English

Impact of Nap on Performance in Different Working Memory Tasks Using EEG

Neurons and Cognition 2023-11-16 v1 Human-Computer Interaction

Abstract

Electroencephalography (EEG) has been widely used to study the relationship between naps and working memory, yet the effects of naps on distinct working memory tasks remain unclear. Here, participants performed word-pair and visuospatial working memory tasks pre- and post-nap sessions. We found marked differences in accuracy and reaction time between tasks performed pre- and post-nap. In order to identify the impact of naps on performance in each working memory task, we employed clustering to classify participants as high- or low-performers. Analysis of sleep architecture revealed significant variations in sleep onset latency and rapid eye movement (REM) proportion. In addition, the two groups exhibited prominent differences, especially in the delta power of the Non-REM 3 stage linked to memory. Our results emphasize the interplay between nap-related neural activity and working memory, underlining specific EEG markers associated with cognitive performance.

Keywords

Cite

@article{arxiv.2311.08703,
  title  = {Impact of Nap on Performance in Different Working Memory Tasks Using EEG},
  author = {Gi-Hwan Shin and Young-Seok Kweon and Heon-Gyu Kwak and Ha-Na Jo and Seong-Whan Lee},
  journal= {arXiv preprint arXiv:2311.08703},
  year   = {2023}
}

Comments

Submitted to 2024 12th IEEE International Winter Conference on Brain-Computer Interface

R2 v1 2026-06-28T13:21:40.500Z