The DOI matches its Crossref record; 151 of the 152 references it cites were found in a registry or an index.
Dorsal and ventral streams: The distinct role of striatal subregions in the acquisition and performance of goal-directed actions
Open accessAbstract
Considerable evidence suggests that distinct neural processes mediate the acquisition and performance of goal-directed instrumental actions. Whereas a cortical-dorsomedial striatal circuit appears critical for the acquisition of goal-directed actions, a cortical-ventral striatal circuit appears to mediate instrumental performance, particularly the motivational control of performance. Here we review evidence that these distinct mechanisms of learning and performance constitute two distinct 'streams' controlling instrumental conditioning. From this perspective, the regulation of the interaction between these 'streams' becomes a matter of considerable importance. We describe evidence that the basolateral amygdala, which is heavily interconnected with both the dorsal and ventral subregions of the striatum, coordinates this interaction providing input to the final common path to action as a critical component of the limbic-motor interface.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The VS guides performance of goal-directed behaviors (Cardinal et al., 2002a; Yin et al., 2008; Hart et al., 2014)”
From A framework for understanding the emerging role of corticolimbic-ventral striatal networks in OCD-associated repetitive behaviors (2015) · cites this paper as Hart et al., 2014
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
The Rat Brain in Stereotaxic Coordinates
Paxinos, G., & Watson, C. (1983) · Elsevier eBooks · doi:10.1016/c2009-0-63235-9 · Cited by 28,585
Separate visual pathways for perception and action
Goodale, M. A., & Milner, A. D. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90344-8 · Cited by 6,519
AChE-stained horizontal sections of the rat brain in stereotaxic coordinates
Paxinos, G., WATSON, C. R. R., & Emson, P. C. (1980) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(80)90021-7 · Cited by 4,501
What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience?
Berridge, K. C., & Robinson, T. E. (1998) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00019-8 · Cited by 4,127
Ingle, D., Goodale, M. A., & Mansfield, R. J. W. (1982) · The MIT Press eBooks · Cited by 4,118
(1996) · Cited by 3,692
Bardo, M. T., & Hammer, R. P. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90226-e · Cited by 3,229
D 1 and D 2 Dopamine Receptor-regulated Gene Expression of Striatonigral and Striatopallidal Neurons
Gerfen, C. R., Engber, T. M., Mahan, L. C., Susel, Z., Chase, T. N., Monsma, F. J., & Sibley, D. R. (1990) · Science · doi:10.1126/science.2147780 · Cited by 2,967
Object vision and spatial vision: Two cortical pathways
Mishkin, M., Ungerleider, L. G., & Macko, K. A. (1983) · Trends in Neurosciences · doi:10.1016/0166-2236(83)90190-x · Cited by 2,947
Ongur, D. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.206 · Cited by 2,627
Flagged first, then by citations
1 of the 152 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–166 of 166
The nervous system as a solution for implementing closed negative feedback control loops
Sosa, R., & Alcalá, E. (2022) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.736 · Cited by 10
Cheng, R., & Liao, R. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.112364 · Cited by 9
Sitzia, G., & Lovinger, D. M. (2022) · Addiction Neuroscience · doi:10.1016/j.addicn.2022.100056 · Cited by 8
An, S.-Y., Hwang, S.-H., Lee, K., & Kim, H. F. (2024) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2024.102651 · Cited by 8
Ludwiczak, A., Osman, M., & Jahanshahi, M. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112474 · Cited by 13
