Upper alpha neurofeedback training enhances working memory performance using LabVIEW

Abstract

This study aimed to improve working memory performance by the enhancement of upper alpha band of electroencephalography (EEG) using Neurofeedback Training (NFT). Twenty five healthy subjects were trained on five sessions by means of feedback provided in the form of visual cues. The EEG signal is acquired using single channel electrode and connected to the system through Data Acquisition Device (DAQ). The upper alpha band (10-13 Hz) signal is extracted using LabVIEW software. Then the subject is asked to stay relaxed by viewing the natural scenes displaying in the system. With appropriate protocol designed for NFT, the end results showed that the participants were able to learn to increase the relative amplitude levels in individual alpha band during neurofeedback training and working memory performance was significantly improved by the enhancement of upper alpha band. On the first and last session, cognitive skill is tested by a conceptual span test and the scores are compared. In this study, 25 subjects showed significant success of training.