Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

A top-down slow breathing circuit that alleviates negative affect in mice

Abstract

Although breathing is primarily automatic, its modulation by behavior and emotions suggests cortical inputs to brainstem respiratory networks, which hitherto have received little characterization. Here we identify in mice a top-down breathing pathway from dorsal anterior cingulate cortex (dACC) neurons to pontine reticular nucleus GABAergic inhibitory neurons (PnCGABA), which then project to the ventrolateral medulla (VLM). dACC→PnC activity correlates with slow breathing cycles and volitional orofacial behaviors and is influenced by anxiogenic conditions. Optogenetic stimulation of the dACC→PnCGABA→VLM circuit simultaneously slows breathing and suppresses anxiety-like behaviors, whereas optogenetic inhibition increases both breathing rate and anxiety-like behaviors. These findings suggest that the dACC→PnCGABA→VLM circuit has a crucial role in coordinating slow breathing and reducing negative affect. Our study elucidates a circuit basis for top-down control of breathing, which can influence emotional states.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Identification of a cortical-to-brainstem slow breathing circuit.
Fig. 2: dACC→PnC activities correlate with behaviors that alter breathing.
Fig. 3: The dACC→PnC circuit is required for voluntary drinking.
Fig. 4: dACC→PnC activities correlate with breathing changes during aversive conditions.
Fig. 5: dACC→PnC activation reduces breathing rate and anxiety-like behaviors.
Fig. 6: PnCGABA→VLM activation attenuates breathing rate and anxiety-like behavior.

Similar content being viewed by others

Data availability

All data are available from the corresponding author upon request. All data associated with statistical analyses are available as source data. The source data are also available at figshare repository (https://doi.org/10.6084/m9.figshare.26888749 (ref. 53)). Source data are provided with this paper.

References

  1. Feldman, J. L., Mitchell, G. S. & Nattie, E. E. Breathing: rhythmicity, plasticity, chemosensitivity. Annu. Rev. Neurosci. 26, 239–266 (2003).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Del Negro, C. A., Funk, G. D. & Feldman, J. L. Breathing matters. Nat. Rev. Neurosci. 19, 351–367 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Dick, T. E. et al. Facts and challenges in respiratory neurobiology. Respir. Physiol. Neurobiol. 258, 104–107 (2018).

    Article  CAS  PubMed  Google Scholar 

  4. Pagliardini, S., Funk, G. D. & Dickson, C. T. Breathing and brain state: urethane anesthesia as a model for natural sleep. Respir. Physiol. Neurobiol. 188, 324–332 (2013).

    Article  CAS  PubMed  Google Scholar 

  5. Arthurs, J. W., Bowen, A. J., Palmiter, R. D. & Baertsch, N. A. Parabrachial tachykinin1-expressing neurons involved in state-dependent breathing control. Nat. Commun. 14, 963 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Park, H.-D. et al. Breathing is coupled with voluntary action and the cortical readiness potential. Nat. Commun. 11, 289 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Betka, S., Adler, D., Similowski, T. & Blanke, O. Breathing control, brain, and bodily self-consciousness: toward immersive digiceuticals to alleviate respiratory suffering. Biol. Psychol. 171, 108329 (2022).

    Article  PubMed  Google Scholar 

  8. Moore, J. D. et al. Hierarchy of orofacial rhythms revealed through whisking and breathing. Nature 497, 205–210 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Hegland, K. W., Bolser, D. C. & Davenport, P. W. Volitional control of reflex cough. J. Appl. Physiol. 113, 39–46 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Watanabe, Y., Abe, S., Ishikawa, T., Yamada, Y. & Yamane, G. Y. Cortical regulation during the early stage of initiation of voluntary swallowing in humans. Dysphagia 19, 100–108 (2004).

    Article  PubMed  Google Scholar 

  11. Martin-Harris, B. Coordination of respiration and swallowing. GI Motility online https://www.nature.com/gimo/contents/pt1/full/gimo10.html (2006).

