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Acceleration of Therapeutic Use of Brain Computer Interfaces by Development for Gaming

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Intelligent Technologies for Interactive Entertainment (INTETAIN 2020)

Abstract

Brain computer interfaces (BCI) are the foundation of numerous therapeutic applications that use brain signals to control programs or to translate into feedback. While the technical creation of these systems may be done in the lab with limited design expertise, the translation into a therapeutic calls for the engagement of game designers. This is evermore true for BCI in virtual reality (VR). VR has the potential to elevate BCI in embodiment and immersiveness. These traits are key for neurofeedback therapies for neurobehavioral conditions like anxiety. The cooperation between game designers and scientists overcomes the hurdle in transforming an experiment into a tool. More often than not, BCI on the road to therapeutics or other practical applications are launched in original or adapted games to demonstrate the usability of the platform. In the absence of partnerships like this, slow or stalled progress ensues on the scientific translation. We demonstrate this principle in a range of examples and in-depth with Mandala Flow State—a VR neurofeedback system that first served as an interactive installation in an art museum.

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References

  1. van Gerven, F.: The brain-computer interface cycle. J. Neural Eng. 6(4), 041001 (2009)

    Article  Google Scholar 

  2. Andersen, R.: From thought to action: the brain-machine interface in posterior parietal cortex. Proc. Natl. Acad. Sci. USA 116(52), 26274–26279 (2019)

    Article  Google Scholar 

  3. Rohani, D.: Brain-computer interface using P300 and virtual reality: a gaming approach for treating ADHD. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL (2014)

    Google Scholar 

  4. Holz, E.: Brain–computer interface controlled gaming: evaluation of usability by severely motor restricted end-users. Artif. Intell. Med. 59(2), 111–120 (2013)

    Article  Google Scholar 

  5. Scherer, R., Faller, J., Balderas, D.: Brain–computer interfacing: more than the sum of its parts. Soft Comput. 17, 317–331 (2013)

    Article  Google Scholar 

  6. Thibault, R.T., Lifshitz, M., Raz, A.: The self-regulating brain and neurofeedback: experimental science and clinical promise. Cortex 74, 247–261 (2016)

    Article  Google Scholar 

  7. Hammond, D.C.: Neurofeedback treatment of depression and anxiety. J. Adult Dev. 12(2/3), 131–137 (2005)

    Article  Google Scholar 

  8. Orndorff-Plunkett, F., SIngh, F., Aragon, O.R., Pineda, J.: Assessing the effectiveness of neurofeedback training in the context of clinical and social neuroscience. Brain Sci. 7(96) (2017)

    Google Scholar 

  9. Rashid, M., Sulaiman, N., Abdul Majeed, A.P., Musa, R.M.: Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review. Front. Neurorobot. 14(25) (2020)

    Google Scholar 

  10. University of Twente, “BMS Lab” (2020). https://bmslab.utwente.nl/

  11. Nijholt, A., Plass-Oude Bos, D., Reuderink, B.: Turning shortcomings into challenges: brain-computer interfaces for games. Entertainment Comput. 1, 85–94 (2009)

    Google Scholar 

  12. Interactive Productline Team, “Mindball Play” Interactive Productline IP AB (2018)

    Google Scholar 

  13. Gazner, P.D., et al.: Restoring the sense of touch using a sensorimotor demultiplexing neural interface. Cell 181(4), P763–773 (2020)

    Google Scholar 

  14. Sitaram, R., et al.: Closed-loop brain training: the science of neurofeedback. Nat. Rev. Neurosci. 18(2) (2017)

    Google Scholar 

  15. Krepel, N., Egtberts, T., Sack, A.T., Heinrich, H., Ryan, M., Arns, M.: A multicenter effectiveness trial of QEEG-informed neurofeedback in ADHD: replication and treatment prediction. Neuroimage Clin. 28(102399) (2020)

    Google Scholar 

  16. Emotiv, “Emotiv.com” (2020). https://www.emotiv.com/category/independent-studies/. Accessed 5 Oct 2020

  17. Alchalabi, A.E., Eddin, A.N., Shirmohammadi, S.: More attention, less deficit: wearable EEG-based serious game for focus improvement. In: IEEE 5th International Conference on Serious Games and Applications for Health (SeGAH), Perth, WA (2017)

    Google Scholar 

  18. Wijnhoven, L.A., Creemers, D.H., Engels, R.C., Granic, I.: The effect of the video game Mindlight on anxiety symptoms in children with an Autism Spectrum Disorder. BMC Psychiatry 15(1), 138 (2015)

    Article  Google Scholar 

  19. Wijnhoven, L.A., et al.: Effects of the video game ‘Mindlight’ on anxiety of children with an autism spectrum disorder: a randomized controlled trial. J. Behav. Ther. Exp. Psychiatry 68, 101548 (2020)

