Effect of White Noise on Working Memory Using Event-Related Potentials

We investigated the effect of white noise on working memory performance using electroencephalography (EEG). Six healthy subjects participated in this study, and each subject performed a 2-back task under white noise and no sound conditions. After a series of EEG preprocessing, the amplitude of event-related potential (ERP) was calculated. The results indicated an increase in average accuracy and mean P300 amplitude during the white noise condition compared to without it, suggesting that white noise might enhance working memory performance. However, due to the limited number of participants, statistical power was not attained. In our future studies, we will perform additional experiments with more subjects.

Authors

Institutions

Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/apsipaasc63619.2025.10848621
Citations
1
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of White Noise on Working Memory Using Event-Related Potentials

Seungwon Lee, Jun-Seok Lee, Han‐Jeong Hwang
1 citations
Neural Networks and Applications
0.35
article

Effect of White Noise on Working Memory Using Event-Related Potentials

Seungwon Lee, Jun-Seok Lee, Han‐Jeong Hwang
article en
1 citations

Abstract

We investigated the effect of white noise on working memory performance using electroencephalography (EEG). Six healthy subjects participated in this study, and each subject performed a 2-back task under white noise and no sound conditions. After a series of EEG preprocessing, the amplitude of event-related potential (ERP) was calculated. The results indicated an increase in average accuracy and mean P300 amplitude during the white noise condition compared to without it, suggesting that white noise might enhance working memory performance. However, due to the limited number of participants, statistical power was not attained. In our future studies, we will perform additional experiments with more subjects.

Korea University (KR)
Reduced inequalities
Openalex Percentile: Top 30%
Neural Networks and Applications
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.