Features of brain rhythms during the visual memorizing task and auditory stimuli using electroencephalography

Abstract

Introduction: Brain rhythms are usually measured using electroencephalography (EEG) to detect changes in neuronal activity associated with specific human activity and behavior. This research determines the effectiveness of auditory stimulation for visual memory based on the features of brain rhythm. Methods: The research design involved three main stages: data acquisition, data processing, and data analysis. Sixty university students were selected as participants. They are inquired to memorize and recalled the visual memory assessment under exposure to Mozart's Sonata music and white noise stimulation with EEG recording. The data acquisition was obtained using 10-20 electrode placement of EEG imaging technique. The wavelet transform approach was used to process the EEG dataset, and the features were statistically analyzed using a t-test. Results: Participants were found to memorize better under the white noise stimulation with a mean score of 64.0%. Based on statistical analysis, it was shown that the stimuli had a significant impact on the EEG voltage trend and relative rhythm power. The relative alpha, gamma, and beta power were higher when exposed to white noise, indicating that alertness and sensory information processing were improved. Conclusion: Therefore, it showed that memorizing visual memory tasks under white noise auditory stimulation had improved participants memory due to activation of certain brain rhythms at specific locations.