The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Dopamine neurons modulate neural encoding and expression of depression-related behaviour
Open accessAbstract
Major depression is characterized by diverse debilitating symptoms that include hopelessness and anhedonia. Dopamine neurons involved in reward and motivation are among many neural populations that have been hypothesized to be relevant, and certain antidepressant treatments, including medications and brain stimulation therapies, can influence the complex dopamine system. Until now it has not been possible to test this hypothesis directly, even in animal models, as existing therapeutic interventions are unable to specifically target dopamine neurons. Here we investigated directly the causal contributions of defined dopamine neurons to multidimensional depression-like phenotypes induced by chronic mild stress, by integrating behavioural, pharmacological, optogenetic and electrophysiological methods in freely moving rodents. We found that bidirectional control (inhibition or excitation) of specified midbrain dopamine neurons immediately and bidirectionally modulates (induces or relieves) multiple independent depression symptoms caused by chronic stress. By probing the circuit implementation of these effects, we observed that optogenetic recruitment of these dopamine neurons potently alters the neural encoding of depression-related behaviours in the downstream nucleus accumbens of freely moving rodents, suggesting that processes affecting depression symptoms may involve alterations in the neural encoding of action in limbic circuitry.
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 nucleus accumbens (NAc) is a critical link in corticomesolimbic reward circuits, integrating information from the prefrontal cortices (PFC), amygdala, and hippocampus to control the release of dopamine from the ventral tegmental area (VTA) back to the telencephalon [19][20][21][22][23].”
From Plasticity of synapses and reward circuit function in the genesis and treatment of depression (2023) · cites this paper as [20]
In the citing paper
“First, phasic firing changes in VTA DA neurons are inconsistent across stress models (66, 69).”
From Emerging Role for Nucleus Accumbens Medium Spiny Neuron Subtypes in Depression (2017) · cites this paper as [69]
In the citing paper
“A recent optogenetic study examining dopaminergic ventral tegmental area (VTA) projections into nucleus accumbens found that dopamine receptors are required for the action of these neurons in depression-related escape behavior.23”
From Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions (2021) · cites this paper as [23]
In the citing paper
“chronic mild stressinduced social behavioral deficits are associated with decreased DA release in limbic target regions [150].”
From Neural circuits regulating prosocial behaviors (2023) · cites this paper as [150]
In the citing paper
“Alterations in VTA DA activity will affect activity in multiple downstream targets, including the NAc and mPFC, which appear to be particularly important for mediating social avoidance [149, 150, 156-159].”
From Neural circuits regulating prosocial behaviors (2023) · cites this paper as [150]
In the citing paper
“VTA firing is also reduced in mice exposed to CUS and optogenetic stimulation in this context reverses, instead of promotes, stress-induced behavioral deficits [54].”
From The molecular and cellular mechanisms of depression: a focus on reward circuitry (2019) · cites this paper as [54]
In the citing paper
“Selective inhibition of VTA dopamine neurons induces anhedonia and behavioral despair; conversely, phasic activation of VTA dopamine neurons reverses chronic mild/unpredictable stress-induced depression-like phenotypes, a phenomenon dependent on dopamine transmission in the NAc [41].”
From Chronic unpredictable stress induces depression-related behaviors by suppressing AgRP neuron activity (2021) · cites this paper as [41]
In the citing paper
“Selective inhibition of VTA dopamine neurons induces anhedonia and behavioral despair; conversely, phasic activation of VTA dopamine neurons reverses chronic mild/unpredictable stress-induced depression-like phenotypes, a phenomenon dependent on dopamine transmission in the NAc [41].”
From Chronic unpredictable stress induces depression-related behaviors by suppressing AgRP neuron activity (2021) · cites this paper as [41]
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
Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.617 · Cited by 12,052
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Depression: a new animal model sensitive to antidepressant treatments
PORSOLT, R. D., LE PICHON, M., & JALFRE, M. (1977) · Nature · doi:10.1038/266730a0 · Cited by 4,451
Deep Brain Stimulation for Treatment-Resistant Depression
Mayberg, H. S., Lozano, A. M., Voon, V., McNeely, H. E., Seminowicz, D., Hamani, C., Schwalb, J. M., & Kennedy, S. H. (2005) · Neuron · doi:10.1016/j.neuron.2005.02.014 · Cited by 4,059
Antidepressant effects of ketamine in depressed patients
Berman, R. M., Cappiello, A., Anand, A., Oren, D. A., Heninger, G. R., Charney, D. S., & Krystal, J. H. (2000) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00230-9 · Cited by 3,856
Dopamine, learning and motivation.
