maintain a homeostatic balance of excitatory and inhibitory inputs through local protein‐synthesis and selective capture or redistribution of dendritic resources. ©2010 Wiley‐Liss, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Stimulated dendritic spines were remodelled over a period of more than 1 hour, leading to enlargement of the existing functional postsynaptic density45 and the presynaptic active zone44.”
From The right time to learn: Mechanisms and optimization of spaced learning (2016) · cites this paper as [45]
In the citing paper
“The resulting increase in the numbers of AMPA-type and NMDA-type glutamate receptors at the synapse correlated with the magnitude of LTP.”
From The right time to learn: Mechanisms and optimization of spaced learning (2016) · cites this paper as [45]
In the citing paper
“Studies using rat hippocampal slices found that LTP induced by multiple trains of theta-burst stimuli was accompanied by extensive remodelling of synaptic ultrastructures44,45”
From The right time to learn: Mechanisms and optimization of spaced learning (2016) · cites this paper as [45]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A synaptic model of memory: long-term potentiation in the hippocampus
Bliss, T. V. P., & Collingridge, G. L. (1993) · Nature · doi:10.1038/361031a0 · Cited by 11,566
Interneurons of the hippocampus
Freund, T. F., & Buzsáki, G. (1998) · Hippocampus · doi:10.1002/(sici)1098-1063(1996)6:4 · Cited by 3,478
Theta oscillations in the hippocampus
Buzsáki, G. (2002) · Neuron · doi:10.1016/s0896-6273(02)00586-x · Cited by 3,332
The Classical Complement Cascade Mediates CNS Synapse Elimination
Stevens, B., Allen, N. J., Vazquez, L. E., Howell, G. R., Christopherson, K. S., Nouri, N., Micheva, K. D., Mehalow, A. K., Huberman, A. D., Stafford, B., et al. (2007) · Cell · doi:10.1016/j.cell.2007.10.036 · Cited by 3,313
Structural basis of long-term potentiation in single dendritic spines
Matsuzaki, M., Honkura, N., Ellis-Davies, G. C. R., & Kasai, H. (2004) · Nature · doi:10.1038/nature02617 · Cited by 2,483
Neuronal Diversity and Temporal Dynamics: The Unity of Hippocampal Circuit Operations
Klausberger, T., & Somogyi, P. (2008) · Science · doi:10.1126/science.1149381 · Cited by 2,050
Synaptic tagging and long-term potentiation
Frey, U., & Morris, R. G. M. (1997) · Nature · doi:10.1038/385533a0 · Cited by 1,736 · cited 1×
“Finally, slices were transferred through propylene oxide at room temperature and then embedded in LX112 and cured for 48 h at 608C in an oven (Harris et al., 2006).”
MethodDendritic spine changes associated with hippocampal long-term synaptic plasticity
Engert, F., & Bonhoeffer, T. (1999) · Nature · doi:10.1038/19978 · Cited by 1,412
A Synaptically Controlled, Associative Signal for Hebbian Plasticity in Hippocampal Neurons
Magee, J. C., & Johnston, D. (1997) · Science · doi:10.1126/science.275.5297.209 · Cited by 1,340
(1976) · Medical Entomology and Zoology · Cited by 1,328
Flagged first, then by citations
2 of the 138 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- 10.1016/S0896-6273(04)00713-5 · DOI
Cited by
Sorted by citations
Local translation in neurons: visualization and function
Holt, C., Martin, K. C., & Schuman, E. (2019) · Nature Structural & Molecular Biology · doi:10.1038/s41594-019-0263-5 · Cited by 463
Ultrastructure of Synapses in the Mammalian BrainPreprint
Harris, K. M., & Weinberg, R. J. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005587 · Cited by 449
Self-citationImpermanence of dendritic spines in live adult CA1 hippocampus
Attardo, A., Fitzgerald, J. E., & Schnitzer, M. J. (2015) · Nature · doi:10.1038/nature14467 · Cited by 399
Structural Components of Synaptic Plasticity and Memory ConsolidationPreprint
Bailey, C. H., Kandel, E. R., & Harris, K. M. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a021758 · Cited by 419
