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The place of dopamine in the cortico-basal ganglia circuit
Open accessAbstract
The midbrain dopamine (DA) neurons play a central role in developing appropriate goal-directed behaviors, including the motivation and cognition to develop appropriate actions to obtain a specific outcome. Indeed, subpopulations of DA neurons have been associated with these different functions: the mesolimbic, mesocortical, and nigrostriatal pathways. The mesolimbic and nigrostriatal pathways are an integral part of the basal ganglia through its reciprocal connections to the ventral and dorsal striatum respectively. This chapter reviews the connections of the midbrain DA cells and their role in integrating information across limbic, cognitive and motor functions. Emphasis is placed on the interface between these functional domains within the striatum through corticostriatal connections, through the striato-nigro-striatal connection, and through the lateral habenula projection to the midbrain.
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“The striatum is functionally connected to the threat detection system (Haber, 2014).”
From The effects of psychosocial stress on dopaminergic function and the acute stress response (2019) · cites this paper as Haber, 2014
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Dopamine, learning and motivation.
Wise, R. A. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1406 · Cited by 3,379 · cited 1×
“Indeed, subpopulations of DA neurons have been associated with these different functions: the mesolimbic, mesocortical, and nigrostriatal pathways, respectively (Wullner et al., 1994; Sawaguchi, 1995; Goldman-Rakic, 1998; Wise, 2004).”
Bardo, M. T., & Hammer, R. P. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90226-e · Cited by 3,229
Getting formal with dopamine and reward
Schultz, W. (2002) · Neuron · doi:10.1016/s0896-6273(02)00967-4 · Cited by 2,574
Alexander, G. E., Crutcher, M. D., & DeLong, M. R. (1990) · PubMed · Cited by 2,422
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
(1991) · Progress in Brain Research · doi:10.1016/s0079-6123(08)62678-3 · Cited by 1,961
Ehringer, H., & Hornykiewicz, O. (1960) · Journal of Molecular Medicine · doi:10.1007/bf01485901 · Cited by 1,875
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
Self-citationLateral habenula as a source of negative reward signals in dopamine neurons
Matsumoto, M., & Hikosaka, O. (2007) · Nature · doi:10.1038/nature05860 · Cited by 1,292
Cocaine cues and dopamine in dorsal striatum: mechanism of craving in cocaine addiction
Volkow, N. D., Wang, G.-J., Telang, F., Fowler, J. S., Logan, J., Childress, A.-R., Jayne, M., Ma, Y., & Wong, C. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1544-06.2006 · Cited by 1,164
Research works printed but not linked: 3
- Bremer, 1920, Encephalite lethargique avec syndrome Parkinsonien et catatonie, Rev Neurol, 27, 770
- Carter, 1980, Glutamatergic pathways from the medial pre-frontal cortex to the anterior striatum, nucleus accumbens and substantia nigra, Br J Pharmacol, 70, 50
- Hassler, 1939, Zur pathologischen anatomie des senilen und des parkinsonistischen tremor, J Psychol Neurol, 13
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Metadata
- Authors
- Haber, S. N.
- Affiliations
- University of Rochester Medicine (US)
- Corresponding author
- Haber, S.N.
- ORCID
- Haber, S.N.
- Venue
- Neuroscience
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 282
- Pages
- 248-257
- ISSN
- 0306-4522 (ISSN-L)
- PMC
- PMC5484174
- OpenAlex
- W2029942338
- Cited by
- 364
- References
- 104
- Citations by year
- 2026: 26 · 2025: 28 · 2024: 26 · 2023: 32 · 2022: 30 · 2021: 46 · 2020: 34 · 2019: 36 · 2018: 32 · 2017: 32 · 2016: 20 · 2015: 21 · 2014: 1
- FWCI
- 2.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIMH (MH045573-24)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Health Sciences › Medicine › Clinical Neurology › Deep Brain Stimulation and Movement Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- dopamine, midbrain dopaminergic neurons, cortico-basal ganglia circuits, mesolimbic system, mesocortical pathway, nigrostriatal pathway, ventral striatum, dorsal striatum, corticostriatal connections, lateral habenula, goal-directed behavior, motivation, cognitive function, motor function, functional integration
- MeSH terms
- Animals, Basal Ganglia, Cerebral Cortex, Dopamine, Mesencephalon, Neural Pathways, Dopaminergic Neurons
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