The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Selective Activation of Cholinergic Interneurons Enhances Accumbal Phasic Dopamine Release: Setting the Tone for Reward Processing
Open accessAbstract
Dopamine plays a critical role in motor control, addiction, and reward-seeking behaviors, and its release dynamics have traditionally been linked to changes in midbrain dopamine neuron activity. Here, we report that selective endogenous cholinergic activation achieved via in vitro optogenetic stimulation of nucleus accumbens, a terminal field of dopaminergic neurons, elicits real-time dopamine release. This mechanism occurs via direct actions on dopamine terminals, does not require changes in neuron firing within the midbrain, and is dependent on glutamatergic receptor activity. More importantly, we demonstrate that in vivo selective activation of cholinergic interneurons is sufficient to elicit dopamine release in the nucleus accumbens. Therefore, the control of accumbal extracellular dopamine levels by endogenous cholinergic activity results from a complex convergence of neurotransmitter/neuromodulator systems that may ultimately synergize to drive motivated behavior.
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Cites
Dopamine, learning and motivation.
Wise, R. A. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1406 · Cited by 3,379 · cited 1×
“The mesolimbic dopamine system, comprised mainly of the rostral dopaminergic projection from the ventral tegmental area to the nucleus accumbens, (Wise, 2004; Sulzer, 2011), is crucial for decision making, motivated behaviors, and addiction.”
Schultz, W. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.03.007 · Cited by 1,028
Turken, A. U., & Dronkers, N. F. (2011) · Frontiers in System Neuroscience · doi:10.3389/fnsys.2011.00001 · Cited by 1,012
Preferential activation of midbrain dopamine neurons by appetitive rather than aversive stimuli
Mirenowicz, J., & Schultz, W. (1996) · Nature · doi:10.1038/379449a0 · Cited by 829
Aosaki, T., Tsubokawa, H., Ishida, A., Watanabe, K., Graybiel, A., & Kimura, M. (1994) · The Journal of Neuroscience · doi:10.1523/jneurosci.14-06-03969.1994 · Cited by 599
Roesch, M. R., Calu, D. J., & Schoenbaum, G. (2007) · Nature Neuroscience · doi:10.1038/nn2013 · Cited by 597
Nicotine amplifies reward-related dopamine signals in striatum
Rice, M. E., & Cragg, S. J. (2004) · Nature Neuroscience · doi:10.1038/nn1244 · Cited by 594
Endogenous nicotinic cholinergic activity regulates dopamine release in the striatum
Zhou, F.-M., Liang, Y., & Dani, J. A. (2001) · Nature Neuroscience · doi:10.1038/nn769 · Cited by 585
How Addictive Drugs Disrupt Presynaptic Dopamine Neurotransmission
Sulzer, D. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.010 · Cited by 581
Coincident but Distinct Messages of Midbrain Dopamine and Striatal Tonically Active Neurons
Morris, G., Arkadir, D., Nevet, A., Vaadia, E., & Bergman, H. (2004) · Neuron · doi:10.1016/j.neuron.2004.06.012 · Cited by 574
Cited by
Berke, J. D. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0152-y · Cited by 904
Fields, H. L., & Margolis, E. B. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.01.002 · Cited by 432
Striatal dopamine neurotransmission: Regulation of release and uptake
Sulzer, D., Cragg, S. J., & Rice, M. E. (2016) · Basal Ganglia · doi:10.1016/j.baga.2016.02.001 · Cited by 382
Chuhma, N., Mingote, S., Moore, H., & Rayport, S. (2014) · Neuron · doi:10.1016/j.neuron.2013.12.027 · Cited by 233
The molecular and cellular mechanisms of depression: a focus on reward circuitry
Fox, M. E., & Lobo, M. K. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0415-3 · Cited by 232
Metadata
- Authors
- Cachope, R., Mateo, Y., Mathur, B. N., Irving, J., Wang, H.-L., Morales, M., Lovinger, D. M., & Cheer, J. F.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 2
- Issue
- 1
- Pages
- 33-41
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W2105987091
- Cited by
- 517
- References
- 46
- FWCI
- 11.17
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Cachope, R., Mateo, Y., Mathur, B. N., Irving, J., Wang, H.-L., Morales, M., Lovinger, D. M., & Cheer, J. F. (2012). Selective Activation of Cholinergic Interneurons Enhances Accumbal Phasic Dopamine Release: Setting the Tone for Reward Processing. Cell Reports. https://doi.org/10.1016/j.celrep.2012.05.011
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.