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Learning to modulate one’s own brain activity: The effect of spontaneous mental strategies
Open accessAbstract
Using neurofeedback (NF), individuals can learn to modulate their own brain activity, in most cases electroencephalographic (EEG) rhythms. Although a large body of literature reports positive effects of NF training on behavior and cognitive functions, there are hardly any reports on how participants can successfully learn to gain control over their own brain activity. About one third of people fail to gain significant control over their brain signals even after repeated training sessions. The reasons for this failure are still largely unknown. In this context, we investigated the effects of spontaneous mental strategies on NF performance. Twenty healthy participants performed either a SMR (sensorimotor rhythm, 12-15 Hz) based or a Gamma (40-43 Hz) based NF training over ten sessions. After the first and the last training session, they were asked to write down which mental strategy they have used for self-regulating their EEG. After the first session, all participants reported the use of various types of mental strategies such as visual strategies, concentration, or relaxation. After the last NF training session, four participants of the SMR group reported to employ no specific strategy. These four participants showed linear improvements in NF performance over the ten training sessions. In contrast, participants still reporting the use of specific mental strategies in the last NF session showed no changes in SMR based NF performance over the ten sessions. This effect could not be observed in the Gamma group. The Gamma group showed no prominent changes in Gamma power over the NF training sessions, regardless of the mental strategies used. These results indicate that successful SMR based NF performance is associated with implicit learning mechanisms. Participants stating vivid reports on strategies to control their SMR probably overload cognitive resources, which might be counterproductive in terms of increasing SMR power.
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“Notably, no explicit strategies or instructions were given as, with few exceptions [204], implicit strategies have been shown to produce better outcomes [205–210].”
From Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders (2022) · cites this paper as [207]
Experimental — accuracy not yet measuredIn the citing paper
“Better performance could be due to decoder recalibration [29], re-parameterizations of the BCI, and the application and adoption of better mental strategies [9,64,65], among other factors.”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [64]
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“No apparent “breakthroughs” are evident, which could support the only likely alternative hypothesis, that of the employment of better mental strategies sparking immediate, rather than gradual, improvements [9,64].”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [64]
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Cites
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927
Event-related EEG/MEG synchronization and desynchronization: basic principles
Pfurtscheller, G., & Lopes da Silva, F. H. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00141-8 · Cited by 7,328
Induced root-secreted phenolic compounds as a belowground plant defense
Lanoue, A., Burlat, V., Schurr, U., & Röse, U. S. R. (2010) · Plant Signaling & Behavior · doi:10.4161/psb.5.8.12337 · Cited by 5,462
Long-term meditators self-induce high-amplitude gamma synchrony during mental practice
Lutz, A., Greischar, L. L., Rawlings, N. B., Ricard, M., & Davidson, R. J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407401101 · Cited by 1,328 · cited 2×
“Studies on meditators showed that Gamma power was intensified during meditation, and that Gamma is apparently associated with feelings of kindness and compassion (Banquet, 1973; Lutz et al., 2004; Rubik, 2011).”
BackgroundComparing an Individual's Test Score Against Norms Derived from Small Samples
Crawford, J. R., & Howell, D. C. (1998) · The Clinical Neuropsychologist · doi:10.1076/clin.12.4.482.7241 · Cited by 1,264
The operational analysis of psychological terms.
