Skip to main content
SpringerLink
Log in
Book cover

International Scientific Conference BCI 2018 Opole

BCI 2018: Biomedical Engineering and Neuroscience pp 45–58Cite as

The Neglected Problem of the Neurofeedback Learning (In)Ability

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 720))

Abstract

Neurofeedback (NFB) as one of the biofeedback modalities has a very wide range of applications. Surprisingly, despite of its popularity, research on its effectiveness in many cases remains inconclusive. What is more, there are studies that have even brought contradictory results. For instance, the need to use individualised vs standard neurofeedback protocol is still under debate. In this article we point out the problem of the neurofeedback effectiveness underestimation which might result from the neglected neurofeedback learning inability phenomenon (also called as BCI-illiteracy). We suggest that there are three preconditions of the neurofeedback loop establishment, and subsequently, we reflect on their potential obstacles. We conclude by encouraging neurofeedback researchers and practitioners to pay more attention to observing and reporting the problem of the neurofeedback learning inability, as it is crucial factor for determining its real effectiveness.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Wolpaw, J.R., Birbaumer, N., Heetderks, W.J., McFarland, D.J., Peckham, P.H., Schalk, G., Donchin, E., Quatrano, L.A., Robinson, C.J., Vaughan, T.M.: Brain-computer interface technology: a review of the first international meeting. IEEE Trans. Rehab. Eng. 8(2), 164–173 (2000). https://doi.org/10.1109/TRE.2000.847807

    Article  Google Scholar 

  2. Evans, J.R., Abarbanel, A.: Introduction to Quantitative EEG and Neurofeedback. Academic Press, Orlando (1999)

    Google Scholar 

  3. Szewczyk, R.: Biofeedback. In: Borkowski, P. (ed.) Biofeedback Innowacje. Akademia im. Jana Długosza w Częstochowie (2015)

    Google Scholar 

  4. Demos, J.N.: Getting Started with Neurofeedback. WW Norton Co., New York (2005). https://doi.org/10.1016/j.jpsychores.2005.08.007

    Google Scholar 

  5. Teplan, M.: Fundamentals of EEG measurement. Measur. Sci. Rev. 2(2), 1–11 (2002). https://doi.org/10.1021/pr070350l

    Google Scholar 

  6. Alkoby, O., Abu-Rmileh, A., Shriki, O., Todder, D.: Can we predict who will respond to neurofeedback? A review of the inefficacy problem and existing predictors for successful EEG neurofeedback learning. Neuroscience (2017). https://doi.org/10.1016/j.neuroscience.2016.12.050

  7. Wan, F., Nan, W., Vai, M.I., Rosa, A.: Resting alpha activity predicts learning ability in alpha neurofeedback. Front. Human Neurosci. 8, 500 (2014). https://doi.org/10.3389/fnhum.2014.00500

    Article  Google Scholar 

  8. Sterman, M.B., Friar, L.: Suppression of seizures in an epileptic following sensorimotor EEG feedback training. Electroencephalogr. Clin. Neurophysiol. 33(1), 89–95 (1972). https://doi.org/10.1016/0013-4694(72)90028-4

    Article  Google Scholar 

  9. Kotchoubey, B., Strehl, U., Uhlmann, C., Holzapfel, S., König, M., Fröscher, W., Blankenhorn, V., Birbaumer, N.: Modification of slow cortical potentials in patients with refractory epilepsy: a controlled outcome study. Epilepsia 42(3), 406–416 (2001)

    Article  Google Scholar 

  10. Sterman, M.B., Egner, T.: Foundation and practice of neurofeedback for the treatment of epilepsy. Appl. Psychophysiol. Biofeedback 31(1), 21–35 (2006). https://doi.org/10.1007/s10484-006-9002-x

    Article  Google Scholar 

  11. Tan, G., Thornby, J., Hammond, D.C., Strehl, U., Canady, B., Arnemann, K., Kaiser, D.A.: Meta-analysis of EEG biofeedback in treating epilepsy. Clin. EEG Neurosci. 40(3), 173–179 (2009). https://doi.org/10.1177/155005940904000310

