Effects of Massed and Distributed Practice on P300 Latency in a Sequential Timing Task

시열과제 운동학습 시 집중연습과 분산연습이 P300 출현시기에 미치는 영향

  • Kwon, Yong-Hyun (Department of Physical Therapy, Yeungnam University College) ;
  • Lee, Myoung-Hee (Department of Physical Therapy, College of Science, Kyungsung University)
  • 권용현 (영남이공대학교 물리치료과) ;
  • 이명희 (경성대학교 이과대학 물리치료학과)
  • Received : 2014.07.14
  • Accepted : 2014.08.12
  • Published : 2014.08.25

Abstract

Purpose: The purpose of this study is to use P300 latency to determine whether methods of motor learning in terms of massed and distributed practice can affect motor sequential learning in healthy adults. Methods: Twenty-four healthy subjects participated in this study. They were randomly allocated into three groups: a 10 minute, a 12 hour, and a 24 hour group. In the SRT task, eight numbers were adopted as auditory stimuli. During an experiment, participants were instructed to press the matching key as quickly and accurately as possible when one of the eight numbers was presented randomly. The subjects practiced for three sessions, each of which comprised five blocks of 40 serial reaction time tasks. While they practiced during these three sessions, P300 latency was measured. The data were analyzed using ANCOVA. Results: The P300 latency of Fz, Cz, and Pz decreased in all groups except for the Fz area of the 10 min group. Overall, the P300 latency of the 10 min group showed a smaller decrease compared with the 12 hr and 24 hr groups. Statistically, no significant differences in the Fz and Cz areas were observed among the three groups. The P300 latency in the Pz area of the 10 min group showed a significantly smaller decrease compared with the other groups. Conclusion: These findings suggest that short-term sequential motor training can alter brain functions such as the P300 latency. We also found that better acquisition of a motor skill was obtained with distributed practice of a task than with massed practice.

