Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2014 (2014), Article ID 783203, 9 pages
http://dx.doi.org/10.1155/2014/783203
Research Article

Movement Type Prediction before Its Onset Using Signals from Prefrontal Area: An Electrocorticography Study

1MEG Center, Department of Neurosurgery, Seoul National University Hospital, Seoul 110-744, Republic of Korea
2Interdisciplinary Program in Neuroscience, Seoul National University College of Natural Sciences, Seoul 151-747, Republic of Korea
3Department of Neurosurgery, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul 110-799, Republic of Korea
4Sensory Organ Research Institute, Seoul National University, Seoul 151-742, Republic of Korea
5School of Design and Human Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Republic of Korea
6Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul 151-747, Republic of Korea

Received 28 March 2014; Revised 29 May 2014; Accepted 24 June 2014; Published 14 July 2014

Academic Editor: Yiwen Wang

Copyright © 2014 Seokyun Ryun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtscheller, and T. M. Vaughan, “Brain-computer interfaces for communication and control,” Clinical Neurophysiology, vol. 113, no. 6, pp. 767–791, 2002. View at Publisher · View at Google Scholar · View at Scopus
  2. J. R. Wolpaw, N. Birbaumer, W. J. Heetderks et al., “Brain-computer interface technology: a review of the first international meeting,” IEEE Transactions on Rehabilitation Engineering, vol. 8, no. 2, pp. 164–173, 2000. View at Publisher · View at Google Scholar · View at Scopus
  3. J. J. Vidal, “Toward direct brain-computer communication,” Annual Review of Biophysics and Bioengineering, vol. 2, pp. 157–180, 1973. View at Publisher · View at Google Scholar · View at Scopus
  4. N. J. Hill, T. N. Lal, M. Schröder et al., “Classifying EEG and ECoG signals without subject training for fast BCI implementation: comparison of nonparalyzed and completely paralyzed subjects,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, no. 2, pp. 183–186, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. R. Scherer, B. Graimann, J. E. Huggins, S. P. Levine, and G. Pfurtscheller, “Frequency component selection for an ECoG-based brain-computer interface,” Biomedizinische Technik, vol. 48, no. 1-2, pp. 31–36, 2003. View at Publisher · View at Google Scholar · View at Scopus
  6. T. Yanagisawa, M. Hirata, Y. Saitoh et al., “Neural decoding using gyral and intrasulcal electrocorticograms,” NeuroImage, vol. 45, no. 4, pp. 1099–1106, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. V. Morash, O. Bai, S. Furlani, P. Lin, and M. Hallett, “Classifying EEG signals preceding right hand, left hand, tongue, and right foot movements and motor imageries,” Clinical Neurophysiology, vol. 119, no. 11, pp. 2570–2578, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. O. Bai, V. Rathi, P. Lin et al., “Prediction of human voluntary movement before it occurs,” Clinical Neurophysiology, vol. 122, no. 2, pp. 364–372, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. Z. Wang, A. Gunduz, P. Brunner, A. L. Ritaccio, Q. Ji, and G. Schalk, “Decoding onset and direction of movements using electrocorticographic (ECoG) signals in humans,” Frontiers in Neuroengineering, vol. 5, article 15, 2012. View at Publisher · View at Google Scholar · View at Scopus
  10. E. Hoshi and J. Tanji, “Distinctions between dorsal and ventral premotor areas: anatomical connectivity and functional properties,” Current Opinion in Neurobiology, vol. 17, no. 2, pp. 234–242, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. H. Shibasaki and M. Hallett, “What is the bereitschaftspotential?” Clinical Neurophysiology, vol. 117, no. 11, pp. 2341–2356, 2006. View at Publisher · View at Google Scholar · View at Scopus
