Sleep spindle activity correlates with implicit statistical learning consolidation in untreated obstructive sleep apnea patients |
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| Institution: | 1. CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia;2. College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia;3. Adelaide Institute for Sleep Health: A Flinders Centre of Research Excellence, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia;4. Faculty of Pharmacy, The University of Sydney, Sydney, Australia;5. Department of Healthcare IT, Inje University, Inje-ro 197, Kimhae, Kyunsangnam-do, 50834, South Korea;6. Neuroscience Research Australia (NeuRA), Sydney, Australia;7. School of Medical Sciences, The University of New South Wales, Sydney, Australia;8. Royal Prince Alfred Hospital, Sydney Health Partners, NSW, Australia;9. Sydney Medical School, The University of Sydney, NSW, Australia;10. Surrey Sleep Research Centre, University of Surrey, Guildford, UK;11. UK Dementia Research Institute at the University of Surrey, UK;12. The University of Sydney, School of Psychology, Brain and Mind Centre and Charles Perkins Centre, Australia |
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| Abstract: | Objective/BackgroundThe aim of this study was to examine the relationship between overnight consolidation of implicit statistical learning with spindle frequency EEG activity and slow frequency delta power during non-rapid eye movement (NREM) sleep in obstructive sleep apnea (OSA).Patients/MethodsForty-seven OSA participants completed the experiment. Prior to sleep, participants performed a reaction time cover task containing hidden patterns of pictures, about which participants were not informed. After the familiarisation phase, participants underwent overnight polysomnography. 24 h after the familiarisation phase, participants performed a test phase to assess their learning of the hidden patterns, expressed as a percentage of the number of correctly identified patterns. Spindle frequency activity (SFA) and delta power (0.5–4.5 Hz), were quantified from NREM electroencephalography. Associations between statistical learning and sleep EEG, and OSA severity measures were examined.ResultsSFA in NREM sleep in frontal and central brain regions was positively correlated with statistical learning scores (r = 0.41 to 0.31, p = 0.006 to 0.044). In multiple regression, greater SFA and longer sleep onset latency were significant predictors of better statistical learning performance. Delta power and OSA severity were not significantly correlated with statistical learning.ConclusionsThese findings suggest spindle activity may serve as a marker of statistical learning capability in OSA. This work provides novel insight into how altered sleep physiology relates to consolidation of implicitly learnt information in patients with moderate to severe OSA. |
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| Keywords: | Implicit learning Quantitative electroencephalography Power spectral analysis Sleep-disordered breathing Memory consolidation |
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