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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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“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
“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]
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
Cited by
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Wood, W., & Rünger, D. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033417 · Cited by 1,445
Sensitive periods of substance abuse: Early risk for the transition to dependence
Jordan, C. J., & Andersen, S. L. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.10.004 · Cited by 455
“2; elin and Everitt, 2008; Burton et al., 2015; Everitt and Robbins, 013; Gremel and Cunningham, 2008; Haber et al., 2006).”
“Liking” and “wanting” in eating and food reward: Brain mechanisms and clinical implications
Morales, I., & Berridge, K. C. (2020) · Physiology & Behavior · doi:10.1016/j.physbeh.2020.113152 · Cited by 346
Impulse Control and Related Disorders in Parkinson's Disease
Weintraub, D. A., & Claassen, D. O. (2017) · International review of neurobiology · doi:10.1016/bs.irn.2017.04.006 · Cited by 284
Thalamic Regulation of Sucrose Seeking during Unexpected Reward Omission
Monte, F. H. D., Minier-Toribio, A. M., Quiñones-Laracuente, K., Medina-Colón, E. M., & Quirk, G. J. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.036 · Cited by 175
The brain’s reward system in health and disease
Lewis, R. G., Florio, E., Punzo, D., & Borrelli, E. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-81147-1_4 · Cited by 170
Neural Network Alterations Across Eating Disorders: A Narrative Review of fMRI Studies
Steward, T., Menchón, J. M., Jiménez‐Múrcia, S., Soriano‐Mas, C., & Fernández‐Aranda, F. (2017) · Current Neuropharmacology · doi:10.2174/1570159x15666171017111532 · Cited by 170
Hooks, B. M., Papale, A. E., Paletzki, R. F., Feroze, M. W., Eastwood, B. S., Couey, J. J., Winnubst, J., Chandrashekar, J., & Gerfen, C. R. (2018) · Nature Communications · doi:10.1038/s41467-018-05780-7 · Cited by 158
A comparative fMRI meta-analysis of altruistic and strategic decisions to give
Cutler, J., & Campbell-Meiklejohn, D. K. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.009 · Cited by 146
Brain networks underlying vulnerability and resilience to drug addiction
Ersche, K. D., Meng, C., Ziauddeen, H., Štochl, J., Williams, G. B., Bullmore, E. T., & Robbins, T. W. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2002509117 · Cited by 143
Top‐down and bottom‐up control of stress‐coping
de Kloet, E. R., de Kloet, S. F., de Kloet, C. S., & de Kloet, A. D. (2018) · Journal of Neuroendocrinology · doi:10.1111/jne.12675 · Cited by 130
Distinct recruitment of dorsomedial and dorsolateral striatum erodes with extended training
Vandaele, Y., Mahajan, N. R., Ottenheimer, D. J., Richard, J. M., Mysore, S. P., & Janak, P. H. (2019) · eLife · doi:10.7554/elife.49536 · Cited by 108
Poyraz, F. C., Holzner, E., Bailey, M. R., Mészáros, J., Kenney, L., Kheirbek, M. A., Balsam, P. D., & Kellendonk, C. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0444-16.2016 · Cited by 107
Impulse Control and Related Disorders in Parkinson’s Disease
Weintraub, D. A., & Nirenberg, M. J. (2012) · Neurodegenerative Diseases · doi:10.1159/000341996 · Cited by 113
Chronic methamphetamine self-administration disrupts cortical control of cognition
Bernheim, A. P., See, R. E., & Reichel, C. M. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.020 · Cited by 99
Regulation of habit formation in the dorsal striatum
Malvaez, M., & Wassum, K. M. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.11.005 · Cited by 96
Chronic stress-induced depression requires the recruitment of peripheral Th17 cells into the brain
Peng, Z., Peng, S., Lin, K., Zhao, B., Wei, L., Tuo, Q., Liao, D., Yuan, T., & Shi, Z. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02543-6 · Cited by 95
Parkes, S. L., Bradfield, L. A., & Balleine, B. W. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4153-14.2015 · Cited by 94
Redish, A. D., & Mizumori, S. J. Y. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2014.08.014 · Cited by 102
Dystonia and dopamine: From phenomenology to pathophysiology
Ribot, B., Aupy, J., Vidailhet, M., Mazère, J., Pisani, A., Bézard, E., Guehl, D., & Burbaud, P. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101678 · Cited by 96
Interpreting the role of the striatum during multiple phases of motor learning
Cataldi, S., Stanley, A. T., Miniaci, M. C., & Sulzer, D. (2021) · FEBS Journal · doi:10.1111/febs.15908 · Cited by 85
Dopamine role in learning and action inference
Bogacz, R. (2020) · eLife · doi:10.7554/elife.53262 · Cited by 96
Dopamine Circuit Mechanisms of Addiction-Like Behaviors
Poisson, C. L., Engel, L., & Saunders, B. T. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.752420 · Cited by 75
(2019) · doi:10.1093/oso/9780198843702.001.0001 · Cited by 138
Hussein, A., Guevara, C. A., Valle, P. D., Gupta, S., Benson, D. L., & Huntley, G. W. (2021) · The Neuroscientist · doi:10.1177/10738584211011979 · Cited by 78
Dysfunctional striatal dopamine signaling in Huntington's disease
Koch, E. T., & Raymond, L. A. (2019) · Journal of Neuroscience Research · doi:10.1002/jnr.24495 · Cited by 67
Memory systems 2018 – Towards a new paradigm
Ferbinteanu, J. (2018) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2018.11.005 · Cited by 75
Computational models of drug use and addiction: A review.
