The DOI matches its Crossref record.
Sleep Disturbances in Patients With Mild-Stage Alzheimer's Disease
Abstract
We examined the ability of sleep/wake measures to discriminate 45 control subjects from 44 mild Alzheimer's disease (AD) patients. Sleep fragmentation was observed as indicated by significant increases in time awake (37-52%) and number of awakenings (31-36%) during the night as compared to controls. Further, slow wave sleep (SWS) was significantly reduced (22%) in AD patients relative to controls. These findings are consistent with our earlier observations of increased wakefulness and decreased SWS in mild-moderate, moderate-severe, and severe stage AD patients. However, when we used these sleep/wake stage measures in discriminant analyses to classify the current AD subjects vs control subjects, the analyses failed to confirm our earlier high classification rate (90%). The present groups were discriminated at overall classification rates of only 63-67%. We conclude that while sleep/wake patterns are significantly disturbed in AD, this phenomenon is not diagnostically useful for discrimination of mild stage AD.
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“in patients with AD, sleep disruptions tend to begin after diagnosis261”
From Rhythms of life: circadian disruption and brain disorders across the lifespan (2019) · cites this paper as [261]
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Kollarik, S., Moreira, C. G., Dias, I., Bimbiryte, D., Miladinovic, D., Buhmann, J. M., Baumann, C. R., & Noaín, D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.25.465747 · Cited by 1
Hypothalamic MCH neurons links tau pathology to sleep disruptionPreprint
Pang, K., Guo, S., Yang, R., Kumar, A., Morse, W. D., Xu, L., Liu, Q., Jiang, D., & Zhong, P. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.31.729026 · Cited by 1
Melatonin Efficacy to Treat Circadian Alterations of Sleep in Alzheimer’s Disease
Cardinali, D. P., Furio, A. M., Brusco, L. I., & Liberczuk, C. (2006) · Springer eBooks · doi:10.1007/0-387-27682-3_11
Sleep Disturbances in Alzheimer 's Disease and Caregiver Mood: A Diary Study
Åkerstedt, A. M. (2019) · ScholarWorks@UMassAmherst (University of Massachusetts Amherst) · doi:10.7275/zjmv-fs98
Drs. Vitiello and Ancoli-Israel Reply
Vitiello, M. V., & Ancoli‐Israel, S. (2006) · American Journal of Geriatric Psychiatry · doi:10.1097/01.jgp.0000231679.93849.c7
Self-citationTrastornos conductuales en pacientes con enfermedad de Alzheimer
Martínez, M. F. (2003) · Gaceta Médica de Bilbao · doi:10.1016/s0304-4858(03)74438-2
Singer, C. M., Tractenberg, R. E., Kaye, J. A., Schafer, K., Gamst, A. C., Grundman, M., & Thal, L. J. (2003)
Sleep and Nocturnal Delirium in the Dementias
Bliwise, D. L. (1999) · CRC Press eBooks · doi:10.1201/9780824741914.ch12
Alzheimer’s Disease and the Sleep–Wake Cycle
Bero, A. W., & Tsai, L. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802851-3.00010-3
SLEEP ALTERATIONS IN MOUSE GENETIC MODELS OF HUMAN DISEASE
Sethi, M. (2016) · UKnowledge (University of Kentucky) · doi:10.13023/etd.2016.522
Article Sleep Interacts with Ab to Modulate Intrinsic Neuronal Excitability
Tabuchi, M., Lone, S. R., Liu, S., Liu, Q., Zhang, J., Spira, A. P., & Wu, M. N. (2015)
Sueño, respiración y trastornos neurológicos
Chokroverty, S., & Montagna, P. (2011) · Elsevier eBooks · doi:10.1016/b978-84-8086-733-7.00029-2
Devanand, D. P., Pelton, G. H., Roose, S. P., LAWLOR, B. A., Swanwick, G., Tariot, P. N., & Swearer, J. M. (2003) · doi:10.1002/9780470752340.ch42
Animal Models for the Study of Neurological Diseases and Their Link to Sleep
Rubio, C., González-Sánchez, E., Lee, Á., Ponce-Juárez, A., Serrano‐García, N., & Rubio‐Osornio, M. (2025) · Biomedicines · doi:10.3390/biomedicines13082005
“Evidence has highlighted the crucial role of sleep disruptions in Alzheimer’s disease etiology [175,176].”
Shin, J., Brady, E. S., Chen, C., Lauderdale, K., Agrawal, A., Zhang, Y., Jiang, X., Nambiar, P., Herbert, J., Mallen, D. D., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.11.687887
“Sleep disturbances are detected during preclinical stages in people at risk of developing AD and are exacerbated by APOE4 genotype 42-44 .”
Giménez, S., & Boeve, B. F. (2025) · Cambridge University Press eBooks · doi:10.1017/9781108985055.025
Hector, A., Provost, C., Delignat‐Lavaud, B., Bouamira, K., Menaouar, C.-A., Mongrain, V., & Brouillette, J. (2023) · Figshare · doi:10.6084/m9.figshare.24309863
Blackman, J., Morrison, H. D., Gabb, V. G., Biswas, B., Li, H., Turner, N., Jolly, A., Trender, W. R., Hampshire, A., Whone, A. L., et al. (2023) · Figshare · doi:10.6084/m9.figshare.24187870
Shi, X., Fan, X., Cai, Y., Luo, Z., Liu, Y., Feng, S., Gan, L., Wang, Q., Chen, L., & Pan, J. (2026) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2026.111678
Katsuki, F., McNally, J. M., Gerashchenko, D., Uygun, D. S., Tyler, A., McCoy, J. G., McKenna, J. T., & Brown, R. E. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.26.725476
Kolling, L. J., Wang, R., Gaudencio, G., Fishbeyn, J. S., James, T. D., Mason, S., McCoy, R. O., Song, Z., McConnell, I., Ziemke, K., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71687
Lee, M. J., Kim, J., Choi, H. J., Keum, M., Byeon, G., Ryu, V., Suh, G., Kim, J. W., Choe, Y. M., & Initiative, A. D. N. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261487625
Metadata
- Authors
- Vitiello, M. V., Prinz, P. N., Williams, D. E., Frommlet, M. S., & Ries, R. K.
- Affiliations
- University of Washington (US)
- Venue
- Journal of Gerontology
- Publisher
- Oxford University Press (OUP)
- Published
- 1990-07-01
- Volume
- 45
- Issue
- 4
- Pages
- M131-M138
- ISSN
- 0022-1422 (ISSN-L)
- OpenAlex
- W2121766792
- Cited by
- 223
- References
- 0
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 7 · 2023: 15 · 2022: 11 · 2021: 12 · 2020: 11 · 2019: 13 · 2018: 8 · 2017: 7 · 2016: 7 · 2015: 5 · 2014: 8 · 2013: 4 · 2012: 10
- FWCI
- 3.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Gerontology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01mh045186-03, 5r23ag004348-03)
- National Institute on Aging (AG04348)
- National Institute of Mental Health (MH-45186, MH33688)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Keywords
- Alzheimer's disease, mild Alzheimer's disease, sleep disorders, sleep fragmentation, slow-wave sleep, wakefulness, nocturnal awakenings, diagnostic value, discriminant analysis
- MeSH terms
- Aged, Alzheimer Disease, Female, Humans, Male, Psychiatric Status Rating Scales, Sleep Wake Disorders, Sleep Stages
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