Keywords

References

  1. Seidler RD, Purushotham A, Kim SG, et al. Cerebellum activation associated with performance change but not motor learning. Science. 2002;296(5575):2043-6. https://doi.org/10.1126/science.1068524
  2. Shumway-Cook A, Woollacott MH. Motor Control: Translating Research into Clinical Practice. 3rd ed. Philadelphia, Lippincott Williams & Wilkins, 2007:22.
  3. Kwon YH, Lee MH. Comparison of Motor Skill Acquisition according to Types of Sensory-Stimuli Cue in Serial Reaction Time Task. J Korean Soc Phys Ther. 2014;26(3):191-5.
  4. Lee MH, Kim MC, Park JT. Analysis of Motor Performance and P300 during Serial Task Performance according to the Type of Cue. 2013;8(2):299-305.
  5. Ahn MH, Park KD, You YY. The Effect of Feedback on Somesthetic Video Game Training for Improving Balance of Stroke Patients. J Korean Soc Phys Med. 2012;7(4):401-9. https://doi.org/10.13066/kspm.2012.7.4.401
  6. Ji SG, Nam GW, Kim MK, et al. The Effect of Visual Feedback Training Using a Mirror on the Balance in Hemiplegic Patients. J Korean Soc Phys Med. 2011;6(2):153-63.
  7. Park JW, Kwon YH, Lee MY. Different Brain Activations between Random and Blocked Practice in Motor Learning. Journal of Korea Sport Research. 2007;18(5):469-80.
  8. Lee MY, Park RJ, Nam KS. The effect of implicit motor sequence learning through perceptual‐motor task in patients with subacute stroke. J Korean Soc Phys Ther. 2008;20(3):1‐7.
  9. Choi JH, Lee MY. The Effect of Cross-Education in Nondominant Arm with Normal Adult. J Korean Soc Phys Ther. 2011;23(2):31-6.
  10. Kim JS, Lee KH, Bae SS. Mechanism and Application Methodology of Mental Practice. J Korean Soc Phys Ther. 2003;15(2):75-84.
  11. Chung MH, Song YG, Park JH. The Effects of Massed and Distributed Practice on the Learning and Effector Transfer in a Sequential Timing Task. Korean Journal of Sport Psychology. 2007;18(3):193-213.
  12. Dail TK, Christina RW. Distribution of Practice and Metacognition in Learning and Long-Term Retention of a Discrete Motor Task. Res Q Exerc Sport. 2004;75(2):148-55. https://doi.org/10.1080/02701367.2004.10609146
  13. Shewokis PA. Memory consolidation and contextual interference effects with computer games. Percept Mot Skills. 2003;97(2):581-9. https://doi.org/10.2466/pms.2003.97.2.581
  14. Pauwels L, Swinnen SP, Beets IA. Contextual interference in complex bimanual skill learning leads to better skill persistence. PLoS One. 2014 24;9(6):e100906. https://doi.org/10.1371/journal.pone.0100906
  15. Park MC, Bae SS, Kwon YH. Change of activation of the supplementary motor area in motor learning: an fMRI case study. J Korean Soc Phys Ther. 2011; 23(2):85-90.
  16. Kwon YH, Chang JS, Kim CS. Changes of Cortical Activation Pattern Induced by Motor Learning with Serial Reaction Time Task. J Korean Soc Phys Ther. 2009; 21(1):65-71.
  17. Polich J. Neuropsychology of P300. In Luck SJ, Kappenman ES. Handbook of event-related potential components, Oxford, Oxford University Press. 2010:10-11.
  18. Simmons AL. Effect of Practice Variability and Distribution of Practice on Musicians' Performance of a Procedural Skill. Taxas University. Dissertation of Doctorate Degree. 2007.
  19. Shea CH, Lai Q, Black C, et al. Spacing practice sessions across days benefits the learning of motor skills. Human Movement Science. 2000;19(5):737-60. https://doi.org/10.1016/S0167-9457(00)00021-X
  20. Balas M, Roitenberg N, Giladi N, et al. When practice does not make perfect: well-practiced handwriting interferes with the consolidation phase gains in learning a movement sequence. Exp Brain Res. 2007;178(4):499-508. https://doi.org/10.1007/s00221-006-0757-3
  21. Walker MP, Brakefield T, Hobson JA, et al. Dissociable stages of human memory consolidation and reconsolidation. Nature. 2003;425(6958):616-20. https://doi.org/10.1038/nature01930
  22. Shadmehr R, Holcomb HH. Neural correlates of motor memory consolidation. Science. 1997;277(5327):821-5. https://doi.org/10.1126/science.277.5327.821
  23. Hsieh S. The lateralized readiness potential and P300 of stimulus-set switching. Int J Psychophysiol. 2006;60(3):284-91. https://doi.org/10.1016/j.ijpsycho.2005.07.011
  24. Olofsson JK, Nordin S, Sequeira H, et al. Affective picture processing: an integrative review of ERP findings. Biol Psychol 2008;77(3):247-65. https://doi.org/10.1016/j.biopsycho.2007.11.006
  25. Polich J. Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol 2007;118(10):2128-48. https://doi.org/10.1016/j.clinph.2007.04.019
  26. Curran T. Effects of attention and confidence on the hypothesized ERP correlates of recollection and familiarity. Neuropsychologia. 2004;42(8):1088-106. https://doi.org/10.1016/j.neuropsychologia.2003.12.011
  27. Curran T, Friedman WJ. ERP old/new effects at different retention intervals in recency discrimination tasks. Brain Res Cogn Brain Res. 2004;18(2):107-20. https://doi.org/10.1016/j.cogbrainres.2003.09.006
  28. Foti D, Hajcak G, Dien J. Differentiating neural responses to emotional pictures: evidence from temporal-spatial PCA. Psychophysiology. 2009;46(3):521-30. https://doi.org/10.1111/j.1469-8986.2009.00796.x
  29. Praeg E, Esslen M, Lutz K, et al. Neuronal modifications during visuomotor association learning assessed by electric brain tomography. Brain Topogr. 2006;19(1-2):61-75. https://doi.org/10.1007/s10548-006-0013-y
  30. Sakai K, Hikosaka O, Miyauchi S, et al. Transition of brain activation from frontal to parietal areas in visuomotor sequence learning. J Neurosci. 1998;18(5):1827-40.