Abstract
The basal ganglia integrate cortical inputs with dopaminergic signals to potentiate and select actions. The reward-related activity of dopamine neurons is well-studied, but the coding properties of cortical inputs to the basal ganglia remain largely unknown. We examined the activity of neurons in the frontal eye field of monkeys that were optogenetically identified as projecting to the basal ganglia. We found that the projecting neurons contained information about expected rewards and selected actions. The reward-related signal and modulations independent of task condition were stronger in optogenetically identified projecting neurons than in other neurons in the same area. These findings indicate that reward, choice, and sensorimotor information are already integrated into the cortical inputs to the basal ganglia, suggesting that the basal ganglia network integrates reward from both cortical and dopaminergic inputs rather than relying on a dopaminergic source alone.
Data availability
The data supporting the findings of this study are available at Zenodo (DOI: 10.5281/zenodo.18467078). The repository contains the curated and processed datasets required to reproduce analyses and figures reported in the paper. The raw data underlying these datasets can be provided by the corresponding author upon request. Source data are provided with this paper.
Code availability
The code used for data analysis is available from the corresponding authors upon request.
References
Sutton, R. & Barto, A. Reinforcement Learning: an Introduction (MIT press, 2018).
Takahashi, Y., Schoenbaum, G. & Niv, Y. Silencing the critics: understanding the effects of cocaine sensitization on dorsolateral and ventral striatum in the context of an actor/critic model. Front. Neurosci. 2, 86–99 (2008).
Doya, K. Complementary roles of basal ganglia and cerebellum in learning and motor control. Curr. Opin. Neurobiol. 10, 732–739 (2000).
Schultz, W., Dayan, P. & Montague, P. R. A neural substrate of prediction and reward. Science 275, 1593–1599 (1997).
Joshua, M., Adler, A., Mitelman, R., Vaadia, E. & Bergman, H. Midbrain dopaminergic neurons and striatal cholinergic interneurons encode the difference between reward and aversive events at different epochs of probabilistic classical conditioning trials. J. Neurosci. 28, 11673–11684 (2008).
Matsumoto, M. & Hikosaka, O. Two types of dopamine neuron distinctly convey positive and negative motivational signals. Nature 459, 837–841 (2009).
Lammel, S., Ion, D. I., Roeper, J. & Malenka, R. C. Projection-specific modulation of dopamine neuron synapses by aversive and rewarding stimuli. Neuron 70, 855–862 (2011).
Kim, H. R. et al. A unified framework for dopamine signals across timescales. Cell 183, 1600–1616.e25 (2020).
Mohebi, A., Wei, W., Pelattini, L., Kim, K. & Berke, J. D. Dopamine transients follow a striatal gradient of reward time horizons. Nat. Neurosci. 27, 737–746 (2024). 2024 27:4.
Engelhard, B. et al. Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons. Nature 570, 509–513 (2019). 2019 570:7762.
Salinas, A. G. et al. Distinct sub-second dopamine signaling in dorsolateral striatum measured by a genetically-encoded fluorescent sensor. Nat. Commun. 14, 1–16 (2023). 2023 14:1.
Turner, R. S. & DeLong, M. R. Corticostriatal Activity in Primary Motor Cortex of the Macaque. J. Neurosci. 20, 7096–7108 (2000).
Musall, S. et al. Pyramidal cell types drive functionally distinct cortical activity patterns during decision-making. Nat. Neurosci. 26, 495–505 (2023).
Roesch, M. R. & Olson, C. R. Impact of expected reward on neuronal activity in prefrontal cortex, frontal and supplementary eye fields and premotor cortex. J. Neurophysiol. 90, 1766–1789 (2003).
Ding, L. & Hikosaka, O. Comparison of Reward Modulation in the Frontal Eye Field and Caudate of the Macaque. J. Neurosci. 26, 6695–6703 (2006).
