Intact-brain analyses reveal distinct information carried by SNc dopamine subcircuits
Open accessAbstract
Recent progress in understanding the diversity of midbrain dopamine neurons has highlighted the importance--and the challenges--of defining mammalian neuronal cell types. Although neurons may be best categorized using inclusive criteria spanning biophysical properties, wiring of inputs, wiring of outputs, and activity during behavior, linking all of these measurements to cell types within the intact brains of living mammals has been difficult. Here, using an array of intact-brain circuit interrogation tools, including CLARITY, COLM, optogenetics, viral tracing, and fiber photometry, we explore the diversity of dopamine neurons within the substantia nigra pars compacta (SNc). We identify two parallel nigrostriatal dopamine neuron subpopulations differing in biophysical properties, input wiring, output wiring to dorsomedial striatum (DMS) versus dorsolateral striatum (DLS), and natural activity patterns during free behavior. Our results reveal independently operating nigrostriatal information streams, with implications for understanding the logic of dopaminergic feedback circuits and the diversity of mammalian neuronal cell types.
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The input-output architecture of the DR serotonin system differs from the locus coeruleus norepinephrine system with more homogeneous input and output, and resembles midbrain dopamine systems with biased input and segregated output.
“Thus, the input-output architecture of the DR serotonin system differs from that of the locus coeruleus norepinephrine system with more homogeneous input and output (Schwarz et al., 2015), and resembles more closely those of the midbrain dopamine systems (Beier et al., 2015; Lerner et al., 2015), with biased input and segregated output.”
From Anatomically defined and functionally distinct dorsal raphe serotonin sub-systems (2018) · cites this paper as Lerner et al., 2015
A strong activation in response to the physical impact of an aversive stimulus in particularly sensitive neurons may supersede a depression reflecting the negative value, and this might appear as a categorical difference in aversive and motivational salience coding.
“Thus, a strong activation in response to the physical impact of an aversive stimulus in particularly sensitive neurons may supersede a depression reflecting the negative value, and this might appear as a categorical difference in aversive and motivational salience coding15,23,24,134.”
From Dopamine reward prediction-error signalling: A two-component response (2016) · cites this paper as [134]
Dopamine neurons in the lateral midbrain display greater burst activity in vivo and higher excitability in vitro than those in the medial midbrain, such as the ventral tegmental area (VTA).
“Dopamine neurons in the lateral midbrain display greater burst activity in vivo28 and higher excitability in vitro29,30 than those in the medial midbrain, such as the ventral tegmental area (VTA), where canonical reward-processing dopamine neurons reside.”
From Dopamine dynamics as a regulatory mechanism for shifting between defensive and reward-seeking behaviors (2026) · cites this paper as [30]
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“Seminal early studies into the information encoded by midbrain DA neurons suggested that a key function of DA is to transmit reward prediction error signals (Mirenowicz and Schultz, 1996; Schultz et al., 1997; Waelti et al., 2001), a hypothesis concordant with temporal difference learning models (Montague et al.”
ResultUltrasensitive fluorescent proteins for imaging neuronal activity
Chen, T.-W., Wardill, T. J., Sun, Y., Pulver, S. R., Renninger, S. L., Baohan, A., Schreiter, E. R., Kerr, R. A., Orger, M. B., Jayaraman, V., et al. (2013) · Nature · doi:10.1038/nature12354 · Cited by 6,474 · cited 1× · see citing works
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“…neurons suggested that a key function of DA is to transmit reward prediction error signals (Mirenowicz and Schultz, 1996; Schultz et al., 1997; Waelti et al., 2001), a hypothesis concordant with temporal difference learning models (Montague et al., 1996, 2004; Steinberg et al., 2013; Sutton, 1988).”
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BackgroundInfluentialA framework for mesencephalic dopamine systems based on predictive Hebbian learning
Montague, P., Dayan, P., & Sejnowski, T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-05-01936.1996 · Cited by 2,066 · cited 1× · see citing works
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Structural and molecular interrogation of intact biological systems
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BackgroundNatural neural projection dynamics underlying social behavior
Gunaydin, L. A., Grosenick, L., Finkelstein, J. C., Kauvar, I. V., Fenno, L. E., Adhikari, A., Lammel, S., Mirzabekov, J. J., Airan, R. D., Zalocusky, K. A., et al. (2014) · Cell · doi:10.1016/j.cell.2014.05.017 · Cited by 1,389 · cited 1× · see citing works
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MethodTwo types of dopamine neuron distinctly convey positive and negative motivational signals
Matsumoto, M., & Hikosaka, O. (2009) · Nature · doi:10.1038/nature08028 · Cited by 1,378 · cited 5× · see citing works
“Another study used recordings in awake monkeys to demonstrate a correlation between the depth at which a DA neuron was recorded along the electrode (indicating a more ventromedial location in the midbrain) and the likelihood that it would decrease rather than increase its firing in response to an aversive cue (Matsumo…”
BackgroundResultInfluentialNeuron-type-specific signals for reward and punishment in the ventral tegmental area
Cohen, J. Y., Haesler, S., Vong, L., Lowell, B. B., & Uchida, N. (2012) · Nature · doi:10.1038/nature10754 · Cited by 1,318 · see citing works
Input-specific control of reward and aversion in the ventral tegmental area
Lammel, S., Lim, B. K., Ran, C., Huang, K. W., Betley, M. J., Tye, K. M., Deisseroth, K., & Malenka, R. C. (2012) · Nature · doi:10.1038/nature11527 · Cited by 1,300 · cited 1× · see citing works
“…target-defined subpopulations are located in different subregions of the VTA, their excitatory synapses are differentially modulated by rewarding and aversive stimuli, and they receive distinct inputs, which can elicit opposite behaviors when selectively recruited (Lammel et al., 2008, 2011, 2012).”
BackgroundYin, H. H., Knowlton, B. J., & Balleine, B. W. (2004) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2004.03095.x · Cited by 1,226 · cited 1× · see citing works
“…functionally distinguished by previous studies (Castañé et al., 2010; Faure et al., 2005; Featherstone and McDonald, 2004; Yin and Knowlton, 2004; Yin et al., 2004, 2005a, 2009, 2005b), leading us to hypothesize that SNc projections to these areas might also participate in separable circuits.”
Whole-Brain Mapping of Direct Inputs to Midbrain Dopamine Neurons
Watabe‐Uchida, M., Zhu, L., Ogawa, S. K., Vamanrao, A., & Uchida, N. (2012) · Neuron · doi:10.1016/j.neuron.2012.03.017 · Cited by 1,221 · cited 3× · see citing works
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BackgroundResultInfluentialMonosynaptic Restriction of Transsynaptic Tracing from Single, Genetically Targeted Neurons
Wickersham, I. R., Lyon, D. C., Barnard, R. J. O., Mori, T., Finke, S., Conzelmann, K., Young, J. A. T., & Callaway, E. M. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.033 · Cited by 1,176 · cited 1× · see citing works
“…utilizing a GFP-expressing rabies virus (RVdGGFP) that both lacks the glycoprotein needed to spread transsynaptically and is pseudotyped with EnvA (so that it can infect only neurons expressing TVA, an avian receptor protein normally absent in mammalian cells [Wickersham et al., 2007]).”
MethodThe role of the dorsomedial striatum in instrumental conditioning
Yin, H. H., Ostlund, S. B., Knowlton, B. J., & Balleine, B. W. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04218.x · Cited by 1,099 · cited 1× · see citing works
“…functionally distinguished by previous studies (Castañé et al., 2010; Faure et al., 2005; Featherstone and McDonald, 2004; Yin and Knowlton, 2004; Yin et al., 2004, 2005a, 2009, 2005b), leading us to hypothesize that SNc projections to these areas might also participate in separable circuits.”
Circuit architecture of VTA dopamine neurons revealed by systematic input-output mapping
Beier, K. T., Steinberg, E. E., DeLoach, K. E., Xie, S., Miyamichi, K., Schwarz, L., Gao, X. J., Kremer, E. J., Malenka, R. C., & Luo, L. (2015) · Cell · doi:10.1016/j.cell.2015.07.015 · Cited by 1,068 · cited 2× · see citing works
“Afferents to projection-defined SNc DA neurons also differ; in particular, we here identify new principles of afferent-projection complexity in SNc subcircuits (see Beier et al., 2015 for additional illuminating information regarding VTA subcircuits).”
