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.
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
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?
Circuits associated with motivated action may be strengthened before top-down projections to these regions have matured with experience and age.
“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
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.
“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
BLA projection neurons innervating the nucleus accumbens and ventral hippocampus primarily encode information with positive and negative valence, respectively.
“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]
Photostimulating BLA PNs targeting the vHPC increases anxiety-like behavior and reduces social interaction.
“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]
Photosilencing the BLA→vHPC pathway has effects opposite to photostimulation.
“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]
Stimulating NAc-targeting BLA PNs promotes reward-seeking.
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 · see citing works
The Emotional Brain, Fear, and the Amygdala
LeDoux, J. (2003) · Cellular and Molecular Neurobiology · doi:10.1023/a:1025048802629 · Cited by 1,818 · see citing works
Neuronal signalling of fear memory
Maren, S., & Quirk, G. J. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1535 · Cited by 1,428 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 999 · see citing works
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 · see citing works
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 · see citing works
McFarland, K., Lapish, C. C., & Kalivas, P. W. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-08-03531.2003 · Cited by 884 · see citing works
Channelrhodopsin-2 and optical control of excitable cells
Zhang, F., Wang, L., Boyden, E. S., & Deisseroth, K. A. (2006) · Nature Methods · doi:10.1038/nmeth936 · Cited by 683 · see citing works
Self-citationUnmanageable motivation in addiction: a pathology in prefrontal-accumbens glutamate transmission
Kalivas, P. W., Volkow, N., & Seamans, J. (2005) · Neuron · doi:10.1016/j.neuron.2005.02.005 · Cited by 657 · see citing works
Involvement of the amygdala in stimulus-reward associations: interaction with the ventral striatum
Cador, M., Robbins, T. W., & Everitt, B. J. (1989) · Neuroscience · doi:10.1016/0306-4522(89)90354-0 · Cited by 652 · see citing works
Parallel incentive processing: an integrated view of amygdala function
Balleine, B. W., & Killcross, S. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.03.002 · Cited by 622 · see citing works
Midbrain Dopamine Neurons Signal Preference for Advance Information about Upcoming Rewards
Bromberg-Martin, E. S., & Hikosaka, O. (2009) · Neuron · doi:10.1016/j.neuron.2009.06.009 · Cited by 548 · see citing works
Ambroggi, F., Ishikawa, A., Fields, H. L., & Nicola, S. M. (2008) · Neuron · doi:10.1016/j.neuron.2008.07.004 · Cited by 488 · see citing works
Di Ciano, P., Cardinal, R. N., Cowell, R. A., Little, S. J., & Everitt, B. J. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-23-09471.2001 · Cited by 354 · see citing works
Ciano, P. D., & Everitt, B. J. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.1581-04.2004 · Cited by 333 · see citing works
Reward-Predictive Cues Enhance Excitatory Synaptic Strength onto Midbrain Dopamine Neurons
Stuber, G. D., Klanker, M., de Ridder, B., Bowers, M. S., Joosten, R. N. J. M. A., Feenstra, M. G. P., & Bonci, A. (2008) · Science · doi:10.1126/science.1160873 · Cited by 307 · see citing works
Self-citationRapid strengthening of thalamo-amygdala synapses mediates cue–reward learning
Tye, K. M., Stuber, G. D., de Ridder, B., Bonci, A., & Janak, P. H. (2008) · Nature · doi:10.1038/nature06963 · Cited by 216 · see citing works
Self-citationWright, C. I., & Groenewegen, H. J. (1995) · The Journal of Comparative Neurology · doi:10.1002/cne.903610304 · Cited by 194 · see citing works
