Short-Term Kinesthetic Training for Sensorimotor Rhythms: Effects in Experts and Amateurs

REFERENCES

• Annett, J. (1995). Motor imagery: Perception or action? Neuropsychologia, 33, 1395–1417.
   PubMed Web of Science ®Google Scholar
• Bai, O., Lin, P., Huang, D., Fei, D.-Y., & Floeter, M. K. (2010). Towards a user-friendly brain-computer interface: Initial tests in ALS and PLS patients. Clinical Neurophysiology, 121, 1293–1303. doi:10.1016/j.clinph.2010.02.157
   PubMed Web of Science ®Google Scholar
• Bazanova, O. (2012). Comments for current interpretation EEG alpha activity: A review and analysis. Journal of Behavioral and Brain Science, 2, 239–248. doi:10.4236/jbbs.2012.22027
   Google Scholar
• Blankertz, B., Dornhege, G., Krauledat, M., Müller, K.-R., & Curio, G. (2007). The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects. NeuroImage, 37, 539–550. doi:10.1016/j.neuroimage.2007.01.051
   PubMed Web of Science ®Google Scholar
• Curran, E. (2003). Learning to control brain activity: A review of the production and control of EEG components for driving brain–computer interface (BCI) systems. Brain and Cognition, 51, 326–336. doi:10.1016/S0278-2626(03)00036-8
   PubMed Web of Science ®Google Scholar
• Del Percio, C., Infarinato, F., Iacoboni, M., Marzano, N., Soricelli, A., Aschieri, P., …Babiloni, C. (2010). Movement-related desynchronization of alpha rhythms is lower in athletes than non-athletes: A high-resolution EEG study. Clinical Neurophysiology, 121, 482–491. doi:10.1016/j.clinph.2009.12.004
   PubMed Web of Science ®Google Scholar
• Francuz, P., & Zapała, D. (2011). The suppression of the μ rhythm during the creation of imagery representation of movement. Neuroscience Letters, 495, 39–43. doi:10.1016/j.neulet.2011.03.031
   PubMed Web of Science ®Google Scholar
• Guger, C., Ramoser, H., & Pfurtscheller, G. (2000). Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI). IEEE Transactions on Rehabilitation Engineering, 8, 447–456.
   PubMedGoogle Scholar
• Hammer, E. M., Halder, S., Blankertz, B., Sannelli, C., Dickhaus, T., Kleih, S., …Kübler, A. (2012). Psychological predictors of SMR-BCI performance. Biological Psychology, 89, 80–6. doi:10.1016/j.biopsycho.2011.09.006
   PubMed Web of Science ®Google Scholar
• Hashimoto, Y., Ushiba, J., Kimura, A., Liu, M., & Tomita, Y. (2010). Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy. BMC Neuroscience, 11, 117. doi:10.1186/1471–2202-11–117
   PubMed Web of Science ®Google Scholar
• Haufler, A. J., Spalding, T. W., Santa Maria, D. L., & Hatfield, B. D. (2000). Neuro-cognitive activity during a self-paced visuospatial task: Comparative EEG profiles in marksmen and novice shooters. Biological Psychology, 53, 131–160.
   PubMed Web of Science ®Google Scholar
• Hwang, H.-J., Kwon, K., & Im, C.-H. (2009). Neurofeedback-based motor imagery training for brain-computer interface (BCI). Journal of Neuroscience Methods, 179, 150–156. doi:10.1016/j.jneumeth.2009.01.015
   PubMed Web of Science ®Google Scholar
• Jung, T. P., Makeig, S., Humphries, C., Lee, T. W., McKeown, M. J., Iragui, V., & Sejnowski, T. J. (2000). Removing electroencephalographic artifacts by blind source separation. Psychophysiology, 37, 163–178.
   PubMed Web of Science ®Google Scholar
• Jung, T. P., Makeig, S., Westerfield, M., Townsend, J., Courchesne, E., & Sejnowski, T. J. (2000). Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects. Clinical Neurophysiology, 111, 1745–1758.
   PubMed Web of Science ®Google Scholar
• Kerr, C. E., Jones, S. R., Wan, Q., Pritchett, D. L., Wasserman, R. H., Wexler, A., … Moore, C. I. (2011). Effects of mindfulness meditation training on anticipatory alpha modulation in primary somatosensory cortex. Brain Research Bulletin, 85, 96–103. doi:10.1016/j.brainresbull.2011.03.026
   PubMed Web of Science ®Google Scholar
• Klimesch, W., Russegger, H., Doppelmayr, M., & Pachinger, T. (1998). A method for the calculation of induced band power: Implications for the significance of brain oscillations. Electroencephalography and Clinical Neurophysiology, 108, 123–130.
