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
Items 101–200 of 321
Ostroff, L. E., Watson, D. J., Cao, G., Parker, P. H., Smith, H., & Harris, K. M. (2018) · Hippocampus · doi:10.1002/hipo.22841 · Cited by 42
Self-citationPersistent modifications of hippocampal synaptic function during remote spatial memory
Pavlowsky, A., Wallace, E. J. C., Fenton, A. A., & Alarcón, J. M. (2016) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2016.08.015 · Cited by 46
Lonskaya, I., Partridge, J. G., Lalchandani, R. R., Chung, A. J., Lee, T., Vicini, S., Hoe, H.-S., Seung Taik, L. I. M., & Conant, K. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069136 · Cited by 46
Clustered structural and functional plasticity of dendritic spines
Lu, J., & Zuo, Y. (2016) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2016.09.008 · Cited by 44
Cao, G., & Harris, K. M. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00297.2014 · Cited by 41
Self-citationRan, Y., Hu, X., Wang, Y., Zhao, N., Zhang, L., Liu, H., & Li, Y. (2017) · Acta Pharmacologica Sinica · doi:10.1038/aps.2017.83 · Cited by 42
Avila, J. A., Alliger, A. A., Carvajal, B. V., Zanca, R. M., Serrano, P. A., & Luine, V. N. (2017) · Hippocampus · doi:10.1002/hipo.22768 · Cited by 41
Dvorkin, R., & Ziv, N. E. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002572 · Cited by 38
Network control through coordinated inhibition
Herstel, L. J., & Wierenga, C. J. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.08.001 · Cited by 45
Vlachos, A., Helias, M., Becker, D., Diesmann, M., & Deller, T. (2013) · Neurobiology of Disease · doi:10.1016/j.nbd.2013.07.018 · Cited by 38
Adaptive control of synaptic plasticity integrates micro- and macroscopic network function
Scott, D. N., & Frank, M. J. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01374-6 · Cited by 40
Hippocampal circuit dysfunction in the Tc1 mouse model of Down syndrome
Witton, J., Padmashri, R., Zinyuk, L. E., Popov, V. I., Kraev, I., Line, S. J., Jensen, T. P., Tedoldi, A., Cummings, D. M., Tybulewicz, V. L. J., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4072 · Cited by 43
Ardalan, M., Wegener, G., Polsinelli, B., Madsen, T. M., & Nyengaard, J. R. (2016) · Hippocampus · doi:10.1002/hipo.22617 · Cited by 38
Pleomorphic linkers as ubiquitous structural organizers of vesicles in axons
Schrod, N., Vanhecke, D., Laugks, U., Stein, V., Fukuda, Y., Schaffer, M., Baumeister, W. P., & Lučić, V. (2018) · PLoS ONE · doi:10.1371/journal.pone.0197886 · Cited by 38
Lushnikova, I., Skibo, G. G., Müller, D., & Nikonenko, I. (2010) · Neuropharmacology · doi:10.1016/j.neuropharm.2010.12.014 · Cited by 38
Postsynaptic protein organization revealed by electron microscopy
Liu, Y.-T., Tao, C.-L., Lau, P.-M., Zhou, Z., & Bi, G. (2019) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2019.02.012 · Cited by 38
Neuron-Targeted Caveolin-1 Promotes Ultrastructural and Functional Hippocampal Synaptic Plasticity
Egawa, J., Zemljic‐Harpf, A. E., Mandyam, C. D., Niesman, I. R., Lysenko, L. V., Kleschevnikov, A. M., Roth, D. M., Patel, H. H., Patel, P. M., & Head, B. P. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx196 · Cited by 36
Multiscale and multimodal reconstruction of cortical structure and functionPreprint
Turner, N. L., Macrina, T., Bae, J. A., Yang, R., Wilson, A. M., Schneider-Mizell, C. M., Lee, K., Lu, R., Wu, J., Bodor, Á. L., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.14.338681 · Cited by 37
Rubinski, A., & Ziv, N. E. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004632 · Cited by 35
The glia doctrine: Addressing the role of glial cells in healthy brain ageing
Nagelhus, E. A., Amiry-Moghaddam, M. R., Bergersen, L. H., Bjaalie, J. G., Eriksson, J., Gundersen, V., Leergaard, T. B., Morth, J. P., Storm‐Mathisen, J., Torp, R., et al. (2013) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2013.10.001 · Cited by 37
Nava, N., Chen, F., Wegener, G., Popoli, M., & Nyengaard, J. R. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23482 · Cited by 35
