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Online Adaptive Synchronous BCI System with Attention Variations

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Brain-Computer Interface Research

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

Abstract

In real-life scenarios, outside of the laboratory setting, the performance of brain-computer interface (BCI) systems is influenced by the user’s mental state such as attentional diversion. Here, we propose a novel online BCI system able to adapt with variations in the users’ attention during real-time movement execution. Electroencephalography (EEG) signals were recorded from twelve channels in twelve healthy participants and two stroke patients while performing 50 trials of ankle dorsiflexion simultaneously with an auditory oddball task. For each participant, the selected channels, classifiers and features from the offline mode were used in the online mode to predict the attention status. For both healthy controls and subacute stroke patients, feedback to the user on attentional status reduced the amount of attentional diversion created by the oddball task. The findings presented here demonstrate that the users’ attention can be monitored in a fully online BCI system, and further, that real-time neurofeedback on the attentional state of the user can be implemented to focus the attention of the user back onto the main task of the BCI for neuromodulation. Monitoring the users’ attention status will have a major impact in the BCI for neurorehabilitation area in the future.

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References

  1. M. Esghaei, M.R. Daliri, Decoding of visual attention from LFP signals of macaque MT. PLoS ONE 9(6), 1–10 (2014)

    Article  Google Scholar 

  2. M.S. Treder, B. Blankertz, (C)overt attention and visual speller design in an ERP-based brain-computer interface. Behav. Brain Funct. 6(1), 28 (2010)

    Article  Google Scholar 

  3. D. Purves, Principles of Cognitive Neuroscience (W. H. Freeman, New York, 2008)

    Google Scholar 

  4. A. Lutz, H.A. Slagter, N.B. Rawlings, A.D. Francis, L.L. Greischar, R.J. Davidson, Mental training enhances attentional stability: neural and behavioral evidence. J. Neurosci. 29(42), 13418–13427 (2009)

    Article  Google Scholar 

  5. J. Kawatani, K. Mizuno, S. Shiraishi, M. Takao, T. Joudoi, S. Fukuda et al., Cognitive dysfunction and mental fatigue in childhood chronic fatigue syndrome—a 6-month follow-up study. Brain Dev. 33(10), 832–841 (2011)

    Article  Google Scholar 

  6. K. Mizuno, M. Tanaka, S. Fukuda, K. Imai-Matsumura, Y. Watanabe, Relationship between cognitive functions and prevalence of fatigue in elementary and junior high school students. Brain Dev. 33(6), 470–479 (2011)

    Article  Google Scholar 

  7. Y. Gao, Q. Wang, Y. Ding, C. Wang, H. Li, X. Wu et al., Selective attention enhances beta-band cortical oscillation to speech under cocktail-party listening conditions. Front. Hum. Neurosci. 11, 34 (2017)

    Article  Google Scholar 

  8. S. Aliakbaryhosseinabadi, E.N. Kamavuako, N. Jiang, D. Farina, N. Mrachacz-Kersting, Influence of dual-tasking with different levels of attention diversion on characteristics of the movement-related cortical potential. Brain Res. 1674, 10–19 (2017)

    Article  Google Scholar 

  9. S. Aliakbaryhosseinabadi, E.N. Kamavuako, N. Jiang, D. Farina, N. Mrachacz-Kersting, Classification of EEG signals to identify variations in attention during motor task execution. J. Neurosci. Methods 284, 27–34 (2017)

    Article  Google Scholar 

  10. S. Paul, N. Kathmann, A. Riesel, The costs of distraction: the effect of distraction during repeated picture processing on the LPP. Biol. Psychol. 117, 225–234 (2016)

    Article  Google Scholar 

  11. M.A. Ghazanfar, M. Cook, B. Tang, I. Tait, A. Alijani, The effect of divided attention on novices and experts in laparoscopic task performance. Surg. Endosc. 29(3), 614–619 (2015)

