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Motor cortex somatostatin interneurons adaptively shape the structure of action sequences
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  • Published: 18 March 2026

Motor cortex somatostatin interneurons adaptively shape the structure of action sequences

  • Jeong Oen Lee1,
  • Sebastiano Bariselli1 nAff2 nAff3,
  • Giacomo Sitzia1 nAff4,
  • Abigail Holder  ORCID: orcid.org/0009-0001-9779-53421 &
  • …
  • David M. Lovinger  ORCID: orcid.org/0000-0002-5454-67251 

Nature Communications , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Motor control
  • Neural circuits

Abstract

The brain flexibly reorganizes action sequences to optimize behavioral outcomes through reinforcement learning and adaptive motor control. Although the primary motor cortex (M1) is essential for skill learning and dexterous movement, how cortical microcircuits refine the timing and structure of action sequences remains unclear. We show that M1 somatostatin interneurons (SST-Ins) display synchronized, action-locked calcium activity during acquisition of a lever-press task in freely moving mice, in contrast to the sequential activation of pyramidal neurons. Following extended training under a stable task schedule, SST-IN activity was no longer coupled to action execution. However, when task demands were modified to require faster and more temporally constrained action sequences, SST-IN activity redistributed and correlated with trial-by-trial changes in sequences, rather than diminishing. Inhibition of SST-INs disrupted temporal organization and impaired efficient motor execution. These findings highlight the unexpected role of M1 SST-INs in refining motor programs into more efficient and task-specific structures.

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Data availability

Raw data can be found in Source Data file provided with this paper. Source data are provided with this paper.

Code availability

Examples of custom codes used in this manuscript are deposited in the database and publicly accessible at https://github.com/Jeongoenlee/SST.

References

  1. Graybiel, A. M. et al. The basal ganglia and adaptive motor control. Science 265, 1826–1831 (1994).

    Google Scholar 

  2. Kawai, R. et al. Motor cortex is required for learning but not for executing a motor skill. Neuron 86, 800–812 (2015).

    Google Scholar 

  3. Jin, X., Tecuapetla, F. & Costa, R. M. Basal ganglia subcircuits distinctively encode the parsing and concatenation of action sequences. Nat. Neurosci. 17, 423–430 (2014).

    Google Scholar 

  4. Zimnik, A. J. & Churchland, M. M. Independent generation of sequence elements by motor cortex. Nat. Neurosci. 24, 412–424 (2021).

    Google Scholar 

  5. Fee, M. S. & Goldberg, J. H. A hypothesis for basal ganglia-dependent reinforcement learning in the songbird. Neuroscience 198, 152–170 (2011).

    Google Scholar 

  6. Xu, D. et al. Cortical processing of flexible and context-dependent sensorimotor sequences. Nature 603, 464–469 (2022).

    Google Scholar 

  7. Wu, H. G. et al. Temporal structure of motor variability is dynamically regulated and predicts motor learning ability. Nat. Neurosci. 17, 312–321 (2014).

    Google Scholar 

  8. Tumer, E. C. & Brainard, M. S. Performance variability enables adaptive plasticity of ‘crystallized’ adult birdsong. Nature 450, 1240–1244 (2007).

    Google Scholar 

  9. Dhawale, A. K., Smith, M. A. & Olveczky, B. P. The role of variability in motor learning. Annu. Rev. Neurosci. 40, 479–498 (2017).

    Google Scholar 

  10. Jin, X. & Costa, R. M. Start/stop signals emerge in nigrostriatal circuits during sequence learning. Nature 466, 457–462 (2010).

    Google Scholar 

  11. Kupferschmidt, D. A. et al. Parallel, but dissociable, processing in discrete corticostriatal inputs encodes skill learning. Neuron 96, 476–489.e5 (2017).

    Google Scholar 

  12. Park, J. et al. Motor cortical output for skilled forelimb movement is selectively distributed across projection neuron classes. Sci. Adv. 8, eabj5167 (2022).

    Google Scholar 

  13. Masamizu, Y. et al. Two distinct layer-specific dynamics of cortical ensembles during learning of a motor task. Nat. Neurosci. 17, 987–994 (2014).

    Google Scholar 

  14. Peters, A. J., Chen, S. X. & Komiyama, T. Emergence of reproducible spatiotemporal activity during motor learning. Nature 510, 263–267 (2014).

    Google Scholar 

  15. Wolff, S. B., Ko, R. & Ölveczky, B. P. Distinct roles for motor cortical and thalamic inputs to striatum during motor skill learning and execution. Sci. Adv. 8, eabk0231 (2022).

    Google Scholar 

  16. Hwang, E. J. et al. Disengagement of motor cortex from movement control during long-term learning. Sci. Adv. 5, eaay0001 (2019).

    Google Scholar 

  17. Churchland, M. M. et al. Neural population dynamics during reaching. Nature 487, 51–56 (2012).

    Google Scholar 

  18. Lu, X. & Ashe, J. Anticipatory activity in primary motor cortex codes memorized movement sequences. Neuron 45, 967–973 (2005).

    Google Scholar 

  19. Solopchuk, O., Alamia, A., Dricot, L., Duque, J. & Zénon, A. cTBS disruption of the supplementary motor area perturbs cortical sequence representation but not behavioural performance. NeuroImage 1.163, 34–40 (2017).

    Google Scholar 

  20. Mizes, K. G. C. et al. The role of motor cortex in motor sequence execution depends on demands for flexibility. Nat. Neurosci. 27, 2466–2475 (2024).

    Google Scholar 

  21. Tremblay, R., Lee, S. & Rudy, B. GABAergic interneurons in the neocortex: from cellular properties to circuits. Neuron 91, 260–292 (2016).

    Google Scholar 

  22. Isomura, Y. et al. Microcircuitry coordination of cortical motor information in self-initiation of voluntary movements. Nat. Neurosci. 12, 1586–1593 (2009).

    Google Scholar 

  23. Huber, D. et al. Multiple dynamic representations in the motor cortex during sensorimotor learning. Nature 484, 473–478 (2012).

    Google Scholar 

  24. Chen, S. X. et al. Subtype-specific plasticity of inhibitory circuits in motor cortex during motor learning. Nat. Neurosci. 18, 1109–1115 (2015).

    Google Scholar 

  25. Adler, A. et al. Somatostatin-expressing interneurons enable and maintain learning-dependent sequential activation of pyramidal neurons. Neuron 102, 202–216.e7 (2019).

    Google Scholar 

  26. Cichon, J. & Gan, W. B. Branch-specific dendritic Ca2+ spikes cause persistent synaptic plasticity. Nature 520, 180–185 (2015).

    Google Scholar 

  27. Wang, X. et al. Deconstruction of corticospinal circuits for goal-directed motor skills. Cell 171, 440–455.e14 (2017).

    Google Scholar 

  28. Zhang, B., Geddes, C. E. & Jin, X. Complementary corticostriatal circuits orchestrate action repetition and switching. Sci. Adv. 11, eadt0854 (2025).

    Google Scholar 

  29. Pinto, L. et al. Task-dependent changes in the large-scale dynamics and necessity of cortical regions. Neuron 104, 810–824.e9 (2019).

    Google Scholar 

  30. Nicholas, M. A. & Yttri, E. A. Motor cortex is responsible for motoric dynamics in striatum and the execution of both skilled and unskilled actions. Neuron 112, 3486–3501 (2024).

    Google Scholar 

  31. Hong, Y. K. et al. Sensation, movement and learning in the absence of barrel cortex. Nature 561, 542–546 (2018).

    Google Scholar 

  32. Miri, A. et al. Behaviorally selective engagement of short-latency effector pathways by motor cortex. Neuron 95, 683–696 (2017).

    Google Scholar 

  33. Guo, J. Z. et al. Cortex commands the performance of skilled movement. eLife 4, e10774 (2015).

    Google Scholar 

  34. Sauerbrei, B. A. et al. Cortical pattern generation during dexterous movement is input-driven. Nature 577, 386–391 (2020).

    Google Scholar 

  35. Drew, T., Jiang, W., Kably, B. & Lavoie, S. Role of the motor cortex in the control of visually triggered gait modifications. Can. J. Physiol. Pharmacol. 74, 443–455 (1996).

    Google Scholar 

  36. Bollu, T. et al. Motor cortical inactivation impairs corrective submovements in mice performing a hold-still center-out reach task. J. Neurophysiol. 132, 829–848 (2024).

    Google Scholar 

  37. Warren, R. A., Whitmire, C. J., Kaliki, R. R. & Kleinfeld, D. A rapid whisker-based decision underlying skilled locomotion in mice. eLife 10, e63596 (2021).

    Google Scholar 

  38. Drew, T., Jiang, W. & Widajewicz, W. Contributions of the motor cortex to the control of the hindlimbs during locomotion in the cat. Brain Res. Rev. 40, 178–191 (2002).

    Google Scholar 

  39. Hattori, R. et al. Functions and dysfunctions of neocortical inhibitory neuron subtypes. Nat. Neurosci. 20, 1199–1208 (2017).

    Google Scholar 

  40. Constantinople, C. M. & Bruno, R. M. Deep cortical layers are activated directly by thalamus. Science 340, 1591–1594 (2013).

    Google Scholar 

  41. Lee, S. et al. A disinhibitory circuit mediates motor integration in the somatosensory cortex. Nat. Neurosci. 16, 1662–1670 (2013).

    Google Scholar 

  42. Jiang, W., Tremblay, F. & Chapman, C. E. Context-dependent tactile texture-sensitivity in monkey M1 and S1 cortex. J. Neurophysiol. 120, 2334–2350 (2018).

    Google Scholar 

  43. Ferezou, I. et al. Spatiotemporal dynamics of cortical sensorimotor integration in behaving mice. Neuron 56, 907–923 (2007).

    Google Scholar 

  44. Gentet, L. J. et al. Unique functional properties of somatostatin-expressing GABAergic neurons in mouse barrel cortex. Nat. Neurosci. 15, 607–612 (2012).

    Google Scholar 

  45. McColgan, P. et al. The human motor cortex microcircuit: insights for neurodegenerative disease. Nat. Rev. Neurosci. 21, 401–415 (2020).

  46. Fujii, N. & Graybiel, A. M. Representation of action sequence boundaries by macaque prefrontal cortical neurons. Science 301, 1246–1249 (2003).

    Google Scholar 

  47. Tennant, K. A. et al. The organization of the forelimb representation of the C57BL/6 mouse motor cortex as defined by intracortical microstimulation and cytoarchitecture. Cereb Cortex. 21, 865–876 (2011).

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Acknowledgements

We would like to thank Drs. Karina Abrahao, Armando Salinas, Shana Augustin for advice on the project, technical support, and personal training. We also thank Drs. Joseph Cheer, Qing Liu, Kuan Hong Wang, Morgana Favero on technical support on head-mounted microscope systems, Dr. Andrew Kesner for help in use of the optogenetic laser controller, and Guoxiang Luo and Aurora Sheridan for tissue sample preparation. This work was supported by the Division of Intramural Clinical and Biological Research of the National Institute on Alcohol Abuse and Alcoholism (NIAAA).

Author information

Author notes
  1. Sebastiano Bariselli

    Present address: IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milano, Italy

  2. Sebastiano Bariselli

    Present address: Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy

  3. Giacomo Sitzia

    Present address: Department of Neuroscience, Københavns Universitet, København, Hovedstaden, Denmark

Authors and Affiliations

  1. Laboratory for Integrative Neuroscience (LIN), National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA

    Jeong Oen Lee, Sebastiano Bariselli, Giacomo Sitzia, Abigail Holder & David M. Lovinger

Authors
  1. Jeong Oen Lee
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  2. Sebastiano Bariselli
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Contributions

J.O.L., S.B., and D.M.L. conceived and designed the study. J.O.L. performed imaging, software programming, and behavior experiments, and all data analysis with input from S.B. and D.M.L. G.S. performed brain slice electrophysiology experiments with input from S.B. and D.M.L. A.H. performed behavioral experiments, input from J.O.L. and D.M.L. J.O.L., S.B., G.S., A.H., and D.M.L. discussed data and wrote the manuscript. D.M.L., J.O.L., and S.B. directed the project.

Corresponding author

Correspondence to David M. Lovinger.

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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Lee, J.O., Bariselli, S., Sitzia, G. et al. Motor cortex somatostatin interneurons adaptively shape the structure of action sequences. Nat Commun (2026). https://doi.org/10.1038/s41467-026-70353-y

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  • Received: 26 September 2024

  • Accepted: 24 February 2026

  • Published: 18 March 2026

  • DOI: https://doi.org/10.1038/s41467-026-70353-y

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