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Using fNIRS for Prefrontal-Asymmetry Neurofeedback: Methods and Challenges

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Book cover Symbiotic Interaction (Symbiotic 2015)

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Abstract

Functional near-infrared spectroscopy (fNIRS) has become increasingly accessible in recent years, which allows this relatively low-cost and portable brain sensing modality for the application of brain-computer interfaces (BCI). Although there is a growing body of research on fNIRS-based BCI utilising users’ covert psychophysiological activity, there is comparably less research on active BCI, where users engage in thinking strategies with the explicit intention of controlling the behaviour of an interactive system. We draw on four empirical studies, where participants received real-time neurofeedback (NF) of left-asymmetric increase in activation in their dorsolateral prefrontal cortex (DL-PFC), which has previously been identified as a correlate of approach-related motivational tendencies. We discuss methodological considerations and challenges, and provide recommendations about brain-signal selection and integration, NF protocol design, post-hoc and real-time applications of NF success criteria, continuous visual feedback, and individualised feedback based on the variations of the brain-signal in a reference condition.

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References

  1. Ayaz, H.: Functional near infrared spectroscopy based brain computer interface. PhD thesis, School of Biomedical Engineering Science & Health Systems, Drexel University (2010)

    Google Scholar 

  2. Ayaz, H., Izzetoglu, M., Shewokis, P.A., Onaral, B.: Sliding-window motion artifact rejection for functional near-infrared spectroscopy. In: Engineering in Medicine and Biology Society (EMBC), pp. 6567–6570. IEEE (2010)

    Google Scholar 

  3. Bunce, S.C., Izzetoglu, M., Izzetoglu, K., Onaral, B., Pourrezaei, K.: Functional near-infrared spectroscopy. IEEE Engineering in Medicine and Biology Magazine 25(4), 54–62 (2006)

    Article  Google Scholar 

  4. Carver, C.S., Harmon-Jones, E.: Anger and approach: Reply to watson (2009) and to tomarken and zald (2009). Psychological Bulletin 135(2), 215–217 (2009)

    Article  Google Scholar 

  5. Cavazza, M., Aranyi, G., Charles, F.: Brain-computer interfacing to heuristic search: first results. In: Vicente, J.M.F., Álvarez-Sánchez, J.R., de la Paz López, F., Toledo-Moreo, F.J., Adeli, H. (eds.) IWINAC 2015, Part I. LNCS, vol. 9107, pp. 312–321. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  6. Cavazza, M., Aranyi, G., Charles, F., Porteous, J., Gilroy, S., Jackont, G., Klovatch, I., Raz, G., Keynan, N.J., Cohen, A., et al.: Frontal alpha asymmetry neurofeedback for brain-computer interfaces. In: Brain-Computer Interface Conference (2014)

    Google Scholar 

  7. Cavazza, M., Aranyi, G., Charles, F., Porteous, J., Gilroy, S., Klovatch, I., Jackont, G., Soreq, E., Keynan, N.J., Cohen, A., Raz, G., Hendler, T.: Towards empathic neurofeedback for interactive storytelling. In: Finlayson, M.A., Meister, J.C., Bruneau, E.G. (eds.) 2014 Workshop on Computational Models of Narrative of OpenAccess Series in Informatics (OASIcs), Dagstuhl, Germany, vol. 41, pp. 42–60. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik (2014)

    Google Scholar 

  8. Doi, H., Nishitani, S., Shinohara, K.: NIRS as a tool for assaying emotional function in the prefrontal cortex. Frontiers in Human Neuroscience 7, Article 770 (2013)

    Google Scholar 

  9. Esfahani, E.T., Sundararajan, V.: Using brain-computer interfaces to detect human satisfaction in human-robot interaction. International Journal of Humanoid Robotics 8(01), 87–101 (2011)

    Article  Google Scholar 

  10. Field, A.: Discovering statistics using SPSS. Sage (2009)

    Google Scholar 

  11. Garcia-Molina, G., Tsoneva, T., Nijholt, A.: Emotional brain-computer interfaces. International Journal of Autonomous and Adaptive Communications Systems 6(1), 9–25 (2013)

    Article  Google Scholar 

  12. Gilroy, S.W., Porteous, J., Charles, F., Cavazza, M., Soreq, E., Raz, G., Ikar, L., Or-Borichov, A., Ben-Arie, U., Klovatch, I., et al.: A brain-computer interface to a plan-based narrative. In: International Joint Conference on Artificial Intelligence (IJCAI), pp. 1997–2005. AAAI Press (2013)

    Google Scholar 

  13. Harmon-Jones, E.: Clarifying the emotive functions of asymmetrical frontal cortical activity. Psychophysiology 40(6), 838–848 (2003)

    Article  Google Scholar 

  14. Karran, A.J., Fairclough, S.H., Gilleade, K.: A framework for psychophysiological classification within a cultural heritage context using interest. ACM Transactions on Computer-Human Interaction (TOCHI) 21(6), Article 34 (2015)

    Google Scholar 

  15. Lindquist, K.A., Wager, T.D., Kober, H., Bliss-Moreau, E., Barrett, L.F.: The brain basis of emotion: a meta-analytic review. Behavioral and Brain Sciences 35(03), 121–143 (2012)

    Article  Google Scholar 

  16. Morinaga, K., Akiyoshi, J., Matsushita, H., Ichioka, S., Tanaka, Y., Tsuru, J., Hanada, H.: Anticipatory anxiety-induced changes in human lateral prefrontal cortex activity. Biological Psychology 74(1), 34–38 (2007)

    Article  Google Scholar 

  17. Mühl, C., Heylen, D.: Cross-modal elicitation of affective experience. In: 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009, pp. 1–12. IEEE (2009)

    Google Scholar 

  18. Naseer, N., Hong, K.: fNIRS-based brain-computer interfaces: a review. Frontiers in Human Neuroscience 9, Article 3 (2015)

    Google Scholar 

  19. Rosenfeld, J.P., Cha, G., Blair, T., Gotlib, I.H.: Operant (biofeedback) control of left-right frontal alpha power differences: Potential neurotherapy for affective disorders. Biofeedback and Self-Regulation 20(3), 241–258 (1995)

    Article  Google Scholar 

  20. Ruocco, A.C., Rodrigo, A.H., Lam, J., Di Domenico, S.I., Graves, B., Ayaz, H.: A problem-solving task specialized for functional neuroimaging: validation of the Scarborough adaptation of the Tower of London (S-TOL) using near-infrared spectroscopy. Frontiers in Human Neuroscience 8, Article 185 (2014)

    Google Scholar 

  21. Sakatani, K., Takemoto, N., Tsujii, T., Yanagisawa, K., Tsunashima, H.: Nirs-based neurofeedback learning systems for controlling activity of the prefrontal cortex. In: Oxygen Transport to Tissue XXXV, pp. 449–454. Springer (2013)

    Google Scholar 

  22. Sarkheil, P., Zilverstand, A., Kilian-Hütten, N., Schneider, F., Goebel, R., Mathiak, K.: fMRI feedback enhances emotion regulation as evidenced by a reduced amygdala response. Behavioural Brain Research 281, 326–332 (2015)

    Article  Google Scholar 

  23. Sitaram, R., Caria, A., Birbaumer, N.: Hemodynamic brain-computer interfaces for communication and rehabilitation. Neural Networks 22(9), 1320–1328 (2009)

    Article  Google Scholar 

  24. Solovey, E.T., Girouard, A., Chauncey, K., Hirshfield, L.M., Sassaroli, A., Zheng, F., Fantini, S., Jacob, R.J.: Using fNIRS brain sensing in realistic HCI settings: experiments and guidelines. In: the 22nd Annual ACM Symposium on User Interface Software and Technology, pp. 157–166. ACM (2009)

    Google Scholar 

  25. Spielberg, J.M., Miller, G.A., Warren, S.L., Engels, A.S., Crocker, L.D., Banich, M.T., Sutton, B.P., Heller, W.: A brain network instantiating approach and avoidance motivation. Psychophysiology 49(9), 1200–1214 (2012)

    Article  Google Scholar 

  26. Tuscan, L.-A., Herbert, J.D., Forman, E.M., Juarascio, A.S., Izzetoglu, M., Schultheis, M.: Exploring frontal asymmetry using functional near-infrared spectroscopy: a preliminary study of the effects of social anxiety during interaction and performance tasks. Brain Imaging and Behavior 7(2), 140–153 (2013)

    Article  Google Scholar 

  27. Wehbe, R.R., Kappen, D.L., Rojas, D., Klauser, M., Kapralos, B., Nacke, L.E.: EEG-based assessment of video and in-game learning. In: CHI 2013 Extended Abstracts on Human Factors in Computing Systems, pp. 667–672. ACM (2013)

    Google Scholar 

  28. Zotev, V., Krueger, F., Phillips, R., Alvarez, R.P., Simmons, W.K., Bellgowan, P., Drevets, W.C., Bodurka, J.: Self-regulation of amygdala activation using real-time fmri neurofeedback. PloS One 6(9), e24522 (2011)

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Computing, Teesside University, Borough Road, Middlesbrough, TS1 3BA, UK

    Gabor Aranyi, Marc Cavazza & Fred Charles

Authors
  1. Gabor Aranyi
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  2. Marc Cavazza
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  3. Fred Charles
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Correspondence to Gabor Aranyi .

Editor information

Editors and Affiliations

  1. Sekr. MAR 4-3, Rm 4.041, TU Berlin, Berlin, Berlin

    Benjamin Blankertz

  2. Dept of Computer Science, University of Helsinki, Helsinki

    Giulio Jacucci

  3. Università di Padova, Padua

    Luciano Gamberini

  4. Università di Padova, Padua

    Anna Spagnolli

  5. Department of Psychology, Goldsmiths University, London

    Jonathan Freeman

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Aranyi, G., Cavazza, M., Charles, F. (2015). Using fNIRS for Prefrontal-Asymmetry Neurofeedback: Methods and Challenges. In: Blankertz, B., Jacucci, G., Gamberini, L., Spagnolli, A., Freeman, J. (eds) Symbiotic Interaction. Symbiotic 2015. Lecture Notes in Computer Science(), vol 9359. Springer, Cham. https://doi.org/10.1007/978-3-319-24917-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-24917-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24916-2

  • Online ISBN: 978-3-319-24917-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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