    Article  Google Scholar 

  12. E. Vaportzis, N. Georgiou-Karistianis, J.C. Stout, Age and task difficulty differences in dual tasking using circle tracing and serial subtraction tasks. Aging Clin. Exp. Res. 26(2), 201–211 (2014)

    Article  Google Scholar 

  13. S.D. Newman, T.A. Keller, M.A. Just, Volitional control of attention and brain activation in dual task performance. Hum. Brain Mapp. 28(2), 109–117 (2007)

    Article  Google Scholar 

  14. Y. Liu, H. Ayaz, A. Curtin, P.A. Shewokis, B. Onaral, Detection of attention shift for asynchronous P300-based BCI. Conf. Proc. IEEE Eng. Med. Biol. Soc. 3850, 3850–3853 (2012)

    Google Scholar 

  15. R.N. Roy, S. Bonnet, S. Charbonnier, A. Campagne, Mental fatigue and working memory load estimation: interaction and implications for EEG-based passive BCI. Conf. Proc. IEEE Eng. Med. Biol. Soc. 6607, 6607–6610 (2013)

    Google Scholar 

  16. L.V. Kulke, J. Atkinson, O. Braddick, Neural differences between covert and overt attention studied using EEG with simultaneous remote eye tracking. Front. Hum. Neurosci. 10, 592 (2016)

    Article  Google Scholar 

  17. P. Praamstra, L. Boutsen, G.W. Humphreys, Frontoparietal control of spatial attention and motor intention in human EEG. J. Neurophysiol. 94(1), 764–774 (2005)

    Article  Google Scholar 

  18. P. Horki, G. Bauernfeind, W. Schippinger, G. Pichler, G.R. Müller-Putz, Evaluation of induced and evoked changes in EEG during selective attention to verbal stimuli. J. Neurosci. Methods 270, 165–176 (2016)

    Article  Google Scholar 

  19. J. Ramirez, M. Bomba, A. Singhal, B. Fowler, Influence of a visual spatial attention task on auditory early and late Nd and P300. Biol. Psychol. 68(2), 121–134 (2005)

    Article  Google Scholar 

  20. J.M. Sangal, R.B. Sangal, B. Persky, Abnormal auditory P300 topography in attention deficit disorder predicts poor response to pemoline. Clin. Electroencephalogr. 26(4), 204–213 (1995)

    Article  Google Scholar 

  21. S. Aliakbaryhosseinabadi, V. Kostic, A. Pavlovic, S. Radovanovic, E.N. Kamavuako, N. Jiang et al., Influence of attention alternation on movement-related cortical potentials in healthy individuals and stroke patients. Clin. Neurophysiology. 128(1), 165–175 (2017)

    Article  Google Scholar 

  22. A. Myrden, T. Chau, Effects of user mental state on EEG-BCI performance. Front. Hum. Neurosci. 9, 308 (2015)

    Article  Google Scholar 

  23. D.O. Hebb, The organization of behavior: a neuropsychological theory (L. Erlbaum Associates, Mahwah, N.J., 2002)

    Google Scholar 

  24. N. Mrachacz-Kersting, S.R. Kristensen, I.K. Niazi, D. Farina, Precise temporal association between cortical potentials evoked by motor imagination and afference induces cortical plasticity. J. Physiol. 590(7), 1669–1682 (2012)

    Article  Google Scholar 

  25. U. Ziemann, W. Paulus, M.A. Nitsche, A. Pascual-Leone, W.D. Byblow, A. Berardelli et al., Consensus: motor cortex plasticity protocols. Brain Stimul. 1(3), 164–1682 (2008)

    Article  Google Scholar 

  26. K. Stefan, M. Wycislo, J. Classen, Modulation of associative human motor cortical plasticity by attention. J. Neurophysiol. 92(1), 66–72 (2004)

    Article  Google Scholar 

  27. M. Pekna, M. Pekny, M. Nilsson, Modulation of neural plasticity as a basis for stroke rehabilitation. Stroke 43(10), 2819–2828 (2012)