    Article  Google Scholar 

  12. Strehl, U., Birkle, S.M., Wörz, S., Kotchoubey, B.: Sustained reduction of seizures in patients with intractable epilepsy after self-regulation training of slow cortical potentials - 10 years after. Front. Hum. Neurosci. 8(604), 1–7 (2014). https://doi.org/10.3389/fnhum.2014.00604

    Google Scholar 

  13. Arns, M., de Ridder, S., Strehl, U., Breteler, M., Coenen, A.: Efficacy of neurofeedback treatment in ADHD: the effects on inattention, impulsivity and hyperactivity: a meta-analysis. Clin. EEG Neurosci. 40(3), 180–189 (2009). https://doi.org/10.1177/155005940904000311

    Article  Google Scholar 

  14. Duric, N.S., Assmus, J., Gundersen, D., Elgen, I.B.: Neurofeedback for the treatment of children and adolescents with ADHD: a randomized and controlled clinical trial using parental reports. BMC Psychiatry 12(1), 107 (2012). https://doi.org/10.1186/1471-244X-12-107

    Article  Google Scholar 

  15. Moriyama, T.S., Polanczyk, G., Caye, A., Banaschewski, T., Brandeis, D., Rohde, L.A.: Evidence-based information on the clinical use of neurofeedback for ADHD. Neurotherapeutics 9(3), 588–598 (2012). https://doi.org/10.1007/s13311-012-0136-7

    Article  Google Scholar 

  16. Sonuga-Barke, E.J.S., Brandeis, D., Cortese, S., Daley, D., Ferrin, M., Holtmann, M., et al.: Nonpharmacological interventions for ADHD: systematic review and meta-analyses of randomized controlled trials of dietary and psychological treatments. Am. J. Psychiatry 170(3), 275–289 (2013). https://doi.org/10.1176/appi.ajp.2012.12070991

    Article  Google Scholar 

  17. Choi, S.W., Chi, S.E., Chung, S.Y., Kim, J.W., Ahn, C.Y., Kim, H.T.: Is alpha wave neurofeedback effective with randomized clinical trials in depression? A pilot study. Neuropsychobiology 63(1), 43–51 (2010). https://doi.org/10.1159/000322290

    Article  Google Scholar 

  18. Dias, Á.M., van Deusen, A.: A new neurofeedback protocol for depression. Spanish J. Psychol. 14(1), 374–384 (2011). https://doi.org/10.5209/rev

    Article  Google Scholar 

  19. Sokhadze, T.M., Cannon, R.L., Trudeau, D.L.: EEG biofeedback as a treatment for substance use disorders: review, rating of efficacy, and recommendations for further research. Appl. Psychophysiol. Biofeedback 33(1), 1–28 (2008). https://doi.org/10.1007/s10484-007-9047-5

    Article  Google Scholar 

  20. Bolea, A.S.: Neurofeedback treatment of chronic inpatient Schizophrenia. J. Neurotherapy 14(1), 47–54 (2010). https://doi.org/10.1080/10874200903543971

    Article  Google Scholar 

  21. Nan, W., Chang, L., Rodrigues, J. P., Wan, F., Mak, P. U., Mak, P. I., Vai, M., Rosa, A.: Neurofeedback for the treatment of schizophrenia: case study. In: Proceedings of IEEE International Conference on Virtual Environments, Human-Computer Interfaces, and Measurement Systems, VECIMS, vol. 139, pp. 78–81 (2012). https://doi.org/10.1109/VECIMS.2012.6273182

  22. Surmeli, T., Ertem, A., Eralp, E., Kos, I.H.: Schizophrenia and the efficacy of qEEG-guided neurofeedback treatment: a clinical case series. Clin. EEG Neurosci. (official journal of the EEG and Clinical Neuroscience Society (ENCS)) 43(2), 133–144 (2012). https://doi.org/10.1177/1550059411429531

    Article  Google Scholar 

  23. Doppelmayr, M., Nosko, H., Fink, A.: An attempt to increase cognitive performance after stroke with neurofeedback. Biofeedback 35(4), 126–130 (2007). http://www.ncbi.nlm.nih.gov/pubmed/22081825

