title: Resting alpha activity predicts learning ability in alpha neurofeedback.
abstract: Individuals differ in their ability to learn how to regulate the brain activity by neurofeedback. This study aimed to investigate whether the resting alpha activity can predict the learning ability in alpha neurofeedback. A total of 25 subjects performed 20 sessions of individualized alpha neurofeedback and the learning ability was assessed by three indices respectively: the training parameter changes between two periods, within a short period and across the whole training time. It was found that the resting alpha amplitude measured before training had significant positive correlations with all learning indices and could be used as a predictor for the learning ability prediction. This finding would help the researchers in not only predicting the training efficacy in individuals but also gaining further insight into the mechanisms of alpha neurofeedback.
authors: Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau Taipa, Macau.
authors: Feng
authors: F
authors: Wan
authors: Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau Taipa, Macau.
authors: Wenya
authors: W
authors: Nan
authors: Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau Taipa, Macau.
authors: Mang I
authors: MI
authors: Vai
authors: Department of Bio Engineering, Systems and Robotics Institute, Technical University of Lisbon Lisbon, Portugal.
authors: Agostinho
authors: A
authors: Rosa
keywords: alpha band; learning ability; neurofeedback; prediction; resting baseline