Chuang, C.-Y., Tsai, S., Chen, S., Yang, Y.-H., Chao, C.-C., Yen, N., & Liao, R. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2020.107352 · Cited by 8
Sable, H. J. K., Paige, N. B., Nalan, P. A., Pace, R. L., Hicks, C. B., Regan, S. L., Williams, M. T., Vorhees, C. V., & Lester, D. B. (2024) · Neuroscience · doi:10.1016/j.neuroscience.2024.12.037 · Cited by 6
The Motivation of Action and the Origins of Reward
Balleine, B. W. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812098-9.00019-x · Cited by 7
Self-citationBrain Mechanisms for Learning and Using Safety Signals
Foilb, A. R., & Christianson, J. P. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813693-5.00011-3 · Cited by 7
Neural and computational mechanisms of loss aversion in smartphone addiction
Wang, J., Liu, C., Li, X., Gao, Y., Jin, W., Wang, P., Chen, X., & Wang, Q. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf150 · Cited by 7
Neuronal ensembles in the amygdala allow social information to motivate later decisions
Kietzman, H. W., Trinoskey-Rice, G., Seo, E. H., Guo, J., & Gourley, S. L. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1848-23.2024 · Cited by 5
Pittaras, E., Artal, J. M., Ajibola, G., Allocca, G., Bennett, M., Camargo, A., Carpio, A., Gessner, N. R., Hinton, M., Pizzitola, R., et al. (2024) · SLEEP · doi:10.1093/sleep/zsae300 · Cited by 5
The sweetness of surrender: Glucose enhances self-control by signaling environmental richness
Levy, N. L. (2016) · Philosophical Psychology · doi:10.1080/09515089.2016.1173202 · Cited by 5
The Learning and Motivational Processes Controlling Goal-Directed Action and Their Neural Bases
Bradfield, L. A., & Balleine, B. W. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-805308-9.00006-3 · Cited by 5
Self-citationRewarding safe choices in peer contexts: Adolescent brain activity during decision making
Hinnant, J. B., McWood, L. M., Yanes, J. A., McCormick, M., Murphy, J. E., Erath, S. A., & Robinson, J. L. (2019) · Biological Psychology · doi:10.1016/j.biopsycho.2019.01.008 · Cited by 8
Socioemotional and Executive Control Mismatch in Adolescence and Risks for Initiating Drinking
Zhao, Q., Milecki, L., Kuceyeski, A. F., Grosenick, L., Brumback, T., Adolf Pfefferbaum, A., Sullivan, E. V., & Pohl, K. M. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.31378 · Cited by 6
Connectome-based prediction of functional impairment in experimental stroke models
Schmitt, O., Eipert, P., Wang, Y., Kanoke, A., Rabiller, G., & Liu, J. (2024) · PLoS ONE · doi:10.1371/journal.pone.0310743 · Cited by 4
Sequential decreases in basolateral amygdala response to threat predict failure to recover from PTSD
Roeckner, A. R., Lin, E. R.-H., Hinrichs, R. C., Harnett, N. G., Lebois, L. A. M., van Rooij, S. J. H., Ely, T. D., Jovanović, T., Murty, V. P., Bruce, S. E., et al. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-025-02115-1 · Cited by 5
Response properties of neurons in the cat’s putamen during auditory discrimination
Zhao, Z., Sato, Y., & Qin, L. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.07.002 · Cited by 4
Conn, K., Zou, S., Das, J., Alexander, S., Burne, T. H. J., & Kesby, J. P. (2023) · Neuropharmacology · doi:10.1016/j.neuropharm.2023.109550 · Cited by 4
Control of Behaviour by Competing Learning Systems
de Wit, S. (2017) · Wiley eBooks · doi:10.1002/9781118920497.ch11 · Cited by 5
Direct and indirect striatal projecting neurons exert strategy-dependent effects on decision-making
Rodriguez, E. C., Naudé, J., Rial, D., & d’Exaerde, A. D. K. (2025) · Science Advances · doi:10.1126/sciadv.adq0484 · Cited by 3
Christensen, M. E., Nørr, S. E., Gether, U., & Rickhag, M. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.11.035 · Cited by 3