Self-citationThe single dendritic branch as a fundamental functional unit in the nervous system
Branco, T., & Häusser, M. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.07.009 · Cited by 355
Identification of an elaborate complex mediating postsynaptic inhibition
Uezu, A., Kanak, D. J., Bradshaw, T. W. A., Soderblom, E. J., Catavero, C. M., Burette, A. C., Weinberg, R. J., & Soderling, S. H. (2016) · Science · doi:10.1126/science.aag0821 · Cited by 354
Structural and synaptic plasticity in stress-related disorders
Christoffel, D. J., Golden, S. A., & Russo, S. J. (2011) · Reviews in the Neurosciences · doi:10.1515/rns.2011.044 · Cited by 334
The right time to learn: Mechanisms and optimization of spaced learning
Smolen, P., Zhang, Y., & Byrne, J. H. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.18 · Cited by 326
Nanoconnectomic upper bound on the variability of synaptic plasticity
Bartol, T. M., Bromer, C., Kinney, J. P., Chirillo, M. A., Bourne, J. N., Harris, K. M., & B, T. J. S. A. (2015) · eLife · doi:10.7554/elife.10778 · Cited by 341
Self-citationSynaptic circuit remodelling by matrix metalloproteinases in health and disease
Huntley, G. W. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3320 · Cited by 267
Fiete, I., Senn, W., Wang, C. Z.-H., & Hahnloser, R. H. R. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.003 · Cited by 269
The dialectic of Hebb and homeostasis
Turrigiano, G. G. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0258 · Cited by 251
Specht, C. G., Izeddin, I., Rodriguez, P. C., Beheiry, M. E., Rostaing, P., Darzacq, X., Dahan, M., & Triller, A. (2013) · Neuron · doi:10.1016/j.neuron.2013.05.013 · Cited by 245
Computational principles of memory
Chaudhuri, R., & Fiete, I. (2016) · Nature Neuroscience · doi:10.1038/nn.4237 · Cited by 213
Keck, T., Toyoizumi, T., Chen, L., Doiron, B., Feldman, D. E., Fox, K. D., Wulfram Gerstner, B., Haydon, P. G., Hübener, M., Lee, H., et al. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0158 · Cited by 217
Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity
Turner, N. L., Macrina, T., Bae, J. A., Yang, R., Wilson, A. M., Schneider-Mizell, C., Lee, K., Lu, R., Wu, J., Bodor, A. L., et al. (2022) · Cell · doi:10.1016/j.cell.2022.01.023 · Cited by 206
The temporal paradox of Hebbian learning and homeostatic plasticity
Zenke, F., Gerstner, W., & Ganguli, S. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.03.015 · Cited by 201
Locally coordinated synaptic plasticity of visual cortex neurons in vivo
El‐Boustani, S., Ip, J. P. K., Breton‐Provencher, V., Knott, G. W., Okuno, H., Bito, H., & Sur, M. (2018) · Science · doi:10.1126/science.aao0862 · Cited by 187
The CaMKII/NMDAR complex as a molecular memory
Sanhueza, M., & Lisman, J. (2013) · Molecular Brain · doi:10.1186/1756-6606-6-10 · Cited by 166
Iascone, D. M., Li, Y., Sümbül, U., Doron, M., Chen, H., Andreu, V., Goudy, F., Blockus, H., Abbott, L. F., Segev, I., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.02.015 · Cited by 177
Thrombospondin receptor α2δ-1 promotes synaptogenesis and spinogenesis via postsynaptic Rac1
Risher, W. C., Kim, N., Koh, S., Choi, J.-E., Mitev, P., Spence, E. F., Pilaz, L., Wang, D., Feng, G., Silver, D. L., et al. (2018) · The Journal of Cell Biology · doi:10.1083/jcb.201802057 · Cited by 162
The interplay between Hebbian and homeostatic synaptic plasticity
Vitureira, N., & Goda, Y. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201306030 · Cited by 152
Corticosteroid-Induced Neural Remodeling Predicts Behavioral Vulnerability and Resilience
Gourley, S. L., Swanson, A. M., & Koleske, A. J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2138-12.2013 · Cited by 156
Spatial and Working Memory Is Linked to Spine Density and Mushroom Spines
Mahmmoud, R. R., Sase, S., Aher, Y. D., Sase, A., Gröger, M., Mokhtar, M., Höger, H., & Lübec, G. (2015) · PLoS ONE · doi:10.1371/journal.pone.0139739 · Cited by 153
