%A Nan,Wenya %A Wan,Feng %A Vai,Mang I %A Da Rosa,Agostinho C. %D 2015 %J Frontiers in Human Neuroscience %C %F %G English %K Neurofeedback Training,beta/theta ratio,Self-regulation,prediction,learning indices %Q %R 10.3389/fnhum.2015.00677 %W %L %M %P %7 %8 2015-December-21 %9 Original Research %+ Feng Wan,Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau,Macau, China,fwan@um.edu.mo %# %! Prediction of learning ability in beta/theta ratio neurofeedback %* %< %T Resting and Initial Beta Amplitudes Predict Learning Ability in Beta/Theta Ratio Neurofeedback Training in Healthy Young Adults %U https://www.frontiersin.org/articles/10.3389/fnhum.2015.00677 %V 9 %0 JOURNAL ARTICLE %@ 1662-5161 %X Neurofeedback (NF) training has been proved beneficial in cognitive and behavioral performance improvement in healthy individuals. Unfortunately, the NF learning ability shows large individual difference and in a number of NF studies there are even some non-learners who cannot successfully self-regulate their brain activity by NF. This study aimed to find out the neurophysiological predictor of the learning ability in up-regulating beta-1 (15–18 Hz)/theta (4–7 Hz) ratio (BTR) training in healthy young adults. Eighteen volunteers finished five training sessions in successive 5 days. We found that low beta (12–15 Hz) amplitude in a 1-min eyes-open resting baseline measured before training and the beta-1 amplitude in the first training block with 4.5-min duration could predict the BTR learning ability across sessions. The results provide a low cost, convenient and easy way to predict the learning ability in up-regulating BTR training, and would be helpful in avoiding potential frustration and adjusting training protocol for the participants with poor learning ability.