Kietzman, H. W., Shapiro, L. P., Trinoskey-Rice, G., & Gourley, S. L. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101097 · Cited by 3
Enhance Your Chance with the TANs: Tonically Active Neurons Support Learning in the Ventral Striatum
Zahar, Y., & Morris, G. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.029 · Cited by 3
Stanc, L. L., Youssov, K., Giavazzi, M., Sliwinski, A., Bachoud-Lévi, A., & Jacquemot, C. (2023) · Cortex; a journal devoted to the study of the nervous system and behavior · doi:10.1016/j.cortex.2023.04.016 · Cited by 3
Sensory Reinforced Corticostriatal Plasticity
Vautrelle, N., Coizet, V., Leriche, M., Dahan, L., Schulz, J. M., Zhang, Y.-F., Zeghbib, A., Overton, P. G., Bracci, E., Redgrave, P., et al. (2023) · Current Neuropharmacology · doi:10.2174/1570159x21666230801110359 · Cited by 3
Positive emotions and reward: Appetitive systems – Amygdala and striatum☆
Levant, B., & Parkinson, J. A. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.04498-6 · Cited by 2
Zhong, R., Ma, L., & Qin, L. (2017) · Scientific Reports · doi:10.1038/s41598-017-00819-z · Cited by 2
Florio, T. M. (2020) · AIMS neuroscience · doi:10.3934/neuroscience.2020010 · Cited by 3
Geha, P., Schulman, B. R. M., Dib‐Hajj, S. D., & Waxman, S. G. (2018) · Neurobiology of Pain · doi:10.1016/j.ynpai.2018.01.002 · Cited by 2
Braun, K., Mannewitz, A., Bock, J., Kreitz, S., Heß, A., Scheich, H., & Goldschmidt, J. (2021) · Brain Sciences · doi:10.3390/brainsci11050659 · Cited by 1
Historical and Modern Perspectives on the Neuroscience of Habits
Ameden, W. C., & Tricomi, E. M. (2024) · Springer eBooks · doi:10.1007/978-3-031-55889-4_10 · Cited by 1
Alcohol Effects on the Dorsal Striatum
Patton, M. H., Shah, A. P., & Mathur, B. N. (2016) · Innovations in cognitive neuroscience · doi:10.1007/978-3-319-42743-0_13 · Cited by 1
The Role of the Reward Recognition Network in Understanding Motivation
Wasserman, T. H., & Wasserman, L. D. (2020) · Springer eBooks · doi:10.1007/978-3-030-58724-6_4 · Cited by 1
Zhang, H.-B., Zheng, H., Zhang, Y., & Zhao, D. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.00049 · Cited by 1
Zhou, H., Shi, H., Li, X., Zhang, J., Sui, X. Y., Zhao, Z., Nie, Z., Wang, Y., Li, J., & Wang, L. (2021) · Research Square · doi:10.21203/rs.3.rs-290339/v1 · Cited by 1
Roeckner, A. R., Lin, E. R.-H., Hinrichs, R. C., Harnett, N. G., Lebois, L. A. M., van Rooij, S. J. H., Ely, T. D., Jovanović, T., Murty, V. P., Bruce, S. E., et al. (2023) · doi:10.31219/osf.io/b7vnq · Cited by 1
Rasgado‐Toledo, J., Ángeles-Valdéz, D., Carranza‐Aguilar, C. J., López-Castro, A., Trujillo-Villarreal, L. A., Medina-Sánchez, D., Serrano-Ramirez, M. S., Elizarraras-Herrera, A. D., Alcauter, S., Delint‐Ramírez, I., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.13.638122 · Cited by 1
Hegefeld, H., & Davidow, J. Y. (2025) · eLife · doi:10.7554/elife.108428.1 · Cited by 1
Anatomy and Function of Synaptic Zinc in the Striatum
Thackray, S. E. (2015) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/24841
Stubbendorff, C. (2016) · Figshare
Wasserman, T. H., & Wasserman, L. D. (2016) · Springer eBooks · doi:10.1007/978-3-319-30910-1_12
Introduction to Neurocognitive Learning Therapy
Wasserman, T. H., & Wasserman, L. D. (2017) · Springer eBooks · doi:10.1007/978-3-319-60849-5_1
Die Wirkungen von akutem Stress auf Erlernen und Abruf erlernter Handlungs-Ergebnis-Beziehungen
Braun, S. (2017) · OPUS Publication Server of the University of Stuttgart (University of Stuttgart) · doi:10.18419/opus-9368
Statistical learning of target selection and distractor filtering
Ferrante, O. (2018)
The Role of the Reward Recognition Network in Therapy
Wasserman, T. H., & Wasserman, L. D. (2019) · Springer eBooks · doi:10.1007/978-3-030-26921-0_8
