PUB - Publikationen an der Universität Bielefeld

Neurofeedback training (NFT) is a technique in which we train the brain to help improve its functioning through self-regulation of the electroencephalogram (EEG). Previous findings has been found that training participants to increase sensorimotor rhythm (SMR) power was associated with more adaptive motor performance. However, novel insights can be obtained for a measurement which can investigate the cognitive measure of the memory structure of the movements through learning. The SDA-M (Structural Dimension Analysis of Mental Representation) approach is an ideal candidate which provides insights on changes on mental representation and can be combined with neurophysiological measurements. This project is designed to evaluate the effect of SMR NFT on golf putting performance by employing the SDA-M methodology. Twenty-two novices will be recruited and randomly assigned to either a SMR NFT group or a control group. Each participant will be requested to perform 80 putts and SDA-M test in pre-test, post-test and retention test. Three NFT sessions will be performed between pre-test and post-test. We predict that the SMR NFT group will enhance putting performance and show a more distinguished hierarchical structure of the mental representation after training in contrast to the control group.