New Methodology of Brain Computer Interface for Rehabilitation of Obsessive-Compulsive Disorder

Research Article
Open access

New Methodology of Brain Computer Interface for Rehabilitation of Obsessive-Compulsive Disorder

Zizhen Li 1*
  • 1 Upper Canada College    
  • *corresponding author zli25@ucc.on.ca
Published on 26 October 2023 | https://doi.org/10.54254/2753-7048/13/20230865
LNEP Vol.13
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-83558-051-6
ISBN (Online): 978-1-83558-052-3

Abstract

This article reviews past papers about obsessive-compulsive disorder (OCD), brain-computer interface (BCI) and experimental design guidelines, then proposes a new methodology for implementing BCI as a treatment for BCI patients and predicts possible results for this method. OCD is a neuropsychiatric disorder that leads patients to perform certain compulsions that relieve their feeling of impending doom. Other symptoms include intrusive thoughts and doubts. A new methodology was proposed in this paper because the most common treatment is currently limited to medication and cognitive behavioral therapy. It is predicted that, with the methodology proposed in this paper, OCD patients will be able to have reduced symptoms and develop an increase in awareness of performing specific actions to alleviate symptoms. There are some limitations to this new methodology, as the experiment was not performed, and thus there were no actual results to back up the proposal. This method proposal is only a theoretical approach, and more research must be done before implementing BCI as a treatment for OCD.

Keywords:

neuroscience, Brain-computer interface, OCD, method proposal

Li,Z. (2023). New Methodology of Brain Computer Interface for Rehabilitation of Obsessive-Compulsive Disorder. Lecture Notes in Education Psychology and Public Media,13,112-119.
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References

[1]. Stein, D. J. (2002). Obsessive-compulsive disorder. The Lancet, 360(9330), 397-405.

[2]. Jenike, M. A. (2004). Obsessive–compulsive disorder. New England Journal of Medicine, 350(3), 259-265.

[3]. Decloedt, E. H., & Stein, D. J. (2010). Current trends in drug treatment of obsessive–compulsive disorder. Neuropsychiatric disease and treatment, 233-242.

[4]. Shanechi, M. M. (2019). Brain–machine interfaces from motor to mood. Nature neuroscience, 22(10), 1554-1564.

[5]. Lim, C. G., Lee, T. S., Guan, C., Fung, D. S. S., Zhao, Y., Teng, S. S. W., Krishnan, K. R. R. (2012). A brain-computer interface based attention training program for treating attention deficit hyperactivity disorder. PloS one, 7(10), e46692.

[6]. American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). American Psychiatric Association Press.

[7]. Substance Abuse and Mental Health Services Administration. (2016). Impact of the DSM-IV to DSM-5 Changes on the National Survey on Drug Use and Health. Substance Abuse and Mental Health Services Administration (US) Press.

[8]. Mathis, M. A. de., Alvarenga, P. de., Funaro, G., Torresan, R. C., Moraes, I., Torres, A. R., Zilberman, M. L., Hounie, A. G. (2011). Gender differences in obsessive-compulsive disorder: a literature review. Brazilian Journal of Psychiatry, 33(Braz. J. Psychiatry, 2011 33(4)), 390–399.

[9]. Lebedev, M. A., Nicolelis, M. A. (2006). Brain–machine interfaces: past, present and future. TRENDS in Neurosciences, 29(9), 536-546.

[10]. Shih, J. J., Krusienski, D. J., Wolpaw, J. R. (2012). Brain-computer interfaces in medicine. Mayo Clinic proceedings, 87(3), 268–279.

[11]. Roc, A., Pillette, L., Mladenovic, J., Benaroch, C., N’Kaoua, B., Jeunet, C., Lotte, F. (2021). A review of user training methods in brain computer interfaces based on mental tasks. Journal of Neural Engineering, 18(1), 011002.

[12]. Allen, A., King, A., Hollander, E. (2003). Obsessive-compulsive spectrum disorders. Dialogues in clinical neuroscience, 5(3), 259–271.

