ABSTRACT
A major concern voiced by motor behavior scientists is to find useful practice techniques that can be effective in improving motor learning and performance. Neurofeedback and self-controlled practice are among the techniques that have recently drawn attention from specialists in this area. The present study examined the additive and individual effects of sensorimotor rhythm (SMR) neurofeedback as well as self-controlled practice on motor learning and performance in novice golfers. In this semi-empirical study, forty adults (20 females, Meanage = 26.10, SD = 5.56 years) were conveniently selected and randomly assigned to four groups: (1) neurofeedback/self-controlled practice, (2) neurofeedback/yoked practice, (3) sham/self-controlled practice, and (4) sham/yoked practice. The participants performed golf putting task in four stages, namely pretest (12 trials), intervention (one day after pretest; 6 sessions, 36 trails each), post-test (one day after intervention; 12 trials), and follow-up (two weeks after interventions; 12 trials). In addition, the participants had their EEG (SMR wave in Cz point) recorded during pretest, post-test, and follow-up. The results indicated that, although no additive effect was observed for the two practices during different stages of the experiment (p > 0.05), in acquisition and post-test stages, SMR neurofeedback and self-controlled practice independently facilitated golf putting (p ≤ 0.05). However, in the follow-up test, only the neurofeedback practice maintained its positive effects (p ≤ 0.05). The results also showed that participation in SMR neurofeedback practice can enhance the power of the SMR wave (p ≤ 0.05), regardless of the type of the self-controlled practice used. In sum, the two practice techniques seem to be independently effective in facilitating motor learning in instructional settings, particularly for golfers.
ABSTRACT
BACKGROUND: Recently, a great number of studies have been carried out to model soft tissue deformation in contact with surgical instruments to aid the development of surgical simulators. Precise methods to model the soft tissue such as the Finite Element Method (FEM) lack accuracy in large deformations. METHODS: An innovative meshless method is used, which has high precision and is applicable to large deformations. The meshless simulation method is implemented for a 2D beam and a 3D cube. Experiments are conducted for two silicone-gel samples to verify the correctness of the method. RESULTS: The meshless results in 2D and 3D show better accuracy for large deformations in comparison with the FEM. This method is used to model human organs such as liver and gallbladder. CONCLUSION: It is concluded that the proposed model exhibits good accuracy as well as speed. Thus, it seems promising to be employed in surgical simulators. Copyright © 2015 John Wiley & Sons, Ltd.