Heterosynaptic Structural Plasticity on Local Dendritic Segments of Hippocampal CA1 Neurons
Oh, W. C., Parajuli, L. K., & Zito, K. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.12.016 · Cited by 147
Smith, H., Bourne, J. N., Cao, G., Chirillo, M. A., Ostroff, L. E., Watson, D. J., & Harris, K. M. (2016) · eLife · doi:10.7554/elife.15275 · Cited by 151
Self-citationInhibitory synaptic plasticity: spike timing-dependence and putative network function
Vogels, T. P., Froemke, R. C., Doyon, N., Gilson, M., Haas, J. S., Liu, R., Maffei, A., Miller, P. C., Wierenga, C. J., Woodin, M. A., et al. (2013) · Frontiers in Neural Circuits · doi:10.3389/fncir.2013.00119 · Cited by 141
LTP-Induced Long-Term Stabilization of Individual Nascent Dendritic Spines
Hill, T. C., & Zito, K. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1404-12.2013 · Cited by 143
Proteostasis in complex dendrites
Hanus, C., & Schuman, E. M. (2013) · Nature reviews. Neuroscience · doi:10.1038/nrn3546 · Cited by 133
Prox, J., Bernreuther, C., Altmeppen, H. C., Grendel, J., Glatzel, M., D’Hooge, R., Stroobants, S., Ahmed, T., Balschun, D., Willem, M., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5910-12.2013 · Cited by 139
Nanoscale Subsynaptic Domains Underlie the Organization of the Inhibitory Synapse
Crosby, K. C., Gookin, S. E., Garcia, J. D., Zent, K. H., Dell’Acqua, M. L., & Smith, K. R. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.02.070 · Cited by 126
Borczyk, M., Śliwińska, M. A., Cały, A., Bernaś, T., & Radwańska, K. (2019) · Scientific Reports · doi:10.1038/s41598-018-38412-7 · Cited by 140
Barnes, S. J., Franzoni, E., Jacobsen, R. I., Erdélyi, F., Szabó, G., Clopath, C., Keller, G. B., & Keck, T. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.052 · Cited by 125
Where is the error? Hierarchical predictive coding through dendritic error computation
Mikulasch, F. A., Rudelt, L., Wibral, M., & Priesemann, V. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.09.007 · Cited by 141
Pereira, A. C., Lambert, H. K., Grossman, Y. S., Dumitriu, D., Waldman, R., Jannetty, S. K., Calakos, K., Janssen, W. G., McEwen, B. S., & Morrison, J. H. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421285111 · Cited by 116
Primed to Sleep: The Dynamics of Synaptic Plasticity Across Brain States
Seibt, J., & Frank, M. G. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2019.00002 · Cited by 120
Cortés‐Mendoza, J., de León‐Guerrero, S. D., Pedraza‐Alva, G., & Pérez‐Martínez, L. (2013) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2013.04.003 · Cited by 117
Inferring learning rules from distributions of firing rates in cortical neurons
Lim, S., McKee, J. L., Woloszyn, L., Amit, Y., Freedman, D. J., Sheinberg, D. L., & Brunel, N. (2015) · Nature Neuroscience · doi:10.1038/nn.4158 · Cited by 110
Pennacchietti, F., Vascon, S., Nieus, T. R., Rosillo, C., Das, S., Tyagarajan, S. K., Diaspro, A., Bue, A. D., Petrini, E. M., Barberis, A., et al. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0514-16.2016 · Cited by 112
Assembly of Excitatory Synapses in the Absence of Glutamatergic Neurotransmission
Sando, R. C., Bushong, E. A., Zhu, Y., Huang, M., Considine, C., Phan, S., Ju, S., Uytiepo, M., Ellisman, M. H., & Maximov, A. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.047 · Cited by 116
Cortical response selectivity derives from strength in numbers of synapses
Scholl, B., Thomas, C. I., Ryan, M. A., Kamasawa, N., & Fitzpatrick, D. (2020) · Nature · doi:10.1038/s41586-020-03044-3 · Cited by 102
The aging mouse brain: cognition, connectivity and calcium
Radulescu, C. I., Cerar, V., Haslehurst, P., Kopanitsa, M. V., & Barnes, S. J. (2021) · Cell Calcium · doi:10.1016/j.ceca.2021.102358 · Cited by 109
Keeping your brain in balance: homeostatic regulation of network function