[13]. Kamaradova, D., Brunovsky, M., Prasko, J., Horacek, J., Hajda, M., Grambal, A., Latalova, K. (2018). EEG correlates of induced anxiety in obsessive-compulsive patients: comparison of autobiographical and general anxiety scenarios. Neuropsychiatric disease and treatment, 14, 2165–2174.

[14]. Ball, T., Kern, M., Mutschler, I., Aertsen, A., & Schulze-Bonhage, A. (2009). Signal quality of simultaneously recorded invasive and non-invasive EEG. Neuroimage, 46(3), 708-716.

Cite this article

Li,Z. (2023). New Methodology of Brain Computer Interface for Rehabilitation of Obsessive-Compulsive Disorder. Lecture Notes in Education Psychology and Public Media,13,112-119.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Educational Innovation and Philosophical Inquiries

ISBN：978-1-83558-051-6(Print) / 978-1-83558-052-3(Online)
Editor：Javier Cifuentes-Faura, Enrique Mallen
Conference website: https://www.iceipi.org/
Conference date: 7 August 2023
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.13
ISSN：2753-7048(Print) / 2753-7056(Online)

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References

[1]. Stein, D. J. (2002). Obsessive-compulsive disorder. The Lancet, 360(9330), 397-405.

[2]. Jenike, M. A. (2004). Obsessive–compulsive disorder. New England Journal of Medicine, 350(3), 259-265.

[3]. Decloedt, E. H., & Stein, D. J. (2010). Current trends in drug treatment of obsessive–compulsive disorder. Neuropsychiatric disease and treatment, 233-242.

[4]. Shanechi, M. M. (2019). Brain–machine interfaces from motor to mood. Nature neuroscience, 22(10), 1554-1564.

[5]. Lim, C. G., Lee, T. S., Guan, C., Fung, D. S. S., Zhao, Y., Teng, S. S. W., Krishnan, K. R. R. (2012). A brain-computer interface based attention training program for treating attention deficit hyperactivity disorder. PloS one, 7(10), e46692.

[6]. American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). American Psychiatric Association Press.

[7]. Substance Abuse and Mental Health Services Administration. (2016). Impact of the DSM-IV to DSM-5 Changes on the National Survey on Drug Use and Health. Substance Abuse and Mental Health Services Administration (US) Press.

[8]. Mathis, M. A. de., Alvarenga, P. de., Funaro, G., Torresan, R. C., Moraes, I., Torres, A. R., Zilberman, M. L., Hounie, A. G. (2011). Gender differences in obsessive-compulsive disorder: a literature review. Brazilian Journal of Psychiatry, 33(Braz. J. Psychiatry, 2011 33(4)), 390–399.

[9]. Lebedev, M. A., Nicolelis, M. A. (2006). Brain–machine interfaces: past, present and future. TRENDS in Neurosciences, 29(9), 536-546.

[10]. Shih, J. J., Krusienski, D. J., Wolpaw, J. R. (2012). Brain-computer interfaces in medicine. Mayo Clinic proceedings, 87(3), 268–279.

[11]. Roc, A., Pillette, L., Mladenovic, J., Benaroch, C., N’Kaoua, B., Jeunet, C., Lotte, F. (2021). A review of user training methods in brain computer interfaces based on mental tasks. Journal of Neural Engineering, 18(1), 011002.

[12]. Allen, A., King, A., Hollander, E. (2003). Obsessive-compulsive spectrum disorders. Dialogues in clinical neuroscience, 5(3), 259–271.

[13]. Kamaradova, D., Brunovsky, M., Prasko, J., Horacek, J., Hajda, M., Grambal, A., Latalova, K. (2018). EEG correlates of induced anxiety in obsessive-compulsive patients: comparison of autobiographical and general anxiety scenarios. Neuropsychiatric disease and treatment, 14, 2165–2174.

[14]. Ball, T., Kern, M., Mutschler, I., Aertsen, A., & Schulze-Bonhage, A. (2009). Signal quality of simultaneously recorded invasive and non-invasive EEG. Neuroimage, 46(3), 708-716.

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