  12. G. Pfurtscheller and F. H. L. da Silva, “Event-related EEG/MEG synchronization and desynchronization: basic principles,” Clinical Neurophysiology, vol. 110, no. 11, pp. 1842–1857, 1999. View at Publisher · View at Google Scholar · View at Scopus
  13. M. Jahanshahi, G. Dirnberger, A. Liasis, A. Towell, and S. Boyd, “Does the pre-frontal cortex contribute to movement-related potentials? Recordings from subdural electrodes,” Neurocase, vol. 7, no. 6, pp. 495–501, 2001. View at Publisher · View at Google Scholar · View at Scopus
  14. D. Sochůrková, I. Rektor, P. Jurák, and A. Stančák, “Intracerebral recording of cortical activity related to self-paced voluntary movements: a Bereitschaftspotential and event-related desynchronization/synchronization. SEEG study,” Experimental Brain Research, vol. 173, no. 4, pp. 637–649, 2006. View at Publisher · View at Google Scholar · View at Scopus
  15. I. Rektor, M. Bareš, P. Kaňovský, and M. Kukleta, “Intracerebral recording of readiness potential induced by a complex motor task,” Movement Disorders, vol. 16, no. 4, pp. 698–704, 2001. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Ohara, A. Ikeda, M. Matsuhashi et al., “Bereitschaftspotentials recorded from the lateral part of the superior frontal gyrus in humans,” Neuroscience Letters, vol. 399, no. 1-2, pp. 1–5, 2006. View at Publisher · View at Google Scholar · View at Scopus
  17. E. C. Leuthardt, G. Schalk, J. R. Wolpaw, J. G. Ojemann, and D. W. Moran, “A brain-computer interface using electrocorticographic signals in humans,” Journal of Neural Engineering, vol. 1, no. 2, pp. 63–71, 2004. View at Publisher · View at Google Scholar · View at Scopus
  18. P. Haggard, “Human volition: towards a neuroscience of will,” Nature Reviews Neuroscience, vol. 9, no. 12, pp. 934–946, 2008. View at Publisher · View at Google Scholar · View at Scopus
  19. N. Picard and P. L. Strick, “Motor areas of the medial wall: a review of their location and functional activation,” Cerebral Cortex, vol. 6, no. 3, pp. 342–353, 1996. View at Publisher · View at Google Scholar · View at Scopus
  20. G. Rizzolatti, G. Luppino, and M. Matelli, “The organization of the cortical motor system: new concepts,” Electroencephalography and Clinical Neurophysiology, vol. 106, no. 4, pp. 283–296, 1998. View at Publisher · View at Google Scholar · View at Scopus
  21. M. D. Hunter, R. D. J. Green, I. D. Wilkinson, and S. A. Spence, “Spatial and temporal dissociation in prefrontal cortex during action execution,” NeuroImage, vol. 23, no. 3, pp. 1186–1191, 2004. View at Publisher · View at Google Scholar · View at Scopus
  22. M. D'Esposito, D. Ballard, E. Zarahn, and G. K. Aguirre, “The role of prefrontal cortex in sensory memory and motor preparation: an event-related fMRI study,” NeuroImage, vol. 11, no. 5, pp. 400–408, 2000. View at Publisher · View at Google Scholar · View at Scopus
  23. J. M. Fuster, “Executive frontal functions,” Experimental Brain Research, vol. 133, no. 1, pp. 66–70, 2000. View at Publisher · View at Google Scholar · View at Scopus
  24. G. Schalk, “Can electrocorticography (ECoG) support robust and powerful brain-computer interfaces?” Frontiers in Neuroengineering, vol. 3, p. 9, 2010. View at Google Scholar
  25. G. Schalk and E. C. Leuthardt, “Brain-computer interfaces using electrocorticographic signals,” IEEE Reviews in Biomedical Engineering, vol. 4, pp. 140–154, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. N. Anderson, “Electrocorticographic Neural Correlates of Arm Movements and Associated Goal Orientation in Humans,” Electronic Theses and Dissertations , Paper 16, 2009.