Raghavan, R. T. & Joshua, M. Dissecting patterns of preparatory activity in the frontal eye fields during pursuit target selection. J. Neurophysiol. 118, 2216–2231 (2017).
Lixenberg, A. & Joshua, M. Encoding of reward and decoding movement from the frontal eye field during smooth pursuit eye movements. J. Neurosci. 38, 10515–10524 (2018).
Bruce, C. J. & Goldberg, M. E. Primate frontal eye fields. I. Single neurons discharging before saccades. J. Neurophysiol. 53, 603–635 (1985).
Schall, J. D. & Hanes, D. P. Neural basis of saccade target selection in frontal eye field during visual search. Nature 366, 467–469 (1993).
Parthasarathy, H. B., Schall, J. D. & Graybiel, A. M. Distributed but convergent ordering of corticostriatal projections: Analysis of the frontal eye field and the supplementary eye field in the macaque monkey. J. Neurosci. 12, 4468–4488 (1992).
Cui, D. M., Yan, Y. J. & Lynch, J. C. Pursuit subregion of the frontal eye field projects to the caudate nucleus in monkeys. J. Neurophysiol. 89, 2678–2684 (2003).
Kate, M. et al. Eye movements in monkeys with local dopamine depletion in the caudate nucleus. I. Deficits in spontaneous saccades. J. Neurosci. 15, 912–927 (1995).
Bruce, C. J., Goldberg, M. E., Bushnell, M. C. & Stanton, G. B. Primate frontal eye fields. II. Physiological and anatomical correlates of electrically evoked eye movements. J. Neurophysiol. 54, 714–734 (1985).
Schall, J. D. The neural selection and control of saccades by the frontal eye field. Philos. Trans. R. Soc. B: Biol. Sci. 357, 1073–1082 (2002).
Lemon, R. Methods for neuronal recording in conscious animals. IBRO Handb. Ser. 4, 56–60 (1984).
Tervo, D. G. R. et al. A Designer AAV Variant Permits Efficient Retrograde Access to Projection. Neurons Neuron 92, 372–382 (2016).
Cushnie, A. K. et al. Using rAAV2-retro in rhesus macaques: promise and caveats for circuit manipulation. J. Neurosci. Methods 345, 108859 (2020).
Cohen, J. Y., Haesler, S., Vong, L., Lowell, B. B. & Uchida, N. Neuron-type-specific signals for reward and punishment in the ventral tegmental area. Nature 482, 85–88 (2012). 2012 482:7383.
Lima, S. Q., Hromádka, T., Znamenskiy, P. & Zador, A. M. PINP: a new method of tagging neuronal populations for identification during in vivo electrophysiological recording. PLoS ONE 4, e6099 (2009).
Stauffer, W. R. et al. Dopamine neuron-specific optogenetic stimulation in rhesus macaques. Cell 166, 1564–1571 e6 (2016).
Larry, N., Zur, G. & Joshua, M. Organization of reward and movement signals in the basal ganglia and cerebellum. Nat. Commun. 15, 1–13 (2024). 2024 15:1.
Olejnik, S. & Algina, J. Measures of effect size for comparative studies: applications, interpretations, and limitations. Contemp. Educ. Psychol. 25, 241–286 (2000).
Siegel, M., Buschman, T. J. & Miller, E. K. Cortical information flow during flexible sensorimotor decisions. Science (1979) 348, 1352–1355 (2015).
Buzsáki, G. & Mizuseki, K. The log-dynamic brain: how skewed distributions affect network operations. Nat. Rev. Neurosci. 15, 264–278 (2014).
Kaufman, M. T. et al. The Largest response component in the motor cortex reflects movement timing but not movement type. eNeuro 3, ENEURO.0085 (2016).
Moore, T. & Armstrong, K. M. Selective gating of visual signals by microstimulation of frontal cortex. Nature 421, 370–373 (2003).
Thompson, K. G., Biscoe, K. L. & Sato, T. R. Neuronal basis of covert spatial attention in the frontal eye field. J. Neurosci. 25, 9479–9487 (2005).
