Evaluating multi-paradigm BCI interaction

The multimodal, multi-paradigm brain-computer interfacing (BCI) game Bacteria Hunt was used to evaluate two aspects of BCI interaction in a gaming context. One goal was to examine the effect of feedback on the ability of the user to manipulate his mental state of relaxation. This was done by having one condition in which the subject played the game with real feedback, and another with sham feed- back. The feedback did not seem to affect the game experi- ence (such as sense of control and tension) or the objective indicators of relaxation, alpha activity and heart rate. The results are discussed with regard to clinical neurofeedback studies. The second goal was to look into possible inter- actions between the two BCI paradigms used in the game: steady-state visually-evoked potentials (SSVEP) as an indi- cator of concentration, and alpha activity as a measure of

[1]  F. L. D. Silva,et al.  Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.

[2]  Xiaorong Gao,et al.  Design and implementation of a brain-computer interface with high transfer rates , 2002, IEEE Transactions on Biomedical Engineering.

[3]  Anton Nijholt,et al.  Turning Shortcomings into Challenges: Brain-Computer Interfaces for Games , 2009, INTETAIN.

[4]  Jim Holder,et al.  User interfaces , 1985, ALET.

[5]  Thorsten O. Zander,et al.  Enhancing Human-Computer Interaction with Input from Active and Passive Brain-Computer Interfaces , 2010, Brain-Computer Interfaces.

[6]  S. Hillyard,et al.  Selective attention to stimulus location modulates the steady-state visual evoked potential. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Horst Bischof,et al.  The Self-Paced Graz Brain-Computer Interface: Methods and Applications , 2007, Comput. Intell. Neurosci..

[8]  D. Regan.  Human brain electrophysiology: Evoked potentials and evoked magnetic fields in science and medicine , 1989 .

[9]  Dirk Heylen,et al.  Bacteria Hunt: A multimodal, multiparadigm BCI game , 2010 .

[10]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[11]  Marieke E. Thurlings,et al.  EEG-Based Navigation from a Human Factors Perspective , 2010, Brain-Computer Interfaces.

[12]  Gregory A. Miller,et al.  The linked-reference issue in EEG and ERP recording. , 1991 .

[13]  W. Klimesch.  EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis , 1999, Brain Research Reviews.

[14]  Christopher R. Brown,et al.  EEG differences in children between eyes-closed and eyes-open resting conditions , 2009, Clinical Neurophysiology.

[15]  Stephen H. Fairclough,et al.  Fundamentals of physiological computing , 2009, Interact. Comput..

[16]  J. Palva,et al.  New vistas for α-frequency band oscillations , 2007, Trends in Neurosciences.

[17]  J. Kamiya,et al.  The control of electroencephalographic alpha rhythms through auditory feedback and the associated mental activity. , 1970, Psychophysiology.

[18]  H. Jasper,et al.  The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.

[19]  K. M. Rice,et al.  Biofeedback treatments of generalized anxiety disorder: Preliminary results , 1993, Biofeedback and self-regulation.

[20]  Guillén Fernández,et al.  COVARIATION OF SPECTRAL AND NONLINEAR EEG MEASURES WITH ALPHA BIOFEEDBACK , 2002, The International journal of neuroscience.

[21]  M Schürmann,et al.  Functional aspects of alpha oscillations in the EEG. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[22]  G. Pfurtscheller,et al.  A fully automated correction method of EOG artifacts in EEG recordings , 2007, Clinical Neurophysiology.

[23]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[24]  M. Bradley,et al.  Looking at pictures: affective, facial, visceral, and behavioral reactions. , 1993, Psychophysiology.

[25]  Boris Reuderink,et al.  Games and Brain-Computer Interfaces: The State of the Art , 2008 .

[26]  Karolien Poels,et al.  Characterising and measuring user experiences in digital games , 2007 .

[27]  M. Arns,et al.  Efficacy of Neurofeedback Treatment in ADHD: The Effects on Inattention, Impulsivity and Hyperactivity: A Meta-Analysis , 2009, Clinical EEG and neuroscience.

[28]  S Ancoli,et al.  Methodological issues in alpha biofeedback training , 1978, Biofeedback and self-regulation.

[29]  Clemens Brunner,et al.  BioSig: A Free and Open Source Software Library for BCI Research , 2008, Computer.

[30]  J. Wolpaw,et al.  Towards an independent brain–computer interface using steady state visual evoked potentials , 2008, Clinical Neurophysiology.

[31]  T Mulholland,et al.  Attention and regulation of EEG alpha-attenuation responses , 1983, Biofeedback and self-regulation.

[32]  Xiaorong Gao,et al.  A Human Computer Interface Using SSVEP-Based BCI Technology , 2007, HCI.

[33]  Matthias M. Müller,et al.  Effects of spatial selective attention on the steady-state visual evoked potential in the 20-28 Hz range. , 1998, Brain research. Cognitive brain research.

[34]  J F Hare,et al.  EEG alpha-biofeedback training: an experimental technique for the management of anxiety. , 1982, Journal of medical engineering & technology.

[35]  D. Hammond,et al.  Neurofeedback Treatment of Depression and Anxiety , 2005 .

[36]  R. Barry,et al.  EEG differences between eyes-closed and eyes-open resting conditions , 2007, Clinical Neurophysiology.

[37]  T. Egner,et al.  Ecological validity of neurofeedback: modulation of slow wave EEG enhances musical performance , 2003, Neuroreport.

[38]  H. W. Hill,et al.  The Evoked Potential Human-computer Interface , 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

[39]  N. Moore,et al.  The Neurotherapy of Anxiety Disorders , 2005 .

[40]  J R Wolpaw,et al.  Spatial filter selection for EEG-based communication. , 1997, Electroencephalography and clinical neurophysiology.

[41]  J. Shaw,et al.  Intention as a component of the alpha-rhythm response to mental activity. , 1996, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[42]  Simon P. Kelly,et al.  Visual spatial attention control in an independent brain-computer interface , 2005, IEEE Transactions on Biomedical Engineering.

[43]  C. Herrmann.  Human EEG responses to 1–100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena , 2001, Experimental Brain Research.

[44]  Peter J. Werkhoven,et al.  SSVEPs for BCI? The effect of stimulus eccentricity on SSVEPs , 2009 .

[45]  Dirk Heylen,et al.  Brain-Computer Interfacing and Games , 2010, Brain-Computer Interfaces.

[46]  J. Kamiya,et al.  Anxiety change through electroencephalographic alpha feedback seen only in high anxiety subjects. , 1978, Science.

[47]  Espen Aarseth.  Investigació sobre jocs: aproximacions metodològiques a l'anàlisi de jocs , 2007 .

[48]  Sara Ilstedt Hjelm,et al.  Research + design: the making of Brainball , 2003, INTR.

[49]  T. Egner,et al.  Validating the efficacy of neurofeedback for optimising performance. , 2006, Progress in brain research.

[50]  Rex L. Cannon,et al.  EEG Biofeedback as a Treatment for Substance Use Disorders: Review, Rating of Efficacy, and Recommendations for Further Research , 2008, Applied psychophysiology and biofeedback.

[51]  P. Welch.  The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[52]  Anthony Sances,et al.  Stationarity of the human electroencephalogram , 1977, Medical and Biological Engineering and Computing.

[53]  T. Egner,et al.  Foundation and Practice of Neurofeedback for the Treatment of Epilepsy , 2006, Applied psychophysiology and biofeedback.

[54]  Mildred Murray-Ward,et al.  Assessment in the Classroom , 1999 .

[55]  Reinhold Scherer,et al.  Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components , 2005, Journal of neural engineering.