    Article  Google Scholar 

  28. H. Cecotti, R.W. Kasper, J.C. Elliott, M.P. Eckstein, B. Giesbrecht, Multimodal target detection using single trial evoked EEG responses in single and dual-tasks. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2011, 6311–6314 (2011)

    Google Scholar 

  29. S.A. Bunge, T. Klingberg, R.B. Jacobsen, J.D. Gabrieli, A resource model of the neural basis of executive working memory. Proc. Natl. Acad. Sci. U S A 97(7), 3573–3578 (2000)

    Article  Google Scholar 

  30. F. Nijboer, E.W. Sellers, J. Mellinger, M.A. Jordan, T. Matuz, A. Furdea et al., A P300-based brain–computer interface for people with amyotrophic lateral sclerosis. Clin. Neurophysiol. 119(8), 1909–1916 (2008)

    Article  Google Scholar 

  31. J.W. Grabbe, P.A. Allen, Cross-task compatibility and age-related dual-task performance. Exp. Aging Res. 38(5), 469–487 (2012)

    Article  Google Scholar 

  32. E. Salo, T. Rinne, O. Salonen, K. Alho, Brain activity during auditory and visual phonological, spatial and simple discrimination tasks. Brain Res. 1496, 55–69 (2013)

    Article  Google Scholar 

  33. D.D. Salvucci, N.A. Taatgen, Threaded cognition: an integrated theory of concurrent multitasking. Psychol. Rev. 115(1), 101–130 (2008)

    Article  Google Scholar 

  34. K.M. Halvorson, What causes dual-task costs? University of Lowa (2013)

    Google Scholar 

  35. E. Kodesh, R. Kizony, Measuring cardiopulmonary parameters during dual-task while walking. J. Basic Clin. Physiol. Pharmacol. 25(2), 155–160 (2014)

    Article  Google Scholar 

  36. O. Beauchet, C. Annweiler, V. Dubost, G. Allali, R.W. Kressig, S. Bridenbaugh et al., Stops walking when talking: a predictor of falls in older adults? Eur. J. Neurol. 16(7), 786–795 (2009)

    Article  Google Scholar 

  37. T. Asai, T. Doi, S. Hirata, H. Ando, Dual tasking affects lateral trunk control in healthy younger and older adults. Gait Posture 38(4), 830–836 (2013)

    Article  Google Scholar 

  38. W.W.N. Tsang, N.K.Y. Lam, K.N.L. Lau, H.C.H. Leung, C.M.S. Tsang, X. Lu, The effects of aging on postural control and selective attention when stepping down while performing a concurrent auditory response task. Eur. J. Appl. Physiol. 113(12), 3021–3026 (2013)

    Article  Google Scholar 

  39. P.A. Allen, M. Sliwinski, T. Bowie, Differential age effects in semantic and episodic memory, Part II: slope and intercept analyses. Exp. Aging Res. 28(2), 111–142 (2002)

    Article  Google Scholar 

  40. P.A. Allen, E. Ruthruff, J.D. Elicker, M. Lien, Multisession, dual-task psychological refractory period practice benefits older and younger adults equally. Exp. Aging Res. 35(4), 369,369–399 (2009)

    Article  Google Scholar 

  41. V.L. Barbour, G.E. Mead, Fatigue after stroke: the patient’s perspective. Stroke Res. Treat. 2012, 1–6 (2012)

    Article  Google Scholar 

  42. J. Serences, EEG and fMRI provide different insights into the link between attention and behavior in human visual cortex. J. Vision 15(12), 1413 (2015)

    Article  Google Scholar 

  43. Y. Fu, B. Xu, Y. Li, Y. Wang, Z. Yu, H. Li, Single-trial decoding of imagined grip force parameters involving the right or left hand based on movement-related cortical potentials. Chin. Sci. Bull. 59(16), 1907–1916 (2014)