Shabel, S. J., & Janak, P. H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905580106 · Cited by 190 · see citing works
Shiflett, M. W., & Balleine, B. W. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07439.x · Cited by 170 · see citing works
Floresco, S., Yang, C. R., Phillips, A. G., & Blaha, C. D. (1998) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1998.00133.x · Cited by 163 · see citing works
Setlow, B., Holland, P. C., & Gallagher, M. (2002) · Behavioral Neuroscience · doi:10.1037//0735-7044.116.2.267 · Cited by 160 · see citing works
Setlow, B., Holland, P. C., & Gallagher, M. (2002) · Behavioral Neuroscience · doi:10.1037/0735-7044.116.2.267 · Cited by 160 · see citing works
Jones, J. L., Day, J. J., Aragona, B. J., Wheeler, R. A., Wightman, R. M., & Carelli, R. M. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.11.006 · Cited by 113 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
From circuits to behaviour in the amygdala
Janak, P. H., & Tye, K. M. (2015) · Nature · doi:10.1038/nature14188 · Cited by 2,011 · see citing works
Self-citationThe brain reward circuitry in mood disorders
Russo, S. J., & Nestler, E. J. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3381 · Cited by 1,870 · see citing works
Neuronal circuits for fear and anxiety
Tovote, P., Fadok, J. P., & Lüthi, A. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3945 · Cited by 1,786 · see citing works
Optogenetics: 10 years of microbial opsins in neuroscience
Deisseroth, K. A. (2015) · Nature Neuroscience · doi:10.1038/nn.4091 · Cited by 1,286 · see citing works
Self-citationRapid regulation of depression-related behaviours by control of midbrain dopamine neurons
Chaudhury, D., Walsh, J. J., Friedman, A. K., Juarez, B., Ku, S. M., Koo, J. W., Ferguson, D., Tsai, H.-C., Pomeranz, L., Christoffel, D. J., et al. (2013) · Nature · doi:10.1038/nature11713 · Cited by 1,156 · see citing works
Self-citationThe neurobiology of anhedonia and other reward-related deficits
Der-Avakian, A., & Markou, A. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2011.11.005 · Cited by 1,130 · see citing works
A Comprehensive Overview on Stress Neurobiology: Basic Concepts and Clinical Implications
Godoy, L. D., Rossignoli, M. T., Delfino-Pereira, P., Garcia‐Cairasco, N., & Umeoka, E. H. D. L. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2018.00127 · Cited by 884 · see citing works
Mattis, J., Tye, K. M., Ferenczi, E. A., Ramakrishnan, C., O'Shea, D. J., Prakash, R., Gunaydin, L. A., Hyun, M., Fenno, L. E., Gradinaru, V., et al. (2012) · Nature Methods · doi:10.1038/nmeth.1808 · Cited by 780 · see citing works
Self-citationBeyond simple models of self-control to circuit-based accounts of adolescent behavior
Casey, B. J. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015156 · Cited by 742 · see citing works
Synaptic and Behavioral Profile of Multiple Glutamatergic Inputs to the Nucleus Accumbens
Britt, J. P., Benaliouad, F., McDevitt, R. A., Stuber, G. D., Wise, R. A., & Bonci, A. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.040 · Cited by 716 · see citing works
Self-citationOptogenetic investigation of neural circuits underlying brain disease in animal models
Tye, K. M., & Deisseroth, K. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3171 · Cited by 745 · see citing works
Self-citationThe neural basis of reversal learning: An updated perspective
Izquierdo, A., Brigman, J. L., Radke, A. K., Rudebeck, P. H., & Holmes, A. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2016.03.021 · Cited by 670 · see citing works
Distinct extended amygdala circuits for divergent motivational states
Jennings, J. H., Sparta, D. R., Stamatakis, A. M., Ung, R. L., Pleil, K. E., Kash, T. L., & Stuber, G. D. (2013) · Nature · doi:10.1038/nature12041 · Cited by 704 · see citing works
Self-citationIntegration of optogenetics with complementary methodologies in systems neuroscience
Kim, C. K., Adhikari, A., & Deisseroth, K. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.15 · Cited by 690 · see citing works
Self-citationA circuit mechanism for differentiating positive and negative associations
