Effect of Audio White Noise Stimulation on EEG Voltage Patterns during Visual Learning Assessment
Introduction: The advancement of brain modalities has attracted many researchers to discover the effect of auditory stimuli on brain activities and responses. Until recently, fewer studies were reported investigating the relationship of audio white noise on visual learning phases using electroencephalography (EEG) modality. Objectively, current research targets to solve this issue by including indicator based brain activities. In addition, this research also discovered the differences among brain patterns during encoding and recognition that are not deeply investigated. Materials and Methods: Experimental work was conducted with twenty participants from higher learning institutions. They were instructed to learn the visual items and retrieve them at a specific time and under particular circumstances. The brain responses during the assessment were recorded using an EEG machine and processed via a Butterworth bandpass filter to eliminate the artefacts and extract meaningful features. Results: It was observed that the most influential EEG channels were F7 and Fp2, with ranges between 20 to 60 μV and 9 to 50 μV. Similar patterns of rise and decrease trend were also found for tested conditions. High EEG mean voltage was found for difficult levels compared to easy levels. In addition, the behavioural result showed a better score for audio white noise compared to the control condition. Conclusion: The results were associated with activating brain activities related to judgment and verbal expression. Audio white noise is recommended to improve visual learning based on the indicators.
Authors
- Rubita Sudirman (ORCID: https://orcid.org/0000-0002-9399-8097)
- Syarifah Noor Syakiylla Sayed Daud (ORCID: https://orcid.org/0000-0003-1582-9674)
Publication Details
- Journal
- Malaysian Journal of Medicine and Health Sciences
- Published
- 2025-05-15
- DOI
- https://doi.org/10.47836/mjmhs.21.s2.7
- Primary Topic
- Neuroscience, Education and Cognitive Function
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universiti Teknologi Malaysia