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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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Sleep habits in mild cognitive impairment

Tamara L Hayes1, Thomas Riley, Nora Mattek

  • 1Departments of *Biomedical Engineering ‡Neurology †Oregon Center for Aging and Technology, Oregon Health & Science University, Portland, OR.

Alzheimer Disease and Associated Disorders
|October 23, 2013
PubMed

Insights

Older adults with amnestic mild cognitive impairment (aMCI) experience less sleep disruption than those with nonamnestic MCI (naMCI) or intact cognition, based on objective sleep measures.

Area of Science:

  • Gerontology
  • Sleep Medicine
  • Neuroscience

Background:

  • Mild cognitive impairment (MCI) affects community-dwelling seniors, with sleep disturbances potentially linked to different MCI subtypes.
  • The precise relationship between sleep disruption and MCI subtypes remains unclear, necessitating objective sleep assessment.

Purpose of the Study:

  • To investigate the association between objective sleep disturbances and subtypes of mild cognitive impairment (MCI) in older adults.
  • To compare sleep patterns between individuals with amnestic MCI (aMCI), nonamnestic MCI (naMCI), and cognitively intact controls.

Main Methods:

  • Collected objective daily sleep disturbance data (e.g., nighttime movement, wake after sleep onset) over six months from 45 seniors.
  • Included 16 participants diagnosed with MCI, categorized into aMCI and naMCI subtypes, alongside cognitively intact controls.
  • Utilized self-report measures for sleep disturbance alongside objective data collection.

Main Results:

  • Objective measures revealed significantly less disturbed sleep in the aMCI group compared to naMCI and cognitively intact groups.
  • Specifically, aMCI participants showed reduced movement in bed, less wake after sleep onset, and fewer nighttime awakenings.
  • The naMCI group exhibited intermediate sleep disturbance levels between aMCI and cognitively intact individuals; no group differences in total sleep time.

Conclusions:

  • Objective sleep patterns differ across MCI subtypes, with aMCI characterized by less disrupted sleep compared to naMCI and intact cognition.
  • The observed sleep differences may reflect underlying neuropathological variations between aMCI and naMCI.
  • Objective sleep monitoring is crucial for understanding the nuanced relationship between sleep and cognitive impairment in seniors.

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