    Article  Google Scholar 

  44. S.K. Kisiel, V. Siemionow, L.D. Zhang, J. Mencel, G.H. Yue, A. Jaskolska et al., The magnitude of the movement-related cortical potentials during fast and slow voluntary knee extensor deactivation. Acta Neurobiol. Exp. 72(2), 204–205 (2012)

    Google Scholar 

  45. S. Aliakbaryhosseinabadi, N. Jiang, L. Petrini, D. Farina, K. Dremstrup, N. Mrachacz-Kersting, Robustness of movement detection techniques from motor execution: Single trial movement related cortical potential. Conf. Proc. IEEE NER, 2015 (2015)

    Google Scholar 

  46. R. Palaniappan, Brain computer interface design using band powers extracted during mental tasks. Conf. Proc. IEEE EMBS Neural. Eng, 2005 (2005)

    Google Scholar 

  47. A.S. Gevins, J.C. Doyle, G.M. Zeitlin, Comments on “the clinical EEG-a search for a buried message”. IEEE Trans. Biomed. Eng. 25(6), 568–569 (1978)

    Article  Google Scholar 

  48. A.M. Waters, J. Henry, K. Mogg, B.P. Bradley, D.S. Pine, Attentional bias towards angry faces in childhood anxiety disorders. J. Behav. Ther. Exp. Psychiatry 41(2), 158–164 (2010)

    Article  Google Scholar 

  49. T.O. Zander, C. Kothe, Towards passive brain–computer interfaces: applying brain–computer interface technology to human–machine systems in general. J. Neural Eng. 8(2), 025005 (2011)

    Article  Google Scholar 

  50. K. Dijkstra, P. Brunner, A. Gunduz, W. Coon, A.L. Ritaccio, J. Farquhar et al., Identifying the attended speaker using electrocorticographic (ECoG) signals. Brain Comput. Interfaces 2(4), 161–173 (2015)

    Article  Google Scholar 

  51. R.V. Chacko, B. Kim, S.W. Jung, A.L. Daitch, J.L. Roland, N.V. Metcalf et al., Distinct phase-amplitude couplings distinguish cognitive processes in human attention. Neuroimage 175, 111–121 (2018)

    Article  Google Scholar 

  52. R.F. Helfrich, I.C. Fiebelkorn, S.M. Szczepanski, J.J. Lin, J. Parvizi, R.T. Knight et al., Neural mechanisms of sustained attention are rhythmic. Neuron 99(4), 854–865 (2018)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Center for Sensory-Motor Interaction, Department of Health Science and Technology, Aalborg University, 9220, Aalborg, Denmark

    Susan Aliakbaryhosseinabadi & Natalie Mrachacz-Kersting

  2. Department of Informatics, King’s College London, London, UK

    Ernest Nlandu Kamavuako

  3. Department of System Design Engineering, Faculty of Engineering, University of Waterloo, Waterloo, Canada

    Ning Jiang

  4. Department of Bioengineering, Imperial College London, SW7 2AZ, London, UK

    Dario Farina

Authors
  1. Susan Aliakbaryhosseinabadi
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  2. Ernest Nlandu Kamavuako
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  3. Ning Jiang
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  4. Dario Farina
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  5. Natalie Mrachacz-Kersting
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Corresponding author

Correspondence to Natalie Mrachacz-Kersting .

Editor information

Editors and Affiliations

  1. g.tec Medical Engineering GmbH, Schiedlberg, Austria

    Christoph Guger

  2. Department of Health Science and Technology, Aalborg University, Aalborg, Denmark

    Natalie Mrachacz-Kersting

  3. Department of Cognitive Science, University of California, San Diego, CA, USA

    Brendan Z. Allison

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Aliakbaryhosseinabadi, S., Kamavuako, E.N., Jiang, N., Farina, D., Mrachacz-Kersting, N. (2019). Online Adaptive Synchronous BCI System with Attention Variations. In: Guger, C., Mrachacz-Kersting, N., Allison, B. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-05668-1_3

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  • DOI: https://doi.org/10.1007/978-3-030-05668-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05667-4

  • Online ISBN: 978-3-030-05668-1

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