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Reward circuit function and treatment outcome following vALIC deep brain stimulation in treatment-resistant depression

Abstract

Depression is associated with abnormal functioning of the reward circuit. Several deep brain stimulation (DBS) targets for treatment-resistant depression (TRD) directly modulate white matter bundles of the reward circuit. Here we investigated whether baseline reward processing in the brain is associated with ventral anterior limb of the internal capsule (vALIC) DBS outcome and whether vALIC DBS changes neural activity in the reward circuit. We studied fifteen patients with TRD who performed a monetary reward task during functional magnetic resonance imaging (fMRI) before vALIC DBS surgery, after DBS parameter optimization, and during a sham-controlled crossover phase. DBS devices were switched off during scanning for MRI safety reasons. Additionally, fifteen matched healthy controls were investigated twice to account for test-retest effects. We investigated brain responses to reward anticipation, loss anticipation, reward feedback and loss feedback. Results showed that lower baseline nucleus accumbens activation during loss anticipation and higher baseline caudate nucleus and midcingulate cortex activation during reward feedback processing were associated with worse DBS outcome. No significant changes in reward processing were observed following vALIC DBS in comparison to healthy controls or after active compared to sham stimulation. Instead, increased middle frontal gyrus responses following DBS to loss feedback was associated with better DBS outcome. These results suggest that DBS efficacy in TRD is related to individual differences in reward circuit functioning at baseline and to changes in middle frontal gyrus responses following DBS.

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Fig. 1: Negative association between nucleus accumbens response during loss anticipation at baseline and DBS outcome.
Fig. 2: Positive association between right midcingulate response to reward feedback at baseline and DBS outcome.
Fig. 3: Positive association between right caudate nucleus response to reward feedback at baseline and DBS outcome.
Fig. 4: Association between longitudinal changes in the left middle frontal gyrus response to loss feedback and DBS outcome.

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Data availability

De-identified participant data are available from the corresponding authors upon reasonable request and following completion of a signed data access agreement.

References

  1. Gaynes BN, Lux L, Gartlehner G, Asher G, Forman‐Hoffman V, Green J, et al. Defining treatment‐resistant depression. Depress Anxiety. 2020;37:134–45.

    Article  PubMed  Google Scholar 

  2. Bergfeld IO, Figee M. Deep Brain Stimulation for Depression. Fundamentals and Clinics of Deep Brain Stimulation. Springer; 2020. p. 279–90.

    Chapter  Google Scholar 

  3. Coenen VA, Schlaepfer TE, Goll P, Reinacher PC, Voderholzer U, Van Elst LT, et al. The medial forebrain bundle as a target for deep brain stimulation for obsessive-compulsive disorder. CNS Spectr. 2017;22:282–9.

    Article  PubMed  Google Scholar 

  4. Coenen VA, Schlaepfer TE, Maedler B, Panksepp J. Cross-species affective functions of the medial forebrain bundle—Implications for the treatment of affective pain and depression in humans. Neurosci Biobehav Rev. 2011;35:1971–81.

    Article  PubMed  Google Scholar 

  5. Coenen VA, Schlaepfer TE, Sajonz B, Döbrössy M, Kaller CP, Urbach H, Reisert M. Tractographic description of major subcortical projection pathways passing the anterior limb of the internal capsule. Corticopetal organization of networks relevant for psychiatric disorders. NeuroImage: Clinical. 2020;25:102165.

    Article  PubMed  Google Scholar 

  6. Dillon DG, Gonenc A, Belleau E, Pizzagalli DA. Depression is associated with dimensional and categorical effects on white matter pathways. Depress Anxiety. 2018;35:440–7.

    Article  PubMed  Google Scholar 

  7. Henderson SE, Johnson AR, Vallejo AI, Katz L, Wong E, Gabbay V. A preliminary study of white matter in adolescent depression: relationships with illness severity, anhedonia, and irritability. Front Psychiatry. 2013;4:152.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Höflich A, Michenthaler P, Kasper S, Lanzenberger R. Circuit mechanisms of reward, anhedonia, and depression. Int J Neuropsychopharmacol. 2019;22:105–18.

    Article  PubMed  Google Scholar 

  9. Figee M, Luigjes J, Smolders R, Valencia-Alfonso C-E, Van Wingen G, De Kwaasteniet B, et al. Deep brain stimulation restores frontostriatal network activity in obsessive-compulsive disorder. Nat Neurosci. 2013;16:386–7.

