Mapping Protocols and Evidence on Combined EEG Neurofeedback and Meditation: A Systematic Review
DOI:
https://doi.org/10.15540/nr.13.2.154Keywords:
Neurofeedback, meditation, Mindfulness, electroencephalography, Brain Computer Interface (BCI)Abstract
Background. The combination of meditation and EEG neurofeedback has gained attention as a nonpharmacological approach for emotion regulation, stress reduction, and cognitive enhancement. Methods. This systematic review, registered in PROSPERO (CRD42024554716) and conducted in accordance with PRISMA guidelines, aimed to map methodologies, protocols, and evidence on these combined interventions. Experimental or quasi-experimental empirical studies involving human participants across ages and contexts, published between 2015 and 2025, were included. Searches across six databases yielded 356 records; 45 met eligibility criteria. Results. Studies showed substantial methodological heterogeneity, with a predominance of randomized clinical trials (44%) and within-subject designs (33%). Focused attention and mindfulness meditations and auditory feedback prevailed; wearable devices were used in 35 studies. Intervention dose varied widely, from 1 to 50+ sessions, ranging from 1.5 to 80 min long. Primary outcomes consistently showed reductions in stress, anxiety, depression, and fatigue, alongside gains in well-being, attention, and resilience. Neurophysiological findings included increases in alpha and theta power. Conclusions. Combining meditation with EEG neurofeedback is a promising strategy, but the lack of protocol standardization, small sample sizes, and limited blinding reduce evidence robustness. Future research with rigorous methodology is needed to establish clinical efficacy and guide interventions.
References
Acabchuk, R. L., Simon, M. A., Low, S., Brisson, J. M., & Johnson, B. T. (2021). Measuring meditation progress with a consumer-grade EEG device: Caution from a randomized controlled trial. Mindfulness, 12(1), 68–81. https://doi.org/10.1007/s12671-020-01497-1
Aguilar-Raab, C., Stoffel, M., Hernández, C., Rahn, S., Moessner, M., Steinhilber, B., & Ditzen, B. (2021). Effects of a mindfulness-based intervention on mindfulness, stress, salivary alpha-amylase and cortisol in everyday life. Psychophysiology, 58(12), Article e13937. https://doi.org/10.1111/psyp.13937
Antle, A. N., Chesick, L., Sridharan, S. K., & Cramer, E. (2018). East meets west: A mobile brain-computer system that helps children living in poverty learn to self-regulate. Personal and Ubiquitous Computing, 22(4), 839–866. https://doi.org/10.1007/s00779-018-1166-x
Aristizabal, J. P., Pereira, A. Jr., Gomes, B. D., Goulart, P. R. K., de Souza, W. C., & Rocha, F. A. (2024). Neurofeedback beta down training in women with high state-trait anxiety and elevated beta patterns in temporal lobes: A pilot study. NeuroRegulation, 11(3), 284–295. https://doi.org/10.15540/nr.11.3.284
Arns, M., Clark, C. R., Trullinger, M., deBeus, R., Mack, M., & Aniftos, M. (2020). Neurofeedback and attention-deficit/hyperactivity-disorder (ADHD) in children: Rating the evidence and proposed guidelines. Applied Psychophysiology and Biofeedback, 45(2), 39–48. https://doi.org/10.1007/s10484-020-09455-2
Baer, R. A., Smith, G. T., Hopkins, J., Krietemeyer, J., & Toney, L. (2006). Using self-report assessment methods to explore facets of mindfulness. Assessment, 13(1), 27–45. https://doi.org/10.1177/1073191105283504
Balconi, M., Fronda, G., & Crivelli, D. (2019). Effects of technology-mediated mindfulness practice on stress: Psychophysiological and self-report measures. Stress, 22(2), 200–209. https://doi.org/10.1080/10253890.2018.1531845
Balconi, M., Fronda, G., Venturella, I., & Crivelli, D. (2017). Conscious, pre-conscious and unconscious mechanisms in emotional behaviour. Some applications to the mindfulness approach with wearable devices. Applied Sciences, 7(12), 1280. https://doi.org/10.3390/app7121280
Basso, J. C., McHale, A., Ende, V. J., Ende, V., Oberlin, D. J., & Suzuki, W. A. (2019). Brief, daily meditation enhances attention, memory, mood, and emotional regulation in non-experienced meditators. Behavioural Brain Research, 356, 208–220. https://doi.org/10.1016/j.bbr.2018.08.023