Namburi, P., Beyeler, A., Yorozu, S., Calhoon, G. G., Halbert, S. A., Wichmann, R., Holden, S. S., Mertens, K. L., Anahtar, M., Felix-Ortiz, A. C., et al. (2015) · Nature · doi:10.1038/nature14366 · Cited by 614 · see citing works
Self-citationScofield, M. D., Heinsbroek, J. A., Gipson, C. D., Kupchik, Y. M., Spencer, S., Smith, A. C. W., Roberts-Wolfe, D., & Kalivas, P. W. (2016) · Pharmacological Reviews · doi:10.1124/pr.116.012484 · Cited by 598 · see citing works
Activation of VTA GABA Neurons Disrupts Reward Consumption
van Zessen, R., Phillips, J. L., Budygin, E. A., & Stuber, G. D. (2012) · Neuron · doi:10.1016/j.neuron.2012.02.016 · Cited by 609 · see citing works
Self-citationMemory Engram Cells Have Come of Age
Tonegawa, S., Liu, X., Ramirez, S., & Redondo, R. L. (2015) · Neuron · doi:10.1016/j.neuron.2015.08.002 · Cited by 613 · see citing works
Activation of lateral habenula inputs to the ventral midbrain promotes behavioral avoidance
Stamatakis, A. M., & Stuber, G. D. (2012) · Nature Neuroscience · doi:10.1038/nn.3145 · Cited by 564 · see citing works
Self-citationStriatal circuits for reward learning and decision-making
Cox, J., & Witten, I. B. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0189-2 · Cited by 554 · see citing works
Bidirectional switch of the valence associated with a hippocampal contextual memory engram
Redondo, R. L., Kim, J., Arons, A. L., Ramirez, S., Liu, X., & Tonegawa, S. (2014) · Nature · doi:10.1038/nature13725 · Cited by 512 · see citing works
Ventral hippocampal afferents to the nucleus accumbens regulate susceptibility to depression
Bagot, R. C., Parise, E. M., Peña, C. J., Zhang, H.-X., Maze, I., Chaudhury, D., Persaud, B., Cachope, R., Bolaños-Guzmán, C. A., Cheer, J. F., et al. (2015) · Nature Communications · doi:10.1038/ncomms8062 · Cited by 491 · see citing works
Self-citationA Network Model of the Emotional Brain
Pessoa, L. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.03.002 · Cited by 526 · see citing works
Rescuing cocaine-induced prefrontal cortex hypoactivity prevents compulsive cocaine seeking
Chen, B. T., Yau, H.-J., Hatch, C., Kusumoto-Yoshida, I., Cho, S. L., Hopf, F. W., & Bonci, A. (2013) · Nature · doi:10.1038/nature12024 · Cited by 498 · see citing works
Self-citationDifferential Innervation of Direct- and Indirect-Pathway Striatal Projection Neurons
Wall, N. R., De La Parra, M., Callaway, E. M., & Kreitzer, A. C. (2013) · Neuron · doi:10.1016/j.neuron.2013.05.014 · Cited by 489 · see citing works
Development of the emotional brain
Casey, B. J., Heller, A. S., Gee, D. G., & Cohen, A. O. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2017.11.055 · Cited by 485 · see citing works
Dorsal raphe neurons signal reward through 5-HT and glutamate
Liu, Z., Zhou, J., Li, Y., Hu, F., Lu, Y., Ma, M., Feng, Q., Zhang, J.-E., Wang, D., Zeng, J., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.02.010 · Cited by 469 · see citing works
Brain circuit dysfunction in post-traumatic stress disorder: from mouse to man
Fenster, R. J., Lebois, L. A. M., Ressler, K. J., & Suh, J. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0039-7 · Cited by 456 · see citing works
Divergent routing of positive and negative information from the amygdala during memory retrieval
Beyeler, A., Namburi, P., Glober, G. F., Simonnet, C., Calhoon, G. G., Conyers, G. F., Luck, R., Wildes, C. P., & Tye, K. M. (2016) · Neuron · doi:10.1016/j.neuron.2016.03.004 · Cited by 412 · see citing works
Self-citationPrefrontal cortex output circuits guide reward seeking through divergent cue encoding
Otis, J. M., Namboodiri, V. M. K., Matan, A. M., Voets, E. S., Mohorn, E. P., Kosyk, O., McHenry, J. A., Robinson, J. E., Resendez, S. L., Rossi, M. A., et al. (2017) · Nature · doi:10.1038/nature21376 · Cited by 412 · see citing works
Self-citationAntagonistic negative and positive neurons of the basolateral amygdala
Kim, J., Pignatelli, M., Xu, S., Itohara, S., & Tonegawa, S. (2016) · Nature Neuroscience · doi:10.1038/nn.4414 · Cited by 450 · see citing works