Network Modeling and Therapeutic Techniques
Wasserman, T. H., & Wasserman, L. D. (2019) · Springer eBooks · doi:10.1007/978-3-030-26921-0_5
Kietzman, H. W., Shapiro, L. P., Trinoskey-Rice, G., Guo, J., & Gourley, S. L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.12.452062
Schultz, W. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734225288.793565149
Bosulu, J. (2022) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/wpqj7
Stanc, L. L., Youssov, K., Giavazzi, M., Sliwinski, A., Bachoud‐Lévi, A., & Jacquemot, C. (2022) · doi:10.31234/osf.io/nfguz
Die Rolle des Belohnungserkennungsnetzwerks beim Verständnis von Motivation
Wasserman, T. H., & Wasserman, L. D. (2024) · Springer eBooks · doi:10.1007/978-3-031-48004-1_4
Attention and the Role of the Reward Recognition Network
Wasserman, T. H., & Wasserman, L. D. (2024) · Springer eBooks · doi:10.1007/978-3-031-78732-4_8
Hegefeld, H., & Davidow, J. Y. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.11.664442
Bortz, D. M., Obaidi, K., Deldin, A., Weber, D. J., & Torregrossa, M. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.11.669720
Hegefeld, H., & Davidow, J. Y. (2025) · eLife · doi:10.7554/elife.108428
Rasgado‐Toledo, J., Ángeles-Valdéz, D., Carranza‐Aguilar, C. J., López-Castro, A., Trujillo-Villarreal, L. A., Medina-Sánchez, D., Serrano-Ramirez, M. S., Elizarraras-Herrera, A. D., Alcauter, S., Delint‐Ramírez, I., et al. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf432 · Cited by 1
Johri, A., Kluen, L. M., Gera, R., Man, V. Y., Perez, O. D., Simon, J. P., Ding, W., Fransen, A., Cho, S. J., Oh, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.26.690863
I’ve got a friend somewhere: control of social behavior across striatal subregions
Li, M. X., Baek, J., Guo, M. Y., Pomrenze, M. B., & Chen, A. P. F. (2026) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2026.1763517
Temporal Processing In The Amygdalo-Prefronto-Dorsostriatal Network In Rats
Tallot, L. (2015) · theses.fr (ABES) · doi:10.70675/21dbbecbze3bcz4e26z92adz6c438f2bee10
Contribution of the rat insular cortex to stimulus-guided action
Tensaouti, Y. (2024) · theses.fr (ABES) · doi:10.70675/857ca5a2ze261z4e9bzb88dz744191d18105
Polek, N., Subramanian, Ł., Sękowski, M., Sikorska, M., Mularczyk, P., Łysoniewski, W., Marcysiak, A., Mruzek, T., Kiełbasiewicz, M., & Zawadzka, K. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.2(50).2026.5459
Peak, J. N., Liang, S., Lau, B., Turner, K. M., Leung, B. K., & Balleine, B. W. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117780
Self-citation
Metadata
- Authors
- Hart, G., Leung, B. K., & Balleine, B. W.
- Affiliations
- The University of Sydney (AU)
- Corresponding author
- Balleine, Bernard W.
- Venue
- Neurobiology of Learning and Memory
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 108
- Pages
- 104-118
- ISSN
- 1074-7427 (ISSN-L)
- PMC
- PMC4661143
- OpenAlex
- W2034389479
- Cited by
- 166
- References
- 152
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 10 · 2023: 10 · 2022: 10 · 2021: 9 · 2020: 17 · 2019: 18 · 2018: 20 · 2017: 16 · 2016: 20 · 2015: 15 · 2014: 6
- FWCI
- 1.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Learning and Memory (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5r01mh056646-04)
- National Institute of Mental Health (MH-56646, R01MH056446)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- dorsal striatum, ventral striatum, goal-directed behavior, operant conditioning, instrumental performance, basolateral amygdala, motivational control
- MeSH terms
- Animals, Basal Ganglia, Brain, Conditioning, Operant, Corpus Striatum, Goals, Humans, Reward, Mice, Rats
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