2016
DOI: 10.1111/jsr.12372
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Alpha‐wave frequency characteristics in health and insomnia during sleep

Abstract: SUMMARYAppearances of alpha waves in the sleep electrencephalogram indicate physiological, brief states of awakening that lie in between wakefulness and sleep. These microstates may also cause the loss in sleep quality experienced by individuals suffering from insomnia. To distinguish such pathological awakenings from physiological ones, differences in alphawave characteristics between transient awakening and wakefulness observed before the onset of sleep were studied. In polysomnographic datasets of sleep-hea… Show more

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Cited by 35 publications
(21 citation statements)
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References 42 publications
(62 reference statements)
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“…Alpha oscillations are associated with arousals and brief states of awakening that occur during sleep (microarousals). 48 More specifically, α power during REM sleep has been suggested to indicate the occurrence of microarousals, which cause sleep to be unstable for short periods of time. 49,50 Additionally, increased α power within NREM sleep has been associated with sleep fragility (unstable sleep) and awareness of one's external environment during sleep.…”
Section: Preterm Fgr Childrenmentioning
confidence: 99%
“…Alpha oscillations are associated with arousals and brief states of awakening that occur during sleep (microarousals). 48 More specifically, α power during REM sleep has been suggested to indicate the occurrence of microarousals, which cause sleep to be unstable for short periods of time. 49,50 Additionally, increased α power within NREM sleep has been associated with sleep fragility (unstable sleep) and awareness of one's external environment during sleep.…”
Section: Preterm Fgr Childrenmentioning
confidence: 99%
“…Generally, EEG oscillations are the most widely used biomarkers of sleep processes and vigilance states, and for example, beta activity (15-35 Hz) is not only a marker of arousal during active wakefulness, but also reflects sleep drive during quiet wakefulness [31]. EEG alpha activity (8)(9)(10)(11)(12), as the most distinctive EEG pattern of wakefulness, in particular when the eyes are closed, characterizes also the transition from wakefulness to sleep, arousal from sleep, and presents an indicator of neurodegeneration [32].…”
Section: Discussionmentioning
confidence: 99%
“…Однако, несмотря на очевидную роль таламо-кортикального взаимодействия в распро-странении разрядной активности при эпилепсии в экспериментальных и математических моделях [2, 9,20], патофизиологические аспекты его иссле-дованы недостаточно для выявления однозначных взаимосвязей [21]. Особенности и эволюция аль-фа-ритма в норме и при неэпилептической пато-логии постоянно и активно изучаются, в том числе с применением все более новых и сложных методов математической обработки [10,19,22]. Более под-робное изучение особенностей альфа-активности у пациентов с эпилепсией на фоне приема противо-эпилептической терапии, вероятно, позволит увели-чить прогностическую ценность ЭЭГ у этой группы пациентов [11].…”
Section: вве дениеunclassified