EEG sleep in elderly depressed, demented, and healthy subjects

Reynolds, Charles F.; Kupfer, David J.; Taska, Lynn S.; Hoch, Carolyn C.; Spiker, Duane G.; Sewitch, Deborah E.; Zimmer, Ben; Marin, Robert S.; Nelson, John P.; Martin, David C.; Morycz, Richard K.

doi:10.1016/0006-3223(85)90045-9

Cited by 203 publications

(79 citation statements)

References 17 publications

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“…Older subjects have been shown to have significantly greater difficulties returning to sleep following within-sleep awakenings, and the disparity in return-to-sleep latencies between young and old subjects increases toward the end of the night (Webb and Campbell 1980). Thus, the sleep efficiency of older subjects with sleep maintenance difficulties often drops below 80% (Dement et al 1982;Dement et al 1985;Roehrs et al 1985;Reynolds et al 1985a;Reynolds et al 198%;Ehlers and Kupfer 1989).…”

Section: Discussionmentioning

confidence: 99%

“…Its level and time-course are thought to be reflected in slow-wave E E G activity. There is considerable evidence that slow-wave sleep parameters undergo significant changes as a function of aging (Feinberg and Carlson 1968;Ingram et al 1982;Webb and Dreblow 1982;Reynolds et al 1985a;Ehlers and Kupfer 1989;Dijk et al 1989b). Delta power, as well as absolute delta count, may be reduced in older individuals.…”

Section: Discussionmentioning

confidence: 99%

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Aging young sleep: a test of the phase advance hypothesis of sleep disturbance in the elderly

Campbell

Dawson

1992

Journal of Sleep Research

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S U M M A R YWith aging, the phase relationship between sleep a n d body core temperature is altered such that the temperature minimum occurs substantially earlier in the major nocturnal sleep period. T h e sleep maintenance difficulties that often accompany normal aging a r e generally assumed t o b e associated with this age-related change in the phase angle between sleep and temperature. To test this notion, we used timed exposure t o bright light t o reproduce in healthy young adults a similar phase relationship between temperature and sleep, t o determine If. such a manipulation would induce the same fragmented nocturnal sleep commonly observed in individuals over 65 years of age. Seven young adults were exposed to morning bright light for 3 consecutive days following a baseline night. Bright light exposure caused a 97 min phase advance of the fitted temperature minimum when compared with baseline. Significant declines in several measures of sleep quality were associated with the phase advance, including wakefulness after initial sleep onset (WASO), sleep efficiency and number of stage changes. Yet, the severity of sleep disturbance exhibited by these subjects did not approach that exhibited by most elderly subjects. T h e findings suggest that while chronophysiological changes appear to be strongly associated with the tendency to awaken in the early morning, they cannot account entirely for the severity of sleep disturbance frequently observed in older subjects.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Aging young sleep: a test of the phase advance hypothesis of sleep disturbance in the elderly

Campbell

Dawson

1992

Journal of Sleep Research

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“…The nocturnal sleep of elderly depressed and Alzheimer dementia patients can be distinguished by differences in REM sleep and sleep maintenance indices (1,2). Other studies have also reported decreased slow wave sleep time and percentage of time spent asleep in Alzheimer patients (particularly the more severely demented) as compared with controls (3,4), as well as decreased numbers of sleep spindles and K-complexes correlating with severity of dementia (2)(3)(4)(5).…”

mentioning

confidence: 97%

“…Other studies have also reported decreased slow wave sleep time and percentage of time spent asleep in Alzheimer patients (particularly the more severely demented) as compared with controls (3,4), as well as decreased numbers of sleep spindles and K-complexes correlating with severity of dementia (2)(3)(4)(5). In general, however, the standard all-night summary measures of slow wave sleep (minutes, percent of time asleep) are limited in their ability to demonstrate group differences among healthy elderly controls, patients with probable Alzheimer dementia, and elderly depressive patients.…”

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confidence: 99%

Slow Wave Sleep in Elderly Depressed, Demented, and Healthy Subjects

Reynolds

Kupfer

Taska

et al. 1985

Sleep

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Summary: The application of automated analysis in the measurement of sleep electroencephalogram delta activity allows a more precise temporal description of slow wave sleep changes in normal and pathological aging than do standard, all-night, slow wave sleep measures. Thus, with a baseline crossing technique, elderly depressives were shown to have a higher delta count per minute during the second NREM sleep period than did controls or demented subjects. This difference reflected greater activity per minute in the 2-3 Hz frequency band (75-200 fLY). Key Words: Period and amplitude analysis-Slow wave sleep-Elderly depression-Alzheimer dementia.The nocturnal sleep of elderly depressed and Alzheimer dementia patients can be distinguished by differences in REM sleep and sleep maintenance indices (1,2). Other studies have also reported decreased slow wave sleep time and percentage of time spent asleep in Alzheimer patients (particularly the more severely demented) as compared with controls (3,4), as well as decreased numbers of sleep spindles and K-complexes correlating with severity of dementia (2-5). In general, however, the standard all-night summary measures of slow wave sleep (minutes, percent of time asleep) are limited in their ability to demonstrate group differences among healthy elderly controls, patients with probable Alzheimer dementia, and elderly depressive patients. This may reflect the age-dependent decrease in slow wave sleep (6-8). Moreover, all-night summary indices convey no information about differences in the intranight temporal distribution of slow wave activity in the sleep electroencephalogram (EEG) or differences in the frequency composition of slow wave sleep (9). We report here the application of a baseline crossing technique with an amplitude criterion in a comparative EEG sleep study of elderly depressed patients, probable Alzheimer patients, and healthy elderly controls.

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“…15 These data also suggest that further examination of specific components of sleep in PD patients (e.g., breathing disruptions, muscle activity) is probably best accomplished by limiting comparisons to REM vs. NREM sleep. Additionally, we would recommend that analysis of phasic muscle activity, recorded not only from the mentalis/submentalis, but also limb leads, be employed routinely in PD to assist in REM sleep identification.…”

Section: Discussionmentioning

confidence: 99%

Inter-rater Reliability for Identification of REM Sleep in Parkinson's Disease

Bliwise

Willians²,

Irbe³

et al. 2000

Sleep

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Abstract:Recently described functional connections between basal ganglia and brainstem circuits provide a neurobiologic basis for the absence of REM sleep atonia in Parkinson's disease (PD). However, identifying atypical REM sleep in PD may be problematic. Reliable sleep staging has never been demonstrated in such patients. In this study, 3 experienced scorers independently evaluated overnight polysomnograms from 10 (PD) patients. Results indicated good agreement for distinguishing REM from NREM sleep and waking. Reliable differentiation among NREM stages was more difficult to achieve. The results suggest that, despite suspension of REM sleep atonia accompanying PD, trained scorers can distinguish REM from wakefulness and NREM sleep.

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EEG sleep in elderly depressed, demented, and healthy subjects

Cited by 203 publications

References 17 publications

Aging young sleep: a test of the phase advance hypothesis of sleep disturbance in the elderly

Aging young sleep: a test of the phase advance hypothesis of sleep disturbance in the elderly

Slow Wave Sleep in Elderly Depressed, Demented, and Healthy Subjects

Inter-rater Reliability for Identification of REM Sleep in Parkinson's Disease

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