Investigating the Impact of Habitual Sleep Quality on Episodic Memory Performance: An EEG-Based Representational Similarity Analysis
Seraji, M.; Mirjalili, S.; Duarte, A.; Calhoun, V. D.
Show abstract
Sleep is crucial for episodic memory consolidation, yet the impact of habitual sleep quality on memory performance remains underexplored. This study investigates the relationship between sleep quality and episodic memory retrieval using EEG-based representational similarity analysis (RSA). Thirty-six participants wore wrist accelerometers for one week to capture habitual sleep patterns, including total sleep time and restlessness. Memory performance was assessed through a paired associate learning task, with EEG data recorded during encoding and retrieval phases. RSA was applied to EEG oscillatory power across time-frequency windows to examine the neural similarity between encoding and retrieval. The results showed both positive and negative correlations between sleep metric and memory performance, with sleep restlessness being linked to both increases and decreases in neural similarity across specific clusters. These findings emphasize the important role of sleep quality in shaping the neural processes underlying episodic memory retrieval, indicating a strong connection between sleep patterns and memory function.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The relationship between subjective sleep quality and cognitive performance in healthy young adults: Evidence from three empirical studies 94%
- Topographical relocation of adolescent sleep spindles reveals a new maturational pattern of the human brain 94%
- Decreased electrocortical temporal complexity distinguishes sleep from wakefulness 93%
Similar papers in this journal
- Does the Heart Fall Asleep? – Diurnal Variations of Heart Rate Variability in Patients with Disorders of Consciousness 94%
- Reliability and Validity of Cognitive Workload in Older Adults 93%
- Connectivity in Large-Scale Resting State Brain Networks is Related to Motor Learning: a High-Density EEG Study 92%
Similar papers in this journal
- Evaluation of Dreem headband for sleep staging and EEG spectral analysis in people living with Alzheimer’s and older adults 96%
- Corticothalamic modelling of sleep neurophysiology with applications to mobile EEG 94%
- The association between cortical gyrification and sleep in adolescents and young adults. 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.