Abstract
Cocaine use disorder (CUD) has been linked to cortico-striatal dysfunctions, particularly within the prefrontal-striatal circuitry. However, previous studies have typically focused on discrete parcellations of the striatum, overlooking its continuous variations of neural organization. Moreover, while repetitive transcranial magnetic stimulation (rTMS) has shown benefits in CUD treatment, the neural effects of rTMS on striatal dysfunction in CUD remain poorly understood. Using connectome gradient-mapping techniques on three resting-state functional magnetic resonance imaging datasets, we derived the ventromedial-to-dorsolateral striatal functional topography. We identified specific alterations in this topography in the discovery cohort (41 CUD patients and 44 controls), validated findings in an independent cohort (53 CUD patients and 45 controls), and examined whether rTMS targeting the left dorsolateral prefrontal cortex (dlPFC) could normalize abnormalities in the rTMS-treatment cohort (44 patients). Across all datasets, we found a positive correlation between gradient variation and drug dependence severity in CUD. Compared to controls, CUD in both the discovery and replication cohorts exhibited elevated gradient values in the ventral striatum, while decreased values in the dorsal striatum were observed only in the discovery cohort. Furthermore, in the rTMS-treatment cohort, 5-Hz rTMS targeting the left dlPFC significantly normalized the aberrant gradient values in the ventral striatum, and these changes also related to cocaine craving changes. Overall, our study provides novel evidence of specific alterations in the ventromedial-to-dorsolateral functional topography of the striatum in CUD patients and highlights the impact of rTMS on striatal circuits through prefrontal modulation.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 13 print issues and online access
$259.00 per year
only $19.92 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout




Similar content being viewed by others
Data availability
The datasets used in the discovery cohort and rTMS-treatment cohort are publicly available. The SUDMEX-CONN dataset is available from Zenodo (https://zenodo.org/record/5123331). The SUDMEX-TMS dataset is also available from Zenodo (https://zenodo.org/record/7126853). The data of replication cohort supporting the findings of this study are available from the corresponding author upon reasonable request.
References
Peacock A, Leung J, Larney S, Colledge S, Hickman M, Rehm J, et al. Global statistics on alcohol, tobacco and illicit drug use: 2017 status report. Addiction. 2018;113:1905–26.
Vonmoos M, Hulka LM, Preller KH, Minder F, Baumgartner MR, Quednow BB. Cognitive impairment in cocaine users is drug-induced but partially reversible: evidence from a longitudinal study. Neuropsychopharmacology. 2014;39:2200–10.
Potvin S, Stavro K, Rizkallah É, Pelletier J. Cocaine and cognition: a systematic quantitative review. J Addict Med. 2014;8:368–76.
Moeller SJ, Konova AB, Parvaz MA, Tomasi D, Lane RD, Fort C, Goldstein RZ. Functional, structural, and emotional correlates of impaired insight in cocaine addiction. JAMA Psychiatry. 2014;71:61–70.
Wheeler RA, Aragona BJ, Fuhrmann KA, Jones JL, Day JJ, Cacciapaglia F, et al. Cocaine cues drive opposing context-dependent shifts in reward processing and emotional state. Biol Psychiatry. 2011;69:1067–74.
Herrero MJ, Domingo‐Salvany A, Torrens M, Brugal MT.& Investigators, I. Psychiatric comorbidity in young cocaine users: induced versus independent disorders. Addiction. 2008;103:284–93.
Ford JD, Gelernter J, DeVoe JS, Zhang W, Weiss RD, Brady K, et al. Association of psychiatric and substance use disorder comorbidity with cocaine dependence severity and treatment utilization in cocaine-dependent individuals. Drug Alcohol Depend. 2009;99:193–203.
Wen X, Yue L, Du Z, Li L, Zhu Y, Yu D, Yuan K. Implications of neuroimaging findings in addiction. Psychoradiology. 2023;3:006.
Hu Y, Salmeron BJ, Gu H, Stein EA, Yang Y. Impaired functional connectivity within and between frontostriatal circuits and its association with compulsive drug use and trait impulsivity in cocaine addiction. JAMA Psychiatry. 2015;72:584–92.
Zhou F, Zimmermann K, Xin F, Scheele D, Dau W, Banger M, et al. Shifted balance of dorsal versus ventral striatal communication with frontal reward and regulatory regions in cannabis‐dependent males. Hum Brain Mapp. 2018;39:5062–73.
Hu Y, Salmeron BJ, Krasnova IN, Gu H, Lu H, Bonci A, et al. Compulsive drug use is associated with imbalance of orbitofrontal-and prelimbic-striatal circuits in punishment-resistant individuals. Proc Natl Acad Sci. 2019;116:9066–71.
Haber SN. Corticostriatal circuitry. Dialog Clin Neurosci. 2016;18:7–21.
Robbins TW, Gillan CM, Smith DG, de Wit S, Ersche KD. Neurocognitive endophenotypes of impulsivity and compulsivity: towards dimensional psychiatry. Trends Cogn Sci. 2012;16:81–91.
Volkow ND, Wang GJ, Fowler JS, Tomasi D, Telang F. Addiction: beyond dopamine reward circuitry. Proc Natl Acad Sci USA. 2011;108:15037–42. https://doi.org/10.1073/pnas.1010654108
Haber SN, Fudge JL, McFarland NR. Striatonigrostriatal pathways in primates form an ascending spiral from the shell to the dorsolateral striatum. J Neurosci. 2000;20:2369–82.
Gordon EM, Laumann TO, Marek S, Newbold DJ, Hampton JM, Seider NA, et al. Individualized functional subnetworks connect human striatum and frontal cortex. Cereb Cortex. 2022;32:2868–84.
Devan BD, Hong NS, McDonald RJ. Parallel associative processing in the dorsal striatum: Segregation of stimulus–response and cognitive control subregions. Neurobiol Learn Mem. 2011;96:95–120.
Graff-Radford J, Williams L, Jones DT, Benarroch EE. Caudate nucleus as a component of networks controlling behavior. Neurology. 2017;89:2192–7.
Belin D, Jonkman S, Dickinson A, Robbins TW, Everitt BJ. Parallel and interactive learning processes within the basal ganglia: relevance for the understanding of addiction. Behav Brain Res. 2009;199:89–102.
Dalley JW, Fryer TD, Brichard L, Robinson ES, Theobald DE, Lääne K, et al. Nucleus accumbens D2/3 receptors predict trait impulsivity and cocaine reinforcement. science. 2007;315:1267–70.
Gottfried, JA. Neurobiology of sensation and reward. CRC Press: Boca Raton, FL; 2011.
Goldstein RZ, Volkow ND. Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nat Rev Neurosci. 2011;12:652–69.
Zhang S, Li C-SR. Ventral striatal dysfunction in cocaine dependence–difference mapping for subregional resting state functional connectivity. Transl psychiatry. 2018;8:119.
Dong G-H, Dong H, Wang M, Zhang J, Zhou W, Du X, Potenza MN. Dorsal and ventral striatal functional connectivity shifts play a potential role in internet gaming disorder. Commun Biol. 2021;4:866.
Marquand AF, Haak KV, Beckmann CF. Functional corticostriatal connection topographies predict goal-directed behaviour in humans. Nat Hum Behav. 2017;1:0146.
Oldehinkel M, Llera A, Faber M, Huertas I, Buitelaar JK, Bloem BR, et al. Mapping dopaminergic projections in the human brain with resting-state fMRI. Elife. 2022;11:e71846.
Oldehinkel M, Tiego J, Sabaroedin K, Chopra S, Francey SM, O'Donoghue B, et al. Gradients of striatal function in antipsychotic-free first-episode psychosis and schizotypy. Transl Psychiatry. 2023;13:128.
Haber SN. The primate basal ganglia: parallel and integrative networks. J Chem Neuroanat. 2003;26:317–30.
Haak KV, Marquand AF, Beckmann CF. Connectopic mapping with resting-state fMRI. Neuroimage. 2018;170:83–94.
Margulies DS, Ghosh SS, Goulas A, Falkiewicz M, Huntenburg JM, Langs G, et al. Situating the default-mode network along a principal gradient of macroscale cortical organization. Proc Natl Acad Sci. 2016;113:12574–9.
Huntenburg JM, Bazin P-L, Margulies DS. Large-scale gradients in human cortical organization. Trends Cogn Sci. 2018;22:21–31.
Yang S, Meng Y, Li J, Li B, Fan YS, Chen H, Liao W. The thalamic functional gradient and its relationship to structural basis and cognitive relevance. NeuroImage. 2020;218:116960.
Dong D, Luo C, Guell X, Wang Y, He H, Duan M, et al. Compression of cerebellar functional gradients in schizophrenia. Schizophr Bull. 2020;46:1282–95.
Liu X-S, Haak KV, Figa K, Vrijsen JN, Oldehinkel M, Mulders PCR, et al. Childhood adversity predicts striatal functional connectivity gradient changes after acute stress. Imaging Neurosci. 2024;2:1–13.
Pettorruso M, Martinotti G, Santacroce R, Montemitro C, Fanella F, di Giannantonio M, rTMS stimulation g. rTMS reduces psychopathological burden and cocaine consumption in treatment-seeking subjects with cocaine use disorder: an open label, feasibility study. Front Psychiatry. 2019;10:621.
Bolloni C, Panella R, Pedetti M, Frascella AG, Gambelunghe C, Piccoli T, et al. Bilateral transcranial magnetic stimulation of the prefrontal cortex reduces cocaine intake: a pilot study. Front psychiatry. 2016;7:133.
Garza-Villarreal EA, Alcala-Lozano R, Fernandez-Lozano S, Morelos-Santana E, Dávalos A, Villicaña V, et al. Clinical and functional connectivity outcomes of 5-Hz repetitive transcranial magnetic stimulation as an add-on treatment in cocaine use disorder: a double-blind randomized controlled trial. Biol Psychiatry: Cogn Neurosci Neuroimaging. 2021;6:745–57.
Terraneo A, Terraneo A, Leggio L, Saladini M, Ermani M, Bonci A, et al. Transcranial magnetic stimulation of dorsolateral prefrontal cortex reduces cocaine use: A pilot study. Eur Neuropsychopharmacol: J Eur Coll Neuropsychopharmacol. 2016;26:37–44. https://doi.org/10.1016/j.euroneuro.2015.11.011
Diana M, Raij T, Melis M, Nummenmaa A, Leggio L, Bonci A. Rehabilitating the addicted brain with transcranial magnetic stimulation. Nat Rev Neurosci. 2017;18:685–93.
Mehta DD, Praecht A, Ward HB, Sanches M, Sorkhou M, Tang VM, et al. A systematic review and meta-analysis of neuromodulation therapies for substance use disorders. Neuropsychopharmacology. 2024;49:649–80.
Angeles-Valdez D, Rasgado-Toledo J, Issa-Garcia V, Balducci T, Villicaña V, Valencia A, et al. The Mexican magnetic resonance imaging dataset of patients with cocaine use disorder: SUDMEX CONN. Sci Data. 2022;9:133.
Geng X, Geng X, Hu Y, Gu H, Salmeron BJ, Adinoff B, et al. Salience and default mode network dysregulation in chronic cocaine users predict treatment outcome. Brain. 2017;140:1513–24. https://doi.org/10.1093/brain/awx036
Angeles-Valdez D, Rasgado-Toledo J, Villicaña V, Davalos-Guzman A, Almanza C, Fajardo-Valdez A, et al. The Mexican dataset of a repetitive transcranial magnetic stimulation clinical trial on cocaine use disorder patients: SUDMEX TMS. Sci Data. 2024;11:408.
Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, et al. The Mini-International Neuropsychiatric Interview (MINI): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;59:22–33.
Oquendo MA, Baca-Garcia E, Graver R, Morales M, Montalvan V, Mann JJ. Spanish adaptation of the Barratt impulsiveness scale (BIS-11). Eur J Psychiatry. 2001;15:147–155.
Esteban O, Markiewicz CJ, Blair RW, Moodie CA, Isik AI, Erramuzpe A, et al. fMRIPrep: a robust preprocessing pipeline for functional MRI. Nat methods. 2019;16:111–6.
Coifman RR, Lafon S, Lee AB, Maggioni M, Nadler B, Warner F, Zucker SW. Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods. Proc Natl Acad Sci. 2005;102:7432–7.
Guell X, Schmahmann JD, Gabrieli JD, Ghosh SS. Functional gradients of the cerebellum. elife. 2018;7:e36652.
Mano H, Kotecha G, Leibnitz K, Matsubara T, Sprenger C, Nakae A, et al. Classification and characterisation of brain network changes in chronic back pain: a multicenter study. Wellcome Open Res. 2018;3:19.
Smith SM, Nichols TE. Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage. 2009;44:83–98.
Pauli WM, O’Reilly RC, Yarkoni T, Wager TD. Regional specialization within the human striatum for diverse psychological functions. Proc Natl Acad Sci. 2016;113:1907–12.
Yarkoni T, Poldrack RA, Nichols TE, Van Essen DC, Wager TD. Large-scale automated synthesis of human functional neuroimaging data. Nat methods. 2011;8:665–70.
Delgado MR. Reward‐related responses in the human striatum. Ann NY Acad Sci. 2007;1104:70–88.
Everitt BJ, Robbins TW. Drug addiction: updating actions to habits to compulsions ten years on. Annu Rev Psychol. 2016;67:23–50.
Wilcox CE, Teshiba TM, Merideth F, Ling J, Mayer AR. Enhanced cue reactivity and fronto-striatal functional connectivity in cocaine use disorders. Drug alcohol Depend. 2011;115:137–44.
Lench DH, DeVries W, Hanlon CA. The effect of task difficulty on motor performance and frontal-striatal connectivity in cocaine users. Drug alcohol Depend. 2017;173:178–84.
Hanlon CA, Wesley MJ, Stapleton JR, Laurienti PJ, Porrino LJ. The association between frontal–striatal connectivity and sensorimotor control in cocaine users. Drug Alcohol Depend. 2011;115:240–3.
Becker A, Kirsch M, Gerchen MF, Kiefer F, Kirsch P. Striatal activation and frontostriatal connectivity during non‐drug reward anticipation in alcohol dependence. Addict Biol. 2017;22:833–43.
Acikalin MY, Gorgolewski KJ, Poldrack RA. A coordinate-based meta-analysis of overlaps in regional specialization and functional connectivity across subjective value and default mode networks. Front Neurosci. 2017;11:1.
Morein-Zamir S, Simon Jones P, Bullmore ET, Robbins TW, Ersche KD. Prefrontal hypoactivity associated with impaired inhibition in stimulant-dependent individuals but evidence for hyperactivation in their unaffected siblings. Neuropsychopharmacology. 2013;38:1945–53.
Weinstein A, Livny A, Weizman A. Brain imaging studies on the cognitive, pharmacological and neurobiological effects of cannabis in humans: evidence from studies of adult users. Curr Pharm Des. 2016;22:6366–79.
Wrege J, Schmidt A, Walter A, Smieskova R, Bendfeldt K, Radue EW, et al. Effects of cannabis on impulsivity: a systematic review of neuroimaging findings. Curr Pharm Des. 2014;20:2126–37.
Yanes JA, Riedel MC, Ray KL, Kirkland AE, Bird RT, Boeving ER, et al. Neuroimaging meta-analysis of cannabis use studies reveals convergent functional alterations in brain regions supporting cognitive control and reward processing. J Psychopharmacol. 2018;32:283–95.
Camprodon JA, Martínez-Raga J, Alonso-Alonso M, Shih M-C, Pascual-Leone A. One session of high frequency repetitive transcranial magnetic stimulation (rTMS) to the right prefrontal cortex transiently reduces cocaine craving. Drug Alcohol Depend. 2007;86:91–94.
Politi E, Fauci E, Santoro A, Smeraldi E. Daily sessions of transcranial magnetic stimulation to the left prefrontal cortex gradually reduce cocaine craving. Am J Addict. 2008;17:345–6.
Lolli F, Salimova M, Scarpino M, Lanzo G, Cossu C, Bastianelli M, et al. A randomised, double-blind, sham-controlled study of left prefrontal cortex 15 Hz repetitive transcranial magnetic stimulation in cocaine consumption and craving. Plos One. 2021;16:e0259860.
Martinez D, Urban N, Grassetti A, Chang D, Hu MC, Zangen A, et al. Transcranial magnetic stimulation of medial prefrontal and cingulate cortices reduces cocaine self-administration: a pilot study. Front Psychiatry. 2018;9:80.
Martinotti G, Pettorruso M, Montemitro C, Spagnolo PA, Acuti Martellucci C, Di Carlo F, et al. Repetitive transcranial magnetic stimulation in treatment-seeking subjects with cocaine use disorder: a randomized, double-blind, sham-controlled trial. Prog Neuro-Psychopharmacol Biol Psychiatry. 2022;116:110513.
Rapinesi C, Del Casale A, Di Pietro S, Ferri VR, Piacentino D, Sani G, et al. Add-on high frequency deep transcranial magnetic stimulation (dTMS) to bilateral prefrontal cortex reduces cocaine craving in patients with cocaine use disorder. Neurosci Lett. 2016;629:43–47.
Sanna A, Fattore L, Badas P, Corona G, Cocco V, Diana M. Intermittent theta burst stimulation of the prefrontal cortex in cocaine use disorder: a pilot study. Front Neurosci. 2019;13:765.
Steele VR, Maxwell AM, Ross TJ, Stein EA, Salmeron BJ. Accelerated intermittent theta-burst stimulation as a treatment for cocaine use disorder: a proof-of-concept study. Front Neurosci. 2019;13:1147.
Strafella AP, Paus T, Fraraccio M, Dagher A. Striatal dopamine release induced by repetitive transcranial magnetic stimulation of the human motor cortex. Brain. 2003;126:2609–15.
Hanlon CA, Dowdle LT, Moss H, Canterberry M, George MS. Mobilization of medial and lateral frontal-striatal circuits in cocaine users and controls: an interleaved TMS/BOLD functional connectivity study. Neuropsychopharmacology. 2016;41:3032–41.
Lee JH, Ribeiro EA, Kim J, Ko B, Kronman H, Jeong YH, et al. Dopaminergic regulation of nucleus accumbens cholinergic interneurons demarcates susceptibility to cocaine addiction. Biol psychiatry. 2020;88:746–57.
Carr DB, Sesack SR. Projections from the rat prefrontal cortex to the ventral tegmental area: target specificity in the synaptic associations with mesoaccumbens and mesocortical neurons. J Neurosci. 2000;20:3864–73.
Diana M. The dopamine hypothesis of drug addiction and its potential therapeutic value. Front Psychiatry. 2011;2:64.
Strafella AP, Paus T, Barrett J, Dagher A. Repetitive transcranial magnetic stimulation of the human prefrontal cortex induces dopamine release in the caudate nucleus. J Neurosci. 2001;21:RC157.
Pettorruso M, di Giannantonio M, De Risio L, Martinotti G, Koob GF. A light in the darkness: repetitive transcranial magnetic stimulation (rTMS) to treat the hedonic dysregulation of addiction. J Addict Med. 2020;14:272–4.
Bickel WK, Snider SE, Quisenberry AJ, Stein JS, Hanlon CA. Competing neurobehavioral decision systems theory of cocaine addiction: from mechanisms to therapeutic opportunities. Prog Brain Res. 2016;223:269–93.
Bickel WK, Miller ML, Yi R, Kowal BP, Lindquist DM, Pitcock JA. Behavioral and neuroeconomics of drug addiction: competing neural systems and temporal discounting processes. Drug Alcohol Depend. 2007;90:S85–S91.
Acknowledgements
We thank E.A.G.-V. and colleagues for sharing data included in the discovery and rTMS-treatment cohorts. This work was partly supported by the National Natural Science Foundation of China (grant no. 31972906 to QH), and the Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning (grant no. CNLZD2102 to QH). XX and YY were supported by the Intramural Research Program of National Institute on Drug Abuse, National Institutes of Health, USA.
Author information
Authors and Affiliations
Contributions
RZ, and QH conceptualized and designed the work. RZ, and TZ preprocessed the data. RZ, and XX performed data analysis. RZ, XX, YH, YY and QH were responsible for the interpretation of the data. DD, TX, FZ, and YQ provided important suggestions during the formal analysis. RZ drafted the manuscript. DD and FZ provided suggestions during manuscript writing. YH, YY, and QH revised the paper. QH supervised the project.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
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.
About this article
Cite this article
Zhang, R., Xiao, X., Dong, D. et al. Abnormal ventromedial-to-dorsolateral hierarchical topography of striatal circuits in cocaine use disorder and its modulations by brain stimulation. Neuropsychopharmacol. 50, 1354–1363 (2025). https://doi.org/10.1038/s41386-025-02098-z
Received:
Revised:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41386-025-02098-z


