| Sumario: | Background: Achieving optimal performance in problem solving is the most important goal in neurological feedback training for EEG. The purpose of the present study was to investigate the effect of EEG on the improvement of the problem solving function. Methods: In the present pretest-posttest and placebo group study, EEG neural network and London Tower test were used. A total of 30 volunteers were selected and then divided into two groups of experimental and control (15 each). At first, the problem-solving test was administered as a pretest for both groups. The experimental group received 20 sessions of feedback from the EEG receptor, which was real and depended on their performance, but the feedback received by the placebo group was accidental and depended on their performance. Then, after 20 sessions of treatment, the problem-solving test was administered gain as post-test. SPSS, version 21, was used for data analysis and to measure the problem solving function, Tower of London software was used. Results: EEG back pain learning improves the performance of problem solving, which was significant at the level of P <01/0. The differences between the two groups in terms of the time of occurrence [FF = 80.85, P <0.005], total time [F = 54.51, P <0.001], experimental time [F = 14.62, P <0.001], and error rate [18/27 F =, P <0.001] were significantly different. In other words, patients whose SMS messages depended on their performance had better performance compared with whose performance was random. Conclusion: It seems that using neural feedback we can keep brain waves at the optimum level.
|
|---|