Wen, W., & Turrigiano, G. G. (2024) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092523-110001 · Cited by 137
Risher, M., Fleming, R. L., Risher, W. C., Miller, K. M., Klein, R. C., Wills, T., Acheson, S. K., Moore, S. D., Wilson, W. A., Eroglu, C., et al. (2015) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.12725 · Cited by 104
Opposing Effects of Neuronal Activity on Structural Plasticity
Fauth, M. J., & Tetzlaff, C. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00075 · Cited by 110
Dendritic Spine Elimination: Molecular Mechanisms and Implications
Stein, I. S., & Zito, K. (2018) · The Neuroscientist · doi:10.1177/1073858418769644 · Cited by 110
Calì, C., Agus, M., Kare, K., Boges, D. J., Lehväslaiho, H., Hadwiger, M., & Magistretti, P. J. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101696 · Cited by 99
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 99
McNamara, R. K. (2015) · World Journal of Psychiatry · doi:10.5498/wjp.v5.i1.15 · Cited by 88
Structural LTP: from synaptogenesis to regulated synapse enlargement and clustering
Harris, K. M. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.04.009 · Cited by 85
Self-citationVezzoli, E., Calì, C., De Roo, M., Ponzoni, L., Sogne, E., Gagnon, N., Francolini, M., Braida, D., Sala, M., Muller, D., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz226 · Cited by 79
Synapse rearrangements upon learning: from divergent–sparse connectivity to dedicated sub-circuits
Caroni, P., Chowdhury, A., & Lahr, M. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.08.011 · Cited by 85
Müllner, F. E., Wierenga, C. J., & Bonhoeffer, T. (2015) · Neuron · doi:10.1016/j.neuron.2015.07.003 · Cited by 93
Chirillo, M. A., Waters, M. S., Lindsey, L. F., Bourne, J. N., & Harris, K. M. (2019) · Scientific Reports · doi:10.1038/s41598-019-40520-x · Cited by 84
Self-citationCriticality meets learning: Criticality signatures in a self-organizing recurrent neural network
Papa, B. D., Priesemann, V., & Triesch, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0178683 · Cited by 83
Nanoscale analysis of structural synaptic plasticity
Bourne, J. N., & Harris, K. M. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.10.019 · Cited by 78
Self-citationSwanger, S. A., Yao, X., Groß, C., & Bassell, G. J. (2011) · Molecular Brain · doi:10.1186/1756-6606-4-38 · Cited by 81
F‐actin patches associated with glutamatergic synapses control positioning of dendritic lysosomes
van Bommel, B., Konietzny, A., Kobler, O., Bär, J., & Mikhaylova, M. (2019) · The EMBO Journal · doi:10.15252/embj.2018101183 · Cited by 81
Galli, S., Lopes, D. M., Ammari, R., Kopra, J. J., Millar, S. E., Gibb, A. J., & Salinas, P. C. (2014) · Nature Communications · doi:10.1038/ncomms5992 · Cited by 79
Glasgow, S. D., Labrecque, S., Beamish, I. V., Aufmkolk, S., Gibon, J., Han, D. C., Harris, S. N., Dufresne, P., Wiseman, P. W., McKinney, R. A., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.09.028 · Cited by 84
ROCK1 and ROCK2 inhibition alters dendritic spine morphology in hippocampal neurons
Swanger, S. A., Mattheyses, A. L., Gentry, E. G., & Herskowitz, J. H. (2015) · Cellular Logistics · doi:10.1080/21592799.2015.1133266 · Cited by 81
Arc/Arg3.1 function in long‐term synaptic plasticity: Emerging mechanisms and unresolved issues
Zhang, H., & Bramham, C. R. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14958 · Cited by 73
Wosiski‐Kuhn, M., Erion, J., Gómez-Sánchez, E. P., Gómez-Sánchez, C. E., & Stranahan, A. M. (2014) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.01.020 · Cited by 80
New Views on the Misconstrued: Executioner Caspases and Their Diverse Non-apoptotic Roles
Unsain, N., & Barker, P. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.08.029 · Cited by 77
Shaping inhibition: activity dependent structural plasticity of GABAergic synapses