Yiu, A. P., Mercaldo, V., Chen, Y., Richards, B. A., Rashid, A. J., Hsiang, H., Pressey, J. C., Mahadevan, V., Tran, M. M., Kushner, S. A., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.07.017 · Cited by 442 · see citing works
Stachniak, T. J., Ghosh, A., & Sternson, S. M. (2014) · Neuron · doi:10.1016/j.neuron.2014.04.008 · Cited by 427 · see citing works
Construction of implantable optical fibers for long-term optogenetic manipulation of neural circuits
Sparta, D. R., Stamatakis, A. M., Phillips, J. L., Hovelsø, N., van Zessen, R., & Stuber, G. D. (2012) · Nature Protocols · doi:10.1038/nprot.2011.413 · Cited by 394 · see citing works
Self-citationCompetition between engrams influences fear memory formation and recall
Rashid, A. J., Chen, Y., Mercaldo, V., Hsiang, H., Park, S., Cole, C. J., Cristofaro, A. D., Yu, J., Ramakrishnan, C., Lee, S. Y., et al. (2016) · Science · doi:10.1126/science.aaf0594 · Cited by 424 · see citing works
Self-citationOverlapping Brain Circuits for Homeostatic and Hedonic Feeding
Rossi, M. A., & Stuber, G. D. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2017.09.021 · Cited by 415 · see citing works
Self-citationThe human sexual response cycle: Brain imaging evidence linking sex to other pleasures
Georgiadis, J. R., & Kringelbach, M. L. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.05.004 · Cited by 399 · see citing works
Francis, T. C., Chandra, R., Friend, D. M., Finkel, E., Dayrit, G., Miranda, J., Brooks, J. M., Iñiguez, S. D., O’Donnell, P., Kravitz, A., et al. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.07.021 · Cited by 379 · see citing works
A thalamic input to the nucleus accumbens mediates opiate dependence
Zhu, Y., Wienecke, C. F. R., Nachtrab, G. T., & Chen, X. (2016) · Nature · doi:10.1038/nature16954 · Cited by 386 · see citing works
Processing of visually evoked innate fear by a non-canonical thalamic pathway
Wei, P., Liu, N., Zhang, Z., Liu, X., Tang, Y., He, X., Wu, B., Zhou, Z., Liu, Y., Li, J., et al. (2015) · Nature Communications · doi:10.1038/ncomms7756 · Cited by 387 · see citing works
Closed-Loop and Activity-Guided Optogenetic Control
Grosenick, L., Marshel, J. H., & Deisseroth, K. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.034 · Cited by 384 · see citing works
Self-citationActivating positive memory engrams suppresses depression-like behaviour
Ramirez, S., Liu, X., MacDonald, C. J., Moffa, A., Zhou, J. Y., Redondo, R. L., & Tonegawa, S. (2015) · Nature · doi:10.1038/nature14514 · Cited by 373 · see citing works
Animal models of major depression and their clinical implications
Czéh, B., Fuchs, E., Wiborg, O., & Simon, M. (2016) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2015.04.004 · Cited by 375 · see citing works
Biophysical constraints of optogenetic inhibition at presynaptic terminals
Mahn, M., Prigge, M., Ron, S., Levy, R., & Yizhar, O. (2016) · Nature Neuroscience · doi:10.1038/nn.4266 · Cited by 361 · see citing works
Castro, D. C., Cole, S. L., & Berridge, K. C. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00090 · Cited by 333 · see citing works
Locus coeruleus to basolateral amygdala noradrenergic projections promote anxiety-like behavior
McCall, J. G., Siuda, E. R., Bhatti, D. L., Lawson, L. A., McElligott, Z. A., Stuber, G. D., & Bruchas, M. R. (2017) · eLife · doi:10.7554/elife.18247 · Cited by 322 · see citing works
Self-citationStress and the adolescent brain
Tottenham, N., & Galván, A. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.030 · Cited by 324 · see citing works
Homeostatic circuits selectively gate food cue responses in insular cortex
Livneh, Y., Ramesh, R. N., Burgess, C. R., Levandowski, K. M., Madara, J. C., Fenselau, H., Goldey, G. J., Diaz, V. E., Jikomes, N., Resch, J. M., et al. (2017) · Nature · doi:10.1038/nature22375 · Cited by 316 · see citing works
Silencing Neurons: Tools, Applications, and Experimental Constraints
Wiegert, J. S., Mahn, M., Prigge, M., Printz, Y., & Yizhar, O. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.050 · Cited by 306 · see citing works
Hypothalamic Survival Circuits: Blueprints for Purposive Behaviors
Sternson, S. M. (2013) · Neuron · doi:10.1016/j.neuron.2013.02.018 · Cited by 313 · see citing works
Navratilova, E., Xie, J. Y., Okun, A., Qu, C., Eyde, N., Ci, S., Ossipov, M. H., King, T., Fields, H. L., & Porreca, F. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1214605109 · Cited by 313 · see citing works
Seif, T., Chang, S., Simms, J. A., Gibb, S. L., Dadgar, J., Chen, B. T., Harvey, B. K., Dorit Ron, A., Messing, R. O., Bonci, A., et al. (2013) · Nature Neuroscience · doi:10.1038/nn.3445 · Cited by 310 · see citing works
Self-citationOrganization of valence-encoding and projection-defined neurons in the basolateral amygdala
Beyeler, A., Chang, C.-J., Silvestre, M., Lévêque, C., Namburi, P., Wildes, C. P., & Tye, K. M. (2018) · Cell Reports · doi:10.1016/j.celrep.2017.12.097 · Cited by 306 · see citing works
“Defining BLA populations by projection target has revealed functional divergences in valence coding (Beyeler et al., 2016;Burgos-Robles et al., 2017; Felix-Ortiz et al., 2013, 2016; Namburi et al., 2015; Stuber et al., 2011; Tye et al., 2011).”
BackgroundSelf-citationNeurobiology of Resilience: Interface Between Mind and Body
Cathomas, F., Murrough, J. W., Nestler, E. J., Han, M.-H., & Russo, S. J. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.04.011 · Cited by 296 · see citing works
“Distinct glutamatergic inputs to the NAc allow this region to bidirectionally regulate reward and aversion (59) (60) (61) (62), leading to the hypothesis that depression—and by extension resilience—may be due in part to alterations in glutamatergic function within the NAc (63).”
The basolateral amygdala in reward learning and addiction
Wassum, K. M., & Izquierdo, A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.08.017 · Cited by 306 · see citing works
From Structure to Behavior in Basolateral Amygdala-Hippocampus Circuits
Yang, Y., & Wang, J. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00086 · Cited by 301 · see citing works
Lee, B. R., Ma, Y., Huang, Y. H., Wang, X., Otaka, M., Ishikawa, M., Neumann, P. A., Graziane, N., Brown, T. E., Beroun, A., et al. (2013) · Nature Neuroscience · doi:10.1038/nn.3533 · Cited by 297 · see citing works
The neural and computational systems of social learning
Olsson, A., Knapska, E., & Lindström, B. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-0276-4 · Cited by 267 · see citing works
Optogenetic tools for analyzing the neural circuits of behavior
Bernstein, J. G., & Boyden, E. S. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.10.003 · Cited by 269 · see citing works
Cooper, S., Robison, A. J., & Mazei‐Robison, M. S. (2017) · Neurotherapeutics · doi:10.1007/s13311-017-0525-z · Cited by 264 · see citing works
Hu, H. (2016) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070815-014106 · Cited by 253 · see citing works
Gore, F., Schwartz, E. C., Brangers, B. C., Aladi, S., Stujenske, J. M., Likhtik, E., Russo, M. J., Gordon, J. A., Salzman, C. D., & Axel, R. (2015) · Cell · doi:10.1016/j.cell.2015.06.027 · Cited by 256 · see citing works
Amping Up Effort: Effects ofd-Amphetamine on Human Effort-Based Decision-Making
Wardle, M. C., Treadway, M. T., Mayo, L. M., Zald, D. H., & de Wit, H. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4387-11.2011 · Cited by 258 · see citing works
Cellular basis of memory for addiction
Nestler, E. J. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.4/enestler · Cited by 259 · see citing works
Neural Circuit Motifs in Valence Processing
Tye, K. M. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.001 · Cited by 247 · see citing works
Self-citationBasolateral amygdala and stress-induced hyperexcitability affect motivated behaviors and addiction
Sharp, B. M. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.161 · Cited by 244 · see citing works
Optogenetic inhibition of cocaine seeking in rats
Stefanik, M. T., Moussawi, K., Kupchik, Y. M., Smith, K. C., Miller, R. L., Huff, M. L., Deisseroth, K. A., Kalivas, P. W., & LaLumiere, R. T. (2012) · Addiction Biology · doi:10.1111/j.1369-1600.2012.00479.x · Cited by 241 · see citing works
Self-citationLeng, L., Zhuang, K., Liu, Z., Huang, C., Gao, Y., Chen, G., Lin, H. Z., Hu, Y., Wu, D., Shi, M., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.08.031 · Cited by 233 · see citing works
Anhedonia and the Brain Reward Circuitry in Depression
Heshmati, M., & Russo, S. J. (2015) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-015-0044-3 · Cited by 236 · see citing works
Neural structures mediating expression and extinction of platform-mediated avoidance
Bravo-Rivera, C., Roman-Ortiz, C., Brignoni-Perez, E., Sotres-Bayon, F., & Quirk, G. J. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.0191-14.2014 · Cited by 206 · see citing works
Shen, C.-J., Zheng, D., Li, K., Yang, J., Pan, H., Yu, X.-D., Fu, J., Zhu, Y., Sun, Q.-X., Tang, M., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0299-9 · Cited by 223 · see citing works
Beyond simple models of adolescence to an integrated circuit-based account: A commentary
Casey, B., Galván, A., & Somerville, L. H. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.12.006 · Cited by 206 · see citing works
Ventral tegmental area glutamate neurons co-release GABA and promote positive reinforcement
Yoo, J. H., Zell, V., Gutierrez-Reed, N. A., Wu, J., Ressler, R. L., Shenasa, M. A., Johnson, A. B., Fife, K. H., Faget, L. C., & Hnasko, T. S. (2016) · Nature Communications · doi:10.1038/ncomms13697 · Cited by 210 · see citing works
Optogenetic dissection of medial prefrontal cortex circuitry
Riga, D., Matos, M. R., Glas, A., Smit, A. B., Spijker, S., & Van den Oever, M. C. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00230 · Cited by 208 · see citing works
VTA glutamatergic inputs to nucleus accumbens drive aversion by acting on GABAergic interneurons
Qi, J., Zhang, S., Wang, H., Barker, D. J., Miranda-Barrientos, J. A., & Morales, M. (2016) · Nature Neuroscience · doi:10.1038/nn.4281 · Cited by 203 · see citing works
Fabrication and application of flexible, multimodal light-emitting devices for wireless optogenetics
McCall, J. G., Kim, T., Shin, G., Huang, X. L., Jung, Y. H., Al‐Hasani, R., Omenetto, F. G., Bruchas, M. R., & Rogers, J. A. (2013) · Nature Protocols · doi:10.1038/nprot.2013.158 · Cited by 202 · see citing works
McDevitt, R. A., Tiran-Cappello, A., Shen, H., Balderas, I., Britt, J. P., Marino, R. A. M., Chung, S. L., Richie, C. T., Harvey, B. K., & Bonci, A. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.08.037 · Cited by 203 · see citing works
Self-citationPathological circuit function underlying addiction and anxiety disorders
Lüthi, A., & Lüscher, C. (2014) · Nature Neuroscience · doi:10.1038/nn.3849 · Cited by 192 · see citing works
A cortical-brainstem circuit predicts and governs compulsive alcohol drinking
Siciliano, C. A., Noamany, H., Chang, C.-J., Brown, A. R., Chen, X., Leible, D., Lee, J. J., Wang, J., Vernon, A. N., Vander Weele, C. M., et al. (2019) · Science · doi:10.1126/science.aay1186 · Cited by 192 · see citing works
Self-citationBDNF is a negative modulator of morphine action
Koo, J. W., Mazei-Robison, M. S., Chaudhury, D., Juarez, B., LaPlant, Q., Ferguson, D., Feng, J., Sun, H., Scobie, K. N., Damez-Werno, D., et al. (2012) · Science · doi:10.1126/science.1222265 · Cited by 189 · see citing works
Bernstein, J. G., Garrity, P., & Boyden, E. S. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.10.023 · Cited by 187 · see citing works
Robinson, M. J. F., Warlow, S. M., & Berridge, K. C. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2013-14.2014 · Cited by 180 · see citing works
Chronic Stress Remodels Synapses in an Amygdala Circuit-Specific Manner
Zhang, J.-Y., Liu, T.-H., He, Y., Pan, H.-Q., Zhang, W.-H., Yin, X.-P., Tian, X.-L., Li, B.-M., Wang, X.-D., Holmes, A., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.06.019 · Cited by 183 · see citing works
Affective valence in the brain: modules or modes?
Berridge, K. C. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0122-8 · Cited by 183 · see citing works
Medial prefrontal D1 dopamine neurons control food intake
Land, B. B., Narayanan, N. S., Liu, R.-J., Gianessi, C. A., Brayton, C. E., Grimaldi, D. M., Sarhan, M., Guarnieri, D. J., Deisseroth, K. A., Aghajanian, G. K., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3625 · Cited by 180 · see citing works
Self-citationHypothalamic Neurotensin Projections Promote Reward by Enhancing Glutamate Transmission in the VTA
Kempadoo, K. A., Touriño, C., Cho, S. L., Magnani, F., Leinninger, G.-M., Stuber, G. D., Zhang, F., Myers, M. G., Deisseroth, K. A., de Lecea, L., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2588-12.2013 · Cited by 177 · see citing works
Self-citationManipulating fear associations via optogenetic modulation of amygdala inputs to prefrontal cortex
Klavir, O., Prigge, M., Sarel, A., Paz, R., & Yizhar, O. (2017) · Nature Neuroscience · doi:10.1038/nn.4523 · Cited by 178 · see citing works
Motivational neural circuits underlying reinforcement learning
Averbeck, B. B., & Costa, V. D. (2017) · Nature Neuroscience · doi:10.1038/nn.4506 · Cited by 175 · see citing works
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 178 · see citing works
Gruber, A. J., & McDonald, R. J. (2012) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2012.00050 · Cited by 173 · see citing works
Circuit dynamics of adaptive and maladaptive behaviour
Deisseroth, K. A. (2014) · Nature · doi:10.1038/nature12982 · Cited by 172 · see citing works
Self-citationEffects of early life stress on amygdala and striatal development
Fareri, D. S., & Tottenham, N. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.04.005 · Cited by 166 · see citing works
Klawonn, A. M., Fritz, M., Castany, S., Pignatelli, M., Canal, C., Similä, F., Tejeda, H. A., Levinsson, J., Jaarola, M., Jakobsson, J., et al. (2021) · Immunity · doi:10.1016/j.immuni.2020.12.016 · Cited by 161 · see citing works
Self-citationHart, G., Leung, B. K., & Balleine, B. W. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2013.11.003 · Cited by 166 · see citing works
A Hippocampus-Accumbens Tripartite Neuronal Motif Guides Appetitive Memory in Space
Trouche, S. G., Koren, V., Doig, N. M., Ellender, T. J., El-Gaby, M., Lopes‐dos‐Santos, V., Reeve, H. M., Perestenko, P. V., Garas, F. N., Magill, P. J., et al. (2019) · Cell · doi:10.1016/j.cell.2018.12.037 · Cited by 156 · see citing works
Toward Circuit Mechanisms of Pathophysiology in Depression
Spellman, T., & Liston, C. M. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.20030280 · Cited by 169 · see citing works
A midline thalamic circuit determines reactions to visual threat
Salay, L. D., Ishiko, N., & Huberman, A. D. (2018) · Nature · doi:10.1038/s41586-018-0078-2 · Cited by 164 · see citing works
Nucleus Accumbens Modulation in Reward and Aversion
Klawonn, A. M., & Malenka, R. C. (2018) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2018.83.037457 · Cited by 163 · see citing works
Kim, C. K., Ye, L., Jennings, J. H., Pichamoorthy, N., Tang, D. D., Yoo, A.-C. W., Ramakrishnan, C., & Deisseroth, K. (2017) · Cell · doi:10.1016/j.cell.2017.07.020 · Cited by 145 · see citing works
Self-citationCocaine exposure reorganizes cell type– and input-specific connectivity in the nucleus accumbens
MacAskill, A. F., Cassel, J. M., & Carter, A. G. (2014) · Nature Neuroscience · doi:10.1038/nn.3783 · Cited by 155 · see citing works
- 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
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