    Google Scholar 

  24. Rayegani, S.M., Raeissadat, S.A., Sedighipour, L., Rezazadeh, I.M., Bahrami, M.H., Eliaspour, D., Khosrawi, S.: Effect of neurofeedback and electromyographic-biofeedback therapy on improving hand function in stroke patients. Top. Stroke Rehab. 21(2), 137–151 (2014). https://doi.org/10.1310/tsr2102-137

    Article  Google Scholar 

  25. Kouijzer, M.E.J., Schie, H.T., Gerrits, B.J.L., Buitelaar, J.K., Moor, J.M.H.: Is EEG-biofeedback an effective treatment in autism spectrum disorders? A randomized controlled trial. Appl. Psychophysiol. Biofeedback 38, 17–28 (2012). https://doi.org/10.1007/s10484-012-9204-3

    Article  Google Scholar 

  26. Thompson, M., Thompson, L.: Asperger’s syndrome intervention: combining neurofeedback, biofeedback and metacognition. Introduction to quantitative EEG and neurofeedback, pp. 365–415. Academic Press, San Diego (2009)

    Chapter  Google Scholar 

  27. Otiimer, S., Othmer, S.F.: Post traumatic stress disorder. Biofeedback 37(1), 24–31 (2009)

    Article  Google Scholar 

  28. Raymond, J., Sajid, I., Parkinson, L.A., Gruzelier, J.H.: Biofeedback and dance performance: a preliminary investigation. Appl. Psychophysiol. Biofeedback 30(1), 65–73 (2005). https://doi.org/10.1007/s10484-005-2175-x

    Article  Google Scholar 

  29. Reiter, K., Andersen, S.B., Carlsson, J.: Neurofeedback treatment and Posttraumatic stress disorder. J. Nerv. Mental Dis. 204(2), 69–77 (2016). https://doi.org/10.1097/NMD.0000000000000418

    Article  Google Scholar 

  30. Schenk, S., Lamm, K., Ladwig, K.H.: Effects of a neurofeedback-based alpha training on chronic tinnitus. Verhaltenstherapie 13(2), 2003 (2003)

    Article  Google Scholar 

  31. Hartmann, T., Lorenz, I., Müller, N., Langguth, B., Weisz, N.: The effects of neurofeedback on oscillatory processes related to tinnitus. Brain Topogr. 27(1), 149–157 (2014). https://doi.org/10.1007/s10548-013-0295-9

    Article  Google Scholar 

  32. Vernon, D., Egner, T., Cooper, N., Compton, T., Neilands, C., Sheri, A., Gruzelier, J.: The effect of training distinct neurofeedback protocols on aspects of cognitive performance. Int. J. Psychophysiol. 47(1), 75–85 (2003). https://doi.org/10.1016/S0167-8760(02)00091-0

    Article  Google Scholar 

  33. Wang, J.R., Hsieh, S.: Neurofeedback training improves attention and working memory performance. Clin. Neurophysiol. 124(12), 2406–2420 (2013). https://doi.org/10.1016/j.clinph.2013.05.020

    Article  Google Scholar 

  34. Nan, W., Rodrigues, J.P., Ma, J., Qu, X., Wan, F., Mak, P.I., Mak, P.U., Vai, M.I., Rosa, A.: Individual alpha neurofeedback training effect on short term memory. Int. J. Psychophysiol. 86(1), 83–87 (2012). https://doi.org/10.1016/j.ijpsycho.2012.07.182

    Article  Google Scholar 

  35. Nan, W., Wan, F., Lou, C.I., Vai, M.I., Rosa, A.: Peripheral visual performance enhancement by neurofeedback training. Appl. Psychophysiol. Biofeedback 38(4), 285–291 (2013). https://doi.org/10.1007/s10484-013-9233-6

    Article  Google Scholar 

  36. Egner, T., Gruzelier, J.: Ecological validity of neurofeedback: modulation of slow wave EEG enhances musical performance. NeuroReport 14(9), 1221–1224 (2003). https://doi.org/10.1097/01.wnr.0000081875.45938.d1