Beck, A. T., Epstein, N. B., Brown, G., & Steer, R. A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56(6), 893–897. https://doi.org/10.1037/0022-006x.56.6.893
Bhayee, S., Tomaszewski, P., Lee, D. H., Moffat, G., Pino, L., Moreno, S., & Farb, N. A. S. (2016). Attentional and affective consequences of technology supported mindfulness training: A randomised, active control, efficacy trial. BMC Psychology, 4(1), Article 60. https://doi.org/10.1186/s40359-016-0168-6
Bielas, J., & Michalczyk, Ł. (2021). Beta neurofeedback training improves attentional control in the elderly. Psychological Reports, 124(1), 54–69. https://doi.org/10.1177/0033294119900348
Boxmeyer, C. L., Stager, C. G., Miller, S., Lochman, J. E., Romero, D. E., Powell, N. P., Bui, C., & Qu, L. (2023). Mindful coping power effects on children’s autonomic nervous system functioning and long-term behavioral outcomes. Journal of Clinical Medicine, 12(11), Article 3621. https://doi.org/10.3390/jcm12113621
Brandmeyer, T., & Delorme, A. (2013). Meditation and neurofeedback. Frontiers in Psychology, 4, Article 688. https://doi.org/10.3389/fpsyg.2013.00688
Brandmeyer, T., & Delorme, A. (2018). Reduced mind wandering in experienced meditators and associated EEG correlates. Experimental Brain Research, 236(9), 2519–2528. https://doi.org/10.1007/s00221-016-4811-5
Brandmeyer, T., & Delorme, A. (2020). Closed-loop frontal midlineθ neurofeedback: A novel approach for training focused-attention meditation. Frontiers in Human Neuroscience, 14, Article 246. https://doi.org/10.3389/fnhum.2020.00246
Brandmeyer, T., Delorme, A., & Wahbeh, H. (2019). The neuroscience of meditation: Classification, phenomenology, correlates, and mechanisms. Progress in Brain Research, 244, 1–29. https://doi.org/10.1016/bs.pbr.2018.10.020
Buric, I., Farias, M., Driessen, J. M. A., & Brazil, I. A. (2022). Individual differences in meditation interventions: A meta‐analytic study. British Journal of Health Psychology, 27(3), 1043–1076. https://doi.org/10.1111/bjhp.12589
Butnik, S. M. (2005). Neurofeedback in adolescents and adults with attention deficit hyperactivity disorder. Journal of Clinical Psychology, 61(5), 621–625. https://doi.org/10.1002/jclp.20124
Cahn, B. R., & Polich, J. (2006). Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychological Bulletin, 132(2), 180–211. https://doi.org/10.1037/0033-2909.132.2.180
Cantor, D. S. (2009). An overview of quantitative EEG and Its applications to neurofeedback. In T. H. Budzynski, H. K. Budzynski, J. R. Evans, & A. Abarbanel (Eds.), Introduction to quantitative EEG and neurofeedback (2nd ed., pp. 3–27). https://doi.org/10.1016/b978-012243790-8/50002-x
Chen, C., Xiao, X., Belkacem, A. N., Lu, L., Wang, X., Yi, W., Li, P., Wang, C., Sha, S., Zhao, X., & Ming, D. (2021). Efficacy evaluation of neurofeedback-based anxiety relief. Frontiers in Neuroscience, 15, Article 758068. https://doi.org/10.3389/fnins.2021.758068
Chiu, C.-H., Chou, F. H.-C., Wu, H.-C., Ko, C.-H., Tsai, M.-C., Tsai, J.-K., Hsu, C.-Y., Chung, K.-S., Lu, Y.-S., & Li, D.-J. (2024). Factors associated with neurofeedback and mindfulness-based combination therapy for patients with substance use disorder: A multicenter study. The European Journal of Psychiatry, 38(2), Article 100245. https://doi.org/10.1016/j.ejpsy.2023.100245
Choi, Y.-J., Cho, D.-H., & Lee, N.-R. (2024). Feasibility of a mobile app for traumatic stress management using neurofeedback-based meditation and binaural beat music: A pilot randomized controlled trial. Digital Health, 10. https://doi.org/10.1177/20552076241308986
Christian, D. D., Brown, C. L., Smarinsky, E. C., Popejoy, E. K., & Boykin, A. A. (2024). Reducing student anxiety using neurofeedback‐assisted mindfulness: A quasi‐experimental single‐case design. Journal of Counseling & Development, 102(3), 318–333. https://doi.org/10.1002/jcad.12516
Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396. https://doi.org/10.2307/2136404
Conners, C. K. (1995). Conners’ continuous performance test. Multi-Health Systems.
