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.

Advertisement

Translational Psychiatry
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. translational psychiatry
  3. articles
  4. article
Chemogenetic modulation of the prelimbic cortex to the nucleus accumbens core pathway reduces cocaine-induced increase of risk preference
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 03 April 2026

Chemogenetic modulation of the prelimbic cortex to the nucleus accumbens core pathway reduces cocaine-induced increase of risk preference

  • Joonyeup Han1,2,
  • Myung Ji Kwak1,2 nAff3,
  • Wha Young Kim1 &
  • …
  • Jeong-Hoon Kim  ORCID: orcid.org/0000-0001-7095-37291,2 

Translational Psychiatry , Article number:  (2026) Cite this article

  • 86 Accesses

  • 7 Altmetric

  • Metrics details

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

  • Addiction
  • Physiology

Abstract

Decision-making impairments are a core symptom of several psychiatric disorders, including gambling and substance use disorders (SUD). These disorders frequently co-occur, suggesting shared neurobiological mechanisms underlying dysfunctional decision-making. We previously demonstrated that chronic cocaine exposure increases risk preference in a rat gambling task (rGT). Given that the prelimbic cortex (PrL) to the nucleus accumbens (NAc) core pathway plays a crucial role in regulating risk-based decision-making, we further explored how chemogenetic modulation of this pathway alters cocaine-induced increase in risky decision-making in the rGT. Notably, activation of Gi, but not Gq, designer receptors exclusively activated by designer drugs (DREADD) in the PrL attenuated the cocaine-induced increase of risk preference in risk-averse rats, while simultaneously reducing cocaine-induced attentional deficits measured by task omissions. Subsequent molecular analyses revealed that cocaine significantly induced changes in the expression levels of calcium channel alpha 1 C subunit (CaV1.2) and in the ratio of phosphorylation at serine 97 of total dopamine- and cAMP-regulated phosphoprotein, 32 kDa (DARPP-32) in the PrL region of these rats, which returned to basal levels with concurrent Gi-DREADD activation. No significant behavioral or molecular changes were observed in risk-seeking rats. These results suggest that modulating the PrL-NAc core pathway can selectively control risk-based decision-making behavior and attentional processes affected by cocaine exposure, offering therapeutic potential for addressing decision-making impairments in dual diagnoses of gambling and SUD.

Similar content being viewed by others

The role of the prelimbic cortex to nucleus accumbens core projection in the reinstatement of cocaine-seeking after cocaine-alcohol polysubstance use

Article Open access 21 August 2025

Transcriptional characterization of cocaine withdrawal versus extinction within nucleus accumbens in male rats

Article Open access 25 March 2025

Glutamate concentration of medial prefrontal cortex is inversely associated with addictive behaviors: a translational study

Article Open access 12 October 2024

Data availability

The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation. Correspondence and requests for materials should be addressed to Wha Young Kim or Jeong-Hoon Kim.

Code availability

The code used for analysis is available from the corresponding author on reasonable request.

References

  1. Orsini CA, Moorman DE, Young JW, Setlow B, Floresco SB. Neural mechanisms regulating different forms of risk-related decision-making: Insights from animal models. Neurosci Biobehav Rev. 2015;58:147–67.

    Google Scholar 

  2. Chen S, Yang P, Chen T, Su H, Jiang H, Zhao M. Risky decision-making in individuals with substance use disorder: A meta-analysis and meta-regression review. Psychopharmacology. 2020;237:1893–908.

    Google Scholar 

  3. Potenza MN, Balodis IM, Derevensky J, Grant JE, Petry NM, Verdejo-Garcia A, et al. Gambling disorder. Nat Rev Dis Primers. 2019;5:51.

    Google Scholar 

  4. Kim SW, Grant JE, Eckert ED, Faris PL, Hartman BK. Pathological gambling and mood disorders: clinical associations and treatment implications. J Affect Disord. 2006;92:109–16.

    Google Scholar 

  5. Dani JA, Harris RA. Nicotine addiction and comorbidity with alcohol abuse and mental illness. Nat Neurosci. 2005;8:1465–70.

    Google Scholar 

  6. Hasin DS, Stinson FS, Ogburn E, Grant BF. Prevalence, correlates, disability, and comorbidity of DSM-IV alcohol abuse and dependence in the united states: results from the national epidemiologic survey on alcohol and related conditions. Arch Gen Psychiatry. 2007;64:830–42.

    Google Scholar 

  7. Volkow ND, Koob GF, McLellan AT. Neurobiologic advances from the brain disease model of addiction. N Engl J Med. 2016;374:363–71.

    Google Scholar 

  8. Ethier AR, Kim HS, Hodgins DC, McGrath DS. High rollers: correlates of problematic cocaine use among a community sample of gamblers. J Gambl Stud. 2020;36:513–25.

    Google Scholar 

  9. Bechara A, Damasio AR, Damasio H, Anderson SW. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition. 1994;50:7–15.

    Google Scholar 

  10. Bechara A. Risky business: emotion, decision-making, and addiction. J Gambl Stud. 2003;19:23–51.

    Google Scholar 

  11. Rivalan M, Ahmed SH, Dellu-Hagedorn F. Risk-prone individuals prefer the wrong options on a rat version of the iowa gambling task. Biol Psychiatry. 2009;66:743–9.

    Google Scholar 

  12. Zeeb FD, Robbins TW, Winstanley CA. Serotonergic and dopaminergic modulation of gambling behavior as assessed using a novel rat gambling task. Neuropsychopharmacology. 2009;34:2329–43.

    Google Scholar 

  13. van den Bos R, Koot S, de Visser L. A rodent version of the Iowa Gambling Task: 7 years of progress. Front Psychol. 2014;5:203.

    Google Scholar 

  14. Kwak MJ, Choi SJ, Cai WT, Cho BR, Han J, Park JW, et al. Manipulation of radixin phosphorylation in the nucleus accumbens core modulates risky choice behavior. Prog Neurobiol. 2024;242:102681.

    Google Scholar 

  15. Peters J, Vega T, Weinstein D, Mitchell J, Kayser A. Dopamine and risky decision-making in gambling disorder. eNeuro. 2020;7:ENEURO.0461–19.2020.

    Google Scholar 

  16. Grant JE, Odlaug BL, Chamberlain SR, Hampshire A, Schreiber LR, Kim SW. A proof of concept study of tolcapone for pathological gambling: relationships with COMT genotype and brain activation. Eur Neuropsychopharmacol. 2013;23:1587–96.

    Google Scholar 

  17. Balodis IM, Kober H, Worhunsky PD, Stevens MC, Pearlson GD, Potenza MN. Diminished frontostriatal activity during processing of monetary rewards and losses in pathological gambling. Biol Psychiatry. 2012;71:749–57.

    Google Scholar 

  18. Bolla KI, Eldreth DA, London ED, Kiehl KA, Mouratidis M, Contoreggi C, et al. Orbitofrontal cortex dysfunction in abstinent cocaine abusers performing a decision-making task. Neuroimage. 2003;19:1085–94.

    Google Scholar 

  19. Verdejo-Garcia A, Bechara A. A somatic marker theory of addiction. Neuropharmacology. 2009;56:48–62.

    Google Scholar 

  20. Dandy KL, Gatch MB. The effects of chronic cocaine exposure on impulsivity in rats. Behav Pharmacol. 2009;20:400–5.

    Google Scholar 

  21. Simon NW, Mendez IA, Setlow B. Cocaine exposure causes long-term increases in impulsive choice. Behav Neurosci. 2007;121:543–9.

    Google Scholar 

  22. Kim WY, Cho BR, Kwak MJ, Kim JH. Interaction between trait and housing condition produces differential decision-making toward risk choice in a rat gambling task. Sci Rep. 2017;7:5718.

    Google Scholar 

  23. Ferland JN, Winstanley CA. Risk-preferring rats make worse decisions and show increased incubation of craving after cocaine self-administration. Addict Biol. 2017;22:991–1001.

    Google Scholar 

  24. Cocker PJ, Rotge JY, Daniel ML, Belin-Rauscent A, Belin D. Impaired decision making following escalation of cocaine self-administration predicts vulnerability to relapse in rats. Addict Biol. 2020;25:e12738.

    Google Scholar 

  25. Dong Y, Nasif FJ, Tsui JJ, Ju WY, Cooper DC, Hu XT, et al. Cocaine-induced plasticity of intrinsic membrane properties in prefrontal cortex pyramidal neurons: adaptations in potassium currents. J Neurosci. 2005;25:936–40.

    Google Scholar 

  26. Lee BR, Dong Y. Cocaine-induced metaplasticity in the nucleus accumbens: silent synapse and beyond. Neuropharmacology. 2011;61:1060–9.

    Google Scholar 

  27. Wang X, Liu L, Adams W, Li S, Zhang Q, Li B, et al. Cocaine exposure alters dopaminergic modulation of prefronto-accumbens transmission. Physiol Behav. 2015;145:112–7.

    Google Scholar 

  28. Hynes TJ, Hrelja KM, Hathaway BA, Hounjet CD, Chernoff CS, Ebsary SA, et al. Dopamine neurons gate the intersection of cocaine use, decision making, and impulsivity. Addict Biol. 2021;26:e13022.

    Google Scholar 

  29. Beyer DKE, Horn L, Klinker N, Freund N. Risky decision-making following prefrontal D1 receptor manipulation. Transl Neurosci. 2021;12:432–43.

    Google Scholar 

  30. Zeeb FD, Baarendse PJ, Vanderschuren LJ, Winstanley CA. Inactivation of the prelimbic or infralimbic cortex impairs decision-making in the rat gambling task. Psychopharmacology. 2015;232:4481–91.

    Google Scholar 

  31. Goto Y, Grace AA. Limbic and cortical information processing in the nucleus accumbens. Trends Neurosci. 2008;31:552–8.

    Google Scholar 

  32. Stopper CM, Floresco SB. Contributions of the nucleus accumbens and its subregions to different aspects of risk-based decision making. Cogn Affect Behav Neurosci. 2011;11:97–112.

    Google Scholar 

  33. Ghods-Sharifi S, Floresco SB. Differential effects on effort discounting induced by inactivations of the nucleus accumbens core or shell. Behav Neurosci. 2010;124:179–91.

    Google Scholar 

  34. McGlinchey EM, James MH, Mahler SV, Pantazis C, Aston-Jones G. Prelimbic to accumbens core pathway is recruited in a dopamine-dependent manner to drive cued reinstatement of cocaine seeking. J Neurosci. 2016;36:8700–11.

    Google Scholar 

  35. Stefanik MT, Kupchik YM, Kalivas PW. Optogenetic inhibition of cortical afferents in the nucleus accumbens simultaneously prevents cue-induced transient synaptic potentiation and cocaine-seeking behavior. Brain Struct Funct. 2016;221:1681–9.

    Google Scholar 

  36. Siemsen BM, Barry SM, Vollmer KM, Green LM, Brock AG, Westphal AM, et al. A subset of nucleus accumbens neurons receiving dense and functional prelimbic cortical input are required for cocaine seeking. Front Cell Neurosci. 2022;16:844243.

    Google Scholar 

  37. Roth BL. DREADDs for Neuroscientists. Neuron. 2016;89:683–94.

    Google Scholar 

  38. Bonaventura J, Eldridge MAG, Hu F, Gomez JL, Sanchez-Soto M, Abramyan AM, et al. High-potency ligands for DREADD imaging and activation in rodents and monkeys. Nat Commun. 2019;10:4627.

    Google Scholar 

  39. Jenni NL, Larkin JD, Floresco SB. Prefrontal dopamine D(1) and D(2) receptors regulate dissociable aspects of decision making via distinct ventral striatal and amygdalar circuits. J Neurosci. 2017;37:6200–13.

    Google Scholar 

  40. Stipanovich A, Valjent E, Matamales M, Nishi A, Ahn JH, Maroteaux M, et al. A phosphatase cascade by which rewarding stimuli control nucleosomal response. Nature. 2008;453:879–84.

    Google Scholar 

  41. Nishi A, Matamales M, Musante V, Valjent E, Kuroiwa M, Kitahara Y, et al. Glutamate Counteracts Dopamine/PKA Signaling via Dephosphorylation of DARPP-32 Ser-97 and Alteration of Its Cytonuclear Distribution. J Biol Chem. 2017;292:1462–76.

    Google Scholar 

  42. Beaulieu JM, Gainetdinov RR, Caron MG. The Akt-GSK-3 signaling cascade in the actions of dopamine. Trends Pharmacol Sci. 2007;28:166–72.

    Google Scholar 

  43. Nasif FJ, Hu XT, White FJ. Repeated cocaine administration increases voltage-sensitive calcium currents in response to membrane depolarization in medial prefrontal cortex pyramidal neurons. J Neurosci. 2005;25:3674–9.

    Google Scholar 

  44. Ford KA, Wolf ME, Hu XT. Plasticity of L-type Ca2+ channels after cocaine withdrawal. Synapse. 2009;63:690–7.

    Google Scholar 

  45. Rajadhyaksha AM, Kosofsky BE. Psychostimulants, L-type calcium channels, kinases, and phosphatases. Neuroscientist. 2005;11:494–502.

    Google Scholar 

  46. Kwak MJ, Kim WY, Jung SH, Chung YJ, Kim JH. Differential transcriptome profile underlying risky choice in a rat gambling task. J Behav Addict. 2022;11:845–57.

    Google Scholar 

  47. Ku MJ, Kim CY, Park JW, Lee S, Jeong EY, Jeong JW, et al. Wireless optogenetic stimulation on the prelimbic to the nucleus accumbens core circuit attenuates cocaine-induced behavioral sensitization. Neurobiol Dis. 2024;203:106733.

    Google Scholar 

  48. Dalley JW, Laane K, Pena Y, Theobald DE, Everitt BJ, Robbins TW. Attentional and motivational deficits in rats withdrawn from intravenous self-administration of cocaine or heroin. Psychopharmacology. 2005;182:579–87.

    Google Scholar 

  49. Arrondeau C, Uruena-Mendez G, Marchessaux F, Goutaudier R, Ginovart N. Activation of the mPFC-NAc pathway reduces motor impulsivity but does not affect risk-related decision-making in innately high-impulsive male rats. J Neurosci Res. 2024;102:e25387.

    Google Scholar 

  50. McLellan AT, Lewis DC, O’Brien CP, Kleber HD. Drug dependence, a chronic medical illness: implications for treatment, insurance, and outcomes evaluation. JAMA. 2000;284:1689–95.

    Google Scholar 

  51. MacKillop J, Weafer J, Gray JC, Oshri A, Palmer A, de Wit H. The latent structure of impulsivity: impulsive choice, impulsive action, and impulsive personality traits. Psychopharmacology. 2016;233:3361–70.

    Google Scholar 

  52. Verdejo-Garcia A, Lawrence AJ, Clark L. Impulsivity as a vulnerability marker for substance-use disorders: review of findings from high-risk research, problem gamblers and genetic association studies. Neurosci Biobehav Rev. 2008;32:777–810.

    Google Scholar 

  53. van den Bos R, Jolles J, van der Knaap L, Baars A, de Visser L. Male and female Wistar rats differ in decision-making performance in a rodent version of the Iowa Gambling Task. Behav Brain Res. 2012;234:375–9.

    Google Scholar 

  54. Becker JB, McClellan ML, Reed BG. Sex differences, gender and addiction. J Neurosci Res. 2017;95:136–47.

    Google Scholar 

Download references

Acknowledgements

This work was supported by the National Research Foundation of Korea funded by the Ministry of Science and ICT (2022R1A4A5033852, RS-2025-00563430, RS-2025-24873007).

Author information

Author notes
  1. Myung Ji Kwak

    Present address: Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA

Authors and Affiliations

  1. Department of Physiology, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea

    Joonyeup Han, Myung Ji Kwak, Wha Young Kim & Jeong-Hoon Kim

  2. Department of Medical Sciences, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea

    Joonyeup Han, Myung Ji Kwak & Jeong-Hoon Kim

Authors
  1. Joonyeup Han
    View author publications

    Search author on:PubMed Google Scholar

  2. Myung Ji Kwak
    View author publications

    Search author on:PubMed Google Scholar

  3. Wha Young Kim
    View author publications

    Search author on:PubMed Google Scholar

  4. Jeong-Hoon Kim
    View author publications

    Search author on:PubMed Google Scholar

Contributions

Joonyeup Han: Writing – original draft, Validation, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Myung Ji Kwak: Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Wha Young Kim: Writing – original draft, Validation, Supervision, Methodology, Investigation, Funding acquisition, Formal analysis, Data curation, Conceptualization, Jeong-Hoon Kim: Writing – original draft, Validation, Supervision, Methodology, Investigation, Funding acquisition, Formal analysis, Data curation, Conceptualization.

Corresponding authors

Correspondence to Wha Young Kim or Jeong-Hoon Kim.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

All animal experiments and methods were performed in accordance with the relevant guidelines and regulations. The experimental protocols were approved by the Institutional Animal Care and Use Committee (IACUC) of Yonsei University College of Medicine (Approval No. A-2023-0176). As this study involved only animal subjects, requirements for informed consent from human participants and consent for publication of identifiable human images are not applicable.

Additional information

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

Supplementary information

Supplemental Material (download PDF )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Han, J., Kwak, M.J., Kim, W.Y. et al. Chemogenetic modulation of the prelimbic cortex to the nucleus accumbens core pathway reduces cocaine-induced increase of risk preference. Transl Psychiatry (2026). https://doi.org/10.1038/s41398-026-04015-4

Download citation

  • Received: 22 June 2025

  • Revised: 23 February 2026

  • Accepted: 24 March 2026

  • Published: 03 April 2026

  • DOI: https://doi.org/10.1038/s41398-026-04015-4

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Collections
  • Sign up for alerts
  • RSS feed

About the journal

  • Journal Information
  • Open Access Publishing
  • About the Editors
  • Contact
  • For Advertisers
  • Calls for Papers
  • Press Releases

Publish with us

  • For Authors & Referees
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Translational Psychiatry (Transl Psychiatry)

ISSN 2158-3188 (online)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited