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Excitatory transmission from the amygdala to nucleus accumbens facilitates reward seeking
Open accessAbstract
The basolateral amygdala (BLA) has a crucial role in emotional learning irrespective of valence. The BLA projection to the nucleus accumbens (NAc) is thought to modulate cue-triggered motivated behaviours, but our understanding of the interaction between these two brain regions has been limited by the inability to manipulate neural-circuit elements of this pathway selectively during behaviour. To circumvent this limitation, we used in vivo optogenetic stimulation or inhibition of glutamatergic fibres from the BLA to the NAc, coupled with intracranial pharmacology and ex vivo electrophysiology. Here we show that optical stimulation of the pathway from the BLA to the NAc in mice reinforces behavioural responding to earn additional optical stimulation of these synaptic inputs. Optical stimulation of these glutamatergic fibres required intra-NAc dopamine D1-type receptor signalling, but not D2-type receptor signalling. Brief optical inhibition of fibres from the BLA to the NAc reduced cue-evoked intake of sucrose, demonstrating an important role of this specific pathway in controlling naturally occurring reward-related behaviour. Moreover, although optical stimulation of glutamatergic fibres from the medial prefrontal cortex to the NAc also elicited reliable excitatory synaptic responses, optical self-stimulation behaviour was not observed by activation of this pathway. These data indicate that whereas the BLA is important for processing both positive and negative affect, the glutamatergic pathway from the BLA to the NAc, in conjunction with dopamine signalling in the NAc, promotes motivated behavioural responding. Thus, optogenetic manipulation of anatomically distinct synaptic inputs to the NAc reveals functionally distinct properties of these inputs in controlling reward-seeking behaviours.
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“Thus circuits associated with motivated action (Stuber et al., 2011) may be strengthened before top-down projections to these regions have matured with experience and age (Casey, 2015).”
From Beyond simple models of adolescence to an integrated circuit-based account: A commentary (2016) · cites this paper as Stuber et al., 2011
In the citing paper
“The amygdala is important in learning the emotional significance of cues in the environment, and can facilitate ventral striatal activity through its direct inputs, leading to motivated action (Stuber et al., 2011).”
From Beyond simple models of adolescence to an integrated circuit-based account: A commentary (2016) · cites this paper as Stuber et al., 2011
In the citing paper
“This work has, for instance, proposed that BLA PNs innervating the NAc and vHPC primarily encode information with positive and negative valence, respectively (17,20,22,23).”
From Chronic Stress Remodels Synapses in an Amygdala Circuit-Specific Manner (2019) · cites this paper as [23]
In the citing paper
“Recent optogenetic studies have shown that photostimulating BLA PNs targeting the vHPC increases anxiety-like behavior and reduces social interaction, whereas photosilencing this pathway has the opposite effects, and, conversely, stimulating NAc-targeting BLA PNs promotes reward-seeking (20,22,23,39).”
From Chronic Stress Remodels Synapses in an Amygdala Circuit-Specific Manner (2019) · cites this paper as [23]
In the citing paper
“Recent optogenetic studies have shown that photostimulating BLA PNs targeting the vHPC increases anxiety-like behavior and reduces social interaction, whereas photosilencing this pathway has the opposite effects, and, conversely, stimulating NAc-targeting BLA PNs promotes reward-seeking (20,22,23,39).”
From Chronic Stress Remodels Synapses in an Amygdala Circuit-Specific Manner (2019) · cites this paper as [23]
In the citing paper
“Recent optogenetic studies have shown that photostimulating BLA PNs targeting the vHPC increases anxiety-like behavior and reduces social interaction, whereas photosilencing this pathway has the opposite effects, and, conversely, stimulating NAc-targeting BLA PNs promotes reward-seeking (20,22,23,39).”
