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Unskilled Finger Key Pressing and Brain Coherence

  • Ling-Fu Meng
  • Chiu-Ping Lu
  • Ching-Horng Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4061)

Abstract

To press a computer key by an unskilled finger is sometimes an adaptive way to successfully access computer for the persons with quadriplegia. The efficiency of the unskilled site during the learning process should be addressed. Currently, we also want to know how the brain works in this unskilled situation during the learning process. Therefore, this combined motor behavioral and brain electrophysiological study was conducted. Since it was not easy to invite the persons with quadriplegia to participate electrophysiological studies, we invited eight typical college students to participate our study. Each of them tried to press the left, middle, and right keys for 200 times by their 2nd, 3rd and 4th fingers respectively in a randomized order. The event-related coherence of the EEG was calculated to find out the functional connection among brain areas under unskilled (4th) and skilled (2nd) conditions. The result suggested that the alpha band synchronization between C3 and C4 electrodes under the unskilled condition was weaker than that under the skilled condition. It is likely that the performance of an unskilled finger was correlated to the weaker brain coherence. The brain might need some time to establish connections among different regions in the cortex during the learning process especially when using the unskilled control site.

Keywords

Alpha Band Bimanual Task Skilled Condition Motor Efficiency Synergy Motor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Meng, L.F., Li, T.-Y., Chu, C.N., Chen, M.-C., Chang, C.-H.S., et al.: Applications of Computer Access Approach to Persons with Quadriplegics. In: Miesenberger, K., Klaus, J., Zagler, W., Burger, D. (eds.) ICCHP 2004. LNCS, vol. 3118, pp. 857–864. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  2. 2.
    Turpin, G., Armstrong, J., Frost, P., Fine, B., Ward, C., Pinnington, L.: Evaluation of alternative computer input devices used by people with disabilities. Journal of Medical Engineering Technology 29(3), 119–129 (2005)CrossRefGoogle Scholar
  3. 3.
    Ding, D., Cooper, R.A., Kaminski, B.A., Kanaly, J.R., Allegretti, A., Chaves, E., Hubbard, S.: Integrated control and related technology of assistive devices. Assistive Technology 15(2), 89–97 (2003)CrossRefGoogle Scholar
  4. 4.
    Deeny, S.P., Hillman, C.H., Janelle, C.M., Hatfield, B.D.: Cortico-cortical communication and superior performance in skilled marksmen: An EEG coherence analysis. Journal of Sport & Exercise Psychology 25(2), 188–204 (2003)Google Scholar
  5. 5.
    Knyazeva, M., Koeda, T., Nijokiktjien, C., Jonkman, E.J., Kurganskaya, M., de Sonneville, L., Vildavsky, V.: EEG coherence changes during finger tapping in acallosal and normal children: A study of inter- and intrahemispheric connectivity. Behavioural Brain Research 89(1-2), 243–258 (1997)CrossRefGoogle Scholar
  6. 6.
    Serrien, Deborah, J., Brown, Peter: Changes in functional coupling patterns during bimanual task performance. Neuroreport: For Rapid Communication of Neuroscience Research 15(9), 1387–1390 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ling-Fu Meng
    • 1
  • Chiu-Ping Lu
    • 1
  • Ching-Horng Chen
    • 1
  1. 1.Department of Occupational Therapy and Institute of Clinical Behavioral ScienceChang Gung UniversityTaoyuanTaiwan

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