BackgroundMethodThe subcellular organization of neocortical excitatory connections
Petreanu, L., Mao, T., Sternson, S. M., & Svoboda, K. (2009) · Nature · doi:10.1038/nature07709 · Cited by 1,047 · cited 2× · see citing works
“…potassium channel antagonist 4-AP (100 mM) to isolate monosynaptic inputs by preventing disynaptic disinhibitory responses through the GABAergic cells of the SNr (with TTX) while enabling ChR2 to drive neurotransmitter release in the absence of action potentials (with 4-AP) (Petreanu et al., 2009).”
BackgroundDopamine responses comply with basic assumptions of formal learning theory
Waelti, P., Dickinson, A., & Schultz, W. (2001) · Nature · doi:10.1038/35083500 · Cited by 1,018 · cited 2× · see citing works
“Seminal early studies into the information encoded by midbrain DA neurons suggested that a key function of DA is to transmit reward prediction error signals (Mirenowicz and Schultz, 1996; Schultz et al., 1997; Waelti et al., 2001), a hypothesis concordant with temporal difference learning models (Montague et al.”
ResultUnique properties of mesoprefrontal neurons within a dual mesocorticolimbic dopamine system
Lammel, S., Hetzel, A., Häckel, O., Jones, I., Liss, B., & Roeper, J. (2008) · Neuron · doi:10.1016/j.neuron.2008.01.022 · Cited by 976 · cited 3× · see citing works
“…target-defined subpopulations are located in different subregions of the VTA, their excitatory synapses are differentially modulated by rewarding and aversive stimuli, and they receive distinct inputs, which can elicit opposite behaviors when selectively recruited (Lammel et al., 2008, 2011, 2012).”
BackgroundComputational roles for dopamine in behavioural control
Montague, P. R., Hyman, S. E., & Cohen, J. D. (2004) · Nature · doi:10.1038/nature03015 · Cited by 966 · cited 1× · see citing works
“…neurons suggested that a key function of DA is to transmit reward prediction error signals (Mirenowicz and Schultz, 1996; Schultz et al., 1997; Waelti et al., 2001), a hypothesis concordant with temporal difference learning models (Montague et al., 1996, 2004; Steinberg et al., 2013; Sutton, 1988).”
A causal link between prediction errors, dopamine neurons and learning
Steinberg, E. E., Keiflin, R., Boivin, J. R., Witten, I. B., Deisseroth, K. A., & Janak, P. H. (2013) · Nature Neuroscience · doi:10.1038/nn.3413 · Cited by 879 · cited 2× · see citing works
“…neurons suggested that a key function of DA is to transmit reward prediction error signals (Mirenowicz and Schultz, 1996; Schultz et al., 1997; Waelti et al., 2001), a hypothesis concordant with temporal difference learning models (Montague et al., 1996, 2004; Steinberg et al., 2013; Sutton, 1988).”
BackgroundAdvanced CLARITY for rapid and high-resolution imaging of intact tissues
Tomer, R., Ye, L., Hsueh, B., & Deisseroth, K. (2014) · Nature Protocols · doi:10.1038/nprot.2014.123 · Cited by 842 · cited 20× · see citing works
“…CLARITYmonomer solution containing 1% acrylamide, 0.0125% bis-acrylamide, and 4% PFA and then polymerized at 37 C for 6–7 hr. Brains were passively cleared in SDS Borate Buffer (pH 8.5) at 37 C for 4–5 weeks, equilibrated in Focusclear for imaging and imaged using COLM methods (Tomer et al., 2014).”
BackgroundMethodInfluentialPreferential activation of midbrain dopamine neurons by appetitive rather than aversive stimuli
Mirenowicz, J., & Schultz, W. (1996) · Nature · doi:10.1038/379449a0 · Cited by 829 · cited 2× · see citing works
“Seminal early studies into the information encoded by midbrain DA neurons suggested that a key function of DA is to transmit reward prediction error signals (Mirenowicz and Schultz, 1996; Schultz et al., 1997; Waelti et al., 2001), a hypothesis concordant with temporal difference learning models (Montague et al.”
ResultDynamic reorganization of striatal circuits during the acquisition and consolidation of a skill
Yin, H. H., Mulcare, S. P., Hilário, M. R. F., Clouse, E., Holloway, T., Davis, M. I., Hansson, A. C., Lovinger, D. M., & Costa, R. M. (2009) · Nature Neuroscience · doi:10.1038/nn.2261 · Cited by 818 · cited 1× · see citing works
“…functionally distinguished by previous studies (Castañé et al., 2010; Faure et al., 2005; Featherstone and McDonald, 2004; Yin and Knowlton, 2004; Yin et al., 2004, 2005a, 2009, 2005b), leading us to hypothesize that SNc projections to these areas might also participate in separable circuits.”
Reward and aversion in a heterogeneous midbrain dopamine system
Lammel, S., Lim, B. K., & Malenka, R. C. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.03.019 · Cited by 804 · cited 1× · see citing works
“However, not all midbrain DA neurons appear to encode similar information in their activity patterns (Bromberg-Martin et al., 2010; Lammel et al., 2014; Roeper, 2013).”
BackgroundPhasic excitation of dopamine neurons in ventral VTA by noxious stimuli
Brischoux, F., Chakraborty, S., Brierley, D. I., & Ungless, M. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811507106 · Cited by 801 · cited 2× · see citing works
“…leading to the hypothesis that the DA neurons, which increase their firing in response to these stimuli, may signal salience rather than value (Brischoux et al., 2009; Bromberg-Martin et al., 2010; Matsumoto and Hikosaka, 2009), though controversy on this point remains (Cohen et al., 2012;…”
BackgroundUniform Inhibition of Dopamine Neurons in the Ventral Tegmental Area by Aversive Stimuli
Ungless, M. A., Magill, P. J., & Bolam, J. P. (2004) · Science · doi:10.1126/science.1093360 · Cited by 782 · cited 2× · see citing works
“…which increase their firing in response to these stimuli, may signal salience rather than value (Brischoux et al., 2009; Bromberg-Martin et al., 2010; Matsumoto and Hikosaka, 2009), though controversy on this point remains (Cohen et al., 2012; Fiorillo et al., 2013, 2013; Ungless et al., 2004).”
BackgroundProjection-specific modulation of dopamine neuron synapses by aversive and rewarding stimuli
Lammel, S., Ion, D. I., Roeper, J., & Malenka, R. C. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.025 · Cited by 766 · cited 4× · see citing works
“…target-defined subpopulations are located in different subregions of the VTA, their excitatory synapses are differentially modulated by rewarding and aversive stimuli, and they receive distinct inputs, which can elicit opposite behaviors when selectively recruited (Lammel et al., 2008, 2011, 2012).”
BackgroundInfluentialSelf-citationCLARITY for mapping the nervous system
Chung, K., & Deisseroth, K. (2013) · Nature Methods · doi:10.1038/nmeth.2481 · Cited by 747 · cited 1× · see citing works
“Further development of high-throughput processing of these wholebrain datasets will be needed (Chung and Deisseroth, 2013; Kim et al., 2013, 2015) to fully capitalize on this opportunity for the rapid advancement of understanding structure-function relationships in the brain.”