From Chronic Stress Remodels Synapses in an Amygdala Circuit-Specific Manner (2019) · cites this paper as [23]
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Citations
Cites
Predictive reward signal of dopamine neurons
Schultz, W. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.1.1 · Cited by 4,564
The Emotional Brain, Fear, and the Amygdala
LeDoux, J. (2003) · Cellular and Molecular Neurobiology · doi:10.1023/a:1025048802629 · Cited by 1,818
Neuronal signalling of fear memory
Maren, S., & Quirk, G. J. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1535 · Cited by 1,428
Amygdala circuitry mediating reversible and bidirectional control of anxiety
Tye, K. M., Prakash, R., Kim, S.-Y., Fenno, L. E., Grosenick, L., Zarabi, H., Thompson, K. R., Gradinaru, V., Ramakrishnan, C., & Deisseroth, K. (2011) · Nature · doi:10.1038/nature09820 · Cited by 1,289
Self-citationPhasic Firing in Dopaminergic Neurons Is Sufficient for Behavioral Conditioning
Tsai, H.-C., Zhang, F., Adamantidis, A., Stuber, G. D., Bonci, A., de Lecea, L., & Deisseroth, K. (2009) · Science · doi:10.1126/science.1168878 · Cited by 1,266
Self-citationSubsecond dopamine release promotes cocaine seeking
Phillips, P. E. M., Stuber, G. D., Heien, M. L. A. V., Wightman, R. M., & Carelli, R. M. (2003) · Nature · doi:10.1038/nature01476 · Cited by 1,113
Self-citationMolecular and Cellular Approaches for Diversifying and Extending Optogenetics
Gradinaru, V., Zhang, F., Ramakrishnan, C., Mattis, J., Prakash, R., Diester, I., Goshen, I., Thompson, K. R., & Deisseroth, K. A. (2010) · Cell · doi:10.1016/j.cell.2010.02.037 · Cited by 1,040
Self-citationAravanis, A. M., Wang, L., Zhang, F., Meltzer, L. A., Mogri, M., Schneider, M. B., & Deisseroth, K. A. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/3/s02 · Cited by 960
Self-citationThe primate amygdala represents the positive and negative value of visual stimuli during learning
Paton, J. J., Belova, M. A., Morrison, S. E., & Salzman, C. D. (2006) · Nature · doi:10.1038/nature04490 · Cited by 917
McFarland, K., Lapish, C. C., & Kalivas, P. W. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-08-03531.2003 · Cited by 884
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Items 201–300 of 871
Nucleus Accumbens Cell Type- and Input-Specific Suppression of Unproductive Reward Seeking
Lafferty, C. K., Yang, A. K., Mendoza, J. A., & Britt, J. P. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.02.095 · Cited by 81
Neurocognitive Development of Motivated Behavior: Dynamic Changes across Childhood and Adolescence
Gee, D. G., Bath, K. G., Johnson, C. M., Meyer, H. C., Murty, V. P., van den Bos, W., & Hartley, C. A. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1674-18.2018 · Cited by 86
Connectome-based individualized prediction of temperament trait scores
Jiang, R., Calhoun, V. D., Zuo, N., Lin, D., Li, J., Fan, L., Qi, S., Sun, H., Fu, Z., Song, M., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.038 · Cited by 82
Zachry, J. E., Kutlu, M. G., Yoon, H. J., Leonard, M. Z., Chevée, M., Patel, D. D., Gaidici, A., Kondev, V., Thibeault, K. C., Bethi, R., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.11.023 · Cited by 75
Amygdala-ventral striatum circuit activation decreases long-term fear
Correia, S. S., McGrath, A. G., Lee, A., Graybiel, A. M., & Goosens, K. A. (2016) · eLife · doi:10.7554/elife.12669 · Cited by 87
Nucleus Accumbens Dopamine Signaling Regulates Sexual Preference for Females in Male Mice
Beny, Y., Zilkha, N., Lavi‐Avnon, Y., Bezalel, N., Rogachev, I., Brandis, A. S., Dayan, M., & Kimchi, T. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.11.062 · Cited by 85
Rein, M. L., & Deussing, J. M. (2011) · Molecular Genetics and Genomics · doi:10.1007/s00438-011-0663-7 · Cited by 84
The Neurodynamics of Affect in the Laboratory Predicts Persistence of Real-World Emotional Responses
Heller, A. S., Fox, A. S., Wing, E. A., McQuisition, K., Vack, N. J., & Davidson, R. J. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0569-15.2015 · Cited by 79