Crivelli, D., Fronda, G., & Balconi, M. (2019). Neurocognitive enhancement effects of combined mindfulness–Neurofeedback training in sport. Neuroscience, 412, 83–93. https://doi.org/10.1016/j.neuroscience.2019.05.066
Crivelli, D., Fronda, G., Venturella, I., & Balconi, M. (2019a). Stress and neurocognitive efficiency in managerial contexts: A study on technology-mediated mindfulness practice. International Journal of Workplace Health Management, 12(2), 42–56. https://doi.org/10.1108/IJWHM-07-2018-0095
Crivelli, D., Fronda, G., Venturella, I., & Balconi, M. (2019b). Supporting mindfulness practices with brain-sensing devices. Cognitive and electrophysiological evidences. Mindfulness, 10(2), 301–311. https://doi.org/10.1007/s12671-018-0975-3
Davidson, R. J., & Goleman, D. (1977). The role of attention in meditation and hypnosis: A psychobiological perspective on transformations of consciousness. International Journal of Clinical and Experimental Hypnosis, 25(4), 291–308. https://doi.org/10.1080/00207147708415986
Dobrakowski, P., Blaszkiewicz, M., & Skalski, S. (2020). Changes in the electrical activity of the brain in the alpha and theta bands during prayer and meditation. International Journal of Environmental Research and Public Health, 17(24), Article 9567. https://doi.org/10.3390/ijerph17249567
Domingos, C., Peralta, M., Prazeres, P., Nan, W., Rosa, A., & Pereira, J. G. (2021). Session frequency matters in neurofeedback training of athletes. Applied Psychophysiology and Biofeedback, 46(2), 195–204. https://doi.org/10.1007/s10484-021-09505-3
Dunham, C. M., Burger, A. L., Hileman, B. M., Chance, E. A., Hutchinson, A. E., Kohli, C. M., DeNiro, L., Tall, J. M., & Lisko, P. (2019). Brainwave self-regulation during bispectral indextm neurofeedback in trauma center nurses and physicians after receiving mindfulness instructions. Frontiers in Psychology, 10, Article 2153. https://doi.org/10.3389/fpsyg.2019.02153
Esteves, I., Nan, W., Alves, C., Calapez, A., Melício, F., & Rosa, A. (2021). An exploratory study of training intensity in EEG neurofeedback. Neural Plasticity, 2021(1), 1–11. https://doi.org/10.1155/2021/8881059
Faller, J., Cummings, J., Saproo, S., & Sajda, P. (2019). Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task. Proceedings of the National Academy of Sciences of the United States of America, 116(13), 6482–6490. https://doi.org/10.1073/pnas.1817207116
Fincham, G. W., Mavor, K., & Dritschel, B. (2023). Effects of mindfulness meditation duration and type on well-being: An online dose-ranging randomized controlled trial. Mindfulness, 14(5), 1171–1182. https://doi.org/10.1007/s12671-023-02119-2
Flanagan, K., & Saikia, M. J. (2023). Consumer-grade electroencephalogram and functional near-infrared spectroscopy neurofeedback technologies for mental health and wellbeing. Sensors, 23(20), Article 8482. https://doi.org/10.3390/s23208482
Gadea, M., Aliño, M., Hidalgo, V., Espert, R., & Salvador, A. (2020). Effects of a single session of SMR neurofeedback training on anxiety and cortisol levels. Neurophysiologie Clinique, 50(3), 167–173. https://doi.org/10.1016/j.neucli.2020.03.001