Wise, R. A. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1406 · Cited by 3,379
Krishnan, V., Han, M.-H., Graham, D. L., Berton, O., Renthal, W., Russo, S. J., LaPlant, Q., Graham, A., Lutter, M., Lagace, D. C., et al. (2007) · Cell · doi:10.1016/j.cell.2007.09.018 · Cited by 2,307
The mesolimbic dopamine reward circuit in depression
Nestler, E. J., & Carlezon, W. A. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.09.018 · Cited by 2,059
Cryan, J. F., Mombereau, C., & Vassout, A. (2005) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2005.03.009 · Cited by 1,674
Ikemoto, S., & Panksepp, J. (1999) · Brain Research Reviews · doi:10.1016/s0165-0173(99)00023-5 · Cited by 1,450
Flagged first, then by citations
Cited by
Sorted by citations
Items 301–400 of 1,000
The vital role of constitutive GPCR activity in the mesolimbic dopamine system
Meye, F. J., Ramakers, G. M. J., & Adan, R. A. H. (2014) · Translational Psychiatry · doi:10.1038/tp.2013.130 · Cited by 55
Li, L., Sun, H., Ding, J., Niu, C., Su, M., Zhang, L., Li, Y., Wang, C., Gamper, N., Du, X., et al. (2017) · British Journal of Pharmacology · doi:10.1111/bph.14026 · Cited by 51
Fervaha, G., Foussias, G., Takeuchi, H., Agid, O., & Remington, G. J. (2015) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2015.12.004 · Cited by 60
He, E., Xu, S., Dai, Y., Wang, Y., Xiao, G., Xie, J., Xu, S., Fan, P., Mo, F., Wang, M., et al. (2021) · ACS Sensors · doi:10.1021/acssensors.1c01241 · Cited by 52
Cyclin-Dependent Kinase 5 in the Ventral Tegmental Area Regulates Depression-Related Behaviors
Zhong, P., Liu, X., Zhang, Z., Hu, Y. C., Liu, S. J., Lezama-Ruiz, M., Joksimovic, M., & Liu, Q.-S. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3673-13.2014 · Cited by 53
Retinal dysfunction of contrast processing in major depression also apparent in cortical activity
Bubl, E., Kern, E., Ebert, D., Riedel, A., van Elst, L. T., & Bach, M. (2015) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-014-0573-x · Cited by 56
Synaptic Plasticity onto Dopamine Neurons Shapes Fear Learning
Pignatelli, M., Umanah, G. K. E., Ribeiro, S. P., Chen, R., Karuppagounder, S. S., Yau, H., Eacker, S. M., Dawson, V. L., Dawson, T. M., & Bonci, A. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.030 · Cited by 59
Subbaiah, M. A. M. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b01827 · Cited by 53
Degeneration of dopaminergic circuitry influences depressive symptoms in Lewy body disorders
Patterson, L., Rushton, S., Attems, J., Thomas, A. J., & Morris, C. M. (2018) · Brain Pathology · doi:10.1111/bpa.12697 · Cited by 53
Sterpenich, V., Vidal, S., Hofmeister, J., Michalopoulos, G., Bancila, V., Warrot, D., Dayer, A., Desseilles, M., Aubry, J.-M., Kosel, M., et al. (2019) · Anesthesiology · doi:10.1097/aln.0000000000002667 · Cited by 53
Zheng, Y., He, J., Guo, L., Yao, L., Zheng, X., Yang, Z., Xia, Y., Wu, X., Su, Y., Xu, N., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00314 · Cited by 52
Radley, J. J., & Johnson, S. B. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.12.005 · Cited by 57
Li, J., Lu, C., Gao, Z., Feng, Y., Luo, H., Lu, T., Sun, X., Hu, J., & Luo, Y. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2020.108237 · Cited by 51
Dop1 enhances conspecific olfactory attraction by inhibiting miR-9a maturation in locusts
Guo, X., Ma, Z., Du, B., Li, T., Li, W., Xu, L., He, J., & Kang, L. (2018) · Nature Communications · doi:10.1038/s41467-018-03437-z · Cited by 50
A functional role of meningeal lymphatics in sex difference of stress susceptibility in mice