BackgroundViral-genetic tracing of the input-output organization of a central noradrenaline circuit
Schwarz, L. A., Miyamichi, K., Gao, X. J., Beier, K. T., Weissbourd, B., DeLoach, K. E., Ren, J., Ibanes, S., Malenka, R. C., Kremer, E. J., et al. (2015) · Nature · doi:10.1038/nature14600 · Cited by 744 · cited 1× · see citing works
“…CLARITY-optimized light-sheet microscopy (COLM) (Chung et al., 2013; Tomer et al., 2014), along with a variation of rabies-based circuit mapping (Schwarz et al., 2015); the lattermethod (TRIO) operates similarly to previously published rabies-based circuit mapping technologies, utilizing a…”
MethodSelf-citationBasal Ganglia Disorders Associated with Imbalances in the Striatal Striosome and Matrix Compartments
Crittenden, J. R., & Graybiel, A. M. (2011) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2011.00059 · Cited by 470 · cited 13× · see citing works
“d Intact, inclusive approaches to classifying neuronal cell types d Differential brain-wide circuit incorporation of SNc dopamine neuron subpopulations d Opposite valence encoding of shock by projection target- defined SNc neurons d Independently controlled information streams from the SNc to the DMS and DLS Lerner et…”
BackgroundInfluentialYin, H. H., Knowlton, B. J., & Balleine, B. W. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04219.x · Cited by 447 · cited 1× · see citing works
“…functionally distinguished by previous studies (Castañé et al., 2010; Faure et al., 2005; Featherstone and McDonald, 2004; Yin and Knowlton, 2004; Yin et al., 2004, 2005a, 2009, 2005b), leading us to hypothesize that SNc projections to these areas might also participate in separable circuits.”
Lesion to the nigrostriatal dopamine system disrupts stimulus-response habit formation
Faure, A., Haberland, U., Condé, F., & Massioui, N. E. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.3894-04.2005 · Cited by 402 · cited 3× · see citing works
“These regions of the dorsal striatum have been functionally distinguished by previous studies (Castañé et al., 2010; Faure et al., 2005; Featherstone and McDonald, 2004; Yin and Knowlton, 2004; Yin et al., 2004, 2005a, 2009, 2005b), leading us to hypothesize that SNc projections to these areas might also participate i…”
BackgroundMethodNeuhoff, H., Neu, A. D., Liss, B., & Roeper, J. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-04-01290.2002 · Cited by 400 · cited 1× · see citing works
“Differences in Ih currents are strongly correlated with action potential rebound delays and can influence pacemaking activity (Neuhoff et al., 2002), particularly in the case of calbindin-negative SNc DA neurons (which constitute the majority of the SNc DA neuron population).”
BackgroundDissecting the diversity of midbrain dopamine neurons
Roeper, J. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2013.03.003 · Cited by 372 · cited 1× · see citing works
“However, not all midbrain DA neurons appear to encode similar information in their activity patterns (Bromberg-Martin et al., 2010; Lammel et al., 2014; Roeper, 2013).”
BackgroundDiversity of Transgenic Mouse Models for Selective Targeting of Midbrain Dopamine Neurons
Lammel, S., Steinberg, E. E., Földy, C., Wall, N. R., Beier, K. T., Luo, L., & Malenka, R. C. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.036 · Cited by 345 · cited 1× · see citing works
“Although the specificity of the TH-GFP line has been questioned (Lammel et al., 2015), we found that GFP expression is specific for TH+ neurons in the SNc (Figure S3).”
BackgroundMiyamichi, K., Shlomai, Y., Shu, M., Weissbourd, B., Luo, L., & Mizrahi, A. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.027 · Cited by 310 · cited 1× · see citing works
“We injected CAV-cre into either the DMS or DLS and then injected AAVs expressing cre-dependent rabies glycoprotein (G) and TC, a high efficiency version of the TVA receptor fused to mCherry (Miyamichi et al., 2013), into the SNc.”
MethodBocklisch, C., Pascoli, V., Wong, J. C. Y., House, D. R. C., Yvon, C., Roo, M. D., Tan, K. R., & Lüscher, C. (2013) · Science · doi:10.1126/science.1237059 · Cited by 304 · cited 1× · see citing works
“(legend continued on next page) 636 Cell 162, 635–647, July 30, 2015 ª2015 Elsevier Inc. to identify such connections (Chuhma et al., 2011; Xia et al., 2011) or found them to be very weak (Bocklisch et al., 2013).”
BackgroundMapping Social Behavior-Induced Brain Activation at Cellular Resolution in the Mouse
Kim, Y., Venkataraju, K. U., Pradhan, K., Mende, C., Taranda, J., Turaga, S. C., Arganda‐Carreras, I., Ng, L., Hawrylycz, M., Rockland, K. S., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.12.014 · Cited by 292 · cited 1× · see citing works
“Further development of high-throughput processing of these wholebrain datasets will be needed (Chung and Deisseroth, 2013; Kim et al., 2013, 2015) to fully capitalize on this opportunity for the rapid advancement of understanding structure-function relationships in the brain.”
BackgroundFunctional Connectome of the Striatal Medium Spiny Neuron
Chuhma, N., Tanaka, K. F., Hen, R., & Rayport, S. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3833-10.2011 · Cited by 273 · cited 3× · see citing works
“(legend continued on next page) 636 Cell 162, 635–647, July 30, 2015 ª2015 Elsevier Inc. to identify such connections (Chuhma et al., 2011; Xia et al., 2011) or found them to be very weak (Bocklisch et al., 2013).”
BackgroundResultSimilar roles of substantia nigra and ventral tegmental dopamine neurons in reward and aversion
Ilango, A., Kesner, A. J., Keller, K. L., Stuber, G. D., Bonci, A., & Ikemoto, S. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1703-13.2014 · Cited by 255 · cited 1× · see citing works
“In fact, SNc DA neurons could in principle even be similar to VTA DA neurons in terms of the valence of information represented because mice will self-stimulate for SNc DA neuron activity just as for VTA DA neuron activity (Ilango et al., 2014; Rossi et al., 2013).”
BackgroundSoudais, C., Laplace‐Builhé, C., Kissa, K., & Kremer, E. J. (2001) · The FASEB Journal · doi:10.1096/fj.01-0321fje · Cited by 250 · cited 1× · see citing works
“In TRIO, cre is delivered from the retrograde CAV-cre virus (Hnasko et al., 2006; Soudais et al., 2001), which transduces axon terminals and thereby defines ‘‘starter cells’’ (fromwhich rabies tracingwill occur) by virtue of their projection target.”
MethodContributions of Striatal Subregions to Place and Response Learning
Yin, H. H., & Knowlton, B. J. (2004) · Learning & Memory · doi:10.1101/lm.81004 · Cited by 238 · cited 2× · see citing works
“These regions of the dorsal striatum have been functionally distinguished by previous studies (Castañé et al., 2010; Faure et al., 2005; Featherstone and McDonald, 2004; Yin and Knowlton, 2004; Yin et al., 2004, 2005a, 2009, 2005b), leading us to hypothesize that SNc projections to these areas might also participate i…”
MethodMargolis, E. B., Mitchell, J., Ishikawa, J., Hjelmstad, G. O., & Fields, H. L. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1526-08.2008 · Cited by 232 · cited 2× · see citing works
“Indeed, combined with other recent lines of evidence (Lammel et al., 2008, 2011; Margolis et al., 2008), we have found that projection-defined subpopulations of DA neurons display different intrinsic properties.”
BackgroundNucleus Accumbens Medium Spiny Neurons Target Non-Dopaminergic Neurons in the Ventral Tegmental Area
Xia, Y., Driscoll, J. R., Wilbrecht, L., Margolis, E. B., Fields, H. L., & Hjelmstad, G. O. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1504-11.2011 · Cited by 218 · see citing works
K-ATP channels in dopamine substantia nigra neurons control bursting and novelty-induced exploration
Schiemann, J. M., Schlaudraff, F., Klose, V., Bingmer, M., Seino, S., Magill, P. J., Zaghloul, K. A., Schneider, G., Liss, B., & Roeper, J. (2012) · Nature Neuroscience · doi:10.1038/nn.3185 · Cited by 215 · cited 2× · see citing works
“Similarly, for mice in which DA neuron TH expression was restricted to neurons projecting to either the DLS or the ventromedial striatum (VMS), DLS-projecting neurons were located more laterally than VMS-projecting neurons (Darvas and Palmiter, 2009; 2010; see also Schiemann et al., 2012).”
