Long-term plasticity at inhibitory synapses
Open accessAbstract
Experience-dependent modifications of neural circuits and function are believed to heavily depend on changes in synaptic efficacy such as LTP/LTD. Hence, much effort has been devoted to elucidating the mechanisms underlying these forms of synaptic plasticity. Although most of this work has focused on excitatory synapses, it is now clear that diverse mechanisms of long-term inhibitory plasticity have evolved to provide additional flexibility to neural circuits. By changing the excitatory/inhibitory balance, GABAergic plasticity can regulate excitability, neural circuit function and ultimately, contribute to learning and memory, and neural circuit refinement. Here we discuss recent advancements in our understanding of the mechanisms and functional relevance of GABAergic inhibitory synaptic plasticity.
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The underlying molecular mechanisms of I-LTP and I-LTD are variable.
“The underlying molecular mechanisms of I-LTP and I-LTD are variable, but one common feature is that they are often heterosynaptic.”
From NMDA receptor-dependent long-term potentiation and long-term depression (LTP/LTD). (2012) · cites this paper as Castillo et al. 2011
Potentiation and depression of inhibitory transmission (I-LTP/I-LTD) can be observed in the brain.
“Although the vast majority of work on the mechanisms and functions of LTP and LTD have focused on excitatory synapses, potentiation and depression of inhibitory transmission (I-LTP/I-LTD) can also be observed in the brain (Castillo et al. 2011).”
From NMDA receptor-dependent long-term potentiation and long-term depression (LTP/LTD). (2012) · cites this paper as Castillo et al. 2011
I-LTP and I-LTD are often heterosynaptic.
“The underlying molecular mechanisms of I-LTP and I-LTD are variable, but one common feature is that they are often heterosynaptic.”
From NMDA receptor-dependent long-term potentiation and long-term depression (LTP/LTD). (2012) · cites this paper as Castillo et al. 2011
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The endogenous cannabinoid system controls extinction of aversive memories
Marsicano, G., Wotjak, C. T., Azad, S. C., Bisogno, T., Rammes, G., Cascio, M. G., Hermann, H., Tang, J., Hofmann, C., Zieglgänsberger, W., et al. (2002) · Nature · doi:10.1038/nature00839 · Cited by 1,728 · see citing works
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Kittler, J. T., & Moss, S. J. (2003) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(03)00064-3 · Cited by 301 · cited 13× · see citing works
“This form of I-LTP identified at SC–SC inhibitory synapses, like other presynaptic forms of LTP at excitatory synapses such as hippocampal mossy fiber LTP, parallel fiber LTP, and cortico-lateral amygdala LTP (for a recent review, see [53]), requires cAMP/PKA signaling and the active zone protein RIM1a [51].”
InfluentialJovanovic, J. N., Thomas, P., Kittler, J. T., Smart, T. G., & Moss, S. J. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.3606-03.2004 · Cited by 273 · see citing works
Circuitry for associative plasticity in the amygdala involves endocannabinoid signaling
Azad, S. C., Monory, K., Marsicano, G., Cravatt, B. F., Lutz, B., Zieglgänsberger, W., & Rammes, G. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.2134-04.2004 · Cited by 263 · cited 3× · see citing works
“eCB-mediated I-LTD has been identified in the hippocampus [9], amygdala [10,11], dorsal striatum [12], brainstem [13] and visual cortex [14 ].”
Endocannabinoid-mediated long-term plasticity requires cAMP/PKA signaling and RIM1α
Chevaleyre, V., Heifets, B. D., Kaeser, P. S., Südhof, T. C., & Castillo, P. E. (2007) · Neuron · doi:10.1016/j.neuron.2007.05.020 · Cited by 261 · cited 1× · see citing works
“Lateral Amygdala NMDAR-independent Postsynaptic? [92] Developing Auditory Cortex BDNF-TrkB signaling Postsynaptic? [41] I-LTD Hippocampus (CA1) eCB signaling, presynaptic activity, Rim1a Presynaptic [9,15 ,93] Lateral Amygdala eCB signaling, postsynaptic PKA, Rim1a Presynaptic [10,11,93] Prefrontal cortex (L2/3, L5) e…”
Self-citationMelis, M., Camarini, R., Ungless, M. A., & Bonci, A. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-06-02074.2002 · Cited by 196 · see citing works
Interneuron activity controls endocannabinoid-mediated presynaptic plasticity through calcineurin
Heifets, B. D., Chevaleyre, V., & Castillo, P. E. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0711880105 · Cited by 116 · see citing works
Self-citationPresynaptic plasticity: targeted control of inhibitory networks
McBain, C. J., & Kauer, J. A. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.05.008 · Cited by 79 · see citing works
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- Authors
- Castillo, P. E., Chiu, C. Q., & Carroll, R. C.
- Affiliations
- Albert Einstein College of Medicine (US)
- Corresponding author
- Castillo, Pablo E
- Venue
- Current Opinion in Neurobiology
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 21
- Issue
- 2
- Pages
- 328-338
- ISSN
- 0959-4388 (ISSN-L)
- PMC
- PMC3092861
- OpenAlex
- W1972638494
- Cited by
- 222
- References
- 9
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 6 · 2023: 13 · 2022: 14 · 2021: 10 · 2020: 27 · 2019: 11 · 2018: 17 · 2017: 11 · 2016: 18 · 2015: 14 · 2014: 19 · 2013: 29 · 2012: 12
- FWCI
- 2.07
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Opinion in Neurobiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Drug Abuse (R01DA017392)
- 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
- inhibitory plasticity, long-term plasticity, GABAergic synapses, long-term potentiation, long-term depression, excitation-inhibition balance, neural circuit refinement, learning and memory, neuronal excitability
- MeSH terms
- Animals, Humans, Neuronal Plasticity, Synapses
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 ›
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