Joshua, M., Tokiyama, S. & Lisberger, S. G. Interactions between target location and reward size modulate the rate of microsaccades in monkeys. J. Neurophysiol. https://doi.org/10.1152/jn.00401.2015 (2015).
Glaser, J. I. et al. Role of expected reward in frontal eye field during natural scene search. J. Neurophysiol. 116, 645–657 (2016).
Gurney, K., Prescott, T. J. & Redgrave, P. A computational model of action selection in the basal ganglia. I. A new functional anatomy. Biol. Cyber. 84, 401–410 (2001).
Tanaka, M. & Lisberger, S. G. Role of arcuate frontal cortex of monkeys in smooth pursuit eye movements. II. Relation to vector averaging pursuit. J. Neurophysiol. 87, 2700–2714 (2002).
Padoa-Schioppa, C. & Assad, J. A. Neurons in the orbitofrontal cortex encode economic value. Nature 441, 223–226 (2006). 2006 441:7090.
Tremblay, S. et al. An open resource for non-human primate optogenetics. Neuron 108, 1075–1090.e6 (2020).
Yu, X. et al. Retrograde optogenetics reveals sensorimotor convergence within a corticotectal pathway of non-human primates. Curr. Biol. 36, 236-242 (2026).
Sajad, A., Godlove, D. C. & Schall, J. D. Cortical microcircuitry of performance monitoring. Nat. Neurosci. 22, 265–274 (2019).
Levy, S. et al. Cell-type-specific outcome representation in the primary motor cortex. Neuron 107, 954–971.e9 (2020).
Hauser, C. K., Zhu, D., Stanford, T. R. & Salinas, E. Motor selection dynamics in FEF explain the reaction time variance of saccades to single targets. Elife 7, e33456 (2018).
Schall, J. D., Hanes, D. P., Thompson, K. G. & King, D. J. Saccade target selection in frontal eye field of macaque. I. Visual and premovement activation. J. Neurosci. 15, 6905–6918 (1995).
Maunsell, J. H. R. Neuronal representations of cognitive state: Reward or attention? Trends Cogn. Sci. 8, 261–265 (2004).
Mante, V., Sussillo, D., Shenoy, K. V. & Newsome, W. T. Context-dependent computation by recurrent dynamics in prefrontal cortex. Nature 503, 78–84 (2013).
Ding, L. & Gold, J. I. Neural correlates of perceptual decision making before, during, and after decision commitment in monkey frontal eye field. Cereb. Cortex 22, 1052–1067 (2012).
Balewski, Z. Z., Knudsen, E. B. & Wallis, J. D. Fast and slow contributions to decision-making in corticostriatal circuits. Neuron 110, 2170–2182.e4 (2022).
DeLong, M. R. Primate models of movement disorders of basal ganglia origin. Trends Neurosci. 13, 281–285 (1990).
Surmeier, D. J., Ding, J., Day, M., Wang, Z. & Shen, W. D1 and D2 dopamine-receptor modulation of striatal glutamatergic signaling in striatal medium spiny neurons. Trends Neurosci. 30, 228–235 (2007).
Rashbass, C. The relationship between saccadic and smooth tracking eye movements. J. Physiol. 159, 326–338 (1961).
Acknowledgements
This project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No. 755745).
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AHL. and MJ conceived and planned the experiments. AHL and YH collected the data. TK performed preliminary experiments in mice. AHL and MJ, analyzed the data. AHL, EL and MJ interpreted the data. AHL. and MJ wrote the manuscript. All authors read, commented on, and approved the final manuscript.
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Hovav-Lixenberg, A., Henshke, Y., Kreisel, T. et al. Enhanced reward coding and condition-independent dynamics in optogenetically identified corticostriatal neurons in monkeys. Nat Commun (2026). https://doi.org/10.1038/s41467-026-71046-2
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DOI: https://doi.org/10.1038/s41467-026-71046-2