    Article  Google Scholar 

  37. Gruzelier, J.: A theory of alpha/theta neurofeedback, creative performance enhancement, long distance functional connectivity and psychological integration. Cogn. Process. 10(Suppl. 1), S101–S109 (2009). https://doi.org/10.1007/s10339-008-0248-5

    Article  Google Scholar 

  38. Gruzelier, J.H.: EEG-neurofeedback for optimising performance. II: creativity, the performing arts and ecological validity. Neurosci. Biobehav. Rev. 44, 142–158 (2014). https://doi.org/10.1016/j.neubiorev.2013.11.004

    Article  Google Scholar 

  39. Gruzelier, J., Inoue, A., Smart, R., Steed, A., Steffert, T.: Acting performance and flow state enhanced with sensory-motor rhythm neurofeedback comparing ecologically valid immersive VR and training screen scenarios. Neurosci. Lett. 480(2), 112–116 (2010). https://doi.org/10.1016/j.neulet.2010.06.019

    Article  Google Scholar 

  40. Yucha, C., Gilbert, C.: Evidence-Based Practice in Biofeedback and Neurofeedback. Association for Applied Psychophysiology and Biofeedback (AAPB), Wheat Ridge (2004)

    Google Scholar 

  41. Yucha, C.B., Montgomery, D.: Evidence-based practice in biofeedback and neurofeedback. Nursing 6656 (2008). https://doi.org/10.1017/cbo9781107415324.004

  42. Rossiter, T., La Vaque, T.: A comparison of EEG biofeedback and Psychostimulants in treating attention deficit/hyperactivity disorders. J. Neurotherapy 1(1), 48–59 (1995). https://doi.org/10.1300/J184v01n01_07

    Article  Google Scholar 

  43. Fuchs, T., Birbaumer, N., Lutzenberger, W., Gruzelier, J.H., Kaiser, J.: Neurofeedback treatment for attention-deficit/hyperactivity disorder in children: a comparison with Methylphenidate. Appl. Psychophysiol. Biofeedback 28(1), 1–12 (2003). https://doi.org/10.1023/A:1022353731579

    Article  Google Scholar 

  44. Rossiter, T.: The effectiveness of neurofeedback and stimulant drugs in treating AD/HD: part I. Review of methodological issues. Appl. Psychophysiol. Biofeedback 29(2), 95–112 (2004). https://doi.org/10.1023/B:APBI.0000026636.13180.b6

    Article  Google Scholar 

  45. deBeus, R.J., Kaiser, D.A.: Neurofeedback with children with attention deficit hyperactivity disorder: a randomized double-blind placebo-controlled study. In: Neurofeedback and Neuromodulation Techniques and Applications, pp. 127–152 (2011). https://doi.org/10.1016/B978-0-12-382235-2.00005-6

  46. Strehl, U., Leins, U., Goth, G., Klinger, C., Hinterberger, T., Birbaumer, N.: Self-regulation of slow cortical potentials: a new treatment for children with attention-deficit/hyperactivity disorder. Pediatrics 118(5), e1530–e1540 (2006). https://doi.org/10.1542/peds.2005-2478

    Article  Google Scholar 

  47. Gevensleben, H., Holl, B., Albrecht, B., Schlamp, D., Kratz, O., Studer, P., Rothenberger, A., Moll, G.H., Heinrich, H.: Neurofeedback training in children with ADHD: 6-month follow-up of a randomised controlled trial. Eur. Child Adolesc. Psychiatry 19(9), 715–724 (2010). https://doi.org/10.1007/s00787-010-0109-5

    Article  Google Scholar 

  48. Van Dongen-Boomsma, M., Vollebregt, M.A., Slaats-Willemse, D., Buitelaar, J.K.: A randomized placebo-controlled trial of electroencephalographic (EEG) neurofeedback in children with attention-deficit/hyperactivity disorder. J. Clin. Psychiatry 74(8), 821–827 (2013). https://doi.org/10.4088/JCP.12m08321

    Article  Google Scholar 

  49. Evans, J., Rubi, M.: Ours is to reason why and how. In: Handbook of Neurofeedback: Dynamics and Clinical Applications, pp. 61–81. The Haworth Medical Press/The Haworth Press, Binghamton (2007). https://doi.org/10.1080/1353333031000139273

