Nature and Science of Sleep (Jan 2024)

Associations Between Sleep Spindle Metrics, Age, Education and Executive Function in Young Adult and Middle-Aged Patients with Obstructive Sleep Apnea

  • Sui R,
  • Li J,
  • Shi Y,
  • Yuan S,
  • Wang H,
  • Liao J,
  • Gao X,
  • Han D,
  • Li Y,
  • Wang X

Journal volume & issue
Vol. Volume 16
pp. 1 – 15

Abstract

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Rongcui Sui,1– 3 Jie Li,4 Yunhan Shi,1– 3 Shizhen Yuan,1– 3 Huijun Wang,1– 3 Jianhong Liao,1– 3 Xiang Gao,1– 3 Demin Han,1– 3 Yanru Li,1– 3 Xingjun Wang4 1Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People’s Republic of China; 2Obstructive Sleep Apnea-Hypopnea Syndrome Clinical Diagnosis and Therapy and Research Centre, Capital Medical University, Beijing, People’s Republic of China; 3Key Laboratory of Otolaryngology-Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, People’s Republic of China; 4Department of Electronic Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, People’s Republic of ChinaCorrespondence: Demin Han; Yanru Li, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang, Dongcheng District, Beijing, People’s Republic of China, Email [email protected]; [email protected]: This study aimed to investigate the association between sleep spindle metrics and executive function in individuals with obstructive sleep apnea (OSA). Furthermore, we examined the association of age and education on executive function.Patients and Methods: A total of 230 (40.90 ± 8.83 years, F/M = 45/185) participants were enrolled. Overnight electroencephalogram (C3-M2) recording detected sleep spindles by a novel U-Net-type neural network that integrates temporal information with time-frequency images. Sleep spindle metrics, including frequency (Hz), overall density (events/min), fast density (events/min), slow density (events/min), duration (sec) and amplitude (μV), were measured. Executive function was assessed using standardized neuropsychological tests. Associations between sleep spindle metrics, executive function, and demographic factors were analyzed using multivariate linear regression.Results: In fully adjusted linear regression models, higher overall sleep spindle density (TMT-A, B=− 1.279, p=0.009; TMT-B, B=− 1.813, p=0.008), fast sleep spindle density (TMT-A, B=− 1.542, p=0.048; TMT-B, B=− 2.187, p=0.036) and slow sleep spindle density (TMT-A, B=− 1.731, p=0.037; TMT-B, B=− 2.449, p=0.034) were associated with better executive function. And the sleep spindle duration both during N2 sleep time (TMT-A, B=− 13.932, p=0.027; TMT-B, B=− 19.001, p=0.034) and N3 sleep time (TMT-B, B=− 29.916, p=0.009; Stroop-incongruous, B=− 21.303, p=0.035) was independently associated with better executive function in this population. Additionally, age and education were found to be highly associated with executive function.Conclusion: Specific sleep spindle metrics, higher overall density, fast density and slow density during N2 sleep time, and longer duration during N2 and N3 sleep time, are independent and sensitive indicators of better executive function in young adult and middle-aged patients with OSA. Further research is needed to explore the underlying mechanisms and clinical implications of these findings.Keywords: sleep spindle metrics, executive function, obstructive sleep apnea, young adults, middle-aged adults

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