Skinner, B. F. (1945) · Psychological Review · doi:10.1037/h0062535 · Cited by 1,262
Motor imagery activates primary sensorimotor area in humans
Pfurtscheller, G., & Neuper, C. (1997) · Neuroscience Letters · doi:10.1016/s0304-3940(97)00889-6 · Cited by 1,052
Self-citationCrawford, J. R., & Garthwaite, P. H. (2002) · Neuropsychologia · doi:10.1016/s0028-3932(01)00224-x · Cited by 829
The neural basis of metacognitive ability
Fleming, S. M., & Dolan, R. J. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2011.0417 · Cited by 747
Neuper, C., Scherer, R., Reiner, M., & Pfurtscheller, G. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.08.014 · Cited by 744
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Items 101–200 of 225
Anil, K., Demain, S. H., Burridge, J. H., Simpson, D., Taylor, J., Cotter, I., & Vučković, A. (2022) · Scientific Reports · doi:10.1038/s41598-022-15213-7 · Cited by 14
Pino, O. (2022) · Acta bio-medica dell'Ateneo parmense/Acta biomedica · doi:10.23750/abm.v92i6.12089 · Cited by 13
Gong, X., Yang, Y., Xu, T., Yao, D., Lin, S., & Chang, W. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1423870 · Cited by 13
Hofer, D., Kober, S. E., Reichert, J. L., Krenn, M., Farveleder, K., Grieshofer, P., Neuper, C., & Wood, G. M. D. O. (2014) · Lernen und Lernstörungen · doi:10.1024/2235-0977/a000078 · Cited by 13
Self-citationTrainability of hemodynamic parameters: A near-infrared spectroscopy based neurofeedback study
Kober, S. E., Hinterleitner, V., Bauernfeind, G., Neuper, C., & Wood, G. M. D. O. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.05.009 · Cited by 13
Self-citationTerrasa, J. L., Alba, G., Cifré, I., Solaz, B. R., Montoya, P., & Muñoz, M. A. (2019) · Neural Plasticity · doi:10.1155/2019/7647204 · Cited by 13
Progressive Thresholding: Shaping and Specificity in Automated Neurofeedback Training
Dhindsa, K., Gauder, K. D., Marszalek, K. A., Terpou, B. A., & Becker, S. (2018) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2018.2878328 · Cited by 13
Russo, A. G., Lührs, M., Salle, F. D., Esposito, F., & Goebel, R. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abecc3 · Cited by 13
Is Event-Related Desynchronization variability correlated with BCI performance?
Rimbert, S., Trocellier, D., & Lotte, F. (2022) · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · doi:10.1109/metroxraine54828.2022.9967551 · Cited by 12
Ivanov, N., & Chau, T. T. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1108889 · Cited by 12
The Neglected Problem of the Neurofeedback Learning (In)Ability
Szewczyk, R. Ł., Ratomska, M., & Jaśkiewicz, M. (2018) · Advances in Intelligent Systems and Computing · doi:10.1007/978-3-319-75025-5_6 · Cited by 12
Human Learning for Brain–Computer Interfaces
Jeunet, C., Lotte, F., & N’Kaoua, B. (2016) · Wiley eBooks · doi:10.1002/9781119144977.ch11 · Cited by 14
Sakurada, T., Matsumoto, M., & Yamamoto, S.-I. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.774475 · Cited by 11
Cognitive training, but not EEG-neurofeedback, improves working memory in healthy volunteers
Barbazzeni, B., Speck, O., & Düzel, E. (2023) · Brain Communications · doi:10.1093/braincomms/fcad101 · Cited by 11
Kopańska, M., Rydzik, Ł., Błajda, J., Sarzyńska, I., Jachymek, K., Pałka, T., Ambroży, T., & Szczygielski, J. (2023) · Brain Sciences · doi:10.3390/brainsci13091264 · Cited by 11
Khodakarami, Z., & Firoozabadi, M. (2020) · Basic and Clinical Neuroscience Journal · doi:10.32598/bcn.11.5.1878.1 · Cited by 11