BackgroundTwo Dimensions of Value: Dopamine Neurons Represent Reward But Not Aversiveness
Fiorillo, C. D. (2013) · Science · doi:10.1126/science.1238699 · Cited by 203 · see citing works
Selective lesions of the dorsomedial striatum impair serial spatial reversal learning in rats
Castañé, A., Theobald, D. E. H., & Robbins, T. W. (2010) · Behavioural Brain Research · doi:10.1016/j.bbr.2010.02.017 · Cited by 201 · see citing works
Hnasko, T. S., Perez, F. A., Scouras, A. D., Stoll, E. A., Gale, S. D., Luquet, S. H., Phillips, P. E. M., Kremer, E. J., & Palmiter, R. D. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0603081103 · Cited by 198 · cited 1× · see citing works
“In TRIO, cre is delivered from the retrograde CAV-cre virus (Hnasko et al., 2006; Soudais et al., 2001), which transduces axon terminals and thereby defines ‘‘starter cells’’ (fromwhich rabies tracingwill occur) by virtue of their projection target.”
MethodOperant self-stimulation of dopamine neurons in the substantia nigra
Rossi, M. A., Sukharnikova, T., Hayrapetyan, V. Y., Yang, L., & Yin, H. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065799 · Cited by 119 · cited 1× · see citing works
“In fact, SNc DA neurons could in principle even be similar to VTA DA neurons in terms of the valence of information represented because mice will self-stimulate for SNc DA neuron activity just as for VTA DA neuron activity (Ilango et al., 2014; Rossi et al., 2013).”
BackgroundFeatherstone, R. E., & McDonald, R. J. (2004) · Neuroscience · doi:10.1016/j.neuroscience.2003.10.038 · Cited by 103 · cited 1× · see citing works
“These regions of the dorsal striatum have been functionally distinguished by previous studies (Castañé et al., 2010; Faure et al., 2005; Featherstone and McDonald, 2004; Yin and Knowlton, 2004; Yin et al., 2004, 2005a, 2009, 2005b), leading us to hypothesize that SNc projections to these areas…”
MethodDiversity and Homogeneity in Responses of Midbrain Dopamine Neurons
Fiorillo, C. D., Yun, S. R., & Song, M. R. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3886-12.2013 · Cited by 99 · cited 1× · see citing works
“…which increase their firing in response to these stimuli, may signal salience rather than value (Brischoux et al., 2009; Bromberg-Martin et al., 2010; Matsumoto and Hikosaka, 2009), though controversy on this point remains (Cohen et al., 2012; Fiorillo et al., 2013, 2013; Ungless et al., 2004).”
BackgroundDarvas, M., & Palmiter, R. D. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0907299106 · Cited by 75 · cited 2× · see citing works
“Similarly, for mice in which DA neuron TH expression was restricted to neurons projecting to either the DLS or the ventromedial striatum (VMS), DLS-projecting neurons were located more laterally than VMS-projecting neurons (Darvas and Palmiter, 2009; 2010; see also Schiemann et al., 2012).”
BackgroundRestricting Dopaminergic Signaling to Either Dorsolateral or Medial Striatum Facilitates Cognition
Darvas, M., & Palmiter, R. D. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4576-09.2010 · Cited by 69 · cited 2× · see citing works
“Similarly, for mice in which DA neuron TH expression was restricted to neurons projecting to either the DLS or the ventromedial striatum (VMS), DLS-projecting neurons were located more laterally than VMS-projecting neurons (Darvas and Palmiter, 2009; 2010; see also Schiemann et al., 2012).”
BackgroundLight microscopy mapping of connections in the intact brain
Kim, S., Chung, K., & Deisseroth, K. A. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.10.005 · Cited by 69 · cited 1× · see citing works
“Further development of high-throughput processing of these wholebrain datasets will be needed (Chung and Deisseroth, 2013; Kim et al., 2013, 2015) to fully capitalize on this opportunity for the rapid advancement of understanding structure-function relationships in the brain.”
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Single-trial neural dynamics are dominated by richly varied movements
Musall, S., Kaufman, M. T., Juavinett, A., Gluf, S., & Churchland, A. K. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0502-4 · Cited by 1,057 · see citing works
Circuit architecture of VTA dopamine neurons revealed by systematic input-output mapping
Beier, K. T., Steinberg, E. E., DeLoach, K. E., Xie, S., Miyamichi, K., Schwarz, L., Gao, X. J., Kremer, E. J., Malenka, R. C., & Luo, L. (2015) · Cell · doi:10.1016/j.cell.2015.07.015 · Cited by 1,068 · see citing works
“A similar input-output architecture also applies to SNc-DA circuitry (Lerner et al., 2015 [in this issue of Cell]).”
Ultrafast neuronal imaging of dopamine dynamics with designed genetically encoded sensors
Patriarchi, T., Cho, J. R., Merten, K., Howe, M. W., Marley, A., Xiong, W.-H., Folk, R. W., Broussard, G. J., Liang, R., Jang, M. J., et al. (2018) · Science · doi:10.1126/science.aat4422 · Cited by 1,045 · see citing works
“In vivo imaging with fiber photometry Fiber photometry was performed as in (28, 63, 64).”
BackgroundMethodDopamine reward prediction-error signalling: A two-component response
Schultz, W. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.26 · Cited by 1,036 · see citing works
Mapping of Brain Activity by Automated Volume Analysis of Immediate Early Genes
Renier, N., Adams, E. L., Kirst, C., Wu, Z., Azevedo, R., Kohl, J., Autry, A. E., Kadiri, L., Umadevi Venkataraju, K., Zhou, Y., et al. (2016) · Cell · doi:10.1016/j.cell.2016.05.007 · Cited by 918 · see citing works
“Those techniques are now starting to enable the streamlined analysis of axonal projections or cell positions in intact mouse brains in a manual or semi-automated way (Lerner et al., 2015; Menegas et al., 2015; Schwarz et al., 2015).”
Berke, J. D. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0152-y · Cited by 904 · see citing works
Schizophrenia, dopamine and the striatum: From biology to symptoms
McCutcheon, R. A., Abi-Dargham, A., & Howes, O. D. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2018.12.004 · Cited by 763 · see citing works
“Regions of the caudate receive inputs from nearly the entire cortex [11,17]; and, additionally, via various connections with the midbrain [13], the associative striatum acts as a moderator of communication between limbic and motor regions.”
BackgroundMethodInfluentialDissociable dopamine dynamics for learning and motivation
Mohebi, A., Pettibone, J. R., Hamid, A., Wong, J.-M. T., Vinson, L. T., Patriarchi, T., Tian, L., Kennedy, R. T., & Berke, J. D. (2019) · Nature · doi:10.1038/s41586-019-1235-y · Cited by 714 · see citing works
Integration 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
Gating of social reward by oxytocin in the ventral tegmental area
Hung, L. W., Neuner, S., Polepalli, J. S., Beier, K. T., Wright, M., Walsh, J. J., Lewis, E. M., Luo, L., Deisseroth, K., Dölen, G., et al. (2017) · Science · doi:10.1126/science.aan4994 · Cited by 578 · see citing works
VTA dopaminergic neurons regulate ethologically relevant sleep-wake behaviors
Eban-Rothschild, A., Rothschild, G., Giardino, W. J., Jones, J. R., & de Lecea, L. (2016) · Nature Neuroscience · doi:10.1038/nn.4377 · Cited by 583 · see citing works
Rapid signalling in distinct dopaminergic axons during locomotion and reward
Howe, M. W., & Dombeck, D. A. (2016) · Nature · doi:10.1038/nature18942 · Cited by 597 · see citing works
Dopamine and glutamate in schizophrenia: biology, symptoms and treatment
McCutcheon, R. A., Krystal, J. H., & Howes, O. D. (2020) · World Psychiatry · doi:10.1002/wps.20693 · Cited by 612 · see citing works
Striatal 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
Dopamine and Cognitive Control in Prefrontal Cortex
Ott, T., & Nieder, A. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.12.006 · Cited by 530 · see citing works
A Neural Circuit Mechanism for Encoding Aversive Stimuli in the Mesolimbic Dopamine System
de Jong, J. W., Afjei, S. A., Dorocic, I. P., Peck, J. R., Liu, C. J., Kim, C. K., Tian, L., Deisseroth, K. A., & Lammel, S. (2018) · Neuron · doi:10.1016/j.neuron.2018.11.005 · Cited by 506 · see citing works
Anatomically defined and functionally distinct dorsal raphe serotonin sub-systems
Ren, J., Friedmann, D., Xiong, J., Liu, C. D., Ferguson, B. R., Weerakkody, T., DeLoach, K. E., Ran, C., Pun, A., Sun, Y., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.043 · Cited by 498 · see citing works
“, 2015) and resembles more closely those of the midbrain dopamine systems (Beier et al., 2015; Lerner et al., 2015), with biased input and segregated output.”