  12. Homma, I. & Masaoka, Y. Breathing rhythms and emotions. Exp. Physiol. 93, 1011–1021 (2008).

    Article  PubMed  Google Scholar 

  13. Holt, P. E. & Andrews, G. Hyperventilation and anxiety in panic disorder, social phobia, GAD and normal controls. Behav. Res. Ther. 27, 453–460 (1989).

    Article  CAS  PubMed  Google Scholar 

  14. Leander, M. et al. Impact of anxiety and depression on respiratory symptoms. Respir. Med. 108, 1594–1600 (2014).

    Article  PubMed  Google Scholar 

  15. Masaoka, Y., Jack, S., Warburton, C. J. & Homma, I. Breathing patterns associated with trait anxiety and breathlessness in humans. Jpn. J. Physiol. 54, 465–470 (2004).

    Article  PubMed  Google Scholar 

  16. Bondarenko, E., Hodgson, D. & Nalivaiko, E. Prelimbic prefrontal cortex mediates respiratory responses to mild and potent prolonged, but not brief, stressors. Respir. Physiol. Neurobiol. 204, 21–27 (2014).

    Article  CAS  PubMed  Google Scholar 

  17. Bondarenko, E. & Nalivaiko, E. Pharmacological inhibition of infralimbic prefrontal cortex abolishes sniffing behavior and respiratory response to stress. FASEB J. 30, 1261 (2016).

    Article  Google Scholar 

  18. Liu, S. et al. Divergent brainstem opioidergic pathways that coordinate breathing with pain and emotions. Neuron 110, 857–873 (2022).

    Article  CAS  PubMed  Google Scholar 

  19. Valenza, M. C. et al. Effectiveness of controlled breathing techniques on anxiety and depression in hospitalized patients with COPD: a randomized clinical Trial. Respir. Care 59, 209–215 (2014).

    Article  PubMed  Google Scholar 

  20. Strigo, I. A. & Craig, A. D. Interoception, homeostatic emotions and sympathovagal balance. Philos. Trans. R. Soc. Lond. B 371, 20160010 (2016).

    Article  Google Scholar 

  21. Balban, M. Y. et al. Brief structured respiration practices enhance mood and reduce physiological arousal. Cell Rep. Med. 4, 100895 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  22. Herrero, J. L., Khuvis, S., Yeagle, E., Cerf, M. & Mehta, A. D. Breathing above the brain stem: volitional control and attentional modulation in humans. J. Neurophysiol. 119, 145–159 (2018).

    Article  PubMed  Google Scholar 

  23. Mckay, L. C., Evans, K. C., Frackowiak, R. S. & Corfield, D. R. Neural correlates of voluntary breathing in humans. J. Appl. Physiol. 95, 1170–1178 (2003).

    Article  CAS  PubMed  Google Scholar 

  24. Tremoureux, L. et al. Does the supplementary motor area keep patients with Ondine’s curse syndrome breathing while awake? PLoS ONE 9, e84534 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  25. Macey, K. E. et al. Inspiratory loading elicits aberrant fMRI signal changes in obstructive sleep apnea. Respir. Physiol. Neurobiol. 151, 44–60 (2006).

    Article  PubMed  Google Scholar 

  26. Davenport, P. W. & Vovk, A. Cortical and subcortical central neural pathways in respiratory sensations. Respir. Physiol. Neurobiol. 167, 72–86 (2009).

    Article  PubMed  Google Scholar 

  27. Liotti, M. et al. Brain responses associated with consciousness of breathlessness (air hunger). Proc. Natl Acad. Sci. USA 98, 2035–2040 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Harper, R. M. et al. Hypercapnic exposure in congenital central hypoventilation syndrome reveals CNS respiratory control mechanisms. J. Neurophysiol. 93, 1647–1658 (2005).

    Article  CAS  PubMed  Google Scholar 

  29. Evans, K. C. et al. BOLD fMRI identifies limbic, paralimbic, and cerebellar activation during air hunger. J. Neurophysiol. 88, 1500–1511 (2002).

