Neurofeedback During Creative Expression as a Therapeutic Tool

  • Stephanie M. Scott
  • Lukas GehrkeEmail author
Part of the Springer Series on Bio- and Neurosystems book series (SSBN, volume 10)


Engaging users within therapeutic and rehabilitative trainings is a challenge towards sparking, and maintaining motivation. We explored how electroencephalographic (EEG) signals may be used to engage patients, and promote creative rehabilitation and therapeutic interventions. We introduce a proof-of-concept measuring EEG during therapeutic drawing to adapt an interactive canvas online.


Neurofeedback EEG Creative expression Therapeutic technologies Neurorehabilitation tools 


  1. 1.
    Sonke, J.: Professionalizing the arts in healthcare field. In: Lambert, P.D. (ed.) Managing Arts Programs in Healthcare, pp. 32–44. Routledge, New York (2016)Google Scholar
  2. 2.
    National Organization for Arts in Health (2017) Arts, Health, and Well-Being in America.
  3. 3.
    Cox, R., Depoe, S.: Emergence and growth of the “field” of environmental communications. In: Hansen, A., Cox, R. (eds.) The Routledge Handbook of Environment and Communication, pp. 13–25. Routledge, London (2015)Google Scholar
  4. 4.
    Webster, A.: Innovative health technologies and the social: redefining health, medicine and the body. Curr. Sociol. 50(3), 443–445 (2002)CrossRefGoogle Scholar
  5. 5.
    Winograd, T., Flores, F.: Understanding computers and cognition: a new foundation for design. Ablex Pub, Norwood, New Jersey (1986)Google Scholar
  6. 6.
    Zickler, C., Halder, S., Kleih, S.C., et al.: Brain painting: usability testing according to the user-centered design in end users with severe motor paralysis. Artif. Intell. Med. 59, 99–110.
  7. 7.
    Kandel, E.: Reductionism in Art and Brain Science: Bridging the Two Cultures. Columbia University Press, New York (2016)CrossRefGoogle Scholar
  8. 8.
    Potash, J.S.: Guided Relational Viewing: Art Therapy for Empathy and Social Change to Increase Understanding of People Living with Mental Illness. Dissertation, University of Hong Kong (2010)Google Scholar
  9. 9.
    Zich, C., Debener, S., Schweinitz, C., et al.: High-intensity chronic stroke motor imagery neurofeedback training at home: three case reports. Clin. EEG Neurosci. 48:403–412 (2017).
  10. 10.
    Orndorff-Plunkett, F., Singh, F., Aragón, O.R. et al.: Assessing the effectiveness of neurofeedback training in the context of clinical and social neuroscience. Brain Sci. (2017).
  11. 11.
    Ros, T., Munneke, M.A., Ruge, D., et al.: Endogenous control of waking brain rhythms induces neuroplasticity in humans. Eur. J. Neurosci. (2010).
  12. 12.
    Cohen, M.X.: Comparison of linear spatial filters for identifying oscillatory activity in multichannel data. J Neurosci. Meth. 278, 1–12 (2017).
  13. 13.
    Monge-Pereira, E., Molina-Rueda, F., Rivas-Montero, F.M., et al.: Electroencephalography as a post-stroke assessment method: an updated review. Neurol. English Edn. 32(1), 40–49 (2017).
  14. 14.
    Lizio, R., Vecchio, F., Giovanni, B.F., et al.: Electroencephalographic rhythms in alzheimer’s disease. Int. J. Alzheimer’s Dis. (2010).
  15. 15.
    Sonke, J., Pesata, V., Nakazibwe, V., Ssenyonjo, J., et al.: The arts and health communication in Uganda: a light under the table. Health Commun. 33(4), 401–08 (2018).
  16. 16.
    Gilbert, J.K., Stocklmayer, S.: Preface: the changing face of science communication. In: Gilbert, J.K., Stocklmayer, S. (eds.) Communication and Engagement with Science and Technology: Issues and Dilemmas, a Reader in Science Communication. Routledge, New York, pp viii–xi (2013)Google Scholar
  17. 17.
    Parrott, R., Kreuter, M.W.: Multidisciplinary, interdisciplinary, and transdisciplinary approaches to health communication: where do we draw the lines? In: Thompson, T.L., Parrott, R., Nussbaum, J.F. (eds.) The Routledge Handbook of Health Communication, 2nd edn, pp. 3–17. Lawrence Erbaum Associates, New York (2011)Google Scholar
  18. 18.
    Scott, S.M., Raftery, C., Anderson, C.: Advancing the rehabilitative and therapeutic potential of BCI and noninvasive sensing systems. In: Nijholt, A. (ed.) Brain Art. Springer, Cham (2019)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Media CommunicationsColorado State UniversityFort CollinsUSA
  2. 2.Biological Psychology and NeuroergonomicsTechnische Universität BerlinBerlinGermany

Personalised recommendations