Ghosh, K., Nanda, S., Hurt, R. T., Schroeder, D. R., West, C. P., Fischer, K. M., Bauer, B. A., Fokken, S. C., Ganesh, R., Hanson, J. L., Lindeen, S. A., Pruthi, S., & Croghan, I. T. (2023). Mindfulness using a wearable brain sensing device for health care professionals during a pandemic: A pilot program. Journal of Primary Care & Community Health, 14. https://doi.org/10.1177/21501319231162308
Goleman, D. (1988). The meditative mind: The varieties of meditative experience. G.P. Putnam’s Sons.
Gu, G., & Frasson, C. (2017). Virtual sophrologist: A virtual reality neurofeedback relaxation training system. In C. Frasson & G. Kostopoulos (Eds.), Brain function assessment in learning (Vol. 10512, pp. 176–185). Springer International Publishing. https://doi.org/10.1007/978-3-319-67615-9_16
Hammond, D. C. (2011). What is neurofeedback: An update. Journal of Neurotherapy, 15(4), 305–336. https://doi.org/10.1080/10874208.2011.623090
Hampson, M., Ruiz, S., & Ushiba, J. (2020). Neurofeedback. NeuroImage, 218, Article 116473. https://doi.org/10.1016/j.neuroimage.2019.116473
Hawley, L. L., Rector, N. A., DaSilva, A., Laposa, J. M., & Richter, M. A. (2021). Technology supported mindfulness for obsessive compulsive disorder: Self-reported mindfulness and EEG correlates of mind wandering. Behaviour Research and Therapy, 136, Article 103757. https://doi.org/10.1016/j.brat.2020.103757
He, Y., Tang, Z., Sun, G., Cai, C., Wang, Y., Yang, G., & Bao, Z. (2023). Effectiveness of a mindfulness meditation app based on an electroencephalography-based brain-computer interface in radiofrequency catheter ablation for patients with atrial fibrillation: Pilot randomized controlled trial. JMIR mHealth and uHealth, 11, Article e44855. https://doi.org/10.2196/44855
Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33(2–3), 61–83. https://doi.org/10.1017/S0140525X0999152X
Higgins, J., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M., & Welch, V. (2022). Cochrane handbook for systematic reviews of interventions (Version 6.3). Cochrane. https://training.cochrane.org/handbook/archive/v6.3
Hunkin, H., King, D. L., & Zajac, I. T. (2021a). EEG neurofeedback during focused attention meditation: Effects on state mindfulness and meditation experiences. Mindfulness, 12(4), 841–851. https://doi.org/10.1007/s12671-020-01541-0
Hunkin, H., King, D. L., & Zajac, I. T. (2021b). Evaluating the feasibility of a consumer‐grade wearable EEG headband to aid assessment of state and trait mindfulness. Journal of Clinical Psychology, 77(11), 2559–2575. https://doi.org/10.1002/jclp.23189
Hwang, K., Kwon, A., & Hong, C. (2017). A preliminary study of new positive psychology interventions: Neurofeedback-aided meditation therapy and modified positive psychotherapy. Current Psychology (New Brunswick, N.J.), 36(3), 683–695. https://doi.org/10.1007/s12144-016-9538-8
Kober, S. E., Witte, M., Grinschgl, S., Neuper, C., & Wood, G. (2018). Placebo hampers ability to self-regulate brain activity: A double-blind sham-controlled neurofeedback study. NeuroImage, 181, 797–806. https://doi.org/10.1016/j.neuroimage.2018.07.025
Kosunen, I., Salminen, M., Järvelä, S., Ruonala, A., Ravaja, N., & Jacucci, G. (2016). RelaWorld: Neuroadaptive and immersive virtual reality meditation system. Proceedings of the 21st International Conference on Intelligent User Interfaces, 208–217. https://doi.org/10.1145/2856767.2856796