Mollick, J., & Hedy Kober, A. (2020) · Journal of Abnormal Psychology · doi:10.1037/abn0000503 · Cited by 64
Chen, Y., Chaudhary, S., & Li, C. R. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119764 · Cited by 62
Zhang, H., Wang, B., Li, K., Wang, X., Li, X., Zhu, J., Zhao, Q., Yang, Y., Lv, L., Zhang, M., et al. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00522 · Cited by 55
Bissonette, G. B., & Roesch, M. R. (2015) · Current topics in behavioral neurosciences · doi:10.1007/7854_2015_382 · Cited by 68
Self-citationClassic psychedelics and alcohol use disorders: A systematic review of human and animal studies
Calleja‐Conde, J., Morales-Garcia, J. A., Echeverry‐Alzate, V., Bühler, K., Giné, E., & López‐Moreno, J. A. (2022) · Addiction Biology · doi:10.1111/adb.13229 · Cited by 58
Ersche, K. D., Ward, L. H. E., Lim, T. V., Lumsden, R. J., Sawiak, S. J., Robbins, T. W., & Štochl, J. (2019) · Personality and Individual Differences · doi:10.1016/j.paid.2019.07.003 · Cited by 62
Lu, J., Cheng, Y., Xie, X., Woodson, K., Bonifacio, J., Disney, E., Barbee, B. R., Wang, X., Zaidi, M., & Wang, J. (2020) · eNeuro · doi:10.1523/eneuro.0348-20.2020 · Cited by 51
Reassessing wanting and liking in the study of mesolimbic influence on food intake
Nicola, S. M. (2016) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00234.2016 · Cited by 52
Leffa, D. T., de Souza, A., Scarabelot, V. L., Medeiros, L. F., de Oliveira, C., Grevet, E. H., Caumo, W., de Souza, D. O., Rohde, L. A. P., & Torres, I. L. S. (2016) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.11.012 · Cited by 50
Liu, X., Eickhoff, S. B., Caspers, S., Wu, J., Genon, S., Hoffstaedter, F., Mars, R. B., Sommer, I. E., Eickhoff, C. R., Ji, C., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118006 · Cited by 49
The ventral striatum dissociates information expectation, reward anticipation, and reward receipt
Filimon, F., Nelson, J. D., B, T. J. S. A., Sereno, M. I., & Cottrell, G. W. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1911778117 · Cited by 46
Dopamine Dysregulation in Reward and Autism Spectrum Disorder
Blum, K., Bowirrat, A., Sunder, K. R., Thanos, P. K., Hanna, C., Gold, M. S., Dennen, C. A., Elman, I., Murphy, K. T., & Makale, M. T. (2024) · Brain Sciences · doi:10.3390/brainsci14070733 · Cited by 47
Gentry, R. N., Schuweiler, D. R., & Roesch, M. R. (2018) · Brain Research · doi:10.1016/j.brainres.2018.10.008 · Cited by 41
Self-citationThe Nucleus Accumbens Core is Necessary to Scale Fear to Degree of Threat
Ray, M. H., Russ, A., Walker, R. A., & McDannald, M. A. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0299-20.2020 · Cited by 44
Knowledge generalization and the costs of multitasking
Garner, K., & Dux, P. E. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00653-x · Cited by 45
Single-Prolonged Stress Impairs Prefrontal Cortex Control of Amygdala and Striatum in Rats
Piggott, V. M., Bosse, K. E., Lisieski, M. J., Strader, J. A., Stanley, J. A., Conti, A. C., Ghoddoussi, F., & Perrine, S. A. (2019) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2019.00018 · Cited by 44
Corticostriatal foundations of habits
Seger, C. A. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.01.006 · Cited by 38
The Willpower Paradox: Possible and Impossible Conceptions of Self-Control
Goschke, T., & Job, V. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916221146158 · Cited by 53
Mailleux, L., Klingels, K., Fiori, S., Simón-Martínez, C., Demaerel, P., Locus, M., Fosseprez, E., Boyd, R. N., Guzzetta, A., Ortibus, E., et al. (2017) · European Journal of Paediatric Neurology · doi:10.1016/j.ejpn.2017.05.006 · Cited by 37
Neural and neurochemical basis of reinforcement-guided decision making
Khani, A., & Rainer, G. (2016) · Journal of Neurophysiology · doi:10.1152/jn.01113.2015 · Cited by 38
Secondary motor cortex: Broadcasting and biasing animal's decisions through long-range circuits
Yang, J.-H., & Kwan, A. C. (2020) · International review of neurobiology · doi:10.1016/bs.irn.2020.11.008 · Cited by 33
