Assessment of Unconsciousness for Memory Consolidation Using EEG Signals
Gi-Hwan Shin, Minji Lee, Seong-Whan Lee

TL;DR
This study investigates how unconscious states during sleep affect memory consolidation by analyzing EEG signals, revealing specific brain activity patterns linked to memory performance during unconsciousness.
Contribution
It introduces a novel approach to assess unconsciousness in memory consolidation using EEG signals during sleep, focusing on neural correlates of unconscious memory processing.
Findings
Spindle power correlates positively with location memory performance.
Negative correlations between delta, alpha, spindle connectivity and memory tasks.
Brain activity changes during unconsciousness relate to subsequent memory recall.
Abstract
The assessment of consciousness and unconsciousness is a challenging issue in modern neuroscience. Consciousness is closely related to memory consolidation in that memory is a critical component of conscious experience. So far, many studies have been reported on memory consolidation during consciousness, but there is little research on memory consolidation during unconsciousness. Therefore, we aim to assess the unconsciousness in terms of memory consolidation using electroencephalogram signals. In particular, we used unconscious state during a nap; because sleep is the only state in which consciousness disappears under normal physiological conditions. Seven participants performed two memory tasks (word-pairs and visuo-spatial) before and after the nap to assess the memory consolidation during unconsciousness. As a result, spindle power in central, parietal, occipital regions during…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEEG and Brain-Computer Interfaces · Sleep and Wakefulness Research · Memory and Neural Mechanisms