  27. N. F. Ramsey, M. P. van de Heuvel, K. H. Kho, and F. S. S. Leijten, “Towards human BCI applications based on cognitive brain systems: an investigation of neural signals recorded from the dorsolateral prefrontal cortex,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, no. 2, pp. 214–217, 2006. View at Publisher · View at Google Scholar · View at Scopus
  28. M. J. Vansteensel, D. Hermes, E. J. Aarnoutse et al., “Brain-computer interfacing based on cognitive control,” Annals of Neurology, vol. 67, no. 6, pp. 809–816, 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. O. Bai, P. Lin, S. Vorbach, J. Li, S. Furlani, and M. Hallett, “Exploration of computational methods for classification of movement intention during human voluntary movement from single trial EEG,” Clinical Neurophysiology, vol. 118, no. 12, pp. 2637–2655, 2007. View at Publisher · View at Google Scholar · View at Scopus
  30. K. Müller, C. W. Anderson, and G. E. Birch, “Linear and nonlinear methods for brain-computer interfaces,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 165–169, 2003. View at Publisher · View at Google Scholar · View at Scopus
  31. Y. Bengio and Y. Grandvalet, “No unbiased estimator of the variance of K-fold cross-validation,” Journal of Machine Learning Research, vol. 5, pp. 1089–1105, 2004. View at Google Scholar · View at MathSciNet
  32. E. Naito and H. H. Ehrsson, “Kinesthetic illusion of wrist movement activates motor-related areas,” NeuroReport, vol. 12, no. 17, pp. 3805–3809, 2001. View at Publisher · View at Google Scholar · View at Scopus
  33. I. Rektor, D. Sochůrková, and M. Bočková, “Intracerebral ERD/ERS in voluntary movement and in cognitive visuomotor task,” Progress in Brain Research, vol. 159, pp. 311–330, 2006. View at Publisher · View at Google Scholar · View at Scopus
  34. O. Bai, Z. Mari, S. Vorbach, and M. Hallett, “Asymmetric spatiotemporal patterns of event-related desynchronization preceding voluntary sequential finger movements: A high-resolution EEG study,” Clinical Neurophysiology, vol. 116, no. 5, pp. 1213–1221, 2005. View at Publisher · View at Google Scholar · View at Scopus
  35. G. Pfurtscheller and F. H. Lopes da Silva, “Event-related EEG/MEG synchronization and desynchronization: basic principles,” Clinical Neurophysiology, vol. 110, no. 11, pp. 1842–1857, 1999. View at Publisher · View at Google Scholar · View at Scopus
  36. N. J. Davis, S. P. Tomlinson, and H. M. Morgan, “The role of beta-frequency neural oscillations in motor control,” Journal of Neuroscience, vol. 32, no. 2, pp. 403–404, 2012. View at Publisher · View at Google Scholar · View at Scopus
  37. S. Bickel, E. C. Dias, M. L. Epstein, and D. C. Javitt, “Expectancy-related modulations of neural oscillations in continuous performance tasks,” NeuroImage, vol. 62, no. 3, pp. 1867–1876, 2012. View at Publisher · View at Google Scholar · View at Scopus
  38. A. K. Engel and P. Fries, “Beta-band oscillations-signalling the status quo?” Current Opinion in Neurobiology, vol. 20, no. 2, pp. 156–165, 2010. View at Publisher · View at Google Scholar · View at Scopus
  39. S. Haegens, V. Nácher, A. Hernández, R. Luna, O. Jensen, and R. Romo, “Beta oscillations in the monkey sensorimotor network reflect somatosensory decision making,” Proceedings of the National Academy of Sciences of the United States of America, vol. 108, no. 26, pp. 10708–10713, 2011. View at Publisher · View at Google Scholar · View at Scopus
  40. M. P. Deiber, E. Sallard, C. Ludwig, C. Ghezzi, J. Barral, and V. Ibañez, “EEG alpha activity reflects motor preparation rather than the mode of action selection,” Frontiers in Integrative Neuroscience, vol. 6, article 59, 2012. View at Publisher · View at Google Scholar · View at Scopus