Nucleus accumbens deep brain stimulation in a rat model of binge eating
Doucette, W. T., Khokhar, J. Y., & Green, A. I. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.197 · Cited by 36
Ayahuasca, a psychedelic beverage, modulates neuroplasticity induced by ethanol in mice
Almeida, C. A. D. F., Pereira-Júnior, A. A., Rangel, J. G., Pereira, B. P., Costa, K. C. M., Bruno, V., Silveira, G. D. O., Ceron, C. S., Yonamine, M., Camarini, R., et al. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113546 · Cited by 35
The learning of prospective and retrospective cognitive maps within neural circuits
Namboodiri, V. M. K., & Stuber, G. D. (2021) · Neuron · doi:10.1016/j.neuron.2021.09.034 · Cited by 32
Impulse Control Disorders and Related Complications of Parkinson's Disease Therapy
Weintraub, D., Claassen, D. O., & Lopez, A. M. (2017) · Seminars in Neurology · doi:10.1055/s-0037-1601887 · Cited by 33
Korol, D. L., Gardner, R. S., Tunur, T., & Gold, P. E. (2019) · Behavioral Neuroscience · doi:10.1037/bne0000304 · Cited by 33
Malvaez, M. (2019) · Journal of Neuroscience Research · doi:10.1002/jnr.24552 · Cited by 37
The transcription factor BCL11A defines distinct subsets of midbrain dopaminergic neurons
Tolve, M., Ulusoy, A., Patikas, N., Islam, K. U. S., Bodea, G. O., Öztürk, E., Broske, B., Mentani, A., Wagener, A., van Loo, K. M. J., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109697 · Cited by 33
Optogenetic stimulation of striatal patches modifies habit formation and inhibits dopamine release
Nadel, J. A., Pawelko, S. S., Scott, J. R., McLaughlin, R., Fox, M., Ghanem, M. M., van der Merwe, R., Hollon, N. G., Ramsson, E. S., & Howard, C. D. (2021) · Scientific Reports · doi:10.1038/s41598-021-99350-5 · Cited by 30
Striatum expresses region-specific plasticity consistent with distinct memory abilities
Siaume‐Perez, S., Cui, Y., Vignoud, G., Perrin, E., Mendes, A., Zheng, Z., Touboul, J. D., & Venance, L. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110521 · Cited by 32
Choi, K., Piasini, E., Díaz-Hernández, E., Cifuentes, L. V., Henderson, N. T., Holly, E. N., Subramaniyan, M., Gerfen, C. R., & Fuccillo, M. V. (2023) · Nature Communications · doi:10.1038/s41467-023-36795-4 · Cited by 34
Human moral decision-making through the lens of Parkinson’s disease
Ponsi, G., Scattolin, M., Villa, R., & Aglioti, S. M. (2021) · npj Parkinson s Disease · doi:10.1038/s41531-021-00167-w · Cited by 32
Neural correlates of appetitive extinction in humans
Kruse, O., León, I. T., Stark, R. M., & Klucken, T. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw157 · Cited by 30
Hobbiss, M. H., Sims, S., & Allen, R. S. (2020) · Review of Education · doi:10.1002/rev3.3226 · Cited by 42
Clinical and Neural Correlates of Reward and Relief Drinking
Burnette, E. M., Grodin, E. N., Schacht, J. P., & Ray, L. A. (2020) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14495 · Cited by 28
Wang, K., He, Q., Zhu, X., Hu, Y., Yao, Y., Hommel, B., Beste, C., Liu, J., Yang, Y., & Zhang, W. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.09.014 · Cited by 28
Synapse-specific expression of mu opioid receptor long-term depression in the dorsomedial striatum
Muñoz, B., Haggerty, D. L., & Atwood, B. K. (2020) · Scientific Reports · doi:10.1038/s41598-020-64203-0 · Cited by 27
Brockett, A. T., Pribut, H. J., Vázquez, D., & Roesch, M. R. (2018) · Learning & Memory · doi:10.1101/lm.047001.117 · Cited by 28
Self-citationPrevious cocaine self-administration disrupts reward expectancy encoding in ventral striatum
Burton, A. C., Bissonette, G. B., Vázquez, D., Blume, E. M., Donnelly, M., Heatley, K. C., Hinduja, A., & Roesch, M. R. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0058-0 · Cited by 29
Self-citationDissociable effects of age and testosterone on adolescent impatience
Laube, C., Suleiman, A. B., Johnson, M. M., Dahl, R. E., & van den Bos, W. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.03.012 · Cited by 25
