4.6 Article

Sleep spindle activity correlates with implicit statistical learning consolidation in untreated obstructive sleep apnea patients

期刊

SLEEP MEDICINE
卷 86, 期 -, 页码 126-134

出版社

ELSEVIER
DOI: 10.1016/j.sleep.2021.01.035

关键词

Implicit learning; Quantitative electroencephalography; Power spectral analysis; Sleep-disordered breathing; Memory consolidation

资金

  1. Australian National Health and Medical Research Council (NHMRC) [GNT1028624]
  2. Australian Research Council (ARC) Future Fellowship [FT130101570]
  3. NHMRC Early Career Research Fellowship [GNT1035675]
  4. NHMRC Senior Research Fellowship [GNT1035675]
  5. NHMRC Practitioner Fellowship [GNT1022730]
  6. NHMRC Senior Principal Research Fellowship [GNT1106974]
  7. NHMRC-ARC Dementia Research Development Fellowship [GNT1107716]
  8. Australian NHMRC Centre of Research Excellence (CRE) grant (NeuroSleep CRE for Translational Sleep and Circadian Neurobiology) [GNT1060992]
  9. Australian Research Council [LX0775703]
  10. Australian Research Council [LX0775703] Funding Source: Australian Research Council

向作者/读者索取更多资源

This study examined the relationship between overnight consolidation of implicit statistical learning with spindle frequency EEG activity and slow frequency delta power during NREM sleep in OSA patients. The findings suggest that spindle activity may serve as a marker of statistical learning capability in OSA patients, while delta power and OSA severity were not significantly correlated with statistical learning.
Objective/Background: The 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/Methods: Forty-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. Results: SFA 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. Conclusions: These 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. (c) 2021 Elsevier B.V. All rights reserved.

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