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Development of a BCI-based gaming application to enhance cognitive control in psychiatric disorders

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Abstract

Assessing an individual’s attentional capabilities in an interactive way with the help of EEG-based signal and utilizing it to enhance cognitive control in obsessive–compulsive disorder is the primary focus of this paper. To realize this objective, BCI technology is used by studying the EEG signals emitted by the brain and processing the data in real time. In this paper, we presented the development of a BCI-based gaming application with a mode of interactive media that takes advantage of the EEG signal gathered from the hardware used. Further, we discussed the scope of enhancing cognitive control capabilities in various psychiatric disorders in an interactive way with the help of the developed application.

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References

  1. American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders: DSM-5, 5th edition, pp 237–242. American Psychiatric Publishing, Washington. ISBN 978-0-89042-555-8

  2. Francesco C, Dumoulin J, Mugellini E, Khaled OA, Ingold R (2012) A self-paced BCI system to control an electric wheelchair: evaluation of a commercial, low-cost EEG device. In: ISSNIP biosignals and biorobotics conference: biosignals and robotics for better and safer living (BRC), pp 1–6

  3. Fineberg NA et al (2014) New developments in human neurocognition: clinical, genetic, and brain imaging correlates of impulsivity and compulsivity. CNS Spectr 19(1):69–89

    Article  Google Scholar 

  4. The National Institute of Mental Health (NIMH) (2016) What is obsessive-compulsive disorder (OCD)? U.S. National Institutes of Health (NIH). Archived from the original on 23 July 2016. Accessed 24 July 2016

  5. Fedwa L, Eid MA, El-Saddik A (2014) An overview of serious games. Int J Comput Games Technol 358152(1–358152):15

    Google Scholar 

  6. Moreno-Ger P, Martinez-Ortiz I, Freire M, Manero B, Manjon BF (2014) Serious games: a journey from research to application. In: 2014 IEEE Frontiers in education conference (FIE) proceedings, pp 1–4

  7. Anton N (2008) BCI for games: a ’state of the art’ survey. In: ICEC, pp 225–228

  8. Alexander DB, Sloot LH, Mansvelder HD, Linkenkaer-Hansen K (2012) EEG biofeedback as a tool to modulate arousal: trends and perspectives for treatment of ADHD and insomnia. Neuroimaging Cogn Clin Neurosci 3:431–454

    Google Scholar 

  9. Michal T (2002) Fundamentals of EEG measurement. Meas Sci Rev 2(Section 2):1–11

    Google Scholar 

  10. Dutta S, Banerjee T, Dutta Roy N, Chowdhury B (2019) Development of a BCI based application using EEG to assess attentional control. In: Proceedings of global AI congress, AISC book series, vol 1112, pp 659–670

  11. Dessy E, Mairesse O, van Puyvelde M, Cortoos A, Neyt X, Pattyn N (2020) Train your brain? Can we really selectively train specific EEG frequencies with neurofeedback training. Front Hum Neurosci 14:22. https://doi.org/10.3389/fnhum.2020.00022

    Article  Google Scholar 

  12. Zoefel B, Huster RJ, Herrmann CS (2011) Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance. NeuroImage 54(2):1427–1431

    Article  Google Scholar 

  13. Miller EK, Cohen JD (2001) An integrative theory of prefrontal cortex function. Annu. Rev. Neurosci. 24:167–202. https://doi.org/10.1146/annurev.neuro.24.1.167

    Article  Google Scholar 

  14. Goodman WK, Price LH, Rasmussen SA, Mazure C et al (1989) The Yale-Brown obsessive compulsive scale. I. Development, use, and reliability. Arch Gen Psychiatry 46(11):1006–1011

    Article  Google Scholar 

  15. Mataix-Cols D, Lawrence NS, Wooderson S, Speckens A, Phillips ML (2009) The maudsley obsessive-compulsive stimuli set: validation of a standardized paradigm for symptom-specific provocation in obsessive-compulsive disorder. Psychiatry Res. 168:238

    Article  Google Scholar 

  16. Lang PJ, Bradley MM, Cuthbert BN (1997) International affective picture system (IAPS): technical manual and affective ratings. NIMH Center for the Study of Emotion and Attention, New York 1:39–58. Accessed May 2015

  17. Audrey A, Barnes E, Bethel CL, Carruth DW, Kocturova M, Pleva M, Juhar J, (2019) Accessible electroencephalograms (EEGs): a comparative review with OpenBCI’s Ultracortex Mark IV Headset. In: 29th International conference radioelektronika (RADIOELEKTRONIKA), pp 1–6

  18. Kumar JS, Natarajan P, Bhuvaneswari R (2012) Analysis of electroencephalography (EEG) signals and its categorization—a study. Procedia Eng 38:2525–2536

    Article  Google Scholar 

  19. Klem GH, Lüders HO, Jasper HH, Elger CE (1958) The ten-twenty electrode system of the International Federation. The international federation of clinical neurophysiology. Electroencephalogr Clin Neurophysiol Supplement 52:3–6

    Google Scholar 

  20. Cvijetic S (2019) What are beta brainwaves? Improve focus and motivation with beta brainwave entrainment. https://owlcation.com/stem/What-are Beta-Brain-Waves-Focus-and-Motivation-with-Beta-brainwave-entrainment

  21. Craig A, Tran Y, Wijesuriya N, Nguyen HT (2012) Regional brain wave activity changes associated with fatigue. Psychophysiology 49–4:574–82

    Article  Google Scholar 

  22. Robert E, Dustman R (1962) Boswell and Paul B. Porter, Beta brain waves as an index of alertness. Science 137(3529):533–4

    Article  Google Scholar 

  23. Sun W, OpenBCI Focus detection algorithm and Focus Visualization Widget (2019). https://openbci.com/community/focus-visualization-widget/

  24. OpenBCI Software Documentation (2019). https://docs.openbci.com/OpenBCI%20Software/00-OpenBCISoftware

  25. Rapp AM, Bergman RL, Piacentini J, McGuire JF (2016) Evidence-based assessment of obsessive-compulsive disorder. J Cent Nerv Syst Dis 8:13–29

    Article  Google Scholar 

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Acknowledgements

The study was longitudinal and randomized controlled in design. The study was done during 2016–2019 at Institute of Neuroscience, Kolkata, Indian Institute of Engineering Science and Technology, Shibpur and Department of Computer Science & Engineering, Institute of Engineering & Management, Salt Lake, Kolkata. The authors would like to thank all the participating institutions for their contributions in this study by providing access to the laboratories. Procedure for ethical approval was followed in Institute of Neuroscience, Kolkata.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, India

    Sayan Dutta, Tanishq Banerjee & Nilanjana Dutta Roy

  2. AMRI Hospitals, Saltlake, Kolkata, India

    Bappaditya Chowdhury

  3. Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur, India

    Arindam Biswas

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  1. Sayan Dutta
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  2. Tanishq Banerjee
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  3. Nilanjana Dutta Roy
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  4. Bappaditya Chowdhury
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  5. Arindam Biswas
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Correspondence to Nilanjana Dutta Roy.

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Dutta, S., Banerjee, T., Roy, N.D. et al. Development of a BCI-based gaming application to enhance cognitive control in psychiatric disorders. Innovations Syst Softw Eng 17, 99–107 (2021). https://doi.org/10.1007/s11334-020-00370-7

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  • DOI: https://doi.org/10.1007/s11334-020-00370-7

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