    Article  PubMed  Google Scholar 

  30. Kelly, B. N., Huckabee, M. L., Jones, R. D. & Carroll, G. J. The influence of volition on breathing-swallowing coordination in healthy adults. Behav. Neurosci. 121, 1174–1179 (2007).

    Article  PubMed  Google Scholar 

  31. Jürgens, U. Neural pathways underlying vocal control. Neurosci. Biobehav. Rev. 26, 235–258 (2002).

    Article  PubMed  Google Scholar 

  32. Biskamp, J., Bartos, M. & Sauer, J.-F. Organization of prefrontal network activity by respiration-related oscillations. Sci. Rep. 7, 45508 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Karalis, N. & Sirota, A. Breathing coordinates cortico-hippocampal dynamics in mice during offline states. Nat. Commun. 13, 467 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Baertsch, N. A., Baertsch, H. C. & Ramirez, J. M. The interdependence of excitation and inhibition for the control of dynamic breathing rhythms. Nat. Commun. 9, 843 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  35. Hirrlinger, J. et al. GABA-glycine cotransmitting neurons in the ventrolateral medulla: development and functional relevance for breathing. Front. Cell. Neurosci. 13, 517 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Sherman, D., Worrell, J. W., Cui, Y. & Feldman, J. L. Optogenetic perturbation of preBötzinger complex inhibitory neurons modulates respiratory pattern. Nat. Neurosci. 18, 408–414 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Hülsmann, S., Hagos, L., Eulenburg, V. & Hirrlinger, J. Inspiratory off-switch mediated by optogenetic activation of inhibitory neurons in the preBötzinger complex in vivo. Int. J. Mol. Sci. 22, 2019 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  38. Yang, C. F., Kim, E. J., Callaway, E. M. & Feldman, J. L. Monosynaptic projections to excitatory and inhibitory preBötzinger complex neurons. Front. Neuroanat. 14, 58 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Zingg, B. et al. AAV-mediated anterograde transsynaptic tagging: mapping corticocollicular input-defined neural pathways for defense behaviors. Neuron 93, 33–47 (2017).

    Article  CAS  PubMed  Google Scholar 

  40. Zingg, B., Peng, B., Huang, J., Tao, H. W. & Zhang, L. I. Synaptic specificity and application of anterograde transsynaptic AAV for probing neural circuitry. J. Neurosci. 40, 3250–3267 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Scott, G., Westberg, K.-G., Vrentzos, N., Kolta, A. & Lund, J. Effect of lidocaine and NMDA injections into the medial pontobulbar reticular formation on mastication evoked by cortical stimulation in anaesthetized rabbits. Eur. J. Neurosci. 17, 2156–2162 (2003).

    Article  CAS  PubMed  Google Scholar 

  42. McAfee, S. S. et al. Minimally invasive highly precise monitoring of respiratory rhythm in the mouse using an epithelial temperature probe. J. Neurosci. Methods 263, 89–94 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  43. Liu, S. & Han, S. Simultaneous recording of breathing and neural activity in awake behaving mice. STAR Protoc. 3, 101412 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  44. Huckabee, M. L., Deecke, L., Cannito, M. P., Gould, H. J. & Mayr, W. Cortical control mechanisms in volitional swallowing: the Bereitschaftspotential. Brain Topogr. 16, 3–17 (2003).

    Article  PubMed  Google Scholar 

  45. Le Gal, J. P. et al. Modulation of respiratory network activity by forelimb and hindlimb locomotor generators. Eur. J. Neurosci. 52, 3181–3195 (2020).

    Article  PubMed  Google Scholar 

  46. Fanning, J. et al. Relationships between respiratory sinus arrhythmia and stress in college students. J. Behav. Med. 43, 308–317 (2020).