Ferris, C. F., Kulkarni, P. P., Yee, J. R., Nedelman, M. A., & de Jong, I. E. M. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00279 · Cited by 24
Bortz, D. M., & Grace, A. A. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0048-2 · Cited by 24
Striatal Activity and Reward Relativity: Neural Signals Encoding Dynamic Outcome Valuation
Webber, E. S., Mankin, D. E., & Cromwell, H. C. (2016) · eNeuro · doi:10.1523/eneuro.0022-16.2016 · Cited by 23
Geng, H.-Y., Zhang, J., Yang, J., Li, Y., Wang, N., Ye, M., Chen, X.-J., Lian, H., & Li, X. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3948-16.2017 · Cited by 23
Sutton, L. P., Muntean, B. S., Ostrovskaya, O. I., Zucca, S., Dao, M. T., Orlandi, C., Song, C., Xie, K., & Martemyanov, K. A. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000477 · Cited by 22
Kim, A.-Y., Shim, J., Choi, H. J., & Baek, H. (2020) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2019.12.052 · Cited by 22
Reis, H. S., Rodrigues, I. R. S., Anjos-Santos, A., Libarino-Santos, M., Serra, Y. A., Cata-Preta, E. G., Oliveira-Campos, D., Kisaki, N. D., Barros-Santos, T., Yokoyama, T. S., et al. (2020) · Psychopharmacology · doi:10.1007/s00213-020-05609-6 · Cited by 21
Colón-Pérez, L. M., Turner, S. M., Lubke, K. N., Pompilus, M., Febo, M., & Burke, S. N. (2019) · eNeuro · doi:10.1523/eneuro.0047-19.2019 · Cited by 21
Imbalance between the caudate and putamen connectivity in obsessive–compulsive disorder
Peng, Z., He, T., Ren, P., Jin, L., Yang, Q., Xu, C., Wen, R., Chen, J., Wei, Z., Verguts, T., et al. (2022) · NeuroImage: Clinical · doi:10.1016/j.nicl.2022.103083 · Cited by 20
Mapping Large-Scale Networks Associated with Action, Behavioral Inhibition and Impulsivity
Fakhraei, L., Francoeur, M. J., Balasubramani, P. P., Tang, T., Hulyalkar, S., Buscher, N., Claros, C., Terry, A., Gupta, A., Xiong, H., et al. (2021) · eNeuro · doi:10.1523/eneuro.0406-20.2021 · Cited by 20
Astrocyte-neuron interaction in the dorsal striatum-pallidal circuits and alcohol-seeking behaviors
Hong, S., Kang, S., Baker, M. R., & Choi, D. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108759 · Cited by 20
Andrade, A. L. M., Martins, G. D. G., Scatena, A., Lopes, F. M., de Oliveira, W. A., Kim, H. S. A., & de MICHELI, D. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-022-00846-6 · Cited by 21
Aberrant striatal tracking of reward magnitude in youth with current or past-year depression.
Insel, C., Glenn, C. R., Nock, M. K., & Somerville, L. H. (2018) · Journal of Abnormal Psychology · doi:10.1037/abn0000389 · Cited by 19
Pribut, H. J., Vázquez, D., Brockett, A. T., Wei, A. D., Tennyson, S. S., & Roesch, M. R. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.3025-20.2021 · Cited by 19
Self-citationStriatal responsiveness to reward under threat‐of‐shock and working memory load: A preliminary study
Gaillard, C., Guillod, M., Ernst, M., Torrisi, S., Federspiel, A., Schoebi, D., Recabarren, R. E., Ouyang, X., Mueller‐Pfeiffer, C., Horsch, A., et al. (2019) · Brain and Behavior · doi:10.1002/brb3.1397 · Cited by 19
Altered brain activation during reward anticipation in bipolar disorder
Long, X., Wang, X., Tian, F., Cao, Y., Xie, H., & Jia, Z. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02075-w · Cited by 22
Pavuluri, M. N., Volpe, K. A., & Yuen, A. (2017) · AIMS neuroscience · doi:10.3934/neuroscience.2017.1.52 · Cited by 21
Cortical endogenous opioids and their role in facilitating repetitive behaviors in deer mice
Augustine, F., Rajendran, S., & Singer, H. S. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.112317 · Cited by 18
Prior cocaine self-administration impairs attention signals in anterior cingulate cortex
Vázquez, D., Pribut, H. J., Burton, A. C., Tennyson, S. S., & Roesch, M. R. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0578-2 · Cited by 18
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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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