Lee, E., Hong, J. K., Choi, H., & Yoon, I.-Y. (2024). Modest effects of neurofeedback-assisted meditation using a wearable device on stress reduction: A randomized, double-blind, and controlled study. Journal of Korean Medical Science, 39(9), Article e94. https://doi.org/10.3346/jkms.2024.39.e94
Lee, Y.-H., Chang, Y.-P., Lee, J.-T., Lee, D.-C., Huang, E.-Y., & Tsai Lai, L.-J. (2022). Heart rate variability as an indicator of the beneficial effects of Qigong and mindfulness training on the mind–body well-being of cancer survivors. Supportive Care in Cancer, 31, Article 59. https://doi.org/10.1007/s00520-022-07476-7
Lin, I.-M., Chen, T.-C., Lin, H.-Y., Wang, S.-Y., Sung, J.-L., & Yen, C.-W. (2021). Electroencephalogram patterns in patients comorbid with major depressive disorder and anxiety symptoms: Proposing a hypothesis based on hypercortical arousal and not frontal or parietal alpha asymmetry. Journal of Affective Disorders, 282, 945–952. https://doi.org/10.1016/j.jad.2021.01.001
Lodha, S., & Gupta, R. (2022). Mindfulness, attentional networks, and executive functioning: A review of interventions and long-term meditation practice. Journal of Cognitive Enhancement, 6(4), 531–548. https://doi.org/10.1007/s41465-022-00254-7
Martinez, T., & Zhao, Y. (2018). The impact of mindfulness training on middle grades students’ office discipline referrals. RMLE Online, 41(3), 1–8. https://doi.org/10.1080/19404476.2018.1435840
McGuinness, L. A., & Higgins, J. P. T. (2021). Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments. Research Synthesis Methods, 12(1), 55–61. https://doi.org/10.1002/jrsm.1411
McMahon, A. K., Cox, A. E., & Miller, D. E. (2021). Supporting mindfulness with technology in students with intellectual and developmental disabilities. Journal of Special Education Technology, 36(4), 284–296. https://doi.org/10.1177/0162643420924191
Migeot, J., Panesso, C., Duran-Aniotz, C., Ávila-Rincón, C., Ochoa, C., Huepe, D., Santamaría-García, H., Miranda, J. J., Escobar, M. J., Pina-Escudero, S., Romero-Ortuno, R., Lawlor, B., Ibáñez, A., & Lipina, S. (2024). Allostasis, health, and development in Latin America. Neuroscience & Biobehavioral Reviews, 162, Article 105697. https://doi.org/10.1016/j.neubiorev.2024.105697
Mikicin, M., Orzechowski, G., Jurewicz, K., Paluch, K., Kowalczyk, M., & Wróbel, A. (2015). Brain-training for physical performance: A study of EEG-neurofeedback and alpha relaxation training in athletes. Acta Neurobiologiae Experimentalis, 75(4), 434–445. https://doi.org/10.55782/ane-2015-2047
Millstine, D. M., Bhagra, A., Jenkins, S. M., Croghan, I. T., Stan, D. L., Boughey, J. C., Nguyen, M.-D. T., & Pruthi, S. (2019). Use of a wearable EEG headband as a meditation device for women with newly diagnosed breast cancer: A randomized controlled trial. Integrative Cancer Therapies, 18. https://doi.org/10.1177/1534735419878770
Min, B., Park, H., Kim, J. I., Lee, S., Back, S., Lee, E., Oh, S., Yun, J.-Y., Kim, B.-N., Kim, Y., Hwang, J., Lee, S., & Kim, J.-H. (2023). The effectiveness of a neurofeedback-assisted mindfulness training program using a mobile app on stress reduction in employees: Randomized controlled trial. JMIR mHealth and uHealth, 11, Article e42851. https://doi.org/10.2196/42851
Motolese, F., Stelitano, D., Lanzone, J., Albergo, G., Cruciani, A., Masciulli, C., Musumeci, G., Pilato, F., Rossi, M., Ribolsi, M., Di Lazzaro, V., & Capone, F. (2023). Feasibility and efficacy of an at-home, smart-device aided mindfulness program in people with Multiple Sclerosis. Multiple Sclerosis and Related Disorders, 78, Article 104931. https://doi.org/10.1016/j.msard.2023.104931
Nagy, G. A., Cuervo, C., Ramos Rodríguez, E. Y., Plumb Vilardaga, J., Zerubavel, N., West, J. L., Falick, M. C., & Parra, D. C. (2022). Building a more diverse and inclusive science: Mindfulness-based approaches for Latinx individuals. Mindfulness, 13(4), 942–954. https://doi.org/10.1007/s12671-022-01846-2
Nieto-Vallejo, A. E., Ramírez-Pérez, O. F., Ballesteros-Arroyave, L. E., & Aragón, A. (2021). Design of a neurofeedback training system for meditation based on EEG technology. Revista Facultad de Ingeniería, 30(55), Article e12489. https://doi.org/10.19053/01211129.v30.n55.2021.12489
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71
Patel, K., Sutherland, H., Henshaw, J., Taylor, J. R., Brown, C. A., Casson, A. J., Trujillo‐Barreton, N. J., Jones, A. K. P., & Sivan, M. (2020). Effects of neurofeedback in the management of chronic pain: A systematic review and meta‐analysis of clinical trials. European Journal of Pain, 24(8), 1440–1457. https://doi.org/10.1002/ejp.1612
Patil, A., Lin, C., Lee, S., Huang, H.-W., Wu, S.-C., Madathil, D., & Huang, C.-M. (2023). Review of EEG-based neurofeedback as a therapeutic intervention to treat depression. Psychiatry Research: Neuroimaging, 329, Article 111591. https://doi.org/10.1016/j.pscychresns.2023.111591
Peake, J. M., Kerr, G., & Sullivan, J. P. (2018). A critical review of consumer wearables, mobile applications, and equipment for providing biofeedback, monitoring stress, and sleep in physically active populations. Frontiers in Physiology, 9, Article 743. https://doi.org/10.3389/fphys.2018.00743
Polich, G., Gray, S., Tran, D., Morales-Quezada, L., & Glenn, M. (2020). Comparing focused attention meditation to meditation with mobile neurofeedback for persistent symptoms after mild-moderate traumatic brain injury: A pilot study. Brain Injury, 34(10), 1408–1415. https://doi.org/10.1080/02699052.2020.1802781
Rolbiecki, A. J., Craig, K., Megan Polniak, Smith, J., Ghosh, P., & Mehr, D. R. (2023). Virtual reality and neurofeedback for management of cancer symptoms: A feasibility pilot. American Journal of Hospice and Palliative Medicine®, 40(3), 291–298. https://doi.org/10.1177/10499091221109900
Ros, T., Enriquez-Geppert, S., Zotev, V., Young, K. D., Wood, G., Whitfield-Gabrieli, S., Wan, F., Vuilleumier, P., Vialatte, F., Van De Ville, D., Todder, D., Surmeli, T., Sulzer, J. S., Strehl, U., Sterman, M. B., Steiner, N. J., Sorger, B., Soekadar, S. R., Sitaram, R., … Thibault, R. T. (2020). Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist). Brain, 143(6), 1674–1685. https://doi.org/10.1093/brain/awaa009
Salminen, M., Järvelä, S., Kosunen, I., Ruonala, A., Hamari, J., Ravaja, N., & Jacucci, G. (2024). Meditating in a neurofeedback virtual reality: Effects on sense of presence, meditation depth and brain oscillations. Behaviour & Information Technology, 43(12), 2750–2764. https://doi.org/10.1080/0144929X.2023.2258231