Dai, W.-P., Yang, M., Xia, P., Xiao, C., Huang, S., Zhang, Z., Cheng, X. R., Li, W., Jin, J., Zhang, J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32556-x · Cited by 49
Striatopallidal neurons control avoidance behavior in exploratory tasks
LeBlanc, K. H., London, T. D., Szczot, I., Bocarsly, M. E., Friend, D. M., Nguyen, K. P., Mengesha, M. M., Rubinstein, M., Alvarez, V. A., & Kravitz, A. V. (2018) · Molecular Psychiatry · doi:10.1038/s41380-018-0051-3 · Cited by 46
Non-viral delivery of an optogenetic tool into cells with self-healing hydrogel
Hsieh, F.-Y., Han, H., Chen, X., Yang, C., Wei, Y., & Hsu, S. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.05.014 · Cited by 52
Sahu, P., Mudgal, J., Arora, D. S., Kinra, M., Mallik, S. B., Rao, C. M., Pai, K. S. R., & Nampoothiri, M. (2019) · Psychopharmacology · doi:10.1007/s00213-019-5166-y · Cited by 52
Price, J. B., Rusheen, A. E., Barath, A. S., Cabrera, J. M. R., Shin, H., Chang, S.-Y., Kimble, C. J., Bennet, K. E., Blaha, C. D., Lee, K. H., et al. (2020) · Neurosurgical FOCUS · doi:10.3171/2020.4.focus20167 · Cited by 54
Wu, M., Minkowicz, S., Dumrongprechachan, V., Hamilton, P., Xiao, L., & Kozorovitskiy, Y. (2021) · eLife · doi:10.7554/elife.64041 · Cited by 54
The Eph receptor A4 plays a role in demyelination and depression-related behavior
Li, Y., Su, P., Chen, Y., Nie, J., Yuan, T., Wong, A. H. C., & Liu, F. (2022) · Journal of Clinical Investigation · doi:10.1172/jci152187 · Cited by 52
Santoro, M., Fadda, P., Klephan, K. J., Hull, C. E., Teismann, P., Platt, B., & Riedel, G. (2022) · Journal of Neurochemistry · doi:10.1111/jnc.15699 · Cited by 54
Song, N., Liu, Z., Gao, Y., Lu, S., Yang, S., & Yuan, C. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02476-x · Cited by 52
Ranganath, A., & Jacob, S. N. (2015) · The Neuroscientist · doi:10.1177/1073858415602850 · Cited by 52
Ting, J. T., & Feng, G. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.02.037 · Cited by 50
Munoz, M. B., & Slesinger, P. A. (2014) · Neuron · doi:10.1016/j.neuron.2014.03.011 · Cited by 50
Stelly, C. E., Pomrenze, M. B., Cook, J. B., & Morikawa, H. (2016) · eLife · doi:10.7554/elife.15448 · Cited by 55
Ventral tegmental area subcircuits process rewarding and aversive experiences
Bariselli, S., Glangetas, C., Tzanoulinou, S., & Bellone, C. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13779 · Cited by 52
García‐Rojo, G., Fresno, C., Vilches, N., Díaz‐Véliz, G., Mora, S., Aguayo, F. I., Pacheco, A., Parra-Fiedler, N. A., Parra, C. S., Rojas, P. S., et al. (2016) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyw108 · Cited by 51
Söderlund, J., & Lindskog, M. (2018) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyy037 · Cited by 54
Belujon, P., Jakobowski, N. L., Dollish, H. K., & Grace, A. A. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.191 · Cited by 52
Kuniishi, H., Yamada, D., Wada, K., Yamada, M., & Sekiguchi, M. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0837-3 · Cited by 47
Greenberg, G. D., Steinman, M. Q., Doig, I. E., Hao, R., & Trainor, B. C. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.13099 · Cited by 49
Treadway, M. T., Etuk, S., Cooper, J. A., Hossein, S., Hahn, E., Betters, S. A., Liu, S., Arulpragasam, A. R., DeVries, B. A. M., Irfan, N., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02751-x · Cited by 58
Establishing diversity in the dopaminergic system
Bodea, G. O., & Blaess, S. (2015) · FEBS Letters · doi:10.1016/j.febslet.2015.09.016 · Cited by 50