Flores, C. E., & Méndez, P. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00327 · Cited by 74
Bell, M. E., Bourne, J. N., Chirillo, M. A., Mendenhall, J. M., Kuwajima, M., & Harris, K. M. (2014) · Journal of Comparative Neurology · doi:10.1002/cne.23646 · Cited by 72
Self-citationSzepesi, Z., Bijata, M., Ruszczycki, B., Kaczmarek, L., & Włodarczyk, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063314 · Cited by 72
Kuwajima, M., Mendenhall, J. M., Lindsey, L. F., & Harris, K. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059573 · Cited by 69
Self-citationHebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex
Lindsay, G. W., Rigotti, M., Warden, M. R., Miller, E. K., & Fusi, S. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1222-17.2017 · Cited by 65
Diniz, C. R. A. F., & Crestani, A. P. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01931-x · Cited by 77
Matt, L., Kirk, L. M., Chenaux, G., Speca, D. J., Puhger, K. R., Pride, M. C., Qneibi, M., Haham, T., Plambeck, K. E., Stern-Bach, Y., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.02.026 · Cited by 73
Bourne, J. N., Chirillo, M. A., & Harris, K. M. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23384 · Cited by 68
Self-citationControl of Long-Term Plasticity by Glutamate Transporters
Valtcheva, S., & Venance, L. (2019) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2019.00010 · Cited by 64
Lin, Y., Yeckel, M. F., & Koleske, A. J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4284-12.2013 · Cited by 64
Miner, D. C., & Triesch, J. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004759 · Cited by 63
Chapman, C. A., Nuwer, J. L., & Jacob, T. C. (2022) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2022.911020 · Cited by 62
Long-term potentiation expands information content of hippocampal dentate gyrus synapses
Bromer, C., Bartol, T. M., Bowden, J. B., Hubbard, D. D., Hanka, D. C., Gonzalez, P. V., Kuwajima, M., Mendenhall, J. M., Parker, P. H., Abraham, W. C., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1716189115 · Cited by 60
Self-citationELECTRON IMAGING TECHNOLOGY FOR WHOLE BRAIN NEURAL CIRCUIT MAPPING
Hayworth, K. J. (2012) · International Journal of Machine Consciousness · doi:10.1142/s1793843012400057 · Cited by 62
Hartmann, C., Lazăr, A., Nessler, B., & Triesch, J. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004640 · Cited by 61
Sleep, synaptic homeostasis and neuronal firing rates
Cirelli, C. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.03.016 · Cited by 64
Robust development of synfire chains from multiple plasticity mechanisms
Zheng, P., & Triesch, J. (2014) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2014.00066 · Cited by 61
LTP enhances synaptogenesis in the developing hippocampus
Watson, D. J., Ostroff, L. E., Cao, G., Parker, P. H., Smith, H., & Harris, K. M. (2015) · Hippocampus · doi:10.1002/hipo.22536 · Cited by 55
Self-citationCompetition for synaptic building blocks shapes synaptic plasticity
Triesch, J., Vo, A. D., & Hafner, A. (2018) · eLife · doi:10.7554/elife.37836 · Cited by 50
Biochemical principles underlying the stable maintenance of LTP by the CaMKII/NMDAR complex
Lisman, J. E., & Raghavachari, S. (2014) · Brain Research · doi:10.1016/j.brainres.2014.12.010 · Cited by 54
Harris, K. M., Špaček, J., Bell, M. E., Parker, P. H., Lindsey, L. F., Baden, A. D., Vogelstein, J. T., & Burns, R. C. (2015) · Scientific Data · doi:10.1038/sdata.2015.46 · Cited by 51
Self-citationActin remodeling, the synaptic tag and the maintenance of synaptic plasticity
Pinho, J., Marcut, C. F., & Fonseca, R. (2020) · IUBMB Life · doi:10.1002/iub.2261 · Cited by 50
Three-dimensional synaptic Organization of Layer III of the human temporal neocortex
Cano-Astorga, N., DeFelipe, J., & Alonso-Nanclares, L. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab120 · Cited by 49
Motor Skill Training Induces Coordinated Strengthening and Weakening between Neighboring Synapses