   PubMedGoogle Scholar
• Krings, T., Töpper, R., Foltys, H., Erberich, S., Sparing, R., Willmes, K., & Thron, A. (2000). Cortical activation patterns during complex motor tasks in piano players and control subjects. A functional magnetic resonance imaging study. Neuroscience Letters, 278, 189–193.
   PubMed Web of Science ®Google Scholar
• Lotze, M., Scheler, G., Tan, H.-R., Braun, C., & Birbaumer, N. (2003). The musician's brain: functional imaging of amateurs and professionals during performance and imagery. NeuroImage, 20, 1817–1829. doi:10.1016/j.neuroimage.2003.07.018
   PubMed Web of Science ®Google Scholar
• Mahmoudi, B., & Erfanian, A. (2006). Electro-encephalogram based brain-computer interface: improved performance by mental practice and concentration skills. Medical & Biological Engineering & Computing, 44, 959–69. doi:10.1007/s11517-006–0111-8
   PubMed Web of Science ®Google Scholar
• McFarland, D. J., Miner, L. A., Vaughan, T. M., & Wolpaw, J. R. (2000). Mu and beta rhythm topographies during motor imagery and actual movements. Brain Topography, 12, 177–186.
   PubMed Web of Science ®Google Scholar
• Morash, V., Bai, O., Furlani, S., Lin, P., & Hallett, M. (2008). Classifying EEG signals preceding right hand, left hand, tongue, and right foot movements and motor imageries. Clinical Neurophysiology, 119, 2570–2578. doi:10.1016/j.clinph.2008.08.013
   PubMed Web of Science ®Google Scholar
• Muthukumaraswamy, S. D., & Johnson, B. W. (2004). Primary motor cortex activation during action observation revealed by wavelet analysis of the EEG. Clinical Neurophysiology, 115, 1760–1766. doi:10.1016/j.clinph.2004.03.004
   PubMed Web of Science ®Google Scholar
• Neuper, C., Scherer, R., Reiner, M., & Pfurtscheller, G. (2005). Imagery of motor actions: Differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. Brain Research. Cognitive Brain Research, 25, 668–677. doi:10.1016/j.cogbrainres.2005.08.014
   PubMedGoogle Scholar
• Ono, T., Kimura, A., & Ushiba, J. (2013). Daily training with realistic visual feedback improves reproducibility of event-related desynchronisation following hand motor imagery. Clinical Neurophysiology, 124, 1779–1786. doi:10.1016/j.clinph.2013.03.006
   PubMed Web of Science ®Google Scholar
• Pfurtscheller, G., Brunner, C., Schlögl, A., & Lopes da Silva, F. H. (2006). Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks. NeuroImage, 31, 153–159. doi:10.1016/j.neuroimage.2005.12.003
   PubMed Web of Science ®Google Scholar
• Pfurtscheller, G., & Lopes da Silva, F. H. (1999). Event-related EEG/MEG synchronization and desynchronization: Basic principles. Clinical Neurophysiology, 110, 1842–1857.
   PubMed Web of Science ®Google Scholar
• Pfurtscheller, G., & Neuper, C. (1997). Motor imagery activates primary sensorimotor area in humans. Neuroscience Letters, 239, 65–68.
   PubMed Web of Science ®Google Scholar
• Pineda, J. A. (2005). The functional significance of mu rhythms: Translating “seeing” and “hearing” into “doing”. Brain Research: Brain Research Reviews, 50, 57–68. doi:10.1016/j.brainresrev.2005.04.005
   PubMed Web of Science ®Google Scholar
• Pineda, J. A, Silverman, D. S., Vankov, A., & Hestenes, J. (2003). Learning to control brain rhythms: Making a brain-computer interface possible. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 11, 181–174. doi:10.1109/TNSRE.2003.814445
   PubMed Web of Science ®Google Scholar
• Scherer, R., Müller-Putz, G. R., & Pfurtscheller, G. (2009). Flexibility and practicality graz brain-computer interface approach. International Review of Neurobiology, 86, 119–131. doi:10.1016/S0074-7742(09)86009-1
   PubMed Web of Science ®Google Scholar
• Vidaurre, C., & Blankertz, B. (2010). Towards a cure for BCI illiteracy. Brain Topography, 23, 194–198. doi:10.1007/s10548-009-0121-6
   PubMed Web of Science ®Google Scholar
• Vuckovic, A. (2009). Non-invasive BCI: How far can we get with motor imagination? Clinical Neurophysiology, 120, 1422–1423. doi:10.1016/j.clinph.2009.06.007
   PubMed Web of Science ®Google Scholar
• Wei, G., & Luo, J. (2010). Sport expert's motor imagery: Functional imaging of professional motor skills and simple motor skills. Brain Research, 1341, 52–62. doi:10.1016/j.brainres.2009.08.014
   PubMed Web of Science ®Google Scholar