Al‐Hasani, R., McCall, J. G., & Bruchas, M. R. (2013) · Frontiers in Pharmacology · doi:10.3389/fphar.2013.00096 · Cited by 49
Shen, M. Y. F., Perreault, M. L., Bambico, F. R., Jones-Tabah, J., Cheung, M., Fan, T., Nóbrega, J. N., & George, S. R. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.09.004 · Cited by 52
The Sweet Drive Test: refining phenotypic characterization of anhedonic behavior in rodents
Mateus‐Pinheiro, A., PatrÃcio, P., Alves, N. D., Machado-Santos, A. R., Morais, M., Bessa, J. M., Sousa, N., & Pinto, L. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00074 · Cited by 48
Scarpellini, B., Zanoni, M., Sucupira, M. C. A., Truong, H. M., Janini, L. M., Segurado, I. D. C., & Diaz, R. S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0161920 · Cited by 48
Kang, K., Wang, B., Ji, X., Liu, Y., Zhao, W., Du, Y., Guo, Z., & Ren, J. (2021) · RSC Advances · doi:10.1039/d0ra08224d · Cited by 48
Döbrössy, M. D., Furlanetti, L. L., & Coenen, V. A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.11.018 · Cited by 47
Li, Q., Zhang, B., Cao, H., Liu, W., Guo, F., Shen, F., Ye, B., Liu, H., Li, Y., & Liu, Z. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2019.107836 · Cited by 47
Kim, Y., McGee, S. L., Czeczor, J. K., Walker, A. J., Kale, R. P., Kouzani, A. Z., Walder, K. R., Berk, M., & Tye, S. J. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.84 · Cited by 47
Pettorruso, M., d’Andrea, G., Martinotti, G., Cocciolillo, F., Miuli, A., Muzio, I. D., Collevecchio, R., Verrastro, V., De‐Giorgio, F., Janiri, L., et al. (2020) · Brain Sciences · doi:10.3390/brainsci10080519 · Cited by 48
Homan, P., Neumeister, A., Nugent, A. C., Charney, D. S., Drevets, W. C., & Hasler, G. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.25 · Cited by 46
Nucleus Accumbens-Specific Interventions in RGS9-2 Activity Modulate Responses to Morphine
Gaspari, S., Papachatzaki, M. M., Koo, J. W., Carr, F. B., Tsimpanouli, M.-E., Stergiou, E., Bagot, R. C., Ferguson, D., Mouzon, E., Chakravarty, S., et al. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.45 · Cited by 47
Self-citationMay, T., Ozden, I., Brush, B. R., Borton, D. A., Wagner, F. B., Agha, N. S., Sheinberg, D. L., & Nurmikko, A. V. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114529 · Cited by 47
Dynamically Timed Stimulation of Corticolimbic Circuitry Activates a Stress-Compensatory Pathway
Carlson, D., David, L. K., Gallagher, N. M., Vu, M.-A. T., Shirley, M., Hultman, R. C., Wang, J., Burrus, C. J., McClung, C. A., Kumar, S., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.06.008 · Cited by 51
Fischbach-Weiss, S., Reese, R. M., & Janak, P. H. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.12.003 · Cited by 47
Retinoic acid and depressive disorders: Evidence and possible neurobiological mechanisms
Hu, P., van Dam, A., Wang, Y., Lucassen, P. J., & Zhou, J.-N. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.02.013 · Cited by 48
Animal models of recurrent or bipolar depression
Kato, T., Kasahara, T., Kubota‐Sakashita, M., Kato, T., & Nakajima, K. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.08.016 · Cited by 50
Tan, L., Ge, H., Tang, J., Fu, C., Duanmu, W., Chen, Y., Hu, R., Sui, J.-F., Liu, X., & Feng, H. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.10.037 · Cited by 47
Buchta, W. C., Mahler, S. V., Harlan, B. A., Aston‐Jones, G., & Riegel, A. C. (2017) · Physiological Reports · doi:10.14814/phy2.13198 · Cited by 48
Hippocampal Input to the Nucleus Accumbens Shell Enhances Food Palatability
Yang, A. K., Mendoza, J. A., Lafferty, C. K., Lacroix, F., & Britt, J. P. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.09.007 · Cited by 43
Small, K. M., Nunes, E., Hughley, S., & Addy, N. A. (2016) · Neuroscience Letters · doi:10.1016/j.neulet.2016.01.057 · Cited by 43
Working memory genetics in schizophrenia and related disorders: An RDoC perspective
Schwarz, E., Tost, H., & Meyer‐Lindenberg, A. (2015) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32353 · Cited by 46
Bergamini, G., Sigrist, H., Ferger, B., Singewald, N., Seifritz, E., & Pryce, C. R. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.03.048 · Cited by 48
Chocyk, A., Majcher‐Maślanka, I., Przyborowska, A., Maćkowiak, M., & Wędzony, K. (2015) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2015.05.002 · Cited by 45
Tao, C., Zhang, G.-W., Sun, W.-J., Huang, J. J., Zhang, L. I., & Tao, H. W. (2024) · Nature Communications · doi:10.1038/s41467-024-52727-2 · Cited by 42
Ventral tegmental area cholinergic mechanisms mediate behavioral responses in the forced swim test
Addy, N. A., Nunes, E. J., & Wickham, R. J. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.04.002 · Cited by 42
Ploski, J. E., & Vaidya, V. A. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.04.009 · Cited by 46
Modulating cell signalling in vivo with magnetic nanotransducers
Romero, G., Park, J., Koehler, F., Pralle, A., & Anikeeva, P. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00170-2 · Cited by 46
A stress-sensitive frontostriatal circuit supporting effortful reward-seeking behavior
Fetcho, R. N., Parekh, P. K., Chou, J., Kenwood, M. M., Chalençon, L., Estrin, D. J., Johnson, M. M., & Liston, C. M. (2023) · Neuron · doi:10.1016/j.neuron.2023.10.020 · Cited by 44
The depressogenic potential of added dietary sugars
Reis, D. J., Ilardi, S. S., Namekata, M. S., Wing, E. K., & Fowler, C. H. (2019) · Medical Hypotheses · doi:10.1016/j.mehy.2019.109421 · Cited by 45
Implantable Micro-Light-Emitting Diode (µLED)-based optogenetic interfaces toward human applications
Lee, J. H., Lee, S., Kim, D., & Lee, K. J. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114399 · Cited by 43
Dai, C., Gupta, S., Wang, Z., Jiang, H., Velkov, T., & Shen, J. (2022) · Food and Chemical Toxicology · doi:10.1016/j.fct.2022.113262 · Cited by 41
Sugama, S., & Kakinuma, Y. (2016) · Neuroscience Research · doi:10.1016/j.neures.2016.04.008 · Cited by 42
Stress Induced Hormone and Neuromodulator Changes in Menopausal Depressive Rats
Gu, S., Jing, L., Li, Y., Huang, J. H., & Wang, F. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00253 · Cited by 42
Lee, E. H., & Han, P. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.03.014 · Cited by 41
Plasticity of synapses and reward circuit function in the genesis and treatment of depression
Thompson, S. M. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-022-01422-1 · Cited by 40
Multiple Facets of Value-Based Decision Making in Major Depressive Disorder
Mukherjee, D., Lee, S., Kazinka, R., Satterthwaite, T. D., & Kable, J. W. (2020) · Scientific Reports · doi:10.1038/s41598-020-60230-z · Cited by 46
Progress in Brain‐Compatible Interfaces with Soft Nanomaterials
Jeong, Y., Lee, H. E., Shin, A., Kim, D., Lee, K. J., & Kim, D. (2020) · Advanced Materials · doi:10.1002/adma.201907522 · Cited by 40
New insights on brain‐derived neurotrophic factor epigenetics: from depression to memory extinction
Poon, C. H., Heng, B. C., & Lim, L. W. (2021) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14458 · Cited by 40
Gazit, T., Friedman, A., Lax, E., Bruchim-Samuel, M., Zahut, R., Katz, M., Abraham, L., Tischler, H., Teicher, M., & Yadid, G. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.12.003 · Cited by 39
Musical prescriptions for mood improvement: An experimental study
Garrido, S., Schubert, E., & Bangert, D. (2016) · The Arts in Psychotherapy · doi:10.1016/j.aip.2016.09.002 · Cited by 44
Zhang, T., Hong, J., Di, T., & Chen, L. (2016) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2016.00101 · Cited by 39
Chen, P., Wang, K., Wang, J., Wassing, R., Eickhoff, S. B., Tahmasian, M., & Ji, C. (2025) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2025.102093 · Cited by 46
Neurochemicals, Behaviours and Psychiatric Perspectives of Neurological Diseases
Choudhury, A., Sahu, T., Ramanujam, P. L., Banerjee, A. K., Chakraborty, I., Arun Kumar, R., & Arora, N. (2018) · Neuropsychiatry · doi:10.4172/neuropsychiatry.1000361 · Cited by 41
Moriya, S., Yamashita, A., Kawashima, S., Nishi, R., Yamanaka, A., & Kuwaki, T. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.06.027 · Cited by 41
Analysis of the molecular and behavioral effects of acute social isolation on rats
Alshammari, T. K., Alghamdi, H., Alkhader, L. F., Alqahtani, Q. H., Al-Rasheed, N. M., Yacoub, H. I., Alnaem, N., AlNakiyah, M., & Alshammari, M. A. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.112191 · Cited by 39
Dong, G., Li, X., Han, G., Du, L., & Li, M. (2019) · Chemosphere · doi:10.1016/j.chemosphere.2019.125431 · Cited by 39
Xu, X., Xiao, Q., Hong, Y., Liu, Y., Liu, Y., & Tu, J. (2020) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13465 · Cited by 38
Xu, D. W., Qiu, C., Wang, Y., Qiao, T., & Cui, Y. (2021) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2021.120667 · Cited by 39
The VTA dopaminergic system as diagnostic and therapeutical target for Alzheimer's disease
Krashia, P., Spoleti, E., & D’Amelio, M. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1039725 · Cited by 41
Zhang, Y. F., Wu, J., Wang, Y., Johnson, N. L., Bhattarai, J. P., Li, G., Wang, W., Guevara, C., Shoenhard, H., Fuccillo, M. V., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42662-z · Cited by 37
Understanding the neural code of stress to control anhedonia
Xia, F., Fascianelli, V., Vishwakarma, N., Ghinger, F. G., Kwon, A., Gergues, M. M., Lalani, L. K., Fusi, S., & Kheirbek, M. A. (2024) · Nature · doi:10.1038/s41586-024-08241-y · Cited by 38
Contemporary approaches to neural circuit manipulation and mapping: focus on reward and addiction
Saunders, B. T., Richard, J. M., & Janak, P. H. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0210 · Cited by 40
Dopamine Rebound-Excitation Theory: Putting Brakes on PTSD
Lee, J. C., Wang, L. P., & Tsien, J. Z. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00163 · Cited by 42
Laugeray, A., Oummadi, A., Jourdain, C., Feat-Vetel, J., Meyer-Dilhet, G., Menuet, A., Plé, K., Gay, M., Routier, S., Mortaud, S., et al. (2017) · Neurotoxicity Research · doi:10.1007/s12640-017-9802-1 · Cited by 38
Maddaloni, G., Migliarini, S., Napolitano, F., Giorgi, A. U. D., Nazzi, S., Biasci, D., Felice, A. D., Gritti, M., Cavaccini, A., Galbusera, A., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-30291-2 · Cited by 41
Valence processing in the PFC: Reconciling circuit-level and systems-level views
Coley, A. A., Padilla-Coreano, N., Patel, R. R., & Tye, K. M. (2021) · International review of neurobiology · doi:10.1016/bs.irn.2020.12.002 · Cited by 39