    Article  Google Scholar 

  20. MyndLift, “Myndlift” (2020). https://www.myndlift.com/

  21. Perez-Marcos, D.: Virtual reality experiences, embodiment, videogames and their dimensions in neurorehabilitation. NeuroEngineering Rehabil. 15(113) (2018)

    Google Scholar 

  22. “ERA-LEARN”. https://www.era-learn.eu/network-information/networks/eurostars/cut-off-11-09-2014/electrophysiological-and-virtual-reality-assembly-for-neurorehabilitation. Accessed 5 Dec 2020

  23. Marzbani, H., Marateb, H.R., Mansourian, M.: Methodological note: neurofeedback: a comprehensive review on system design, methodology and clinical applications. Basic Clin. Neurosci. 7(2), 143–158 (2016)

    Google Scholar 

  24. Micoulaud-Franchi, F.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. 13(8), 906 (2014)

    Google Scholar 

  25. Patel, K., et al.: Effects of neurofeedback in the management of chronic pain: a systematic review and meta-analysis of clinical trials. Eur. J. Pain (2020)

    Google Scholar 

  26. Adolfsson, A., Bernal, J., Ackerman, M., Scott, J.: Musical mandala mindfulness: a generative biofeedback experience. In: Musical Metacreation, Charlotte, NC (2019)

    Google Scholar 

  27. Harvard University, “Creating a Mandala” (2020). https://pluralism.org/creating-a-mandala

  28. “Night of Ideas” (2019). https://www.nightofideassf.com/

  29. BrainMaster Technologies (2020). https://www.brainmaster.com/product/zukors-drive-clinical/

  30. Interaxon, “ChooseMuse” (2020). www.choosemuse.com

  31. Scott, J., Sims, M., Harrold, L., Jacobus, N., Avelar, C.: Transformation of Buddhist Mandalas into a Virtual Reality Installation, Leonardo, submitted

    Google Scholar 

  32. Bossenbroek, R., Wols, A., Weerdmeester, J., Lichtwarck-Aschoff, A., Granic, I., van Rooij, M.: Efficacy of a virtual reality biofeedback game (DEEP) to reduce anxiety and disruptive classroom behavior: single-case study. JMIR Ment. Health 7(3), e16066 (2020)

    Article  Google Scholar 

  33. Deloitte, “Digital media trends survey” Deloitte.Insights (2020)

    Google Scholar 

  34. Flynt, J.: “3D Insider”, 31 May 2019. https://3dinsider.com/virtual-reality-statistics/. Accessed 5 Oct 2020

  35. Val-Calvo, M., Alvarez-Sanches, J.R., Ferrandez-Vicente, J.M., Fernandez, E.: Optimization of real-time EEG artifact removal and emotion estimation for human-robot interaction applications. Front. Comput. Neurosci. 13(80) (2019)

    Google Scholar 

  36. Emotiv, “Emotiv.com” (2020). https://www.emotiv.com/our-technology/. Accessed 5 Oct 2020

  37. Jackson, M.M., Mappus, R.: Applications for brain-computer interfaces. In: Tan, D., Nijholt, A. (eds.) Brain-Computer Interfaces, pp. 89–103. Springer, London (2010). https://doi.org/10.1007/978-1-84996-272-8_6

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Santa Clara University, Santa Clara, CA, 95053, USA

    Julia A. Scott

  2. Theia Interactive, Chico, CA, 95928, USA

    Max Sims

Authors
  1. Julia A. Scott
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  2. Max Sims
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Correspondence to Julia A. Scott .

Editor information

Editors and Affiliations

  1. Santa Clara University, Santa Clara, CA, USA

    Navid Shaghaghi

  2. INFN Sezione di Torino, Torino, Italy

    Fabrizio Lamberti

  3. Santa Clara University, Santa Clara, FL, USA

    Brian Beams

  4. Santa Clara University, Santa Clara, FL, USA

    Reza Shariatmadari

  5. Santa Clara University, Santa Clara, CA, USA

    Ahmed Amer

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Scott, J.A., Sims, M. (2021). Acceleration of Therapeutic Use of Brain Computer Interfaces by Development for Gaming. In: Shaghaghi, N., Lamberti, F., Beams, B., Shariatmadari, R., Amer, A. (eds) Intelligent Technologies for Interactive Entertainment. INTETAIN 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 377. Springer, Cham. https://doi.org/10.1007/978-3-030-76426-5_18

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  • DOI: https://doi.org/10.1007/978-3-030-76426-5_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-76425-8

  • Online ISBN: 978-3-030-76426-5

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