    Article  CAS  PubMed  Google Scholar 

  47. Manuel, J. et al. Deciphering the neural signature of human cardiovascular regulation. eLife 9, e55316 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Menuet, C. et al. PreBötzinger complex neurons drive respiratory modulation of blood pressure and heart rate. eLife 9, e57288 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Molle, L. & Coste, A. The respiratory modulation of interoception. J. Neurophysiol. 127, 896–899 (2022).

    Article  PubMed  Google Scholar 

  50. Klein, A. S., Dolensek, N., Weiand, C. & Gogolla, N. Fear balance is maintained by bodily feedback to the insular cortex in mice. Science 374, 1010–1015 (2021).

    Article  CAS  PubMed  Google Scholar 

  51. Liu, Y. et al. Molecular regulation of sexual preference revealed by genetic studies of 5-HT in the brains of male mice. Nature 472, 95–99 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Beny-Shefer, Y. et al. Nucleus accumbens dopamine signaling regulates sexual preference for females in male mice. Cell Rep. 21, 3079–3088 (2017).

    Article  CAS  PubMed  Google Scholar 

  53. Jhang, J. et al. A top-down slow breathing circuit that alleviates negative affect. figshare https://doi.org/10.6084/m9.figshare.26888749 (2024).

Download references

Acknowledgements

We thank all members of the Han Laboratory for scientific discussions and support. This work was supported by grants from the KAVLI Institute for Brain and Mind Innovative Research Grants (IRGS 2020-1710). All members of the Han Laboratory are committed to upholding principles of equity and inclusion, ensuring that no person is discriminated against based on gender, race, age, religion, sexual orientation, veteran status or disability.

Author information

Authors and Affiliations

Authors

Contributions

S.H. and J.J. designed the study and secured funding. J.J., S.P., D.D.O. and S.H. wrote the paper. J.J. performed the experiments and analyzed the data. S.P. performed electrophysiology. S.L. helped with thermistor implantation surgeries.

Corresponding author

Correspondence to Sung Han.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Neuroscience thanks Julien Bouvier, Nadine Gogolla and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Allen Brain Atlas-based search for potential top–down breathing circuits.

a, Summary of the criteria used to search candidate circuits. Axonal projection images were searched through the Mouse Brain Connectivity Atlas (Allen Brain Institute). In situ hybridization (ISH) images were searched through the Mouse Brain ISH Data Atlas (Allen Brain Institute). b, Sample images showing the projections of labeled PnC neurons observed in the ventrolateral medulla (VLM). Left, the AAV injection site (PnC). Right, the observed terminals in the VLM. c, Sample image from a Vgat ISH experiment. d, Sample images showing the projections of PFC neurons observed in the PnC. Left image shows the AAV injection site (PFC, prefrontal cortex; covering the dACC and vACC) with the expression of eGFP. Middle and right (in segmentation view) images show the eGFP-labeled axon terminals in the PnC. PnC, pontine reticular nucleus; VLM, ventrolateral medulla; PFC, prefrontal cortex. Scale bars, 200 μm in bd. These are representative data (bd) available from the Allen Brain Atlas.

Source data

Extended Data Fig. 2 Photoactivation of dACC→PnC neurons with breathing measurement.

a, Representative raw breathing trace measured by inductance plethysmography experiment under anesthesia from a mouse expressing ChR2 in dACC→PnC neurons. bf, Analyses of breathing rates and inspiratory/expiratory durations during photoactivation of dACC→PnC neurons with reduced light intensity (bf; ChR2, N = 6; eGFP, N = 5 mice). b,c, Percent change of normalized breathing rates during the photoactivation with ~6 mW (b) and ~3 mW (c) intensity. d, Correlation between the change of breathing rate and intensity of light stimulation. e,f, Correlation between the change of inspiratory (e) or expiratory (f) duration and intensity of light stimulation. g, Photaoactivation of dACC→PnC neurons decreases breathing rates (shown in breath per minute; BPM). h, Schematic of breathing monitoring using a nasal thermistor sensor. i,j, Photoactivation of dACC→PnC neurons led to a decrease in breathing rate in awake mice (ChR2, N = 6; eGFP N = 6 mice). Average breathing rate (5-s window smoothed; i); light-induced changes (ON– OFF) in breathing rates (j). N.SP > 0.05, *P < 0.05, **P < 0.01, ***P < 0.001. Line graphs are shown as mean ± s.e.m. Box-whisker plot is shown as median and interquartile range with minimum and maximum.

Extended Data Fig. 3 Retrograde tracing from the dACC does not label neurons in the PnC.

a, Schematic of CTB-555 injection into the dACC (left) and representative image showing the injection site (right). Scale bar, 500 μm. b, Known afferent regions of the dACC (claustrum and basolateral amygdala) and the PnC. No retrograde labeling occurred in the PnC (N = 4 mice). CLA, claustrum; LA, lateral nucleus of amygdala; BLA, basolateral nucleus of amygdala. Scale bar, 200 μm.

Extended Data Fig. 4 Raw breathing traces and jaw movement recording during optogenetic stimulation of PnCGABA neurons.

a, Raw breathing trace recorded during ChR2-mediated photoactivation of PnCGABA neurons. Scale bar, 10 s. b, Raw breathing trace recorded during eNpHR3.0-mediated photoinhibition of PnCGABA neurons. Scale bar, 10 s. c,d, Schematic of simultaneous recording of jaw movement and breathing signals using inductance plethysmography under anesthesia (c, left) or using nasal thermistor sensor in awake state (d, left). No instance of jaw opening or mastication was observed throughout the duration of photostimulation (right; c, N = 4 mice; d, N = 5 mice).

Extended Data Fig. 5 Response of PnCGABA neurons to drinking and swimming.

a, Surgical procedure for expressing jGCaMP7s in PnCGABA neurons, and image showing jGCaMP7s expression (right). Scale bar, 200 μm. b, Schematic showing observation of voluntary drinking behavior. c, Representative traces showing breathing cycles and PnCGABA activity during drinking behavior. d, Average PnCGABA activity during drinking behavior (N = 5 mice). Dashed line shows the moment that a water droplet was taken into oral cavity. e, Schematic of submersion experiments in which mice were removed after 1–2 s (withdrawal). f, Representative traces showing breathing cycles and PnCGABA activity during withdrawal experiments. g, Average PnCGABA neuronal activity during withdrawal experiments (N = 5 mice). h, Schematic of submersion experiments in which mice were released. i, Representative traces showing breathing cycles and PnCGABA activity during release/swim experiments. j, Average PnCGABA neuronal activity during release/swim experiments (N = 5 mice). Data are shown as mean ± s.e.m. or individual value from each subject.

Source data

Extended Data Fig. 6 Extended data related to breathing and dACC→PnC activity measurements during EPM exposure.

a, Illustrations showing GCaMP7s injection sites and fiber placement targeting dACC area, in mice used for elevated plus maze, elevated platform and foot shock exposure experiments (N = 6 mice). b, Representative traces of dACC→PnC neuronal activity (top) and breathing rate (bottom) during the elevated plus maze exposure. c, Representative raw breathing signals observed during an exit episode. d, Analysis of the length of inspiratory and expiratory phases before and after exit (N = 6 mice). e, Breathing rates during exploration of an exposed area classified by episodes with refrained behavior (n = 43 episodes) and full exploration (n = 10 episodes). ***P < 0.001. Data are shown as mean ± s.e.m. or individual value from each subject.

