The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
From ventral-medial to dorsal-lateral striatum: Neural correlates of reward-guided decision-making
Open accessAbstract
The striatum is critical for reward-guided and habitual behavior. Anatomical and interference studies suggest a functional heterogeneity within striatum. Medial regions, such as nucleus accumbens core and dorsal medial striatum play roles in goal-directed behavior, while dorsal lateral striatum is critical for control of habitual action. Subdivisions of striatum are topographically connected with different cortical and subcortical structures forming channels that carry information related to limbic, associative, and sensorimotor functions. Here, we describe data showing that as one progresses from ventral-medial to dorsal-lateral striatum, there is a shift from more prominent value encoding to activity more closely related to associative and motor aspects of decision-making. In addition, we will describe data suggesting that striatal circuits work in parallel to control behavior and that regions within striatum can compensate for each other when functions are disrupted.
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In the citing paper
“striatum dysfunction is an important cause of OCD (53–55)”
From Altered functional connectivity between the cerebellum and the cortico-striato-thalamo-cortical circuit in obsessive-compulsive disorder (2019) · cites this paper as [53]
Experimental — accuracy not yet measuredIn the citing paper
“The striatum has always been suggested to be involved in habit formation and goal-directed action”
From Altered functional connectivity between the cerebellum and the cortico-striato-thalamo-cortical circuit in obsessive-compulsive disorder (2019) · cites this paper as [53]
In the citing paper
“Tract-tracing studies reveal ascending spiral-like connections linking the ventromedial NAc shell and core to more dorsolateral STR (Averbeck et al., 2014, Burton et al., 2015, Haber et al., 2000).”
From Sensitive periods of substance abuse: Early risk for the transition to dependence (2017) · cites this paper as Burton et al., 2015
In the citing paper
“As use transitions to abuse, projections from limbic to associative to sensorimotor cortex gradually recruit involvement from the ventromedial striatum to progressively greater involvement of the dorsomedial to the dorsolateral striatal regions (Fig. 2; Belin and Everitt, 2008, Burton et al., 2015, Everitt and Robbins, 2013, Gremel and Cunningham, 2008, Haber et al., 2006).”
From Sensitive periods of substance abuse: Early risk for the transition to dependence (2017) · cites this paper as Burton et al., 2015
In the citing paper
“Given the importance of caudate and putamen in goal-directed and habitual learning respectively (Balleine et al., 2007, Burton et al., 2015, Cabeza, 2002, Cox and Witten, 2019, Cushman and Morris, 2015, Di Martino et al., 2008, Dolan and Dayan, 2013, Dong et al., 2020)”
From Imbalance between the caudate and putamen connectivity in obsessive–compulsive disorder (2022) · cites this paper as Burton et al., 2015
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Cites
Parallel organization of functionally segregated circuits linking basal ganglia and cortex
Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527
Functional architecture of basal ganglia circuits: neural substrates of parallel processing
Alexander, G. E., & Crutcher, M. D. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90107-l · Cited by 4,131
The reward circuit: linking primate anatomy and human imaging
Haber, S. N., & Knutson, B. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.129 · Cited by 3,718
Alexander, G. E., Crutcher, M. D., & DeLong, M. R. (1990) · PubMed · Cited by 2,422
Dopamine in motivational control: rewarding, aversive, and alerting
Bromberg-Martin, E. S., Matsumoto, M., & Hikosaka, O. (2010) · Neuron · doi:10.1016/j.neuron.2010.11.022 · Cited by 2,396
(1991) · Progress in Brain Research · doi:10.1016/s0079-6123(08)62678-3 · Cited by 1,961
Balleine, B. W., & O'Doherty, J. P. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.131 · Cited by 1,775
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
The primate basal ganglia: Parallel and integrative networks
Haber, S. N. (2003) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2003.10.003 · Cited by 1,479
Ikemoto, S. (2007) · Brain Research Reviews · doi:10.1016/j.brainresrev.2007.05.004 · Cited by 1,477
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Peng, Z., Peng, S., Lin, K., Zhao, B., Wei, L., Tuo, Q., Liao, D., Yuan, T., & Shi, Z. (2022) · Figshare · doi:10.6084/m9.figshare.20315881
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Poulsen, A. S. R. B., Zaer, H., Søgaard, B., Glud, A. N., Sørensen, J. C. H., & Orłowski, D. (2026) · Brain Structure and Function · doi:10.1007/s00429-026-03115-7 · Cited by 1
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Metadata
- Authors
- Burton, A. C., Nakamura, K., & Roesch, M. R.
- Affiliations
- University of Maryland, College Park (US)
- Kansai Medical University (JP)
- Corresponding author
- Roesch, Matthew R.
- Venue
- Neurobiology of Learning and Memory
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 117
- Pages
- 51-59
- ISSN
- 1074-7427 (ISSN-L)
- PMC
- PMC4240773
- OpenAlex
- W2076706946
- Cited by
- 238
- References
- 45
- Citations by year
- 2026: 12 · 2025: 20 · 2024: 16 · 2023: 13 · 2022: 32 · 2021: 26 · 2020: 30 · 2019: 36 · 2018: 22 · 2017: 15 · 2016: 9 · 2015: 5
- FWCI
- 0.97
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Learning and Memory (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIDA
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- striatum, nucleus accumbens core, dorsomedial striatum, value encoding, goal-directed behavior, habitual behavior, striatal circuits, functional compensation
- MeSH terms
- Animals, Decision Making, Humans, Macaca mulatta, Nucleus Accumbens, Psychomotor Performance, Reward, Neostriatum, Rats, Ventral Striatum
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