The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Brain Plasticity Mechanisms and Memory: A Party of Four
Abstract
A defining characteristic of the brain is its remarkable capacity to undergo activity-dependent functional and morphological remodeling via mechanisms of plasticity that form the basis of our capacity to encode and retain memories. Today, it is generally accepted that the neurobiological substrate of memories resides in activity-driven modifications of synaptic strength and structural remodeling of neural networks activated during learning. Since the discovery of long-term potentiation, the role of synaptic strengthening in learning and memory has been the subject of considerable investigation, and numerous studies have provided new insights into how this form of plasticity can subserve memory function. At the same time, other studies have explored the contribution of synaptic elimination or weakening; synaptogenesis, the growth of new synaptic connections and synapse remodeling; and more recently, neurogenesis, the birth and growth of new neurons in the adult brain. In this review, based on work in the hippocampus, the authors briefly outline recent advances in their understanding of the mechanisms and functional role of these four types of brain plasticity in the context of learning and memory. While they have long been considered as alternative mechanisms of plasticity underlying the storage of long-term memories, recent evidence suggests that they are functionally linked, suggesting the mechanisms underlying plasticity in the brain required for the formation and retention of memories are multifaceted. NEUROSCIENTIST 13(5):492—505, 2007. DOI: 10.1177/1073858407302725
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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
Synaptic Plasticity and Memory: An Evaluation of the Hypothesis
Martin, S. J., Grimwood, P. D., & Morris, R. G. M. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.649 · Cited by 2,794
Neural consequences of enviromental enrichment
van Praag, H., Kempermann, G., & Gage, F. H. (2000) · Nature Reviews Neuroscience · doi:10.1038/35044558 · Cited by 2,468
Activity-dependent scaling of quantal amplitude in neocortical neurons
Turrigiano, G. G., Leslie, K. R., Desai, N. S., Rutherford, L. C., & Nelson, S. B. (1998) · Nature · doi:10.1038/36103 · Cited by 2,226
Learning induces long-term potentiation in the hippocampus
Whitlock, J. R., Heynen, A. J., Shuler, M. G., & Bear, M. F. (2006) · Science · doi:10.1126/science.1128134 · Cited by 1,913
The essential role of hippocampal CA1 NMDA receptor-dependent synaptic plasticity in spatial memory.
Tsien, J. Z., Huerta, P. T., & Tonegawa, S. (1996) · Cell · doi:10.1016/s0092-8674(00)81827-9 · Cited by 1,782
Synaptic tagging and long-term potentiation
Frey, U., & Morris, R. G. M. (1997) · Nature · doi:10.1038/385533a0 · Cited by 1,736
Liao, D., Hessler, N. A., & Malinow, R. (1995) · Nature · doi:10.1038/375400a0 · Cited by 1,365
Sweatt, J. D. (2001) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.2001.00054.x · Cited by 1,131
Receptor trafficking and synaptic plasticity
Collingridge, G. L., Isaac, J. T. R., & Wang, Y. T. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1556 · Cited by 1,046
Lemaire, V., Koehl, M., Le Moal, M., & Abrous, D. N. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.20.11032 · Cited by 1,044
Shrinkage of dendritic spines associated with long-term depression of hippocampal synapses
Zhou, Q., Homma, K. J., & Poo, M.-M. (2004) · Neuron · doi:10.1016/j.neuron.2004.11.011 · Cited by 1,025
Kee, N., Teixeira, C. M., Wang, A. H., & Frankland, P. W. (2007) · Nature Neuroscience · doi:10.1038/nn1847 · Cited by 875
Arc/Arg3.1 Is Essential for the Consolidation of Synaptic Plasticity and Memories
Plath, N., Ohana, O., Dammermann, B., Errington, M. L., Schmitz, D., Gross, C., Mao, X., Engelsberg, A., Mahlke, C., Welzl, H., et al. (2006) · Neuron · doi:10.1016/j.neuron.2006.08.024 · Cited by 827
Independent cellular processes for hippocampal memory consolidation and reconsolidation
Lee, J. L. C., Everitt, B. J., & Thomas, K. L. (2004) · Science · doi:10.1126/science.1095760 · Cited by 825
Regulation of AMPA receptor endocytosis by a signaling mechanism shared with LTD
Beattie, E. C., Carroll, R. C., Yu, X., Morishita, W., Yasuda, H., von Zastrow, M., & Malenka, R. C. (2000) · Nature Neuroscience · doi:10.1038/81823 · Cited by 745
Alberini, C. M. (2005) · Trends in Neurosciences · doi:10.1016/j.tins.2004.11.001 · Cited by 594
Impaired Spatial Learning after Saturation of Long-Term Potentiation
Moser, E. I., Krobert, K. A., Moser, M.-B., & Morris, R. G. M. (1998) · Science · doi:10.1126/science.281.5385.2038 · Cited by 505
Experience-driven brain plasticity: Beyond the synapse
MARKHAM, J. A., & GREENOUGH, W. T. (2004) · Neuron Glia Biology · doi:10.1017/s1740925x05000219 · Cited by 437
Homeostatic plasticity and NMDA receptor trafficking
Pérez-Otaño, I., & Ehlers, M. D. (2005) · Trends in Neurosciences · doi:10.1016/j.tins.2005.03.004 · Cited by 356
Structural changes at dendritic spine synapses during long-term potentiation
Harris, K. M., Fiala, J. C., & Ostroff, L. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1254 · Cited by 180
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Evidence for a cytokine model of cognitive function
McAfoose, J., & Baune, B. T. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.10.005 · Cited by 760
Learning in the fast lane: new insights into neuroplasticity
Sagi, Y., Tavor, I., Hofstetter, S., Tzur-Moryosef, S., Blumenfeld-Katzir, T., & Assaf, Y. (2012) · Neuron · doi:10.1016/j.neuron.2012.01.025 · Cited by 517
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Gladding, C. M., Fitzjohn, S. M., & Molnár, E. (2009) · Pharmacological Reviews · doi:10.1124/pr.109.001735 · Cited by 233
The role of diffusion MRI in neuroscience
Assaf, Y., Johansen‐Berg, H., & Thiebaut de Schotten, M. (2019) · NMR in Biomedicine · doi:10.1002/nbm.3762 · Cited by 158
Metadata
- Authors
- Bruel-Jungerman, E., Davis, S., & Laroche, S.
- Venue
- The Neuroscientist
- Publisher
- SAGE Publications
- Published
- 2007-10
- Volume
- 13
- Issue
- 5
- Pages
- 492-505
- ISSN
- 1073-8584 (ISSN-L)
- 1089-4098
- OpenAlex
- W2115462216
- Cited by
- 255
- References
- 21
- FWCI
- 8.04
- Type
- journal article
- Language
- en
- Open access
- closed
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