Pascual, M., López‐Hidalgo, R., Montagud‐Romero, S., Ureña‐Peralta, J. R., Rodríguez‐Arias, M., & Guerri, C. (2020) · Brain Pathology · doi:10.1111/bpa.12896 · Cited by 36
Local dendritic balance enables learning of efficient representations in networks of spiking neurons
Mikulasch, F. A., Rudelt, L., & Priesemann, V. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2021925118 · Cited by 35
Heterosynaptic cross-talk of pre- and postsynaptic strengths along segments of dendrites
Tong, R., Chater, T. E., Emptage, N. J., & Goda, Y. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108693 · Cited by 32
Rapid effects on memory consolidation and spine morphology by estradiol in female and male rodents
Luine, V. N., Serrano, P. A., & Frankfurt, M. (2018) · Hormones and Behavior · doi:10.1016/j.yhbeh.2018.04.007 · Cited by 39
Structural and Functional Remodeling of Amygdala GABAergic Synapses in Associative Fear Learning
Kasugai, Y., Vogel, E., Hörtnagl, H., Schönherr, S., Paradiso, E., Hauschild, M., Göbel, G., Milenković, I., Peterschmitt, Y., Tasan, R. O., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.08.013 · Cited by 33
Fakira, A. K., Massaly, N., Cohensedgh, O., Berman, A., & Morón, J. A. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.69 · Cited by 32
Modelling plasticity in dendrites: from single cells to networks
Bono, J., Wilmes, K. A., & Clopath, C. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.08.013 · Cited by 33
The glutamatergic synapse: a complex machinery for information processing
Maio, V. D. (2021) · Cognitive Neurodynamics · doi:10.1007/s11571-021-09679-w · Cited by 38
Liu, J., Qi, J., Chen, X., Li, Z., Hong, B., Ma, H., Li, G., Shen, L., Liu, D., Kong, Y., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111151 · Cited by 34
The role of dendritic spines in epileptogenesis
Jean, G., Carton, J., Haq, K., & Musto, A. E. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1173694 · Cited by 32
Gardoni, F., Luca, M. D., Malinverno, M., Marcello, E. E., Verpelli, C., Sala, C., & Luca, M. D. (2012) · Journal of Cell Science · doi:10.1242/jcs.097576 · Cited by 33
Molecular architecture of the presynaptic terminal
Zuber, B., & Lučić, V. (2019) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2019.01.008 · Cited by 33
Jung, J. H., Kirk, L. M., Bourne, J. N., & Harris, K. M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2018653118 · Cited by 32
Self-citation3D Analysis of the Synaptic Organization in the Entorhinal Cortex in Alzheimer’s Disease
Domínguez-Álvaro, M., Montero‐Crespo, M., Blázquez‐Llorca, L., Plaza‐Alonso, S., Cano‐Astorga, N., DeFelipe, J., & Alonso‐Nanclares, L. (2021) · eNeuro · doi:10.1523/eneuro.0504-20.2021 · Cited by 35
eSchuemann, A., eKlawiter, A., Bonhoeffer, T., & Wierenga, C. J. (2013) · Frontiers in Neural Circuits · doi:10.3389/fncir.2013.00113 · Cited by 34
Nava, N., Treccani, G., Liebenberg, N., Chen, F., Popoli, M., Wegener, G., & Nyengaard, J. R. (2015) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyu085 · Cited by 32
Involvement of cellular metabolism in age-related LTP modifications in rat hippocampal slices
Drulis‐Fajdasz, D., Wójtowicz, T., Wawrzyniak, M., Włodarczyk, J., Mozrzymas, J. W., & Rakus, D. (2015) · Oncotarget · doi:10.18632/oncotarget.4188 · Cited by 32
Hu, H. Y., Kruijssen, D. L. H., Frias, C. P., Rózsa, B. J., Hoogenraad, C. C., & Wierenga, C. J. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.078 · Cited by 31
Geometry and the Organizational Principle of Spine Synapses along a Dendrite
Parajuli, L. K., Urakubo, H., Takahashi-Nakazato, A., Ogelman, R., Iwasaki, H., Koike, M., Kwon, H., Ishii, S., Oh, W. C., Fukazawa, Y., et al. (2020) · eNeuro · doi:10.1523/eneuro.0248-20.2020 · Cited by 27
Therapeutic impact of thymoquninone to alleviate ischemic brain injury via Nrf2/HO-1 pathway
Amin, N., Du, X., Chen, S., Ren, Q., Hussien, A. B., Botchway, B. O. A., Hu, Z., & Fang, M. (2021) · Expert Opinion on Therapeutic Targets · doi:10.1080/14728222.2021.1952986 · Cited by 30