Sas, C., & Chopra, R. (2015). MeditAid: A wearable adaptive neurofeedback-based system for training mindfulness state. Personal and Ubiquitous Computing, 19(7), 1169–1182. https://doi.org/10.1007/s00779-015-0870-z
Schuurmans, A. A. T., Nijhof, K. S., Scholte, R., Popma, A., & Otten, R. (2021). Effectiveness of game-based meditation therapy on neurobiological stress systems in adolescents with posttraumatic symptoms: A randomized controlled trial. Stress, 24(6), 1042–1049. https://doi.org/10.1080/10253890.2021.1998444
Shapiro, D. H., & Giber, D. (1978). Meditation and psychotherapeutic effects. Self-regulation strategy and altered state of consciousness. Archives of General Psychiatry, 35(3), 294–302. https://doi.org/10.1001/archpsyc.1978.01770270044003
Sharma, R., & Meena, H. K. (2024). Emerging trends in EEG signal processing: A systematic review. SN Computer Science, 5(4), Article 415. https://doi.org/10.1007/s42979-024-02773-w
Smarinsky, E. C., Brown, C. L., & Christian, D. D. (2023). Examining the effects of a mindfulness-based intervention using a neurofeedback device on adolescent introspection: A quasi-experimental time-series design. Counseling Outcome Research and Evaluation, 14(1), 43–57. https://doi.org/10.1080/21501378.2021.2017770
Soriano, J., Bracho Montes De Oca, E., Karaiskou, A.-I., De Vuyst, H.-J., Rodriguez-Larios, J., Feng, N., Varon, C., & Alaerts, K. (2024). Bidirectional alpha power EEG neurofeedback during a focused attention meditation practice in novices. NeuroRegulation, 11(3), 230–241. https://doi.org/10.15540/nr.11.3.230
Spielberger, C., Gorsuch, R., Vagg, P., & Jacobs, G. (1983). State-trait anxiety inventory for adults. Consulting Psychologists Press. https://doi.org/10.1037/t06496-000
Sterne, J. A. C., Hernán, M. A., McAleenan, A., Reeves, B. C., & Higgins, J. P. T. (Eds.) (2023). Assessing risk of bias in a non-randomized study. Cochrane handbook for systematic reviews of interventions (6.3, Chapter 25). Welch (Eds.). https://training.cochrane.org/handbook/current/chapter-25
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643–662. https://doi.org/10.1037/h0054651
Svetlov, A. S., Nelson, M. M., Antonenko, P. D., McNamara, J. P. H., & Bussing, R. (2019). Commercial mindfulness aid does not aid short-term stress reduction compared to unassisted relaxation. Heliyon, 5(3), Article e01351. https://doi.org/10.1016/j.heliyon.2019.e01351
Takamura, M., Okamoto, Y., Shibasaki, C., Yoshino, A., Okada, G., Ichikawa, N., Yamawaki, S., & Yamawaki, S. (2020). Antidepressive effect of left dorsolateral prefrontal cortex neurofeedback in patients with major depressive disorder: A preliminary report. Journal of Affective Disorders, 271, 224–227. https://doi.org/10.1016/j.jad.2020.03.080
Tarrant, J. (2020). Neuromeditation: The science and practice of combining neurofeedback and meditation for improved mental health. In E. D.-Y. Liao (Ed.), Smart biofeedback—Perspectives and applications. IntechOpen. https://doi.org/10.5772/intechopen.93781
Tarrant, J., & Cope, H. (2018). Combining frontal gamma asymmetry neurofeedback with virtual reality: A proof of concept case study. NeuroRegulation, 5(2), 57–66. https://doi.org/10.15540/nr.5.2.57
Tarrant, J., Jackson, R., & Viczko, J. (2022). A feasibility test of a brief mobile virtual reality meditation for frontline healthcare workers in a hospital setting. Frontiers in Virtual Reality, 3, Article 764745. https://doi.org/10.3389/frvir.2022.764745
van der Schoot, A., Wilpert, J., & van Horn, J. E. (2024). Neurofeedback and meditation technology in outpatient offender treatment: A feasibility and usability pilot study. Frontiers in Psychology, 15, Article 1354997. https://doi.org/10.3389/fpsyg.2024.1354997
Van Doren, J., Arns, M., Heinrich, H., Vollebregt, M. A., Strehl, U., & Loo, S. K. (2019). Sustained effects of neurofeedback in ADHD: a systematic review and meta-analysis. European Child & Adolescent Psychiatry, 28(3), 293–305. https://doi.org/10.1007/s00787-018-1121-4
van Lutterveld, R., Houlihan, S. D., Pal, P., Sacchet, M. D., McFarlane-Blake, C., Patel, P. R., Sullivan, J. S., Ossadtchi, A., Druker, S., Bauer, C., & Brewer, J. A. (2017). Source-space EEG neurofeedback links subjective experience with brain activity during effortless awareness meditation. NeuroImage, 151, 117–127. https://doi.org/10.1016/j.neuroimage.2016.02.047
Vekety, B., Logemann, A., & Takacs, Z. K. (2022). Mindfulness practice with a brain-sensing device improved cognitive functioning of elementary school children: An exploratory pilot study. Brain Sciences, 12(1), Article 103. https://doi.org/10.3390/brainsci12010103
Viczko, J., Tarrant, J., & Jackson, R. (2021). Effects on mood and EEG states after meditation in augmented reality with and without adjunctive neurofeedback. Frontiers in Virtual Reality, 2, Article 618381. https://doi.org/10.3389/frvir.2021.618381
Voigt, J. D., Mosier, M., & Tendler, A. (2024). Systematic review and meta-analysis of neurofeedback and its effect on posttraumatic stress disorder. Frontiers in Psychiatry, 15, Article 1323485. https://doi.org/10.3389/fpsyt.2024.1323485
Wang, P., Liu, J., Wang, L., Ma, H., Meim X., & Zhang, A. (2023). Effects of brain–Computer interface combined with mindfulness therapy on rehabilitation of hemiplegic patients with stroke: A randomized controlled trial. Frontiers in Psychology, 14, Article 1241081. https://doi.org/10.3389/fpsyg.2023.1241081
Wang, S.-Y., Lin, I.-M., Fan, S.-Y., Tsai, Y.-C., Yen, C.-F., Yeh, Y.-C., Huang, M.-F., Lee, Y., Chiu, N.-M., Hung, C.-F., Wang, P.-W., Liu, T.-L., & Lin, H.-C. (2019). The effects of alpha asymmetry and high-beta down-training neurofeedback for patients with the major depressive disorder and anxiety symptoms. Journal of Affective Disorders, 257, 287–296. https://doi.org/10.1016/j.jad.2019.07.026
Wechsler, D. (2008). Wechsler Adult Intelligence Scale – Fourth Edition (WAIS–IV). Pearson Assessment.
Wood, G., & Kober, S. E. (2018). EEG neurofeedback is under strong control of psychosocial factors. Applied Psychophysiology and Biofeedback, 43(4), 293–300. https://doi.org/10.1007/s10484-018-9407-3
Zhang, D., Lee, E. K. P., Mak, E. C. W., Ho, C. Y., & Wong, S. Y. S. (2021). Mindfulness-based interventions: An overall review. British Medical Bulletin, 138(1), 41–57. https://doi.org/10.1093/bmb/ldab005
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Juan P Aristizabal, Vivian de Moura Dayrell, Alexandre Correia Pedra, Letícia Silva Madonado Cunha, Olivia Morgan Lapenta, Wânia Cristina de Souza

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC-BY) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).