Integrating virtual agents in BCI neurofeedback systems
Cavazza, M., Charles, F., Gilroy, S. W., Porteous, J., Aranyi, G., Raz, G., Keynan, J. N., Cohen, A., Jackont, G., Jacob, Y., et al. (2014) · Virtual Reality International Conference · doi:10.1145/2617841.2620713 · Cited by 11
Brain Training with Neurofeedback
Perronnet, L., Lécuyer, A., Lotte, F., Clerc, M., & Barillot, C. (2016) · Wiley eBooks · doi:10.1002/9781119144977.ch13 · Cited by 11
Biofeedback Interventions for Impulsivity-related Processes in Addictive Disorders
Lucas, I., Solé‐Morata, N., Baenas, I., Rosińska, M., Fernández‐Aranda, F., & Jiménez‐Múrcia, S. (2023) · Current Addiction Reports · doi:10.1007/s40429-023-00499-y · Cited by 10
Salzmann, L., Bichsel, O., Rohr-Fukuma, M., Naef, A. C., Stieglitz, L. H., Oertel, M. F., Bujan, B., Jedrysiak, P., Lambercy, O., Imbach, L., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-28378-8 · Cited by 10
Kober, S. E., Spörk, R., Bauernfeind, G., & Wood, G. M. D. O. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.05.022 · Cited by 10
Self-citationCosta, N., Bicho, E. G., Ferreira, F., Vilhena, E., & Dias, N. S. (2021) · Applied Sciences · doi:10.3390/app11167725 · Cited by 10
Winners and losers in brain computer interface competitive gaming: directional connectivity analysis
Putri, F. D., Luca, I. S., Pedro, J. A. G., Ding, H., & Vučković, A. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac8451 · Cited by 9
Floreani, E. D., Orlandi, S., & Chau, T. T. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.938708 · Cited by 10
Kim, M.-J., Chhoeun, T. B., Kim, T., Sowndhararajan, K., & Kim, S. (2019) · Flavour and Fragrance Journal · doi:10.1002/ffj.3560 · Cited by 10
Immediate effect of yogic postures on autonomic neural responses
De, A., & Mondal, S. (2019) · Research in Cardiovascular Medicine · doi:10.4103/rcm.rcm_26_19 · Cited by 10
Understanding and Controlling Cortical Activity for Superior Performance
Chang, C., & Hung, T. (2020) · Kinesiology Review · doi:10.1123/kr.2019-0061 · Cited by 10
Kolken, Y., Bouny, P., & Arns, M. (2022) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-022-09560-4 · Cited by 16
Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training
Kopel, R., Emmert, K., Scharnowski, F., Haller, S., & Ville, D. V. D. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2598818 · Cited by 11
Perez, T. M., Glue, P., Adhia, D. B., Navid, M. S., Zeng, J., Dillingham, P., Smith, M., Niazi, I. K., Young, C. K., & De Ridder, D. (2022) · Trials · doi:10.1186/s13063-022-06863-z · Cited by 8
LORETA Neurofeedback in College Students with ADHD
Decker, S. L., Roberts, A. M., & Green, J. J. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-801291-8.00014-5 · Cited by 9
A Motivational Model of BCI-Controlled Heuristic Search
Cavazza, M. (2018) · Brain Sciences · doi:10.3390/brainsci8090166 · Cited by 9
Would Motor-Imagery based BCI user training benefit from more women experimenters?Preprint
Roc, A., Pillette, L., N’Kaoua, B., & Lotte, F. (2019) · arXiv (Cornell University) · doi:10.3217/978-3-85125-682-6-36 · Cited by 9
Godet, A., Serrand, Y., Léger, B., Moirand, R., Bannier, É., Val‐Laillet, D., & Coquery, N. (2024) · Scientific Reports · doi:10.1038/s41598-024-69863-w · Cited by 11
Godet, A., Serrand, Y., Fortier, A., Léger, B., Bannier, É., Val‐Laillet, D., & Coquery, N. (2023) · PLoS ONE · doi:10.1371/journal.pone.0290005 · Cited by 8
Autenrieth, M., Kober, S. E., & Wood, G. M. D. O. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1032222 · Cited by 7
Self-citationSho’ouri, N. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102753 · Cited by 7
Uslu, A. S., & Vögele, C. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1077039 · Cited by 7
Kleih, S. C., & Botrel, L. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1155584 · Cited by 8
Changes in the Electroencephalographic Activity in Response to Odors Produced by Organic Compounds
Kim, M.-J., Song, J., Nishi, K., Sowndhararajan, K., & Kim, S. (2019) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000234 · Cited by 7
Lubianiker, N., Koren, T., Djerassi, M., Sirotkin, M., Singer, N., Jalon, I., Lerner, A., Sar-El, R., Sharon, H., Shahar, M., et al. (2026) · Nature Medicine · doi:10.1038/s41591-025-04140-5 · Cited by 11
Wimmer, J., Rösch, S. A., Schmidt, R., & Hilbert, A. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1234085 · Cited by 6
Optimal Procedures in Z-Score Neurofeedback
Lubar, J. F. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-801291-8.00003-0 · Cited by 6
Enriquez‐Geppert, S., Huster, R. J., Ros, T., & Wood, G. M. D. O. (2017) · Springer eBooks · doi:10.1007/978-3-319-57505-6_11 · Cited by 6
Self-citationShin, M., Lee, M., & Cho, H. (2024) · Building and Environment · doi:10.1016/j.buildenv.2024.112478 · Cited by 5
Kvamme, T. L., Sarmanlu, M., & Overgaard, M. S. (2022) · Consciousness and Cognition · doi:10.1016/j.concog.2022.103381 · Cited by 5
Rösch, S. A., Schmidt, R., Wimmer, J., Lührs, M., Ehlis, A., & Hilbert, A. (2023) · Clinical Neurophysiology · doi:10.1016/j.clinph.2023.09.011 · Cited by 6
Empowering Negotiating Skills in Law Professionals: Neuro-Cognitive Applications
Cominelli, L., Folgieri, R., & Lucchiari, C. (2020) · Springer eBooks · doi:10.1007/978-3-030-38840-9_8 · Cited by 4
Kober, S. E., Wood, G. M. D. O., Schuster, S., & Körner, C. (2024) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-024-09625-6 · Cited by 4
Self-citationMathew, J., Galacgac, J., Smith, M. L., Du, P., & Çakmak, Y. Ö. (2025) · Neurogastroenterology & Motility · doi:10.1111/nmo.15009 · Cited by 4
Berger, L. M., Wood, G. M. D. O., & Kober, S. E. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/adbd76 · Cited by 4
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Kober, S. E., & Wood, G. M. D. O. (2020) · Lernen und Lernstörungen · doi:10.1024/2235-0977/a000293 · Cited by 4
Self-citationKober, S. E., Ninaus, M., Witte, M., Buchrieser, F., Grössinger, D., Fischmeister, F. P. S., Neuper, C., & Wood, G. M. D. O. (2022) · Biological Psychology · doi:10.1016/j.biopsycho.2022.108406 · Cited by 5
Self-citationBinsch, O., Wilschut, E. S., Arns, M., Bottenheft, C., Valk, P. J. L., & Vermetten, E. H. G. J. M. (2017) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-017-9384-y · Cited by 4
Neuronal avalanches as a predictive biomarker for guiding tailored BCI training programs
Mannino, C., Sorrentino, P., Chávez, M., & Corsi, M. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1259 · Cited by 5
An intelligent sport training method based on EEG neurofeedback
Chen, F., Liu, Y., Lai, Y., & Ruan, Q. (2025) · Scientific Reports · doi:10.1038/s41598-025-21590-6 · Cited by 3
Sokhadze, E. M., Kelly, D. P., Lamina, E. V., & Casanova, M. F. (2021) · Contemporary clinical neuroscience · doi:10.1007/978-3-030-54564-2_15 · Cited by 4
Filho, P. C. D. N., Duarte, F. T., Fortes, J. P. A., & Júnior, F. F. U. S. (2017) · Fisioterapia Brasil · doi:10.33233/fb.v18i3.1065 · Cited by 3