Self-citationNeural Circuitry of Reward Prediction Error
Watabe-Uchida, M., Eshel, N., & Uchida, N. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031109 · Cited by 437 · see citing works
“Instead, they increase their firing to both rewarding and aversive events (Fiorillo et al. 2013, Horvitz 2000, Joshua et al. 2008, Lerner et al. 2015, Matsumoto & Hikosaka 2009b).”
Genetic Dissection of Neural Circuits: A Decade of Progress
Luo, L., Callaway, E. M., & Svoboda, K. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.040 · Cited by 446 · see citing works
Simultaneous fast measurement of circuit dynamics at multiple sites across the mammalian brain
Kim, C. K., Yang, S., Pichamoorthy, N., Young, N. P., Kauvar, I., Jennings, J. H., Lerner, T. N., Berndt, A., Lee, S. Y., Ramakrishnan, C., et al. (2016) · Nature Methods · doi:10.1038/nmeth.3770 · Cited by 429 · see citing works
Coordinated and compartmentalized neuromodulation shapes sensory processing in Drosophila
Cohn, R., Morantte, I., & Ruta, V. (2015) · Cell · doi:10.1016/j.cell.2015.11.019 · Cited by 430 · see citing works
“…their anatomic and functional heterogeneity and the intricate wiring of their target neuropils (Beier et al., 2015; Fiorillo et al., 2013; Lammel et al., 2014; Lerner et al., 2015) have made it difficult to resolve how they can selectively alter synaptic signaling between different neural pathways.”
Thirst-associated preoptic neurons encode an aversive motivational drive.
Allen, W. E., DeNardo, L. A., Chen, M. Z., Liu, C. D., Loh, K. M., Fenno, L. E., Ramakrishnan, C., Deisseroth, K., & Luo, L. (2017) · Science · doi:10.1126/science.aan6747 · Cited by 390 · see citing works
“Fiber photometry Fiber photometry was performed using modulated 405 nm and 490 nm LEDs (54).”
MethodPoulin, J.-F., Caronia, G., Hofer, C., Cui, Q., Helm, B., Ramakrishnan, C., Chan, C. S., Dombeck, D. A., Deisseroth, K., & Awatramani, R. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0203-4 · Cited by 423 · see citing works
Architectures of neuronal circuits
Luo, L. (2021) · Science · doi:10.1126/science.abg7285 · Cited by 390 · see citing works
Systemic AAV vectors for widespread and targeted gene delivery in rodents
Challis, R. C., Kumar, S. R., Chan, K. Y., Challis, C., Beadle, K., Jang, M. J., Kim, H. M., Rajendran, P. S., Tompkins, J. D., Shivkumar, K., et al. (2019) · Nature Protocols · doi:10.1038/s41596-018-0097-3 · Cited by 415 · see citing works
Yang, H., de Jong, J. W., Tak, Y., Peck, J., Bateup, H. S., & Lammel, S. (2018) · Neuron · doi:10.1016/j.neuron.2017.12.022 · Cited by 407 · see citing works
“Such parallel channels for information flow are reminiscent of the parallel nigrostriatal DA subcircuits recently described for different subregions of the substantia nigra (Lerner et al., 2015).”
Definition of the hypothalamic GnRH pulse generator in mice
Clarkson, J., Han, S. Y., Piet, R., McLennan, T., Kane, G. M., Ng, J., Porteous, R. W., Kim, J. S., Colledge, W. H., Iremonger, K. J., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1713897114 · Cited by 392 · see citing works
“We used fiber photometry (20) to examine whether ARN neurons exhibited intermittent synchronous activity in awake freely behaving mice.”
MethodDopamine neurons projecting to the posterior striatum reinforce avoidance of threatening stimuli
Menegas, W., Akiti, K., Amo, R., Uchida, N., & Watabe‐Uchida, M. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0222-1 · Cited by 384 · see citing works
Dopamine neurons create Pavlovian conditioned stimuli with circuit-defined motivational properties
Saunders, B. T., Richard, J. M., Margolis, E. B., & Janak, P. H. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0191-4 · Cited by 365 · see citing works
Global Representations of Goal-Directed Behavior in Distinct Cell Types of Mouse Neocortex
Allen, W. E., Kauvar, I., Chen, M. Z., Richman, E. B., Yang, S., Chan, K. Y., Gradinaru, V., Deverman, B. E., Luo, L., & Deisseroth, K. A. (2017) · Neuron · doi:10.1016/j.neuron.2017.04.017 · Cited by 369 · see citing works
“Previous work has shown that when excited with 410 nm light as opposed to 488 nm light, the fluorescence emission of GCaMP is essentially calcium-independent (Lerner et al., 2015; Zalocusky et al., 2016).”
Dopamine-Evoked Synaptic Regulation in the Nucleus Accumbens Requires Astrocyte Activity
Corkrum, M., Covelo, A., Lines, J., Bellocchio, L., Pisansky, M., Loke, K., Quintana, R., Rothwell, P. E., Lujan, R., Marsicano, G., et al. (2020) · Neuron · doi:10.1016/j.neuron.2019.12.026 · Cited by 327 · see citing works
“We monitored astrocyte Ca2+ levels in the NAc using a fiber-photometry system in freely behaving mice (Lerner et al., 2015; Saunders et al., 2018) and specifically stimulated dopaminergic afferents to the NAc using optogenetics (Figures 1A and 1B).”
MethodThe Basal Ganglia Over 500 Million Years
Grillner, S. E., & Robertson, B. (2016) · Current Biology · doi:10.1016/j.cub.2016.06.041 · Cited by 350 · see citing works
Reward and choice encoding in terminals of midbrain dopamine neurons depends on striatal target
Parker, N. F., Cameron, C. M., Taliaferro, J. P., Lee, J., Choi, J. Y., Davidson, T. J., Daw, N. D., & Witten, I. B. (2016) · Nature Neuroscience · doi:10.1038/nn.4287 · Cited by 340 · see citing works
Selimbeyoglu, A., Kim, C. K., Inoue, M., Lee, S. Y., Hong, A. S. O., Kauvar, I., Ramakrishnan, C., Fenno, L. E., Davidson, T. J., Wright, M., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aah6733 · Cited by 326 · see citing works
“Light collection, filtering, and demodulation were as previously described (45, 46).”
MethodSelf-citationWiring and Molecular Features of Prefrontal Ensembles Representing Distinct Experiences
Li, Y., Allen, W. E., Thompson, K. R., Tian, Q., Hsueh, B., Ramakrishnan, C., Wang, A.-C., Jennings, J. H., Adhikari, A., Halpern, C. H., et al. (2016) · Cell · doi:10.1016/j.cell.2016.05.010 · Cited by 326 · see citing works
“The COLM system (described earlier in Tomer et al., 2014; Lerner et al., 2015) is optimized for high-resolution imaging and is most useful for studies requiring sub-cellular information, while the approach outlined here is optimized for speed and practicality in cellular resolution work, most…”
Dopamine neurons projecting to the posterior striatum form an anatomically distinct subclass
Menegas, W., Bergan, J. F., Ogawa, S. K., Isogai, Y., Venkataraju, K. U., Osten, P., Uchida, N., & Watabe‐Uchida, M. (2015) · eLife · doi:10.7554/elife.10032 · Cited by 324 · see citing works
“However, there is some disagreement about the extent of collateralization of dopamine axons (Yetnikoff et al., 2014); some dopamine neurons may project to multiple brain areas (Fallon and Loughlin, 1982; Loughlin and Fallon, 1984; Takada and Hattori, 1986).”