  50. Hammond, D.C.: What is neurofeedback: an update. J. Neurotherapy 15(4), 305–336 (2011). https://doi.org/10.1080/10874208.2011.623090

    Article  Google Scholar 

  51. Holtmann, M., Stadler, C., Leins, U., Strehl, U., Birbaumer, N., Poustka, F.: Neurofeedback for the treatment of attention-deficit/hyperactivity disorder (ADHD) in childhood and adolescence. Zeitschrift Für Kinder- Und Jugendpsychiatrie Und Psychotherapie 32(3), 187–200 (2004)

    Article  Google Scholar 

  52. Little, K.D., Lubar, J.F., Cannon, R.: Neurofeedback: research-based treatment for ADHD. In: Handbook of Integrative Clinical Psychology, Psychiatry, and Behavioral Medicine: Perspectives, Practices, and Research, pp. 807–821 (2010)

    Google Scholar 

  53. Micoulaud-Franchi, J.-A., Geoffroy, P.A., Fond, G., Lopez, R., Bioulac, S., Philip, P.: EEG neurofeedback treatments in children with ADHD: an updated meta-analysis of randomized controlled trials. Front. Hum. Neurosci. 8, 1–7 (2014). https://doi.org/10.3389/fnhum.2014.00906

    Article  Google Scholar 

  54. Lansbergen, M.M., Van Dongen-Boomsma, M., Buitelaar, J.K., Slaats-Willemse, D.: ADHD and EEG-neurofeedback: a double-blind randomized placebo-controlled feasibility study. J. Neural Transm. 118(2), 275–284 (2011). https://doi.org/10.1007/s00702-010-0524-2

    Article  Google Scholar 

  55. Hammond, D.C.: What is neurofeedback? J. Neurotherapy (Investigations in Neuromodulation, Neurofeedback and Applied Neuroscience) 10(4), 25–36 (2007). https://doi.org/10.1300/J184v10n04

    Google Scholar 

  56. Cortese, S., Ferrin, M., Brandeis, D., Holtmann, M., Aggensteiner, P., Daley, D., et al.: Neurofeedback for attention-deficit/hyperactivity disorder: meta-analysis of clinical and neuropsychological outcomes from randomized controlled trials. J. Am. Acad. Child Adolesc. Psychiatry 55(6), 444–455 (2016). https://doi.org/10.1016/j.jaac.2016.03.007

    Article  Google Scholar 

  57. Kamiya, J.: Operant control of the EEG alpha rhythm and some of its reported effects on consciousness. In: Tart, C. (ed.) Altered States of Consciousness, pp. 489–501 (1969)

    Google Scholar 

  58. Gruzelier, J.H.: EEG-neurofeedback for optimising performance. I: a review of cognitive and affective outcome in healthy participants. Neurosci. Biobehav. Rev. 44, 124–141 (2014). https://doi.org/10.1016/j.neubiorev.2013.09.015

    Article  Google Scholar 

  59. Hanslmayr, S., Sauseng, P., Doppelmayr, M., Schabus, M., Klimesch, W.: Increasing individual upper alpha power by neurofeedback improves cognitive performance in human subjects. Appl. Psychophysiol. Biofeedback 30(1), 1–10 (2005). https://doi.org/10.1007/s10484-005-2169-8

    Article  Google Scholar 

  60. Weber, E., Köberl, A., Frank, S., Doppelmayr, M.: Predicting successful learning of SMR neurofeedback in healthy participants: methodological considerations. Appl. Psychophysiol. Biofeedback 36(1), 37–45 (2011). https://doi.org/10.1007/s10484-010-9142-x

    Article  Google Scholar 

  61. Doehnert, M., Brandeis, D., Straub, M., Steinhausen, H.-C., Drechsler, R.: Slow cortical potential neurofeedback in attention deficit hyperactivity disorder: is there neurophysiological evidence for specific effects? J. Neural Transm. 115(10), 1445–1456 (2008). https://doi.org/10.1007/s00702-008-0104-x

    Article  Google Scholar 

  62. Kotchoubey, B., Strehl, U., Holzapfel, S., Blankenhorn, V., Fröscher, W., Birbaumer, N.: Negative potential shifts and the prediction of the outcome of neurofeedback therapy in epilepsy. Clin. Neurophysiol. 110(4), 683–686 (1999). https://doi.org/10.1016/S1388-2457(99)00005-X

    Article  Google Scholar 

  63. Kropotov, J.D., Grin-Yatsenko, V.A., Ponomarev, V.A., Chutko, L.S., Yakovenko, E.A., Nikishena, I.S.: ERPs correlates of EEG relative beta training in ADHD children. Int. J. Psychophysiol. 55(1), 23–34 (2005). https://doi.org/10.1016/j.ijpsycho.2004.05.011

    Article  Google Scholar 

  64. Escolano, C., Aguilar, M., Minguez, J.: EEG-based upper alpha neurofeedback training improves working memory performance. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 2327–2330 (2011). https://doi.org/10.1109/IEMBS.2011.6090651

  65. Zoefel, B., Huster, R.J., Herrmann, C.S.: Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance. NeuroImage 54(2), 1427–1431 (2011). https://doi.org/10.1016/j.neuroimage.2010.08.078

    Article  Google Scholar 

  66. Enriquez-Geppert, S., Huster, R.J., Scharfenort, R., Mokom, Z.N., Zimmermann, J., Herrmann, C.S.: Modulation of frontal-midline theta by neurofeedback. Biol. Psychol. 95(1), 59–69 (2013). https://doi.org/10.1016/j.biopsycho.2013.02.019

    Google Scholar 

  67. Scheinost, D., Stoica, T., Wasylink, S., Gruner, P., Saksa, J., Pittenger, C., Hampson, M.: Resting state functional connectivity predicts neurofeedback response. Front. Behav. Neurosci. 8, 338 (2014). https://doi.org/10.3389/fnbeh.2014.00338

    Article  Google Scholar 

  68. Kamiya, J.: The first communications about operant conditioning of the EEG. J. Neurotherapy 15(1), 65–73 (2011). https://doi.org/10.1080/10874208.2011.545764

    Article  Google Scholar 

  69. Dekker, M.K.J., Sitskoorn, M.M., Denissen, A.J.M., Van Boxtel, G.J.M.: The time-course of alpha neurofeedback training effects in healthy participants. Biol. Psychol. 95(1), 70–73 (2014). https://doi.org/10.1016/j.biopsycho.2013.11.014

    Article  Google Scholar 

  70. Enriquez-Geppert, S., Huster, R.J., Herrmann, C.S.: Boosting brain functions: improving executive functions with behavioral training, neurostimulation, and neurofeedback. Int. J. Psychophysiol. 88(1), 1–16 (2013). https://doi.org/10.1016/j.ijpsycho.2013.02.001

    Article  Google Scholar 

  71. Witte, M., Kober, S.E., Ninaus, M., Neuper, C., Wood, G.: Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training. Front. Hum. Neurosci. 7, 8 (2013). https://doi.org/10.3389/fnhum.2013.00478

    Article  Google Scholar 

  72. Polich, J.: Normal variation of P300 from auditory stimuli. Electroencephalogr. Clin. Neurophysiol./Evoked Potentials 65(3), 236–240 (1986). https://doi.org/10.1016/0168-5597(86)90059-6

    Article  Google Scholar 

  73. Conroy, M.A., Polich, J.: Normative variation of P3a and P3b from a large sample: gender, topography, and response time. J. Psychophysiol. 21(1), 22–32 (2007). https://doi.org/10.1027/0269-8803.21.1.22

    Article  Google Scholar 

  74. Allison, B.Z., Neuper, C.: Could anyone use a BCI? In: Tan, D., Nijholt, A. (eds.) Brain-Computer Interfaces, pp. 35–54 (2010). https://doi.org/10.1007/978-1-84996-272-8

  75. Kober, S.E., Witte, M., Ninaus, M., Neuper, C., Wood, G.: Learning to modulate one’s own brain activity: the effect of spontaneous mental strategies. Fron. Hum. Neurosci. 7, 1–12 (2013). https://doi.org/10.3389/fnhum.2013.00695

    Google Scholar 

  76. Hardman, E., Gruzelier, J., Cheesman, K., Jones, C., Liddiard, D., Schleichert, H., Birbaumer, N.: Frontal interhemispheric asymmetry: self regulation and individual differences in humans. Neurosci. Lett. 221(2–3), 117–120 (1997). https://doi.org/10.1016/S0304-3940(96)13303-6

    Article  Google Scholar 

  77. Roberts, L.E., Birbaumer, N., Rockstroh, B., Lutzenberger, W., Elbert, T.: Self-report during feedback regulation of slow cortical potentials. Psychophysiology 26(4), 392–403 (1989). https://doi.org/10.1111/j.1469-8986.1989.tb01941.x

    Article  Google Scholar 

  78. Daum, I., Rockstroh, B., Birbaumer, N., Elbert, T., Canavan, A., Lutzenberger, W.: Behavioural treatment of slow cortical potentials in intractable epilepsy: neuropsychological predictors of outcome. J. Neurol. Neurosurg. Psychiatry 56(1), 94–97 (1993). https://doi.org/10.1136/jnnp.56.1.94

    Article  Google Scholar 

  79. Wangler, S., Gevensleben, H., Albrecht, B., Studer, P., Rothenberger, A., Moll, G.H., Heinrich, H.: Neurofeedback in children with ADHD: specific event-related potential findings of a randomized controlled trial. Clin. Neurophysiol. (official journal of the International Federation of Clinical Neurophysiology) 122(5), 942–950 (2011). https://doi.org/10.1016/j.clinph.2010.06.036

    Article  Google Scholar 

  80. Nijboer, F., Furdea, A., Gunst, I., Mellinger, J., McFarland, D.J., Birbaumer, N., Kübler, A.: An auditory brain-computer interface (BCI). J. Neurosci. Meth. 167(1), 43–50 (2008). https://doi.org/10.1016/j.jneumeth.2007.02.009

    Article  Google Scholar 

  81. Mathiak, K.A., Alawi, E.M., Koush, Y., Dyck, M., Cordes, J.S., Gaber, T.J., et al.: Social reward improves the voluntary control over localized brain activity in fMRI-based neurofeedback training. Front. Behav. Neurosci. 9, 136 (2015). https://doi.org/10.3389/fnbeh.2015.00136

    Article  Google Scholar 

  82. Gray, J.A.: The neuropsychology of temperament. In: Strelau. J. (ed.) Explorations in Temperament: International Perspectives on Theory and Measurement, pp. 105–128. Plenum Press, London (1991). https://doi.org/10.1007/978-1-4899-0643-4_8

  83. Gray, J.A.: Framework for a taxonomy of psychiatric disorder. In: Van Goozen, S.H.M., van de Poll, N.E., Sergeant, J.A. (eds.) Emotions: Essays on Emotion Theory, pp. 29–59. Lawrance Erlbaum, Hove (1994)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Cognitive Psychology, SWPS University of Social Sciences and Humanities, Warsaw, Poland

    Rafał Łukasz Szewczyk

  2. Department of Experimental Psychology, The John Paul II Catholic University of Lublin, Lublin, Poland

    Marta Ratomska & Marta Jaśkiewicz

Authors
  1. Rafał Łukasz Szewczyk
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marta Ratomska
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marta Jaśkiewicz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rafał Łukasz Szewczyk .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland

    Wojciech P. Hunek

  2. Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland

    Szczepan Paszkiel

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Szewczyk, R.Ł., Ratomska, M., Jaśkiewicz, M. (2018). The Neglected Problem of the Neurofeedback Learning (In)Ability. In: Hunek, W., Paszkiel, S. (eds) Biomedical Engineering and Neuroscience. BCI 2018. Advances in Intelligent Systems and Computing, vol 720. Springer, Cham. https://doi.org/10.1007/978-3-319-75025-5_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-75025-5_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75024-8

  • Online ISBN: 978-3-319-75025-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation