The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Dopamine Signaling Differences in the Nucleus Accumbens and Dorsal Striatum Exploited by Nicotine
Open accessAbstract
The dorsal striatum and the nucleus accumbens (NAc) shell of the ventral striatum have similar cellular components and are both richly innervated by dopamine neurons. Despite similarities that extend throughout the striatum, only the NAc shell has a conspicuous increase in basal dopamine upon the initial administration of psychostimulant drugs such as nicotine. As measured by microdialysis, the elevated dopamine in the NAc shell is considered an identifying functional characteristic of addictive drugs. To examine this general functional difference between nicotine's action on the dorsolateral striatum and NAc shell, we directly monitored dopamine release in rat striatal slices using fast-scan cyclic voltammetry. In addition, we separately monitored the in vivo unit firing activity of putative midbrain dopamine neurons from freely moving rats using chronic multiple tetrodes. Nicotine administration increased the firing frequency of dopamine neurons and specifically increased the number and the length of phasic burst firing. The frequency dependence for dopamine release in the dorsolateral striatum and NAc shell is fundamentally different, enabling mainly the NAc shell to capitalize on the nicotine-induced phasic burst firing by dopamine neurons. Although nicotine decreased low-frequency (tonic) dopamine release in both areas, the increased ratio of phasic bursts relative to tonic firing caused by nicotine boosted the basal dopamine concentration predominantly in the NAc shell. By favoring release from bursts while depressing release from tonic signals, nicotine spreads the range of dopamine signaling and effectively increases the signal-to-noise relationship along dopamine afferents.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
From motivation to action: Functional interface between the limbic system and the motor system
MOGENSON, G., JONES, D., & YIM, C. (1980) · Progress in Neurobiology · doi:10.1016/0301-0082(80)90018-0 · Cited by 2,331
Haber, S. N., Fudge, J. L., & McFarland, N. R. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-06-02369.2000 · Cited by 1,610
Picciotto, M. R., Zoli, M., Rimondini, R., Léna, C., Marubio, L. M., Pich, E. M., Fuxe, K., & Changeux, J.-P. (1998) · Nature · doi:10.1038/34413 · Cited by 1,320
Effects of nicotine on the nucleus accumbens and similarity to those of addictive drugs.
Pontieri, F. E., Tanda, G., Orzi, F., & Chiara, G. D. (1996) · Nature · doi:10.1038/382255a0 · Cited by 1,073
Nucleus accumbens shell and core dopamine: differential role in behavior and addiction
Di Chiara, G. (2002) · Behavioural Brain Research · doi:10.1016/s0166-4328(02)00286-3 · Cited by 996
Unique properties of mesoprefrontal neurons within a dual mesocorticolimbic dopamine system
Lammel, S., Hetzel, A., Häckel, O., Jones, I., Liss, B., & Roeper, J. (2008) · Neuron · doi:10.1016/j.neuron.2008.01.022 · Cited by 976
Dopaminergic modulation of neuronal excitability in the striatum and nucleus accumbens
Nicola, S. M., Surmeier, D. J., & Malenka, R. C. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.185 · Cited by 931
Wise, R. A. (2002) · Neuron · doi:10.1016/s0896-6273(02)00965-0 · Cited by 881
Nicotine activates and desensitizes midbrain dopamine neurons
Pidoplichko, V. I., DeBiasi, M., Williams, J. T., & Dani, J. A. (1997) · Nature · doi:10.1038/37120 · Cited by 769
Self-citationLong-term potentiation of excitatory inputs to brain reward areas by nicotine
Mansvelder, H. D., & McGehee, D. S. (2000) · Neuron · doi:10.1016/s0896-6273(00)00042-8 · Cited by 720
Cited by
Cachope, R., Mateo, Y., Mathur, B. N., Irving, J., Wang, H.-L., Morales, M., Lovinger, D. M., & Cheer, J. F. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.05.011 · Cited by 517
Nicotine addiction and nicotinic receptors: lessons from genetically modified mice
Changeux, J.-P. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2849 · Cited by 453
Reward, addiction, withdrawal to nicotine
De Biasi, M., & Dani, J. A. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113734 · Cited by 366
“…DA neurons via those and other nAChR subtypes (Pidoplichko et al. 1997), and nicotine modifies the firing modes and firing frequency of DA neurons through excitatory and inhibitory inputs and synaptic plasticity (Mameli-Engvall et al. 2006; Schilstrom et al. 2000, 2003; Zhang et al. 2009b).”
BackgroundMethodResultInfluentialSelf-citationNeuronal nicotinic acetylcholine receptor structure and function and response to nicotine
Dani, J. A. (2015) · International Review of Neurobiology · doi:10.1016/bs.irn.2015.07.001 · Cited by 309
Self-citationNeural Systems Governed by Nicotinic Acetylcholine Receptors: Emerging Hypotheses
Miwa, J. M., Freedman, R., & Lester, H. A. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.014 · Cited by 205
Metadata
- Authors
- Zhang, T., Zhang, L., Liang, Y., Siapas, A. G., Zhou, F.-M., & Dani, J. A.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-04-01
- Volume
- 29
- Issue
- 13
- Pages
- 4035-4043
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2014075096
- Cited by
- 164
- References
- 23
- FWCI
- 7.03
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Dopamine Signaling Differences in the Nucleus Accumbens and Dorsal Striatum Exploited by Nicotine. https://app.cochat.ai/papers/10.1523/jneurosci.0261-09.2009
- The paper
- Zhang, T., Zhang, L., Liang, Y., Siapas, A. G., Zhou, F.-M., & Dani, J. A. (2009). Dopamine Signaling Differences in the Nucleus Accumbens and Dorsal Striatum Exploited by Nicotine. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.0261-09.2009
Data sources
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.