BackgroundDopamine neurons share common response function for reward prediction error
Eshel, N., Tian, J., Bukwich, M., & Uchida, N. (2016) · Nature Neuroscience · doi:10.1038/nn.4239 · Cited by 306 · see citing works
The gut–brain axis mediates sugar preference
Tan, H.-E., Sisti, A. C., Jin, H., Vignovich, M., Villavicencio, M., Tsang, K. S., Goffer, Y., & Zuker, C. S. (2020) · Nature · doi:10.1038/s41586-020-2199-7 · Cited by 317 · see citing works
A Unified Framework for Dopamine Signals across Timescales
Kim, H. R., Malik, A. N., Mikhael, J. G., Bech, P., Tsutsui‐Kimura, I., Sun, F., Zhang, Y., Li, Y., Watabe‐Uchida, M., Gershman, S. J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.11.013 · Cited by 297 · see citing works
Susaki, E. A., & Ueda, H. R. (2016) · Cell chemical biology · doi:10.1016/j.chembiol.2015.11.009 · Cited by 297 · see citing works
Dorsal Raphe Dopamine Neurons Modulate Arousal and Promote Wakefulness by Salient Stimuli
Cho, J. R., Treweek, J. B., Robinson, J. E., Xiao, C., Bremner, L. R., Greenbaum, A., & Gradinaru, V. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.020 · Cited by 276 · see citing works
“Our photometry setup utilized a 490 nm beam to activate Ca-dependent GCaMP6 fluorescence, as well as a 405 nm beam to image an isosbestic reference signal, which compensates for photo-bleaching and movement-related artifacts (Lerner et al., 2015).”
Striatal Circuits as a Common Node for Autism Pathophysiology
Fuccillo, M. V. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00027 · Cited by 269 · see citing works
“These striatal circuits further serve to regulate the output of the midbrain dopamine system, which extends a widespread neuromodulatory influence throughout the brain (Kupchik et al., 2015; Lerner et al., 2015).”
BackgroundThe Serotonergic Raphe Promote Sleep in Zebrafish and Mice
Oikonomou, G., Altermatt, M., Zhang, R., Coughlin, G. M., Montz, C. J., Gradinaru, V., & Prober, D. A. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.038 · Cited by 295 · see citing works
“Fiber photometry data processing and analysis (mouse): Pre-processing of fiber photometry data was performed as previously described (Cho et al., 2017; Lerner et al., 2015).”
MethodBiased Oxytocinergic Modulation of Midbrain Dopamine Systems
Xiao, L., Priest, M. F., Nasenbeny, J., Lu, T., & Kozorovitskiy, Y. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.003 · Cited by 292 · see citing works
“Genetically guided tracing experiments have facilitated the identification of input and output wiring of DA neurons in the VTA and SNc (Beier et al., 2015; Lerner et al., 2015; Watabe-Uchida et al., 2012).”
A circuit from hippocampal CA2 to lateral septum disinhibits social aggression
Leroy, F., Park, J. M., Asok, A., Brann, D. H., Meira, T., Boyle, L. M., Buss, E. W., Kandel, E. R., & Siegelbaum, S. A. (2018) · Nature · doi:10.1038/s41586-018-0772-0 · Cited by 277 · see citing works
Hu, H. (2016) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070815-014106 · Cited by 253 · see citing works
“Prominent pathways that are implicated but unverified in reward and aversion are also delineated ( gray) (Beier et al. 2015; Britt et al. 2012; Humphries & Prescott 2010; Kirouac et al. 2004; Lammel et al. 2012; Lerner et al. 2015; Liu et al. 2014; Luo et al. 2015; McDevitt et al. 2014; Namburi et al. 2015a,b; Nieh et…”
BackgroundMenegas, W., Babayan, B. M., Uchida, N., & Watabe‐Uchida, M. (2017) · eLife · doi:10.7554/elife.21886 · Cited by 265 · see citing works
“signals were subtracted with and then divided by the average signal in a 1 s period before CS in each trial) in this study, additional methods using activityindependent wavelength of excitation (Kudo et al., 1992; Lerner et al., 2015) or examination of emission spectrum (Cui et al.”
BackgroundMethodPolinski, N. K., Volpicelli-Daley, L. A., Sortwell, C. E., Luk, K. C., Cremades, N., Gottler, L. M., Froula, J., Duffy, M. F., Lee, V. M. Y., Martinez, T. N., et al. (2018) · Journal of Parkinson’s Disease · doi:10.3233/jpd-171248 · Cited by 288 · see citing works
“A–B) Comparison of pS129 aSyn expression in the ipsilateral midbrain after two site striatal injections using (A) original, traditionally-used coordinates [34] or (B) optimized coordinates guided by recent findings revealing distinct SNpc-striatal innervation patterns [54].”
MethodOrganization of long-range inputs and outputs of frontal cortex for top-down control
Zhang, S., Xu, M., Chang, W.-C., Ma, C., Hoang Do, J. P., Jeong, D., Lei, T., Fan, J. L., & Dan, Y. (2016) · Nature Neuroscience · doi:10.1038/nn.4417 · Cited by 242 · see citing works
The Input-Output Relationship of the Cholinergic Basal Forebrain
Gielow, M. R., & Záborszky, L. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.01.060 · Cited by 230 · see citing works
“…tracing of neuromodulatory systems has been used in the noradrenergic, dopaminergic and serotonergic systems (Beier et al., 2015; Faget et al., 2016; Lerner et al., 2015; Ogawa et al., 2014; Pollak Dorocic et al., 2014; Schwarz et al., 2015; Watabe-Uchida et al., 2012; Weissbourd et al., 2014).”
MethodThree-dimensional virtual refocusing of fluorescence microscopy images using deep learning
Wu, Y., Rivenson, Y., Wang, H., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0622-5 · Cited by 242 · see citing works
Activity patterns of serotonin neurons underlying cognitive flexibility
Matias, S., Lottem, E., Dugué, G. P., & Mainen, Z. F. (2017) · eLife · doi:10.7554/elife.20552 · Cited by 239 · see citing works
“…our fibers to areas where this specificity problem is reduced (Lammel et al., 2015) and that are known to contain the classical DA neurons that show RPE activity and are involved in reward processing (Lammel et al., 2011, 2012; Matsumoto and Hikosaka, 2009; Lerner et al., 2015; Kim et al., 2016).”
BackgroundMethodSPED Light Sheet Microscopy: Fast Mapping of Biological System Structure and Function
Tomer, R., Lovett-Barron, M., Kauvar, I., Andalman, A. S., Burns, V. M., Sankaran, S., Grosenick, L., Broxton, M. J., Yang, S., & Deisseroth, K. A. (2015) · Cell · doi:10.1016/j.cell.2015.11.061 · Cited by 240 · see citing works
“…Keller et al., 2015), developmental biology (Huisken et al., 2004; Keller et al., 2008; Preibisch et al., 2010; Reynaud et al., 2015; Wu et al., 2013), cell biology (Gao et al., 2012; Planchon et al., 2011) and high-resolution whole brain neuroanatomy (Lerner et al., 2015; Tomer et al., 2014).”
Classification of midbrain dopamine neurons using single-cell gene expression profiling approaches
Poulin, J.-F., Gaertner, Z., Moreno-Ramos, O. A., & Awatramani, R. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.01.004 · Cited by 238 · see citing works
“Projection specific approaches typically involve injection of viruses that show retrograde capabilities, into a target region of choice, allowing the efficient segregation of DA neuron subtypes based on their projections; indeed, these approaches have been used to segregate functionally distinct subpopulations within…”
MethodNucleus accumbens D2R cells signal prior outcomes and control risky decision-making
Zalocusky, K. A., Ramakrishnan, C., Lerner, T. N., Davidson, T. J., Knutson, B. D., & Deisseroth, K. A. (2016) · Nature · doi:10.1038/nature17400 · Cited by 233 · see citing works
Distinct Dopamine Receptor Pathways Underlie the Temporal Sensitivity of Associative Learning
Handler, A., Graham, T. G. W., Cohn, R., Morantte, I. G., Siliciano, A. F., Zeng, J., Li, Y., & Ruta, V. (2019) · Cell · doi:10.1016/j.cell.2019.05.040 · Cited by 227 · see citing works
“Neural circuits involved in associative learning integrate sensory signals with rewarding or punishing reinforcement cues, frequently encoded by neuromodulatory dopaminergic neurons (DANs; Aso et al., 2014a; Bromberg-Martin et al., 2010; Lerner et al., 2015; Schultz et al., 1997; Waddell, 2016).”
BackgroundTask-Dependent Changes in the Large-Scale Dynamics and Necessity of Cortical Regions
Pinto, L., Rajan, K., DePasquale, B., Thiberge, S. Y., Tank, D. W., & Brody, C. D. (2019) · Neuron · doi:10.1016/j.neuron.2019.08.025 · Cited by 235 · see citing works
“, 2009), and can thus be used to estimate Ca2+-independent changes in measured fluorescence (Lerner et al., 2015), which presumably largely come from hemodynamic contamination (Ma et al.”
BackgroundMesolimbic dopamine release conveys causal associations
Jeong, H., Taylor, A., Floeder, J. R., Lohmann, M., Mihalaş, Ş., Wu, B., Zhou, M., Burke, D. A., & Namboodiri, V. M. K. (2022) · Science · doi:10.1126/science.abq6740 · Cited by 226 · see citing works
Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment
Hamid, A., Frank, M. J., & Moore, C. I. (2021) · Cell · doi:10.1016/j.cell.2021.03.046 · Cited by 213 · see citing works
“One hypothesis motivated by the excitationrelease coupling principle in neurobiology would suggest that DA waves may be inherited from the sequential firing of topographically projectingmidbrain DA cells (Lerner et al., 2015).”
Distributed and Mixed Information in Monosynaptic Inputs to Dopamine Neurons
Tian, J., Huang, R., Cohen, J. Y., Osakada, F., Kobak, D., Machens, C. K., Callaway, E. M., Uchida, N., & Watabe-Uchida, M. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.018 · Cited by 224 · see citing works
“This is not likely to be due to the potential diversity of dopamine neurons because subpopulations of dopamine neurons projecting to specific targets nonetheless receive inputs from many brain areas (Beier et al., 2015; Lerner et al., 2015; Menegas et al., 2015).”
A Neural Circuit for the Suppression of Pain by a Competing Need State
Alhadeff, A. L., Su, Z., Hernandez, E., Klima, M. L., Phillips, S. Z., Holland, R. A., Guo, C., Hantman, A. W., De Jonghe, B. C., & Betley, J. N. (2018) · Cell · doi:10.1016/j.cell.2018.02.057 · Cited by 218 · see citing works
“Changes in calcium-dependent GcaMP6s fluorescence (490 nm) signal were compared with calcium-independent GCaMP6s fluorescence (405 nm), providing internal control for movement and bleaching artifacts (Lerner et al., 2015; Su et al., 2017).”
Daviu, N., Füzesi, T., Rosenegger, D. G., Rasiah, N. P., Sterley, T.-L., Peringod, G., & Bains, J. S. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0591-0 · Cited by 217 · see citing works
Nutritive, Post-ingestive Signals Are the Primary Regulators of AgRP Neuron Activity
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“We measured calcium-dependent fluorescence (excited at 490 nm) as a measure of AgRP neuron activity (Cui et al., 2013; Gunaydin et al., 2014) and calcium-independent fluorescence (excited at 405 nm) as a control for movement and bleaching artifacts (Figure 1B) (Lerner et al., 2015).”
Spontaneous behaviour is structured by reinforcement without explicit reward
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BackgroundStochastic synaptic plasticity underlying compulsion in a model of addiction
Pascoli, V., Hiver, A., Van Zessen, R., Loureiro, M., Achargui, R., Harada, M., Flakowski, J., & Lüscher, C. (2018) · Nature · doi:10.1038/s41586-018-0789-4 · Cited by 185 · see citing works
Cholinergic Mesopontine Signals Govern Locomotion and Reward through Dissociable Midbrain Pathways
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“…roles of SNc and VTA neurons in exploratory activity, habituation, reinforcement, aversion (Bromberg-Martin et al., 2010; Friedman et al., 2014; Lerner et al., 2015; Roeper, 2013; Walsh et al., 2014), and the involvement of multiple nuclei in locomotion and reward (Benarroch, 2013;…”
InfluentialDodson, P. D., Dreyer, J. K., Jennings, K. A., Syed, E. C. J., Wade‐Martins, R., Cragg, S. J., Bolam, J. P., & Magill, P. J. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1515941113 · Cited by 190 · see citing works
“Around 50% of synapses made with SNc neurons are GABAergic (41), and these originate from numerous sources including the substantia nigra pars reticulata (SNr), the globus pallidus, the superior colliculus, the rostromedial tegmental nucleus, and SPNs located in striosomes (33, 42).”
BackgroundRegeneration of Spinal Cord Connectivity Through Stem Cell Transplantation and Biomaterial Scaffolds
Katoh, H., Yokota, K., & Fehlings, M. G. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00248 · Cited by 199 · see citing works
A survey on applications of deep learning in microscopy image analysis
Liu, Z., Jin, L., Chen, J., Fang, Q., Ablameyko, S., Yin, Z., & Xu, Y. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104523 · Cited by 197 · see citing works
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Viral Strategies for Targeting the Central and Peripheral Nervous Systems
Bedbrook, C. N., Deverman, B. E., & Gradinaru, V. (2018) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080317-062048 · Cited by 168 · see citing works
Distinct hypothalamic control of same- and opposite-sex mounting behaviour in mice
Karigo, T., Kennedy, A., Yang, B., Liu, M., Tai, D., Wahle, I. A., & Anderson, D. J. (2020) · Nature · doi:10.1038/s41586-020-2995-0 · Cited by 185 · see citing works
Hypothalamic detection of macronutrients via multiple gut-brain pathways
Goldstein, N., McKnight, A. D., Carty, J. R. E., Arnold, M., Betley, J. N., & Alhadeff, A. L. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2020.12.018 · Cited by 176 · see citing works
“Dual-wavelength Fiber Photometry (FP): Dual-wavelength FP was performed as we and others have previously described (Lerner et al., 2015; Su et al., 2017; Zalocusky et al., 2016).”
MethodFear balance is maintained by bodily feedback to the insular cortex in mice
Klein, A. S., Dolensek, N., Weiand, C., & Gogolla, N. (2021) · Science · doi:10.1126/science.abj8817 · Cited by 176 · see citing works
Genetic-Based Dissection Unveils the Inputs and Outputs of Striatal Patch and Matrix Compartments
Smith, J. B., Klug, J. R., Ross, D. L., Howard, C. D., Hollon, N. G., Ko, V. I., Hoffman, H., Callaway, E. M., Gerfen, C. R., & Jin, X. (2016) · Neuron · doi:10.1016/j.neuron.2016.07.046 · Cited by 176 · see citing works
Rajasethupathy, P., Ferenczi, E., & Deisseroth, K. A. (2016) · Cell · doi:10.1016/j.cell.2016.03.047 · Cited by 179 · see citing works
Crittenden, J. R., Tillberg, P. W., Riad, M. H., Shima, Y., Gerfen, C. R., Curry, J., Housman, D. E., Nelson, S. B., Boyden, E. S., & Graybiel, A. M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1613337113 · Cited by 171 · see citing works
Salinas-Hernández, X. I., Vogel, P., Betz, S., Kalisch, R., Sigurdsson, T., & Duvarci, S. (2018) · eLife · doi:10.7554/elife.38818 · Cited by 181 · see citing works
Afferent Inputs to Neurotransmitter-Defined Cell Types in the Ventral Tegmental Area
Faget, L. C., Osakada, F., Duan, J., Ressler, R. L., Johnson, A. B., Proudfoot, J., Yoo, J. H., Callaway, E. M., & Hnasko, T. S. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.05.057 · Cited by 180 · see citing works
“Previous work has used Rb-based approaches to assess celltype-specific afferent inputs to midbrain dopamine neurons (Beier et al., 2015; Lerner et al., 2015; Menegas et al., 2015; Watabe-Uchida et al., 2012).”
