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James K. Wyatt

Researcher at Rush University Medical Center

Publications -  65
Citations -  5967

James K. Wyatt is an academic researcher from Rush University Medical Center. The author has contributed to research in topics: Circadian rhythm & Polysomnography. The author has an hindex of 29, co-authored 63 publications receiving 5137 citations. Previous affiliations of James K. Wyatt include Brigham and Women's Hospital & Rush University.

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Psychophysiological insomnia: the behavioural model and a neurocognitive perspective.

TL;DR: The model introduced is based on the observation that beta and/or gamma activity is enhanced in insomnia at or around sleep onset and it is proposed that this kind of high frequency EEG activity may interfere with the normal establishment of sleep onset‐related mesograde amnesia.
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Use of sleep hygiene in the treatment of insomnia.

TL;DR: A review of SH, how this concept has been applied and often modified over the past 24 years, and how it relates to the modern sleep disorder nosology, particularly Inadequate Sleep Hygiene is presented.
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Sex difference in the near-24-hour intrinsic period of the human circadian timing system

TL;DR: The average intrinsic period of the melatonin and temperature rhythms in this population was very close to 24 h, but the intrinsic circadian period observed in women was significantly shorter, which may have implications for understanding sex differences in habitual sleep duration and insomnia prevalence.
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Circadian temperature and melatonin rhythms, sleep, and neurobehavioral function in humans living on a 20-h day

TL;DR: The interaction of homeostatic and circadian processes in the regulation of waking neurobehavioral functions and sleep was studied in six healthy young subjects, demonstrating the exquisite of many neuro behavioral functions to circadian phase and the accumulation of homeOSTatic drive for sleep.
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EEG and ocular correlates of circadian melatonin phase and human performance decrements during sleep loss.

TL;DR: The data indicate that frontal areas of the brain are more susceptible to sleep loss than occipital areas and frontal EEG activity and ocular parameters may be used to monitor and predict changes in neurobehavioral performance associated with sleep loss and circadian misalignment.