Discrete synaptic states define a major mechanism of synapse plasticity
Abstract
Synapses can change their strength in response to afferent activity, a property that might underlie a variety of neural processes such as learning, network synaptic weighting, synapse formation and pruning. Recent work has shown that synapses change their strength by jumping between discrete mechanistic states, rather than by simply moving up and down in a continuum of efficacy. Coincident with this, studies have provided a framework for understanding the potential mechanistic underpinnings of synaptic plastic states. Synaptic plasticity states not only represent a new and fundamental property of CNS synapses, but also can provide a context for understanding outstanding issues in synaptic function, plasticity and development.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
NMDA-Rs regulate the functional state and number of AMPA-Rs by phosphorylation or by changing trafficking of AMPA-R subunits.
“they regulate the functional state and number of AMPA-Rs – by phosphorylation or by changing the trafficking of AMPA-R subunits to and from the cell membrane (Passafaro et al., 2001; Montgomery and Madison, 2004; Bagal et al., 2005).”
From The Computational Anatomy of Psychosis (2013) · cites this paper as Montgomery and Madison, 2004
Cites
AMPA Receptor Trafficking and Synaptic Plasticity
Malinow, R., & Malenka, R. C. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142758 · Cited by 2,588 · see citing works
Stargazin regulates synaptic targeting of AMPA receptors by two distinct mechanisms
Chen, L., Chetkovich, D. M., Petralia, R. S., Sweeney, N. T., Kawasaki, Y., Wenthold, R. J., Bredt, D. S., & Nicoll, R. A. (2000) · Nature · doi:10.1038/35050030 · Cited by 1,111 · see citing works
Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system
Ehlers, M. D. (2003) · Nature Neuroscience · doi:10.1038/nn1013 · Cited by 977 · see citing works
Subunit-specific temporal and spatial patterns of AMPA receptor exocytosis in hippocampal neurons
Passafaro, M., Piëch, V., & Sheng, M. (2001) · Nature Neuroscience · doi:10.1038/nn0901-917 · Cited by 655 · see citing works
Ubiquitination Regulates PSD-95 Degradation and AMPA Receptor Surface Expression
Colledge, M., Snyder, E. M., Crozier, R. A., Soderling, J. A., Jin, Y., Langeberg, L. K., Lu, H., Bear, M. F., & Scott, J. D. (2003) · Neuron · doi:10.1016/s0896-6273(03)00687-1 · Cited by 567 · see citing works
Synaptic transmission and plasticity in the absence of AMPA glutamate receptor GluR2 and GluR3
Meng, Y., Zhang, Y., & Jia, Z. (2003) · Neuron · doi:10.1016/s0896-6273(03)00368-4 · Cited by 251 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Dysconnection in schizophrenia: from abnormal synaptic plasticity to failures of self-monitoring
Stephan, K. E., Friston, K. J., & Frith, C. D. (2009) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn176 · Cited by 1,134 · see citing works
The Computational Anatomy of Psychosis
Adams, R. A., Stephan, K. E., Brown, H. R., Frith, C. D., & Friston, K. J. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00047 · Cited by 850 · see citing works
“This is because they regulate the functional state and number of AMPA-Rs – by phosphorylation or by changing the trafficking of AMPA-R subunits to and from the cell membrane (Passafaro et al., 2001; Montgomery and Madison, 2004; Bagal et al., 2005).”
BackgroundSynaptic plasticity and dysconnection in schizophrenia
Stephan, K. E., Baldeweg, T., & Friston, K. J. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.10.005 · Cited by 841 · see citing works
Transcranial magnetic stimulation and synaptic plasticity: Experimental framework and human models
Thickbroom, G. W. (2007) · Experimental Brain Research · doi:10.1007/s00221-007-0991-3 · Cited by 326 · see citing works
Tao, C.-L., Liu, Y.-T., Sun, R., Zhang, B., Qi, L., Shivakoti, S., Tian, C.-L., Zhang, P., Lau, P.-M., Zhou, Z. H., et al. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.1548-17.2017 · Cited by 207 · see citing works
Modeling ketamine effects on synaptic plasticity during the mismatch negativity
Schmidt, A., Diaconescu, A. O., Kometer, M., Friston, K. J., Stephan, K. E., & Vollenweider, F. X. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs238 · Cited by 109 · see citing works
Pelkey, K. A., Topolnik, L., Yuan, X.-Q., Lacaille, J.-C., & McBain, C. J. (2008) · Neuron · doi:10.1016/j.neuron.2008.11.018 · Cited by 69 · see citing works
- Authors
- Montgomery, J. M., & Madison, D. V.
- Affiliations
- University of Auckland (NZ)
- Stanford Medicine (US)
- Corresponding author
- Madison, Daniel V.
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2004-12
- Volume
- 27
- Issue
- 12
- Pages
- 744-750
- ISSN
- 0166-2236 (ISSN-L)
- OpenAlex
- W2095774626
- Cited by
- 158
- References
- 6
- Citations by year
- 2025: 1 · 2024: 6 · 2023: 3 · 2022: 4 · 2021: 1 · 2020: 4 · 2019: 9 · 2018: 6 · 2017: 6 · 2016: 8 · 2015: 4 · 2014: 14 · 2013: 6 · 2012: 5
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in Neurosciences (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (R01MH065541)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- synaptic plasticity, synaptic efficacy, synaptic development, synaptic pruning, learning
- MeSH terms
- Central Nervous System, Models, Biological, Nerve Tissue Proteins, Neuronal Plasticity, Synapses, Receptors, N-Methyl-D-Aspartate, Receptors, AMPA
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
