Quantitative electroencephalogram measures in adult obstructive sleep apnea - Potential biomarkers of neurobehavioural functioning

被引:56
作者
D'Rozario, Angela L. [1 ,2 ,3 ,4 ,5 ]
Cross, Nathan E. [1 ]
Vakulin, Andrew [1 ,6 ]
Bartlett, Delwyn J. [1 ,7 ]
Wong, Keith K. H. [1 ,4 ,5 ,7 ]
Wang, David [1 ,4 ,5 ,7 ]
Grunstein, Ronald R. [1 ,4 ,5 ,7 ]
机构
[1] Univ Sydney, Woolcock Inst Med Res, CIRUS Ctr Sleep & Chronobiol, Sydney, NSW, Australia
[2] Univ Sydney, Brain & Mind Ctr, Fac Sci, Sch Psychol, Sydney, NSW, Australia
[3] Univ Sydney, Charles Perkins Ctr, Sydney, NSW, Australia
[4] Royal Prince Alfred Hosp, Dept Resp & Sleep Med, Sydney, NSW, Australia
[5] Sydney Local Hlth Dist, Sydney, NSW, Australia
[6] Flinders Univ S Australia, Fac Med Nursing & Hlth Sci, Sch Med, Adelaide Inst Sleep Hlth Flinders Ctr Res Excelle, Bedford Pk, SA, Australia
[7] Univ Sydney, Sydney Med Sch, Sydney, NSW, Australia
基金
澳大利亚国家健康与医学研究理事会; 英国医学研究理事会;
关键词
Quantitative EEG analysis; Power spectral analysis; Signal processing; Sleep disordered breathing; Cognition; Performance; SLOW-WAVE ACTIVITY; AIRWAY PRESSURE TREATMENT; EEG SPECTRAL POWER; EYE-MOVEMENT SLEEP; DAYTIME SLEEPINESS; INTERMITTENT HYPOXIA; PREFRONTAL CORTEX; SUSTAINED WAKEFULNESS; NOCTURNAL HYPOXIA; HEALTHY-SUBJECTS;
D O I
10.1016/j.smrv.2016.10.003
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Obstructive sleep apnea (OSA) results in significantly impaired cognitive functioning and increased daytime sleepiness in some patients leading to increased risk of motor vehicle and workplace accidents and reduced productivity. Clinicians often face difficulty in identifying which patients are at risk of neurobehavioural dysfunction due to wide inter-individual variability, and disparity between symptoms and conventional metrics of disease severity such as the apnea hypopnea index. Quantitative electroencephalogram (EEG) measures are determinants of awake neurobehavioural function in healthy subjects. However, the potential value of quantitative EEG (qEEG) measurements as biomarkers of neurobehavioural function in patients with OSA has not been examined. This review summarises the existing literature examining qEEG in OSA patients including changes in brain activity during wake and sleep states, in relation to daytime sleepiness, cognitive impairment and OSA treatment. It will speculate on the mechanisms which may underlie changes in EEG activity and discuss the potential utility of qEEG as a clinically useful predictor of neurobehavioural function in OSA. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:29 / 42
页数:14
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