A Scoping Review: Neuromodulation in Consumer Buying Behaviour – Mapping the Emerging Landscape

Background: Neuromarketing has emerged as a field that applies neuroscience tools to understand consumer decision-making. However, the concept of neuromodulation – the targeted alteration of neural activity through external stimuli – represents a distinct and potentially more powerful paradigm for influencing consumer behavior at a neurophysiological level.
Objective: To systematically map the existing literature on neuromodulation techniques applied to consumer buying behavior, identify the range of neuromodulatory interventions studied, critically appraise the evidence quality, and establish a research agenda for this emerging field.
Methods: A scoping review was conducted following the Arksey and O'Malley framework and PRISMA-ScR guidelines. A systematic search was performed across PubMed, Scopus, Google Scholar, and Web of Science from inception to March 2026. The Mixed Methods Appraisal Tool (MMAT) was used for quality assessment of included studies.
Results: Of 98 records identified, 21 studies met inclusion criteria. Quality assessment revealed that 62% of studies were of moderate to high quality, with case series and proof-of-concept studies dominating the evidence base. The evidence mapped across three primary neuromodulatory approaches: 1) Caloric Vestibular Stimulation (CVS) demonstrating reduced purchase probability via insular cortex modulation; 2) Transcranial Magnetic Stimulation (TMS) affecting valuation and preference formation in prefrontal regions; 3) Transcranial Direct Current Stimulation (tDCS) with emerging evidence for consumer choice modulation. Critical gap: The majority of studies focus on measurement (neuromarketing) rather than modulation (neuromodulation), with only CVS studies directly testing causal neuromodulatory effects on buying decisions.
Conclusion: Neuromodulation of consumer behavior is an emerging but underdeveloped field. Caloric vestibular stimulation provides proof-of-concept that non-invasive brain stimulation can causally affect purchase decisions. Future research should prioritize replication studies, exploration of tDCS applications, and development of ethical frameworks.

Neuromodulation, Consumer buying behavior

1. Morin, C. (2011). Neuromarketing: the new science of consumer behavior. Society, 48(2), 131–135. [Google Scholar] [Crossref]

2. Smidts, A. (2002). Kijken in het brein: Over de mogelijkheden van neuromarketing. Maandblad voor Accountancy en Bedrijfseconomie, 76(10), 485–492. [Google Scholar] [Crossref]

3. Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., & Loewenstein, G. (2007). Neural predictors of purchases. Neuron, 53(1), 147–156. [Google Scholar] [Crossref]

4. Kringelbach, M. L., & Berridge, K. C. (2010). The neuroscience of happiness and pleasure. Social Research, 77(2), 659–678. [Google Scholar] [Crossref]

5. Arksey, H., & O’Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. [Google Scholar] [Crossref]

6. Tricco, A. C., Lillie, E., Zarin, W., et al. (2018). PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and explanation. Annals of Internal Medicine, 169(7), 467–473. [Google Scholar] [Crossref]

7. Hong, Q. N., Fàbregues, S., Bartlett, G., et al. (2018). The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Education for Information, 34(4), 285–291. [Google Scholar] [Crossref]

8. Preuss, N., Mast, F. W., & Hasler, G. (2014). Purchase decision-making is modulated by vestibular stimulation. Frontiers in Behavioral Neuroscience, 8, 51. [Google Scholar] [Crossref]

9. Camus, M., Halelamien, N., Plassmann, H., Shimojo, S., O’Doherty, J., Camerer, C., & Rangel, A. (2009). Repetitive transcranial magnetic stimulation over the right dorsolateral prefrontal cortex decreases valuations during food choices. European Journal of Neuroscience, 30(10), 1980–1988. [Google Scholar] [Crossref]

10. Fecteau, S., Knoch, D., Fregni, F., Sultani, N., Boggio, P., & Pascual-Leone, A. (2007). Diminishing risk-taking behavior by modulating activity in the prefrontal cortex: a direct current stimulation study. Journal of Neuroscience, 27(46), 12500–12505. [Google Scholar] [Crossref]

11. Mashrur, F. R., Rahman, K. M., Miya, M. T. I., Vaidyanathan, R., Anwar, S. F., Sarker, F., & Mamun, K. A. (2023). Intelligent neuromarketing framework for consumers' preference prediction from electroencephalography signals and eye tracking. Journal of Consumer Behaviour. [Google Scholar] [Crossref]

12. Dayan, P., & Niv, Y. (2008). Reinforcement learning: The good, the bad and the ugly. Current Opinion in Neurobiology, 18(2), 185–196. [Google Scholar] [Crossref]

13. He, Q., Chen, M., Chen, C., & Dong, G. (2016). Transcranial direct current stimulation over the dorsolateral prefrontal cortex modulates delay discounting. Frontiers in Psychology, 7, 1900. [Google Scholar] [Crossref]

14. Ye, H., Chen, S., Huang, D., Wang, S., & Luo, J. (2015). Modulating activity in the dorsolateral prefrontal cortex changes risk-taking. Neuroscience Letters, 588, 52–57. [Google Scholar] [Crossref]

15. Gupta, R., Kapoor, A. P., & Verma, H. V. (2025). Neuro-insights: A systematic review of neuromarketing perspectives across consumer buying stages. Frontiers in Neuroergonomics, 6, 1542847. [Google Scholar] [Crossref]

16. Khondakar, M. F. K., Sarowar, M. H., Chowdhury, M. H., Majumder, S., Hossain, M. A., Dewan, M. A. A., & Hossain, Q. D. (2024). A systematic review on EEG-based neuromarketing: Recent trends and analyzing techniques. Brain Informatics, 11(1), 17–25. [Google Scholar] [Crossref]

17. Kamali, P. (2025). Neuromarketing across the consumer journey: A comprehensive review of tools, neural correlates, and marketing mix applications. International Journal of Economics & Business Administration, XIII(4), 138–163. [Google Scholar] [Crossref]

18. Murphy, E. R., Illes, J., & Reiner, P. B. (2008). Neuroethics of neuromarketing. Journal of Consumer Behaviour, 7(4–5), 293–302. [Google Scholar] [Crossref]

19. Levy, N. (2017). Neuromarketing: Ethical implications of its use and potential misuse. Journal of Consumer Policy, 40(4), 431–450. [Google Scholar] [Crossref]

20. Clausen, J. (2009). Man, machine and in between. Nature, 457(7233), 1080–1081. [Google Scholar] [Crossref]

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