Osadchiy, V., Labus, J. S., Gupta, A., Jacobs, J. P., Ashe-McNalley, C., Hsiao, E. Y., & Mayer, E. A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201772 · Cited by 82
Hjorth, O. R., Frick, A., Gingnell, M., Hoppe, J. M., Faria, V., Hultberg, S., Alaie, I., Månsson, K. N. T., Wahlstedt, K., Jonasson, M., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0618-7 · Cited by 51
Millan, E. Z., Kim, H. A., & Janak, P. H. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.044 · Cited by 78
Noradrenergic Regulation of Fear and Drug-Associated Memory Reconsolidation
Otis, J. M., Werner, C. T., & Mueller, D. T. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.243 · Cited by 83
Drug-Evoked Synaptic Plasticity Causing Addictive Behavior
Lüscher, C. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3406-13.2013 · Cited by 81
Functional neuroanatomy of the basolateral amygdala: Neurons, neurotransmitters, and circuits
McDonald, A. J. (2020) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-815134-1.00001-5 · Cited by 84
Bertran‐Gonzalez, J., Laurent, V., Chieng, B. C. H., Christie, M. J., & Balleine, B. W. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1927-13.2013 · Cited by 75
Cortical-Subcortical Interactions in Depression: From Animal Models to Human Psychopathology
Heller, A. S. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00020 · Cited by 79
Göttlich, M., Krämer, U. M., Kordon, A., Hohagen, F., & Zurowski, B. (2015) · Biological Psychology · doi:10.1016/j.biopsycho.2015.09.004 · Cited by 73
Aitta‐aho, T., Hay, Y. A., Phillips, B. U., Saksida, L. M., Bussey, T. J., Paulsen, O., & Apergis‐Schoute, J. (2018) · Current Biology · doi:10.1016/j.cub.2018.06.064 · Cited by 79
Nair, S. G., Strand, N. S., & Neumaier, J. F. (2012) · Brain Research · doi:10.1016/j.brainres.2012.10.011 · Cited by 72
Chaudhri, N., Woods, C. A., Sahuque, L. L., Gill, T. M., & Janak, P. H. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12278 · Cited by 73
Primate optogenetics: Progress and prognosis
El-Shamayleh, Y., & Horwitz, G. D. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902284116 · Cited by 78
Zhang, W., Liu, W.-Z., He, Y., You, W.-J., Zhang, J., Xu, H. A., Tian, X.-L., Li, B., Mei, L., Holmes, A., et al. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.12.010 · Cited by 75
The nucleus accumbens in reward and aversion processing: insights and implications
Xu, Y., Lin, Y., Yu, M., & Zhou, K. (2024) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2024.1420028 · Cited by 86
Optogenetic dissection of amygdala functioning
LaLumiere, R. T. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00107 · Cited by 79
Optogenetic strategies to investigate neural circuitry engaged by stress
Sparta, D. R., Jennings, J. H., Ung, R. L., & Stuber, G. D. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.05.007 · Cited by 72
Self-citationHan, S., Zheng, R., Li, S., Liu, L., Wang, C., Jiang, Y. B., Wen, M., Zhou, B., Wei, Y., Pang, J., et al. (2021) · Psychological Medicine · doi:10.1017/s0033291721003986 · Cited by 70
From controlled to compulsive drug-taking: The role of the habenula in addiction
Mathis, V., & Kenny, P. J. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.06.018 · Cited by 73
Khibnik, L. A., Beaumont, M., Doyle, M., Heshmati, M., Slesinger, P. A., Nestler, E. J., & Russo, S. J. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.05.022 · Cited by 67
Neuronal diversity of the amygdala and the bed nucleus of the stria terminalis
Beyeler, A., & Dabrowska, J. (2020) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-815134-1.00003-9 · Cited by 74
Reward systems and cognitions in Major Depressive Disorder
Cléry-Melin, M.-L., Jollant, F., & Gorwood, P. A. P. M. (2018) · CNS Spectrums · doi:10.1017/s1092852918001335 · Cited by 73
Peck, C. J., & Salzman, C. D. (2014) · eLife · doi:10.7554/elife.04478 · Cited by 68
Rajbhandari, A. K., Baldo, B. A., & Bakshi, V. P. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5080-14.2015 · Cited by 68