    Article  CAS  PubMed  Google Scholar 

  10. Park HR, Kim IH, Kang H, McCairn KW, Lee DS, Kim B-N, et al. Electrophysiological and imaging evidence of sustained inhibition in limbic and frontal networks following deep brain stimulation for treatment refractory obsessive compulsive disorder. PLoS ONE. 2019;14:e0219578.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Runia N, Bergfeld IO, de Kwaasteniet BP, Luigjes J, van Laarhoven J, Notten P, et al. Deep brain stimulation normalizes amygdala responsivity in treatment-resistant depression. Mol Psychiatry. 2023;28:2500–7.

    Article  PubMed  Google Scholar 

  12. Schlaepfer TE, Bewernick BH, Kayser S, Hurlemann R, Coenen VA. Deep brain stimulation of the human reward system for major depression—rationale, outcomes and outlook. Neuropsychopharmacology. 2014;39:1303–14.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Bergfeld IO, Mantione M, Hoogendoorn ML, Ruhé HG, Notten P, van Laarhoven J, et al. Deep brain stimulation of the ventral anterior limb of the internal capsule for treatment-resistant depression: a randomized clinical trial. JAMA Psychiatry. 2016;73:456–64.

    Article  PubMed  Google Scholar 

  14. Gutman DA, Holtzheimer PE, Behrens TE, Johansen-Berg H, Mayberg HS. A tractography analysis of two deep brain stimulation white matter targets for depression. Biol Psychiatry. 2009;65:276–82.

    Article  PubMed  Google Scholar 

  15. Bayassi-Jakowicka M, Lietzau G, Czuba E, Steliga A, Waśkow M, Kowiański P. Neuroplasticity and multilevel system of connections determine the integrative role of nucleus accumbens in the brain reward system. Int J Mol Sci. 2021;22:9806.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Liu R, Wang Y, Chen X, Zhang Z, Xiao L, Zhou Y. Anhedonia correlates with functional connectivity of the nucleus accumbens subregions in patients with major depressive disorder. NeuroImage: Clinical. 2021;30:102599.

    Article  PubMed  Google Scholar 

  17. Yang X, Su Y, Yang F, Song Y, Yan J, Luo Y, Zeng J. Neurofunctional mapping of reward anticipation and outcome for major depressive disorder: a voxel-based meta-analysis. Psychol Med. 2022;52:3309–22.

    Article  Google Scholar 

  18. Zhou B, Chen Y, Zheng R, Jiang Y, Li S, Wei Y, et al. Alterations of static and dynamic functional connectivity of the Nucleus Accumbens in patients with Major Depressive Disorder. Front Psychiatry. 2022;13:877417.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Knutson B, Adams CM, Fong GW, Hommer D. Anticipation of increasing monetary reward selectively recruits nucleus accumbens. J Neurosci. 2001;21:RC159-RC.

    Article  Google Scholar 

  20. Knutson B, Fong GW, Adams CM, Varner JL, Hommer D. Dissociation of reward anticipation and outcome with event-related fMRI. Neuroreport. 2001;12:3683–7.

    Article  CAS  PubMed  Google Scholar 

  21. Knutson B, Westdorp A, Kaiser E, Hommer D. FMRI visualization of brain activity during a monetary incentive delay task. Neuroimage. 2000;12:20–7.

    Article  CAS  PubMed  Google Scholar 

  22. Esteban O, Birman D, Schaer M, Koyejo OO, Poldrack RA, Gorgolewski KJ. MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites. PLoS ONE. 2017;12:e0184661.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Rolls ET, Huang C-C, Lin C-P, Feng J, Joliot M. Automated anatomical labelling atlas 3. Neuroimage. 2020;206:116189.

    Article  PubMed  Google Scholar 

  24. Guillaume B, Hua X, Thompson PM, Waldorp L, Nichols TE. Initiative AsDN. Fast and accurate modelling of longitudinal and repeated measures neuroimaging data. Neuroimage. 2014;94:287–302.

    Article  PubMed  Google Scholar 

  25. Balleine BW, Delgado MR, Hikosaka O. The role of the dorsal striatum in reward and decision-making. J Neurosci. 2007;27:8161–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Burton AC, Nakamura K, Roesch MR. From ventral-medial to dorsal-lateral striatum: neural correlates of reward-guided decision-making. Neurobiol Learn Mem. 2015;117:51–9.

    Article  PubMed  Google Scholar 

  27. Vogt BA. Midcingulate cortex: structure, connections, homologies, functions and diseases. J Chem Neuroanat. 2016;74:28–46.

    Article  CAS  PubMed  Google Scholar 

  28. Amiri S, Arbabi M, Kazemi K, Parvaresh-Rizi M, Mirbagheri MM. Characterization of brain functional connectivity in treatment-resistant depression. Prog Neuro-Psychopharmacol Biol Psychiatry. 2021;111:110346.

    Article  Google Scholar 

  29. Sun J, Ma Y, Guo C, Du Z, Chen L, Wang Z, et al. Distinct patterns of functional brain network integration between treatment-resistant depression and non treatment-resistant depression: a resting-state functional magnetic resonance imaging study. Prog Neuro-Psychopharmacol Biol Psychiatry. 2023;120:110621.

    Article  Google Scholar 

  30. Wu QZ, Li DM, Kuang WH, Zhang TJ, Lui S, Huang XQ, et al. Abnormal regional spontaneous neural activity in treatment‐refractory depression revealed by resting‐state fMRI. Hum Brain Mapp. 2011;32:1290–9.

    Article  PubMed  Google Scholar 

  31. Pizzagalli DA, Holmes AJ, Dillon DG, Goetz EL, Birk JL, Bogdan R, et al. Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder. Am J Psychiatry. 2009;166:702–10.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Wacker J, Dillon DG, Pizzagalli DA. The role of the nucleus accumbens and rostral anterior cingulate cortex in anhedonia: integration of resting EEG, fMRI, and volumetric techniques. Neuroimage. 2009;46:327–37.

    Article  PubMed  Google Scholar 

  33. Zhang W-N, Chang S-H, Guo L-Y, Zhang K-L, Wang J. The neural correlates of reward-related processing in major depressive disorder: a meta-analysis of functional magnetic resonance imaging studies. J Affect Disord. 2013;151:531–9.

    Article  PubMed  Google Scholar 

  34. Dugré JR, Dumais A, Bitar N, Potvin S. Loss anticipation and outcome during the Monetary Incentive Delay Task: a neuroimaging systematic review and meta-analysis. PeerJ. 2018;6:e4749.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Knutson B, Bhanji JP, Cooney RE, Atlas LY, Gotlib IH. Neural responses to monetary incentives in major depression. Biol Psychiatry. 2008;63:686–92.

    Article  PubMed  Google Scholar 

  36. Liu X, Hou Z, Yin Y, Xie C, Zhang H, Zhang H, et al. CACNA1C gene rs11832738 polymorphism influences depression severity by modulating spontaneous activity in the right middle frontal gyrus in patients with major depressive disorder. Front Psychiatry. 2020;11:73.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Pommier B, Vassal F, Boutet C, Jeannin S, Peyron R, Faillenot I. Easy methods to make the neuronavigated targeting of DLPFC accurate and routinely accessible for rTMS. Neurophysiol Clinique/Clinical Neurophysiol. 2017;47:35–46.

    Article  Google Scholar 

  38. Misaki M, Suzuki H, Savitz J, Drevets WC, Bodurka J. Individual variations in nucleus accumbens responses associated with major depressive disorder symptoms. Sci Rep. 2016;6:21227.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Turner BO, Paul EJ, Miller MB, Barbey AK. Small sample sizes reduce the replicability of task-based fMRI studies. Commun Biol. 2018;1:62.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This investigator-initiated study was funded by Medtronic Inc (25 DBS systems, in kind) and a research grant from ZonMw (nr. 171201008).

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Contributions

NR and LM contributed equally to this work. NR and LM conceptualized the study together with GW. Methodology was developed by NR, LM, and GW. Formal analyses were conducted by NR and LM. Investigation was carried out by all authors (NR, LM, CS, IB, BK, JL, JvL, PN, GB, PM, RS, DD, and GW). NR and LM prepared the original draft and visualizations. Supervision was provided by DD, IB, and GW. All authors (NR, LM, CS, IB, BK, JL, JvL, PN, GB, PM, RS, DD, and GW) reviewed and edited the manuscript and approved the final version.

Corresponding authors

Correspondence to N. Runia, L. A. van de Mortel or G. A. van Wingen.

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Competing interests

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: This investigator-initiated study was funded by Medtronic Inc (25 DBS systems, in kind) and a grant from ZonMw (nr. 171201008). The funders had no role in the design, execution, and analysis of the study, nor in writing of the manuscript or the decision to publish. Nora Runia, Isidoor Bergfeld, Pepijn van den Munckhof, P. Richard Schuurman, Damiaan Denys, and Guido van Wingen currently execute an investigator-initiated clinical trial on deep brain stimulation for depression, which is funded by Boston Scientific (24 DBS systems in kind) and a grant of ZonMw (nr. 636310016). P. Richard Schuurman acts as consultant for Boston Scientific and Medtronic on educational events. All other authors do not declare any conflicts of interest.

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Runia, N., van de Mortel, L.A., Smith, C.L.C. et al. Reward circuit function and treatment outcome following vALIC deep brain stimulation in treatment-resistant depression. Mol Psychiatry 31, 209–216 (2026). https://doi.org/10.1038/s41380-025-03284-7

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