Source data

Extended Data Fig. 7 Axon collaterals of dACC→PnC neurons and behavioral tests with photoactivation or photoinhibition of the dACC→PnC pathway.

a, Axon collaterals of dACC→PnC neurons observed in regions other than the PnC. Scale bar, 200 μm. b,c, Photoactivation of dACC→PnC neurons (ChR2, N = 6; eGFP, N = 7 male mice) did not change approach response to female odor (b) but reduced avoidance response to TMT (c). df, Photoactivation of dACC→PnC neurons during light/dark choice test (d, ChR2, N = 9 and eGFP control, N = 8 mice). Photoactivation of dACC→PnC neurons reduces ΔBPM (light–dark; e) and increases time spent in the light zone (f). g,h, Photoinhibition of dACC→PnC projections (eNpHR3.0, N = 7; eGFP control, N = 8 male mice) did not change approach response to female odor (g) or avoidance response to TMT (h). LV, lateral ventricle; CPu, caudate putamen; cc, corpus callosum; D3V, dorsal third ventricle; PVT, paraventricular thalamic nucleus; MD, mediodorsal thalamic nucleus; VMT, ventromedial thalamic nucleus; DpME, deep mesencephalic nucleus; RMC, red nucleus, magnocellular; ZI, zona incerta; LH, lateral hypothalamus; mt, mammillothalamic tract; ic, internal capsule. N.SP > 0.05, *P < 0.05, **P < 0.01. Bar graphs are shown as mean ± s.e.m. Box-whisker plots are shown as median and interquartile range with minimum and maximum.

Source data

Extended Data Fig. 8 Efferent projections of PnCGABA neurons.

a, Efferent projections of PnCGABA neurons. Right, quantification of projection density of eYFP-labeled axons (N = 5 mice, Vgat-ires-Cre). Scale bar, 200 μm. b, Images showing the viral injection site in the PnC, and brainstem regions receiving efferent fibers expressing ChR2-eYFP. Scale bar, 200 μm. BST, bed nucleus of stria terminalis; LHb, lateral habenula; PVT, paraventricular nucleus of thalamus; PB, parabrachial nucleus; VLM, ventrolateral medulla. Data are shown as mean ± s.e.m.

Source data

Extended Data Fig. 9 Measurement of breathing rate during photoactivation of PnCGABA terminals.

a, Inductance plethysmography experiments performed with photoactivation of PnCGABA→VLM terminals (ChR2, N = 7; eGFP, N = 7 mice), tested with different frequencies. b, Changes in breathing rates (% of baseline) induced by stimulation of PnCGABA→VLM terminals (ChR2, N = 7; eGFP, N = 7 mice). c, Inductance plethysmography experiments performed with photoactivation of PnCGABA→LHb/PVT terminals (ChR2, N = 7; eGFP, N = 8 mice), tested with different frequencies. d, Changes in breathing rates (% of baseline) induced by stimulation of PnCGABA→LHb/PVT terminals (ChR2, N = 7; eGFP, N = 8 mice). eg, Breathing rates shown as breaths per minute (BPM) during photoactivation experiments (15-Hz stimulation; e, PnCGABA→VLM; f, PnCGABA→LHb/PVT; g, AAV1-based labeling). ***P < 0.001. Line graphs are shown as mean ± s.e.m. Box-whisker plots are shown as median and interquartile range with minimum and maximum.

Source data

Supplementary information

Supplementary Information

Supplementary Figs. 1–5 and Table 1.

Reporting Summary

Source data

Source Data Fig. 1

Statistical source data.

Source Data Fig. 2

Statistical source data.

Source Data Fig. 3

Statistical source data

Source Data Fig. 4

Statistical source data.

Source Data Fig. 5

Statistical source data.

Source Data Fig. 6

Statistical source data.

Source Data Extended Data Fig. 2

Statistical source data.

Source Data Extended Data Fig. 5

Statistical source data.

Source Data Extended Data Fig. 6

Statistical source data.

Source Data Extended Data Fig. 7

Statistical source data.

Source Data Extended Data Fig. 8

Statistical source data.

Source Data Extended Data Fig. 9

Statistical source data.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jhang, J., Park, S., Liu, S. et al. A top-down slow breathing circuit that alleviates negative affect in mice. Nat Neurosci 27, 2455–2465 (2024). https://doi.org/10.1038/s41593-024-01799-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41593-024-01799-w

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing