The rostromedial tegmental (RMTg) “brake” on dopamine and behavior: A decade of progress but also much unfinished work
Open accessAbstract
Between 2005 and 2009, several research groups identified a strikingly dense inhibitory input to midbrain dopamine neurons arising from a previously uncharted region posterior to the ventral tegmental area (VTA). This region is now denoted as either the rostromedial tegmental nucleus (RMTg) or the "tail of the VTA" (tVTA), and is recognized to express distinct genetic markers, encode negative "prediction errors" (inverse to dopamine neurons), and play critical roles in behavioral inhibition and punishment learning. RMTg neurons are also influenced by many categories of abused drugs, and may drive some aversive responses to such drugs, particularly cocaine and alcohol. However, despite much progress, many important questions remain about RMTg molecular/genetic properties, diversity of projection targets, and applications to addiction, depression, and other neuropsychiatric disorders. This article is part of the special Issue on 'Neurocircuitry Modulating Drug and Alcohol Abuse'.
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The consequences of lateral habenula activity are largely mediated by its output to the RMTg.
“The consequences of LHb activity are largely mediated by its output to the RMTg [261].”
From Plasticity of synapses and reward circuit function in the genesis and treatment of depression (2023) · cites this paper as [261]
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Huff, M. L., & LaLumiere, R. T. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.260 · Cited by 32 · see citing works
Sheth, C. S., Furlong, T. M., Keefe, K. A., & Taha, S. A. (2016) · Psychopharmacology · doi:10.1007/s00213-016-4406-7 · Cited by 26 · see citing works
Sun, Y., Cao, J., Xu, C., Liu, X., Wang, Z., & Zhao, H. (2020) · Experimental Neurology · doi:10.1016/j.expneurol.2020.113433 · Cited by 25 · see citing works
The rostromedial tegmental nucleus modulates the development of stress-induced helpless behavior
Elmer, G. I., Palacorolla, H., Mayo, C. L., Brown, P. L., Jhou, T. C., Brady, D. L., & Shepard, D. S. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.06.014 · Cited by 23 · see citing works
Self-citationFaivre, F., Sánchez-Catalán, M. J., Doveró, S., Bido, S., Joshi, A., Bézard, E., & Barrot, M. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104818 · Cited by 23 · see citing works
PTEN-5-HT2C coupling: a new target for treating drug addiction
Maillet, J., ZHANG, Y., LI, X., et al. (2008) · Progress in brain research · doi:10.1016/s0079-6123(08)00920-5 · Cited by 17 · see citing works
Cruz, A. M., Spencer, H. F., Kim, T. H., Jhou, T. C., & Smith, R. J. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-00909-z · Cited by 16 · see citing works
Self-citationParrilla-Carrero, J., Eid, M., Li, H., Chao, Y. S., & Jhou, T. C. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1847-20.2021 · Cited by 13 · see citing works
Self-citationNicotine Increases Spontaneous Glutamate Release in the Rostromedial Tegmental Nucleus
Castillo-Rolón, D., Ramírez-Sánchez, E., Arenas-López, G., Garduño, J., Hernández-González, O., Mihailescu, S., & Hernández‐López, S. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.604583 · Cited by 12 · see citing works
Pradel, K., Drwiȩga, G., & Błasiak, T. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1556-20.2021 · Cited by 12 · see citing works
Zhao, Y.-N., Yan, Y.-D., Wang, C.-Y., Qu, W., Jhou, T. C., Huang, Z., & Yang, S.-R. (2020) · Nature and Science of Sleep · doi:10.2147/nss.s278026 · Cited by 10 · see citing works
Self-citationSaddoris, M. P., Siletti, K. A., Stansfield, K. J., & Bercum, F. M. (2018) · Learning & Memory · doi:10.1101/lm.047019.117 · Cited by 5 · see citing works
Buie, N. E., Sodha, D., Scheinman, S. B., & Steidl, S. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.112340 · Cited by 3 · see citing works
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Plasticity of synapses and reward circuit function in the genesis and treatment of depression
Thompson, S. M. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-022-01422-1 · Cited by 40 · see citing works
Strickland, J. C., Gipson, C. D., & Dunn, K. E. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.835816 · Cited by 31 · see citing works
- Authors
- Jhou, T. C.
- Affiliations
- Medical University of South Carolina (US)
- Corresponding author
- Jhou, Thomas C.
- ORCID
- Jhou, Thomas C.
- Venue
- Neuropharmacology
- Publisher
- Elsevier BV
- Published
- 2021-10
- Volume
- 198
- Pages
- 108763
- ISSN
- 0028-3908 (ISSN-L)
- PMC
- PMC8593889
- OpenAlex
- W3196076979
- Cited by
- 40
- References
- 110
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 9 · 2023: 3 · 2022: 15 · 2021: 1
- FWCI
- 1.06
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 337 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuropharmacology (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Drug Abuse (R01DA037327, R03DA034431, R21DA032898)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- rostromedial tegmental nucleus, midbrain dopaminergic neurons, behavioral inhibition, punishment learning, drug abuse, cocaine, alcohol, depression, neuropsychiatric disorders
- MeSH terms
- Animals, Behavior, Behavior, Animal, Dopamine, Humans, Tegmentum Mesencephali, Ventral Tegmental Area, Substance-Related Disorders, Dopaminergic Neurons
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.
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