Self-citationBrain–computer interfaces for neuropsychiatric disorders
Oganesian, L. L., & Shanechi, M. M. (2024) · Nature Reviews Bioengineering · doi:10.1038/s44222-024-00177-2 · Cited by 47
Time course study of microglial and behavioral alterations induced by 6-hydroxydopamine in rats
Silva, T. P. D., Poli, A., Hara, D. B., & Takahashi, R. N. (2016) · Neuroscience Letters · doi:10.1016/j.neulet.2016.04.049 · Cited by 37
Biała, G., Pękała, K., Boguszewska‐Czubara, A., Michalak, A., Kruk-Słomka, M., Grot, K., & Budzyńska, B. (2017) · Molecular Neurobiology · doi:10.1007/s12035-017-0585-4 · Cited by 39
Melancholy, anhedonia, apathy: the search for separable behaviors and neural circuits in depression
Post, R. J., & Warden, M. R. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.02.018 · Cited by 39
Self-citationToward an understanding of the habenula's various roles in human depression
Aizawa, H., & Zhu, M. (2019) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12892 · Cited by 38
Furlanetti, L. L., Coenen, V. A., & Döbrössy, M. D. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.11.036 · Cited by 43
The Eph receptor A4 plays a role in demyelination and depression-related behavior
Li, Y., Su, P., Chen, Y., Nie, J., Yuan, T., Wong, A. H. C., & Liu, F. (2022) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 36
Role of the mesolimbic dopamine pathway in the antidepressant effects of ketamine
Cardona-Acosta, A. M., & Bolaños‐Guzmán, C. A. (2022) · Neuropharmacology · doi:10.1016/j.neuropharm.2022.109374 · Cited by 36
Matsumura, T., Nakagawa, H., Suzuki, K., Ninomiya, C., & Ishiwata, T. (2015) · Chronobiology International · doi:10.3109/07420528.2015.1105250 · Cited by 38
Metadata
- Authors
- Tye, K. M., Mirzabekov, J. J., Warden, M. R., Ferenczi, E. A., Tsai, H.-C., Finkelstein, J., Kim, S.-Y., Adhikari, A., Thompson, K. R., Andalman, A. S., Gunaydin, L. A., Witten, I. B., & Deisseroth, K.
- Affiliations
- Massachusetts Institute of Technology (US)
- Stanford University (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Tye, Kay M.
- Deisseroth, Karl
- ORCID
- Venue
- Nature
- Published
- 2012-12-12
- Volume
- 493
- Issue
- 7433
- Pages
- 537-541
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4160519
- OpenAlex
- W2117782909
- Cited by
- 1,073
- References
- 34
- Citations by year
- 2026: 47 · 2025: 79 · 2024: 75 · 2023: 78 · 2022: 87 · 2021: 112 · 2020: 67 · 2019: 98 · 2018: 84 · 2017: 68 · 2016: 72 · 2015: 83 · 2014: 70 · 2013: 50 · 2012: 2
- FWCI
- 27.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- PMC
- Funders
- Howard Hughes Medical Institute
- W. M. Keck Foundation
- McKnight Foundation
- National Alliance for Research on Schizophrenia and Depression
- Defense Advanced Research Projects Agency
- National Institute of Mental Health (F32 MH880102)
- National Institute on Drug Abuse (DP2DA035149)
- National Institute of Diabetes and Digestive and Kidney Diseases (DP2DK102256)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Keywords
- midbrain dopaminergic neurons, ventral tegmental area, depression, chronic mild stress, social defeat, nucleus accumbens, neural coding, phasic neuronal activity, optogenetic manipulation, stress resilience, anhedonia, depression-like behavior, freely moving rodents
- MeSH terms
- Animals, Depression, Dopamine, Female, Male, Models, Neurological, Nucleus Accumbens, Phenotype, Stress, Psychological, Time Factors, Ventral Tegmental Area, Rats, Long-Evans, Mice, Rats, Dopaminergic Neurons, Optogenetics
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