Coordination of Brain-Wide Activity Dynamics by Dopaminergic Neurons
Decot, H., Namboodiri, V. M. K., Gao, W., McHenry, J. A., Jennings, J. H., Lee, S., Kantak, P. A., Kao, Y. J., Das, M., Witten, I. B., et al. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.151 · Cited by 66
Self-citationHigh-Frequency Activation of Nucleus Accumbens D1-MSNs Drives Excitatory Potentiation on D2-MSNs
Francis, T. C., Yano, H., Demarest, T. G., Shen, H., & Bonci, A. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.031 · Cited by 67
Self-citationXie, S., Zhang, X., Cheng, W., & Yang, Z. (2021) · General Psychiatry · doi:10.1136/gpsych-2020-100411 · Cited by 78
Cell-Specific Targeting of Genetically Encoded Tools for Neuroscience
Sjulson, L., Cassataro, D., Dasgupta, S., & Miesenböck, G. (2016) · Annual Review of Genetics · doi:10.1146/annurev-genet-120215-035011 · Cited by 74
Watanabe, N., Sakagami, M., & Haruno, M. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3400-12.2013 · Cited by 65
Seo, D.-O., Funderburk, S. C., Bhatti, D. L., Motard, L. E., Newbold, D. J., Girven, K. S., McCall, J. G., Krashes, M. J., Sparta, D. R., & Bruchas, M. R. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1164-16.2016 · Cited by 67
Self-citationStress-induced plasticity of a CRH/GABA projection disrupts reward behaviors in mice
Birnie, M. T., Short, A. K., de Carvalho, G., Taniguchi, L., Gunn, B. G., Pham, A. L., Itoga, C. A., Xu, X., Chen, L. Y., Mahler, S. V., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36780-x · Cited by 70
Piantadosi, S. C., Zhou, Z. C., Pizzano, C., Pedersen, C. E., Nguyen, T. K., Thai, S., Stuber, G. D., & Bruchas, M. R. (2023) · Neuron · doi:10.1016/j.neuron.2023.11.007 · Cited by 64
Self-citationOptogenetics to study the circuits of fear- and depression-like behaviors: A critical analysis
Belzung, C., Turiault, M., & Griebel, G. (2014) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2014.04.002 · Cited by 65
Cortico-striatal circuits: novel therapeutic targets for substance use disorders
Kravitz, A. V., Tomasi, D., LeBlanc, K. H., Baler, R., Volkow, N. D., Bonci, A., & Ferré, S. (2015) · Brain Research · doi:10.1016/j.brainres.2015.03.048 · Cited by 63
Self-citationGlutamatergic plasticity and alcohol dependence-induced alterations in reward, affect and cognition
Burnett, E. J., Chandler, L. J., & Trantham‐Davidson, H. (2015) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2015.08.012 · Cited by 66
Reshaping the optical dimension in optogenetics
Vaziri, A., & Emiliani, V. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.11.011 · Cited by 72
Massaly, N., Morón, J. A., & Al-Hasani, R. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00480 · Cited by 59
Unlocking opioid neuropeptide dynamics with genetically encoded biosensors
Dong, C., Gowrishankar, R., Jin, Y., He, X. J., Gupta, A., Wang, H., Sayar, N., Flores, R. J., Mahe, K., Tjahjono, N., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01697-1 · Cited by 60
The role of δ‐opioid receptors in learning and memory underlying the development of addiction
Klenowski, P. M., Morgan, M., & Bartlett, S. E. (2014) · British Journal of Pharmacology · doi:10.1111/bph.12618 · Cited by 60
Keistler, C., Hammarlund, E., Barker, J. M., Bond, C. W., Dileone, R., Pittenger, C., & Taylor, J. R. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3383-16.2017 · Cited by 63
Orsini, C. A., Hernandez, C. M., Singhal, S. M., Kelly, K. B., Frazier, C. J., Bizon, J. L., & Setlow, B. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2344-17.2017 · Cited by 61
Aversive motivation and the maintenance of monogamous pair bonding
Resendez, S. L., & Aragona, B. J. (2013) · Reviews in the Neurosciences · doi:10.1515/revneuro-2012-0068 · Cited by 58
Substance-specific environmental influences on drug use and drug preference in animals and humans
Badiani, A. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.03.010 · Cited by 62
Valence encoding in the amygdala influences motivated behavior
Smith, D. M., & Torregrossa, M. M. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113370 · Cited by 67
Warlow, S. M., Singhal, S. M., Hollon, N. G., Faget, L. C., Dowlat, D. S., Zell, V., Hunker, A. C., Zweifel, L. S., & Hnasko, T. S. (2023) · Neuron · doi:10.1016/j.neuron.2023.11.002 · Cited by 67
Glial- and Neuronal-Specific Expression of CCL5 mRNA in the Rat Brain
Lanfranco, M. F., Mocchetti, I., Burns, M. P., & Villapol, S. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00137 · Cited by 59
Emotion and the Interactive Brain: Insights From Comparative Neuroanatomy and Complex Systems
Pessoa, L. (2018) · Emotion Review · doi:10.1177/1754073918765675 · Cited by 58
Aznar, S., & Klein, A. B. (2013) · Molecular Neurobiology · doi:10.1007/s12035-013-8472-0 · Cited by 59
Embracing Complexity in Defensive Networks
Headley, D. B., Kanta, V., Kyriazi, P., & Paré, D. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.024 · Cited by 61
Tools for Resolving Functional Activity and Connectivity within Intact Neural Circuits
Jennings, J. H., & Stuber, G. D. (2014) · Current Biology · doi:10.1016/j.cub.2013.11.042 · Cited by 54
Self-citationOptogenetic interrogations of the neural circuits underlying addiction
Britt, J. P., & Bonci, A. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.01.010 · Cited by 64
Self-citationDisrupted cortico‐limbic connectivity during reward processing in remitted bipolar I disorder
Dutra, S. J., Man, V. Y., Hedy Kober, A., Cunningham, W. A., & Gruber, J. (2017) · Bipolar Disorders · doi:10.1111/bdi.12560 · Cited by 58
Owesson-White, C., Belle, A. M., Herr, N. R., Peele, J. L., Gowrishankar, P., Carelli, R. M., & Wightman, R. M. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0393-16.2016 · Cited by 55
Itoga, C. A., Chen, Y., Fateri, C., Echeverry, P. A., Lai, J. M., Delgado, J., Badhon, S., Short, A. K., Baram, T. Z., & Xu, X. (2019) · The Journal of Comparative Neurology · doi:10.1002/cne.24676 · Cited by 61
Cameron, C. M., Murugan, M., Choi, J. Y., Engel, E. A., & Witten, I. B. (2019) · Neuron · doi:10.1016/j.neuron.2019.04.015 · Cited by 56
Bath, K. G., Russo, S. J., Pleil, K. E., Wohleb, E. S., Duman, R. S., & Radley, J. J. (2017) · Neurobiology of Stress · doi:10.1016/j.ynstr.2017.05.001 · Cited by 59
Anomalous functional connectivity of amygdala subregional networks in major depressive disorder
Tang, S., Li, H., Lu, L., Wang, Y., Zhang, L., Hu, X., Bu, X., Hu, X., Gao, Y., Gong, Q., et al. (2019) · Depression and Anxiety · doi:10.1002/da.22901 · Cited by 56
Therapeutic efficacy of environmental enrichment for substance use disorders
Galaj, E., Barrera, E. D., & Ranaldi, R. (2019) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2019.172829 · Cited by 58
A neuronal mechanism for motivational control of behavior
Courtin, J., Bitterman, Y., Müller, S., Hinz, J., Hagihara, K. M., Müller, C. R., & Lüthi, A. (2022) · Science · doi:10.1126/science.abg7277 · Cited by 55
Morphology and dendritic maturation of developing principal neurons in the rat basolateral amygdala
Ryan, S. J., Ehrlich, D., & Rainnie, D. G. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0939-x · Cited by 56
Amir, A., Headley, D. B., Lee, S., Haufler, D., & Paré, D. (2018) · Neuron · doi:10.1016/j.neuron.2017.12.035 · Cited by 57
Selective filtering of excitatory inputs to nucleus accumbens by dopamine and serotonin
Christoffel, D. J., Walsh, J. J., Hoerbelt, P., Heifets, B. D., Llorach, P., Lopez, R. C., Ramakrishnan, C., Deisseroth, K., & Malenka, R. C. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2106648118 · Cited by 54
Self-citationPTEN knockdown alters dendritic spine/protrusion morphology, not density
Haws, M. E., Jaramillo, T. C., Espinosa, F., Widman, A. J., Stuber, G. D., Sparta, D. R., Tye, K. M., Russo, S. J., Parada, L. F., Stavarache, M. A., et al. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23488 · Cited by 56
Self-citationExtinction of drug seeking: Neural circuits and approaches to augmentation
McNally, G. P. (2013) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.06.007 · Cited by 56
Lee, K. M., Coelho, M. A., McGregor, H. A., Solton, N. R., Cohen, M., & Szumlinski, K. K. (2016) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2016.00265 · Cited by 53
The center of the emotional universe: Alcohol, stress, and CRF1 amygdala circuitry
Agoglia, A. E., & Herman, M. A. (2018) · Alcohol · doi:10.1016/j.alcohol.2018.03.009 · Cited by 57
Circuits for social learning: a unified model and application to autism spectrum disorder
DeMayo, M. M., Young, L. J., Hickie, I. B., Song, Y. J. C., & Guastella, A. J. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.09.034 · Cited by 52
A bistable inhibitory optoGPCR for multiplexed optogenetic control of neural circuits
Wietek, J., Nozownik, A., Pulin, M., Saraf‐Sinik, I., Matosevich, N., Gowrishankar, R., Gat, A., Malan, D., Brown, B. J., Dine, J., et al. (2024) · Nature Methods · doi:10.1038/s41592-024-02285-8 · Cited by 52
Pitchers, K. K., Schmid, S., Sebastiano, A. R. D., Wang, X., Laviolette, S. R., Lehman, M. N., & Coolen, L. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034700 · Cited by 54
An Emerging Technology Framework for the Neurobiology of Appetite
Sternson, S. M., Atasoy, D., Betley, J. N., Henry, F. E., & Xu, S. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.002 · Cited by 56
Ihssen, N., Sokunbi, M. O., Lawrence, A. D., Lawrence, N., & Linden, D. E. J. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9558-x · Cited by 59
Repunte-Canonigo, V., Shin, W., Vendruscolo, L. F., Lefebvre, C., van der Stap, L., Kawamura, T., Schlosburg, J. E., Alvarez, M., Koob, G. F., Califano, A., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0593-5 · Cited by 52
Zorrilla, E. P., & Koob, G. F. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.11.019 · Cited by 59
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Metadata
- Authors
- Stuber, G. D., Sparta, D. R., Stamatakis, A. M., van Leeuwen, W. A., Hardjoprajitno, J. E., Cho, S., Tye, K. M., Kempadoo, K. A., Zhang, F., Deisseroth, K., & Bonci, A.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- University of California, San Francisco (US)
- Stanford University (US)
- National Institute on Drug Abuse (US)
- Corresponding author
- Stuber, Garret D.
- ORCID
- Venue
- Nature
- Published
- 2011-06-29
- Volume
- 475
- Issue
- 7356
- Pages
- 377-380
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3775282
- OpenAlex
- W2069090835
- Cited by
- 878
- References
- 26
- Citations by year
- 2026: 32 · 2025: 46 · 2024: 54 · 2023: 40 · 2022: 46 · 2021: 64 · 2020: 50 · 2019: 51 · 2018: 65 · 2017: 81 · 2016: 67 · 2015: 80 · 2014: 53 · 2013: 78 · 2012: 53
- FWCI
- 26.40
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- UNC Libraries
- Funders
- National Alliance for Research on Schizophrenia and Depression
- Foundation of Hope for Research and Treatment of Mental Illness
- University of North Carolina at Chapel Hill
- University of California, San Francisco
- National Institute on Alcohol Abuse and Alcoholism (F32AA018610)
- National Institute on Drug Abuse (R01DA032750, DA029325, R21DA029325)
- National Institute of Diabetes and Digestive and Kidney Diseases (DP2DK102256)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- basolateral amygdala, nucleus accumbens, glutamatergic projections, reward seeking, dopamine D1 receptor, dopamine D2 receptor, optogenetic manipulation, sucrose intake, self-stimulation, medial prefrontal cortex, emotional learning, motivated behavior, aversive behavior
- MeSH terms
- Channelrhodopsins, Amygdala, Animals, Cues, Dopamine, Drinking, Light, Male, Mice, Inbred C57BL, Nerve Fibers, Neural Pathways, Neurons, Nucleus Accumbens, Photic Stimulation, Reward, Sucrose, Behavior, Addictive, Receptors, Dopamine D1, Patch-Clamp Techniques, Glutamic Acid, Excitatory Postsynaptic Potentials, Mice
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