Host: Japan Society of Kansei Engineering
Name : The 9th International Symposium on Affective Science and Engineering
Number : 9
Location : Online Academic Symposium
Date : March 08, 2023
NeuroFeedback (NF) is a method of altering the brain information of users, and it has been widely applied in the fields of medical and welfare. Recently, the research which aimed at improving cognitive function in healthy subjects has attracted a lot of attention. Many studies used EEG frequency bands and behavioral indices to improve and evaluate cognitive function. However, the evaluation of cognitive function using brain information indices mainly on the discussion of EEG frequency band. In addition, the frequency band has been mainly treated as a fixed band (alpha band et al.). In this study, we trained Upper Alpha (UA) based on individual alpha frequency using a proposed NF method, and not only confirm the changes in UA, but also examines the changes of P300. We found that training UA significantly reduced the latency of P300. In the future, we will use a control group to investigate whether the reduction of P300 latency is caused by NF and how the number of NF affects the latency of P300.