BackgroundMethodMotivational 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
Dopamine neurons projecting to medial shell of the nucleus accumbens drive heroin reinforcement
Corre, J., van Zessen, R., Loureiro, M., Patriarchi, T., Tian, L., Pascoli, V., & Lüscher, C. (2018) · eLife · doi:10.7554/elife.39945 · Cited by 168 · see citing works
Hierarchical neural architecture underlying thirst regulation
Augustine, V., Gökçe, S. K., Lee, S., Wang, B., Davidson, T. J., Reimann, F. M., Gribble, F. M., Deisseroth, K. A., Lois, C., & Oka, Y. (2018) · Nature · doi:10.1038/nature25488 · Cited by 169 · see citing works
Dopamine, Updated: Reward Prediction Error and Beyond
Lerner, T. N., Holloway, A. L., & Seiler, J. L. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.10.012 · Cited by 178 · see citing works
A Student’s Guide to Neural Circuit Tracing
Saleeba, C., Dempsey, B., Le, S., Goodchild, A., & McMullan, S. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00897 · Cited by 153 · see citing works
Morel, C., Montgomery, S. E., Li, L., Cuttoli, R. D.-D., Teichman, E. M., Juarez, B., Tzavaras, N., Ku, S. M., Flanigan, M. E., Cai, M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29155-1 · Cited by 168 · see citing works
Unique functional responses differentially map onto genetic subtypes of dopamine neurons
Azcorra, M., Gaertner, Z. A., Davidson, C., He, Q., Kim, H., Nagappan, S., Hayes, C. K., Ramakrishnan, C., Fenno, L. E., Kim, Y. S., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01401-9 · Cited by 170 · see citing works
Communication in Neural Circuits: Tools, Opportunities, and Challenges
Lerner, T. N., Ye, L., & Deisseroth, K. (2016) · Cell · doi:10.1016/j.cell.2016.02.027 · Cited by 159 · see citing works
“It is only when dopamine neurons are viewed from this structural-output-defined perspective that observations of opposite-valence responses to stimuli by different subsets of dopamine neurons become interpretable (Kim et al., 2014a; Lerner et al., 2015; Matsumoto and Hikosaka, 2009).”
InfluentialGut–brain circuits for fat preference
Li, M.-T., Tan, H.-E., Lu, Z., Tsang, K. S., Chung, A. J., & Zuker, C. S. (2022) · Nature · doi:10.1038/s41586-022-05266-z · Cited by 170 · 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
“Consistent with this heterogeneity, dorsal raphe 5-HT neuron manipulations and recordings suggest complex roles in a range of behaviors related to cognition and motivation (Liu et al. 2014; Cohen et al. 2015; Brodsky et al. 2016; Li et al. 2016; You et al. 2016; Ren et al. 2018).”
BackgroundSchultz, W., Stauffer, W. R., & Lak, A. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.03.013 · Cited by 164 · see citing works
Dopamine neurons encoding long-term memory of object value for habitual behavior
Kim, H. F., Ghazizadeh, A., & Hikosaka, O. (2015) · Cell · doi:10.1016/j.cell.2015.10.063 · Cited by 157 · see citing works
“Recent studies suggest that DA neurons are heterogeneous in terms of their functions (Brischoux et al., 2009; Lerner et al., 2015; Matsumoto and Hikosaka, 2009).”
Learning from Action: Reconsidering Movement Signaling in Midbrain Dopamine Neuron Activity
Coddington, L. T., & Dudman, J. T. (2019) · Neuron · doi:10.1016/j.neuron.2019.08.036 · Cited by 150 · see citing works
SCN VIP Neurons Are Essential for Normal Light-Mediated Resetting of the Circadian System
Jones, J. R., Simon, T., Lones, L., et al. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1322-18.2018 · Cited by 149 · see citing works
“To control for motion artifacts, we excited GCaMP6s with its calcium-dependent excitation wavelength of 470 nm and at its calcium-independent isosbestic excitation wavelength of 405 nm (Lerner et al., 2015).”
MethodStimulus-specific hypothalamic encoding of a persistent defensive state
Kennedy, A., Kunwar, P. S., Li, L.-Y., Stagkourakis, S., Wagenaar, D. A., & Anderson, D. J. (2020) · Nature · doi:10.1038/s41586-020-2728-4 · Cited by 144 · see citing works
Duda, J., Pötschke, C., & Liss, B. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13572 · Cited by 149 · see citing works
GuPPy, a Python toolbox for the analysis of fiber photometry data
Sherathiya, V. N., Schaid, M. D., Seiler, J. L., Lopez, G. C., & Lerner, T. N. (2021) · Scientific Reports · doi:10.1038/s41598-021-03626-9 · Cited by 147 · see citing works
“GuPPy is programmed to use a control isosbestic wavelength recorded by users to remove smaller movement artifacts as well as bleaching artifacts when calculating the ΔF/F (as described in Lerner et al, 2015; Fig.”
MethodLi, C., Navarrete, J. S., Liang-Guallpa, J., Lü, C., Funderburk, S. C., Chang, R. B., Liberles, S. D., Olson, D. P., & Krashes, M. J. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.10.016 · Cited by 145 · see citing works
“Critically, a calcium-independent fluorescence in the UV spectra was used in all recordings to control for movement and bleaching artifacts (Figures S5B–S5D) (Lerner et al., 2015).”
Dopaminergic and Prefrontal Basis of Learning from Sensory Confidence and Reward Value
Lak, A., Okun, M., Moss, M. M., Gurnani, H., Farrell, K., Wells, M. J., Reddy, C. B., Kepecs, Á., Harris, K. D., & Carandini, M. (2019) · Neuron · doi:10.1016/j.neuron.2019.11.018 · Cited by 128 · see citing works
Reverse-translational identification of a cerebellar satiation network
Low, A. Y. T., Goldstein, N., Gaunt, J. R., Huang, K.-P., Zainolabidin, N., Yip, A. K. K., Carty, J. R. E., Choi, J. Y., Miller, A. M., Ho, H. S. T., et al. (2021) · Nature · doi:10.1038/s41586-021-04143-5 · Cited by 135 · see citing works
Alhadeff, A. L., Goldstein, N., Park, O., Klima, M. L., Vargas, A. P.-D., & Betley, J. N. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.050 · Cited by 129 · see citing works
“We engineered mice to express the calcium indicator GCaMP6s in AgRP or POMCneurons andmeasured calcium-dependent fluorescence as a proxy for neural activity and calcium-independent fluorescence as a control for bleaching and movement artifacts (Figures 1A and 1B) (Lerner et al., 2015; Su et al., 2017).”
- Authors
- Lerner, T. N., Shilyansky, C., Davidson, T. J., Evans, K. E., Beier, K. T., Zalocusky, K. A., Crow, A. K., Malenka, R. C., Luo, L., Tomer, R., & Deisseroth, K.
- Affiliations
- Stanford University (US)
- Stanford Medicine (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Deisseroth, Karl
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 162
- Issue
- 3
- Pages
- 635-647
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4790813
- OpenAlex
- W1875506666
- Cited by
- 794
- References
- 55
- Citations by year
- 2026: 52 · 2025: 90 · 2024: 87 · 2023: 77 · 2022: 85 · 2021: 77 · 2020: 70 · 2019: 71 · 2018: 70 · 2017: 51 · 2016: 51 · 2015: 13
- FWCI
- 28.63
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- H. L. Snyder Medical Foundation
- National Institutes of Health (5f31mh105151-02, 1f32mh105053-01)
- Defense Advanced Research Projects Agency
- National Institute of Mental Health (1F31MH105151-01, F32 MH105053, 1F32MH105053-01, P50MH086403, F31 MH105151)
- National Institute on Drug Abuse (F32DA038913, R37DA035377)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Keywords
- substantia nigra pars compacta, dopaminergic neurons, neuronal cell types, nigrostriatal pathway, dorsomedial striatum, dorsolateral striatum, striatal output, neuronal heterogeneity, clarity, optogenetics, viral tracing, fiber photometry
- MeSH terms
- Animals, Brain Mapping, Dopamine, Mice, Inbred C57BL, Neural Pathways, Neurons, Reward, Shock, Substantia Nigra, Mice
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