Lee, K. J., Park, I., Kim, H., Greenough, W. T., Pak, D. T. S., & Rhyu, I. J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0848-12.2013 · Cited by 49
Cytoskeletal makeup of the synapse: Shaft versus spine
Bucher, M., Fanutza, T., & Mikhaylova, M. (2019) · Cytoskeleton · doi:10.1002/cm.21583 · Cited by 51
Yadav, A., Gao, Y. Z., Rodriguez, A., Dickstein, D. L., Wearne, S. L., Luebke, J. I., Hof, P. R., & Weaver, C. M. (2012) · The Journal of Comparative Neurology · doi:10.1002/cne.23070 · Cited by 49
Backpropagating Action Potentials Enable Detection of Extrasynaptic Glutamate by NMDA Receptors
Wu, Y., Grebenyuk, S. E., McHugh, T. J., Rusakov, D. A., & Semyanov, A. V. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.03.007 · Cited by 46
Atkin, G., Moore, S. J., Lü, Y., Nelson, R. F., Tipper, N., Rajpal, G., Hunt, J. F. V., Tennant, W., Hell, J. W., Murphy, G. G., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3013-14.2015 · Cited by 46
Yang, Y., & Liu, J. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102534 · Cited by 49
Ravasenga, T., Ruben, M., Regio, V., Polenghi, A., Petrini, E. M., & Barberis, A. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110347 · Cited by 48
Translational control of auditory imprinting and structural plasticity by eIF2α
Batista, G., Johnson, J. L., Dominguez, E. N., Costa‐Mattioli, M., & Peña, J. L. (2016) · eLife · doi:10.7554/elife.17197 · Cited by 45
Aziz, W., Kraev, I., Mizuno, K., Kirby, A. J., Fang, T., Rupawala, H., Kasbi, K., Rothe, S., Jozsa, F., Rosenblum, K., et al. (2019) · Current Biology · doi:10.1016/j.cub.2019.08.064 · Cited by 45
Kuwajima, M., Mendenhall, J. M., & Harris, K. M. (2012) · Methods in molecular biology · doi:10.1007/978-1-62703-137-0_15 · Cited by 44
Self-citationStructural plasticity of dendritic secretory compartments during LTP-induced synaptogenesis
Kulik, Y. D., Watson, D. J., Cao, G., Kuwajima, M., & Harris, K. M. (2019) · eLife · doi:10.7554/elife.46356 · Cited by 46
Self-citationKuwajima, M., Špaček, J., & Harris, K. M. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.04.061 · Cited by 45
Self-citationGlial glutamate transport modulates dendritic spine head protrusions in the hippocampus
Verbich, D., Prenosil, G., Chang, P. K. ‐., Murai, K. K., & McKinney, R. A. (2012) · Glia · doi:10.1002/glia.22335 · Cited by 48
Metadata
- Authors
- Bourne, J. N., & Harris, K. M.
- Affiliations
- The University of Texas at Austin (US)
- Corresponding author
- Harris, Kristen M.
- Venue
- Hippocampus
- Publisher
- Wiley
- Published
- 2011-03-28
- Volume
- 21
- Issue
- 4
- Pages
- 354-373
- ISSN
- 1050-9631 (ISSN-L)
- 1098-1063
- PMC
- PMC2891364
- OpenAlex
- W2135208959
- Cited by
- 318
- References
- 138
- Citations by year
- 2026: 17 · 2025: 21 · 2024: 17 · 2023: 10 · 2022: 22 · 2021: 18 · 2020: 27 · 2019: 29 · 2018: 18 · 2017: 24 · 2016: 19 · 2015: 33 · 2014: 17 · 2013: 21 · 2012: 13
- FWCI
- 5.95
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Hippocampus (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH095980, R01MH104319)
- National Institute of Neurological Disorders and Stroke (R01NS033574, R01NS021184, NS21184, R01NS074644, NS33574, R37NS021184)
- National Institute of Biomedical Imaging and Bioengineering (EB002170, R01EB002170)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- long-term potentiation, structural synaptic plasticity, dendritic spines, inhibitory synapses, excitatory synapses, hippocampal CA1, theta burst stimulation, local protein synthesis, polysomes, spinogenesis, synaptic loss, synaptic homeostasis, filopodia
- MeSH terms
- Animals, Male, Synaptic Transmission, Neurons, Synapses, Time Factors, Long-Term Potentiation, Rats, Long-Evans, Microscopy, Electron, Transmission, Dendritic Spines, Rats, CA1 Region, Hippocampal
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
