Objective measurement of sleep in mild cognitive impairment: A systematic review and meta-analysis

Angela L D'Rozario; Julia L Chapman; Craig L Phillips; Jake R Palmer; Camilla M Hoyos; Loren Mowszowski; Shantel L Duffy; Nathaniel S Marshall; Ruth Benca; Bryce Mander; Ronald R Grunstein; Sharon L Naismith

doi:10.1016/j.smrv.2020.101308

Objective measurement of sleep in mild cognitive impairment: A systematic review and meta-analysis

Sleep Med Rev. 2020 Aug:52:101308. doi: 10.1016/j.smrv.2020.101308. Epub 2020 Mar 13.

Authors

Affiliations

¹ School of Psychology, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia. Electronic address: angela.drozario@sydney.edu.au.
² Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia.
³ Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
⁴ Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; School of Psychology, Macquarie University, Sydney, New South Wales, Australia.
⁵ School of Psychology, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia.
⁶ School of Psychology, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
⁷ Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia; Discipline of Exercise and Sport Science, Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia.
⁸ Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.
⁹ Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia; Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.

PMID: 32302775
DOI: 10.1016/j.smrv.2020.101308

Abstract

Older adults with mild cognitive impairment (MCI) are at-risk of developing dementia, particularly Alzheimer's disease. While some research suggests that alterations in sleep architecture may mediate cognitive decline, the nature and magnitude of changes to sleep macro- (sleep stages) and micro-architecture (electroencephalography (EEG) oscillations) in MCI is not yet clear. This study aimed to systematically review and meta-analyse case-control studies objectively measuring sleep in MCI. A systematic search was conducted using PubMed, Scopus, Web of Science, Embase and Psycinfo databases and after review, a total of 10 studies met inclusion criteria. Of these, all reported sleep macro-architecture and four reported micro-architecture outcomes. A combined total of 430 participants (209 with and 221 without MCI) underwent objective sleep assessments in the included full text articles. Findings show that compared to healthy controls, those with MCI have pronounced changes in sleep macro-architecture with greater wake after sleep onset, reduced total sleep time, lower sleep efficiency, longer sleep onset latency, longer rapid eye movement sleep (REM) latency, reduced REM sleep, greater N1 sleep, and worse severity of hypoxemia. Pooling of sleep micro-architecture EEG measures was not possible due to limited studies, however reduced spindles in non-REM sleep and greater EEG slowing in REM sleep were reported.

Keywords: Cognitive function; Dementia; EEG power; Electroencephalography; Polysomnography; Quantitative EEG analysis.

Publication types

Meta-Analysis
Research Support, Non-U.S. Gov't
Systematic Review

MeSH terms

Case-Control Studies
Cognitive Dysfunction / complications*
Electroencephalography*
Humans
Polysomnography*
Sleep Wake Disorders* / diagnosis
Sleep Wake Disorders* / etiology
Sleep, REM / physiology