Brain is modulated by neuronal plasticity during postnatal development
Kourosh‐Arami, M., Hosseini, N., & Komaki, A. (2021) · The Journal of Physiological Sciences · doi:10.1186/s12576-021-00819-9 · Cited by 36
Savin, C., Dayan, P., & Lengyel, M. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003489 · Cited by 29
Unsupervised Learning of Persistent and Sequential Activity
Pereira, U., & Brunel, N. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2019.00097 · Cited by 30
PKMζ is necessary and sufficient for synaptic clustering of PSD‐95
Shao, C., Sondhi, R., van de Nes, P. S., & Sacktor, T. C. (2011) · Hippocampus · doi:10.1002/hipo.20996 · Cited by 29
Local and global predictors of synapse elimination during motor learning
Hedrick, N. G., Wright, W. J., & Komiyama, T. (2024) · Science Advances · doi:10.1126/sciadv.adk0540 · Cited by 28
Glucocorticoid receptor regulation of action selection and prefrontal cortical dendritic spines
Swanson, A. M., Shapiro, L. P., Whyte, A. J., & Gourley, S. L. (2013) · Communicative & Integrative Biology · doi:10.4161/cib.26068 · Cited by 28
Beamer, E. H., Jurado‐Arjona, J., Jimenez-Mateos, E. M., Morgan, J., Reschke, C. R., Kenny, A., de Leo, G., Olivos-Oré, L. A., Arribas-Blázquez, M., Madden, S. F., et al. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00442 · Cited by 27
Zhang, D., Zhang, C., & Stepanyants, A. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.3218-18.2019 · Cited by 26
3D Ultrastructural Study of Synapses in the Human Entorhinal Cortex
Domínguez-Álvaro, M., Montero‐Crespo, M., Blázquez‐Llorca, L., DeFelipe, J., & Alonso‐Nanclares, L. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa233 · Cited by 34
Grochowska, K. M., Sperveslage, M., Raman, R., Failla, A. V., Głów, D., Schulze, C., Laprell, L., Fehse, B., & Kreutz, M. R. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112998 · Cited by 25
Picallo, C. B., & Riecke, H. (2011) · Physical Review E · doi:10.1103/physreve.83.036206 · Cited by 28
Subsynaptic Domains in Super-Resolution Microscopy: The Treachery of Images
Yang, X., & Specht, C. G. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00161 · Cited by 30
Sun, W., Cheng, H., Yang, Y., Tang, D., Li, X., & An, L. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.678182 · Cited by 24
Synapse-type-specific competitive Hebbian learning forms functional recurrent networks
Eckmann, S., Young, E. J., & Gjorgjieva, J. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2305326121 · Cited by 33
Transient increases in dendritic spine density contribute to dentate gyrus long‐term potentiation
Wosiski‐Kuhn, M., & Stranahan, A. M. (2012) · Synapse · doi:10.1002/syn.21545 · Cited by 25
Sartini, S., Lattanzi, D., Ambrogini, P., Palma, M. D., Galati, C., Savelli, D., Polidori, E., Calcabrini, C., Rocchi, M., Sestili, P., et al. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.11.017 · Cited by 25
Neural oligarchy: how synaptic plasticity breeds neurons with extreme influencePreprint
Kleberg, F. I., & Triesch, J. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/361394 · Cited by 23
The importance of ultrastructural analysis of memory
Borczyk, M., Radwańska, K., & Giese, K.-P. (2021) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2021.04.019 · Cited by 23
Kleinjan, M. S., Buchta, W. C., Ogelman, R., Hwang, I.-W., Kuwajima, M., Hubbard, D. D., Kareemo, D. J., Prikhodko, O., Olah, S. S., Wulschner, L. E. G., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.11.002 · Cited by 23
Self-citationXiao, X., Levy, A. D., Rosenberg, B. J., Higley, M. J., & Koleske, A. J. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4092-15.2016 · Cited by 22
Patch clamp-assisted single neuron lipidomics
Merrill, C. B., Basit, A., Armirotti, A., Jia, Y., Gall, C. M., LYNCH, G. S., & Piomelli, D. (2017) · Scientific Reports · doi:10.1038/s41598-017-05607-3 · Cited by 23
Single Synapse LTP: A Matter of Context?
Kruijssen, D. L. H., & Wierenga, C. J. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00496 · Cited by 26
Synapse-specific structural plasticity that protects and refines local circuits during LTP and LTD
Harris, K. M., Kuwajima, M., Flores, J. C., & Zito, K. (2024) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2023.0224 · Cited by 22
Self-citationGemin, O., Serna, P., Zamith, J., Assendorp, N., Fossati, M., Rostaing, P., Triller, A., & Charrier, C. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001375 · Cited by 25
Axonal CB1 Receptors Mediate Inhibitory Bouton Formation via cAMP Increase and PKA
Liang, J., Kruijssen, D. L. H., Verschuuren, A. C. J., Voesenek, B. J. B., Benavides, F. F. W., González, M. S., Ruiter, M., & Wierenga, C. J. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0851-21.2021 · Cited by 22
Prolactin enhances hippocampal synaptic plasticity in female mice of reproductive age
Zamora‐Moratalla, A., & Martín, E. D. (2020) · Hippocampus · doi:10.1002/hipo.23288 · Cited by 21
Harris, K. M. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0735-19.2019 · Cited by 20
Self-citationA Developmental Switch for Hebbian Plasticity
Martens, M. B., Celikel, T., & Tiesinga, P. H. E. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004386 · Cited by 22
Dietary cholesterol alters memory and synaptic structural plasticity in young rat brain
Ya, B., Liu, W., Feng, G., Zhang, Y., Zhu, B., & Bai, B. (2012) · Neurological Sciences · doi:10.1007/s10072-012-1241-4 · Cited by 22
Zhi, W., Peng, R., Li, H., Zou, Y., Yao, B., Wang, C., Liu, Z.-H., Gao, X.-H., Xu, X., Dong, J., et al. (2017) · Brain Research · doi:10.1016/j.brainres.2017.11.020 · Cited by 19
Marks, W. D., Paris, J. J., Barbour, A. J., Moon, J., Carpenter, V. J., McLane, V. D., Lark, A. R. S., Nass, S. R., Zhang, J., Yarotskyy, V., et al. (2021) · eNeuro · doi:10.1523/eneuro.0547-20.2021 · Cited by 17
Fogarty, M. J., Zhan, W., Simmon, V. F., Vanderklish, P. W., Sarraf, S. T., & Sieck, G. C. (2023) · The Journal of Physiology · doi:10.1113/jp284004 · Cited by 18
From neural to genetic substrates of panic disorder: Insights from human and mouse studies
Santos, M., D’Amico, D., & Dierssen, M. (2015) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2015.03.039 · Cited by 19
Schacher, S., & Hu, J. (2014) · Learning & Memory · doi:10.1101/lm.027326.112 · Cited by 18
Śliwińska, M. A., Cały, A., Borczyk, M., Ziółkowska, M., Skonieczna, E., Chilimoniuk, M., Bernaś, T., Giese, K.-P., & Radwańska, K. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz261 · Cited by 16
McGonigal, R., Tabatadze, N., & Routtenberg, A. (2011) · Hippocampus · doi:10.1002/hipo.20998 · Cited by 18
Adler, A., Lai, C. S. W., Yang, G., Geron, E., Bai, Y., & Gan, W. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2114856118 · Cited by 17
Structural synaptic plasticity across sleep and wake
Bellesi, M., & de Vivo, L. (2019) · Current Opinion in Physiology · doi:10.1016/j.cophys.2019.12.007 · Cited by 15
Jasińska, M., Siucińska, E., Jasek-Gajda, E., Litwin, J. A., Pyza, E., & Kossut, M. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054301 · Cited by 17
Volume electron microscopy analysis of synapses in primary regions of the human cerebral cortex
Cano‐Astorga, N., Plaza‐Alonso, S., DeFelipe, J., & Alonso‐Nanclares, L. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae312 · Cited by 15
Effect of Associative Learning on Memory Spine Formation in Mouse Barrel Cortex
Jasińska, M., Siucińska, E., Jasek-Gajda, E., Litwin, J. A., Pyza, E., & Kossut, M. M. (2015) · Neural Plasticity · doi:10.1155/2016/9828517 · Cited by 14
Insights into age-old questions of new dendritic spines: From form to function
Parajuli, L. K., Tanaka, S., & Okabe, S. (2016) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2016.07.014 · Cited by 15
Influence of active synaptic pools on the single synaptic event
Maio, V. D., Santillo, S., Sorgente, A., Vanacore, P., & Ventriglia, F. (2018) · Cognitive Neurodynamics · doi:10.1007/s11571-018-9483-3 · Cited by 14
Regulation of filial imprinting and structural plasticity by mTORC1 in newborn chickens
Batista, G., Johnson, J. L., Dominguez, E. N., Costa‐Mattioli, M., & Peña, J. L. (2018) · Scientific Reports · doi:10.1038/s41598-018-26479-1 · Cited by 14
Cortical synapses of the world's smallest mammal: An FIB/SEM study in the Etruscan shrew
Alonso‐Nanclares, L., Rodríguez, J., Merchán-Pérez, Á., González‐Soriano, J., Plaza‐Alonso, S., Cano‐Astorga, N., Naumann, R. K., Brecht, M., & DeFelipe, J. (2022) · The Journal of Comparative Neurology · doi:10.1002/cne.25432 · Cited by 12
The synaptic vesicle cluster as a controller of pre‐ and postsynaptic structure and function
Reshetniak, S., Bogaciu, C. A., Bonn, S., Brose, N., Cooper, B. H., D’Este, E., Fauth, M. J., Fernández‐Busnadiego, R., Fiošins, M., Fischer, A., et al. (2024) · The Journal of Physiology · doi:10.1113/jp286400 · Cited by 15
Dendritic Spine Density Scales with Microtubule Number in Rat Hippocampal Dendrites
Harris, K. M., Hubbard, D. D., Kuwajima, M., Abraham, W. C., Bourne, J. N., Bowden, J. B., Haessly, A., Mendenhall, J. M., Parker, P. H., Shi, B., et al. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.02.021 · Cited by 12
Self-citationLatif‐Hernandez, A., Yang, T., Butler, R. R., Losada, P. M., Minhas, P. S., White, H., Tran, K. C., Liu, H., Simmons, D. A., Langness, V. F., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13857 · Cited by 13
Verma, H., Kaur, S., Kaur, S., Gangwar, P., Dhiman, M., & Mantha, A. K. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04053-3 · Cited by 11
Kallikrein 8: A key sheddase to strengthen and stabilize neural plasticity
Shiosaka, S. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104774 · Cited by 12
Chapeton, J. I., Gala, R., & Stepanyants, A. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00074 · Cited by 11
Astrocytic connection to engram neurons Increased after learningPreprint
Kim, J., Sung, Y., Park, H.-J., Choi, D. I., Kim, J., Lee, H., Jung, M. K., Noh, S., Ye, S., Lee, J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.25.525617 · Cited by 11
Kuwajima, M., Ostrovskaya, O. I., Cao, G., Weisberg, S. A., Harris, K. M., & Zemelman, B. V. (2020) · PLoS ONE · doi:10.1371/journal.pone.0226797 · Cited by 10
Self-citationJosephy‐Hernandez, S. E., Pirvulescu, I., Maira, M., Aboulkassim, T., Wong, T. P., McKinney, R. A., & Saragovi, H. U. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218036 · Cited by 10
A binocular synaptic network supports interocular response alignment in visual cortical neurons
Scholl, B., Tepohl, C., Ryan, M. A., Thomas, C. I., Kamasawa, N., & Fitzpatrick, D. (2022) · Neuron · doi:10.1016/j.neuron.2022.01.023 · Cited by 10
Plaza‐Alonso, S., Cano‐Astorga, N., DeFelipe, J., & Alonso‐Nanclares, L. (2025) · eLife · doi:10.7554/elife.96144 · Cited by 10
Auth, J. M., Nachstedt, T., & Tetzlaff, C. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.541728 · Cited by 9
Klein, R. C., Saini, S., Risher, M., Acheson, S. K., Fleming, R. L., Sexton, H. G., Swartzwelder, H. S., & Moore, S. D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094071 · Cited by 8
Iascone, D. M., Li, Y., Sümbül, U., Doron, M., Chen, H., Andreu, V., Goudy, F., Segev, I., Peng, H., & Polleux, F. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/395384 · Cited by 9
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