Crosstalk disrupts the production of motor imagery brain signals in brain–computer interfaces
Neo, P. S. ‐., Mayne, T., Fu, X., Huang, Z., & Franz, E. A. (2021) · Health Information Science and Systems · doi:10.1007/s13755-021-00142-y · Cited by 3
Coyle, D., Korik, A., du Bois, N., Hodge, S. J., Hudson, L., Elahi, A., Bigirimana, A. D., Dayan, N., McCann, A., Yelden, K., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-2349135/v1 · Cited by 3
Roc, A., Kolodzienski, L., Dreyer, P., Appriou, A., Monseigne, T., & Lotte, F. (2025) · Brain Research · doi:10.1016/j.brainres.2025.150085 · Cited by 2
Francis, M., Markus, A., Stuhr-Wulff, F., & Shamay‐Tsoory, S. (2026) · iScience · doi:10.1016/j.isci.2026.114894 · Cited by 5
Alpha power increases spontaneously during a neurofeedback session
Maaz, J., Waroquier, L., Dia, A., Paban, V., & Rey, A. (2026) · Communications Psychology · doi:10.1038/s44271-026-00431-w · Cited by 2
Recovering Hidden Responder Groups in Individuals Receiving Neurofeedback for Tinnitus
Riha, C., Güntensperger, D., Kleinjung, T., & Meyer, M. E. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.867704 · Cited by 2
Wang, X., Zhou, X., Li, J., Gong, Y., & Feng, Z. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1253727 · Cited by 2
User Experience in Neurofeedback Applications Using AR as Feedback Modality
Berger, L. M., Wood, G. M. D. O., & Kober, S. E. (2024) · Computers · doi:10.3390/computers13050110 · Cited by 2
Self-citationIvanov, N., & Chau, T. T. (2024) · Brain-Apparatus Communication A Journal of Bacomics · doi:10.1080/27706710.2024.2366193 · Cited by 2
Anil, K., Ganis, G., Freeman, J. A., Marsden, J. F., & Hall, S. D. (2024) · Sensors · doi:10.3390/s24165107 · Cited by 2
Real‐time fMRI neurofeedback of the anterior insula using arterial spin labelling
Grössinger, D., Spann, S. M., Stollberger, R., Pfeuffer, J., Koten, J. W., & Wood, G. M. D. O. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16502 · Cited by 2
Self-citationWimpff, M., Aristimunha, B., Chevallier, S., & Yang, B. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11253543 · Cited by 6
Neurofeedback bei adulter Aufmerksamkeitsdefizit‑/Hyperaktivitätsstörung
Barth, B., & Ehlis, A. (2019) · Psychotherapeut · doi:10.1007/s00278-019-0350-4 · Cited by 2
Jäncke, L. (2014) · Lernen und Lernstörungen · doi:10.1024/2235-0977/a000080 · Cited by 2
Virtual Agents in Brain-Computer Interfaces
Cavazza, M., Charles, F., Gilroy, S. W., Porteous, J., Aranyi, G., Cordry, J., Raz, G., Keynan, J. N., Cohen, A., Jackont, G., et al. (2015) · International Journal of Virtual Reality · doi:10.20870/ijvr.2015.15.1.2868 · Cited by 2
陈, 梓. (2020) · Advances in Psychology · doi:10.12677/ap.2020.104058 · Cited by 2
The Effect of Neurofeedback Training in CAVE-VR for Enhancing Working Memory
Accoto, F., Vourvopoulos, A., Gonçalves, A., Bucho, T., Caetano, G., Figueiredo, P., Paolis, L. T. D., & Badia, S. B. I. (2021) · Human-computer interaction series · doi:10.1007/978-3-030-30457-7_2 · Cited by 2
Yogic postures and brain wave activation
De, A., Mondal, S., & Ghosh, S. N. (2021) · Yoga Mimamsa · doi:10.4103/ym.ym_34_21 · Cited by 2
Li, M., Gong, A., Nan, W., Xu, B., Ding, P., & Fu, Y. (2022) · PubMed Central · doi:10.7507/1001-5515.202204031 · Cited by 2
Neurofeedback par électroencéphalographie en psychiatrie : remédiation neurophysiologique
Micoulaud‐Franchi, J., & Daudet, C. (2015) · Encyclopédie médico-chirurgicale. Psychiatrie · doi:10.1016/s0246-1072(15)69473-1 · Cited by 2
Presession Posterior Alpha Enhancement May Accelerate Neurofeedback Learning and Response
Yonah, R. (2021) · NeuroRegulation · doi:10.15540/nr.8.1.29 · Cited by 2
Yonah, R. (2023) · NeuroRegulation · doi:10.15540/nr.10.1.31 · Cited by 2
Fadaei, A., Najafi, M., Miladi‐Gorji, H., Tajik‐Mansoury, M. A., & Afkar, M. (2023) · Basic and Clinical Neuroscience Journal · doi:10.32598/bcn.2023.886.4 · Cited by 1
Volitional modulation of beta-band EMG coherence through frequency-specific neurofeedback
Nojima, I., Horiuchi, Y., Yaguchi-Horiuchi, A., Tsuji, T., Kanazawa, H., & Yamanaka, E. (2026) · Scientific Reports · doi:10.1038/s41598-026-38064-y · Cited by 1
Enriquez‐Geppert, S., Smit, D., Eschmann, K. C. J., Marcos-Martínez, D., Hornero, R., Hsieh, S., Dehais, F., & Huster, R. J. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121820 · Cited by 1
Marcos-Martínez, D., Santamaría-Vázquez, E., Pérez-Velasco, S., Ruiz-Gálvez, C. R., Martín-Fernández, A., Pascual-Roa, B., Martínez-Velasco, R., Martínez-Cagigal, V., & Hornero, R. (2026) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-026-01912-z · Cited by 1
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Kuznetsova, E., de Beus, R., Arnold, L. E., Rudakov, E., & Cowley, B. U. (2026) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-026-09774-w · Cited by 1
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Costa, N., Bicho, E. G., & Dias, N. S. (2021) · SeGAH ... IEEE ... International Conference on Serious Games and Applications for Health/IEEE International Conference on Serious Games and Applications for Health · doi:10.1109/segah52098.2021.9551893 · Cited by 1
Discovering Mental Strategies for Voluntary Control Over Brain-Computer Interfaces
Davelaar, E. J. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-35017-7_2 · Cited by 1
Leisman, G., Wallach, J., Machado-Ferrer, Y., Chinchilla-Acosta, M., Meyer, A. G., Lebovits, R., & Donkin, S. (2024) · Journal of Medical Case Reports · doi:10.1186/s13256-024-04888-3 · Cited by 2
Perez, T. M., Adhia, D. B., Glue, P., Zeng, J., Dillingham, P. W., Navid, M. S., Niazi, I. K., Young, C. K., Smith, M. L., & Ridder, D. J. M. K. D. (2025) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-025-01279-z · Cited by 2
Haus, K.-M., Held, C., Kowalski, A., Krombholz, A., Nowak, M., Schneider, E. M., Strauß, G., & Wiedemann, M. (2020) · Springer eBooks · doi:10.1007/978-3-662-59720-0_3 · Cited by 1
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Metadata
- Authors
- Kober, S. E., Witte, M., Ninaus, M., Neuper, C., & Wood, G.
- Affiliations
- University of Graz (AT)
- Corresponding author
- Wood, Guilherme
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2013
- Volume
- 7
- Pages
- 695-695
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC3798979
- OpenAlex
- W2041078369
- Cited by
- 225
- References
- 62
- Citations by year
- 2026: 15 · 2025: 11 · 2024: 17 · 2023: 22 · 2022: 24 · 2021: 21 · 2020: 22 · 2019: 14 · 2018: 21 · 2017: 17 · 2016: 11 · 2015: 13 · 2014: 16 · 2013: 1
- FWCI
- 7.44
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Unipub UB Graz (Universität Graz) (submittedVersion, cc-by)
- Funders
- European Commission (287320)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Social Sciences › Arts and Humanities › Philosophy › Free Will and Agency
- Keywords
- neurofeedback, self-regulation of brain activity, sensorimotor rhythm, gamma band, implicit learning, cognitive resource allocation
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