4.7 Article

Sleep deficits in mild cognitive impairment are related to increased levels of plasma amyloid-β and cortical thinning

Journal

NEUROIMAGE
Volume 98, Issue -, Pages 395-404

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2014.05.027

Keywords

Sleep disturbances; Plasma amyloid-beta; Cortical thickness; Mild cognitive impairment; Alzheimer's disease

Funding

  1. Spanish Ministry of Economy and Competitiveness [SAF2011-25463, PSI2011-24922]
  2. Regional Ministry of Innovation, Science and Enterprise, Junta de Andalucia [P12-CTS-2327]
  3. CIBERNED [CB06/05/1111]

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Evidence suggests that amyloid-beta (A beta) depositions parallel sleep deficits in Alzheimer's disease (AD). However, it remains unknown whether impaired sleep and changes in plasma A beta levels are related in amnestic mild cognitive impairment (aMCI) subjects, and whether both markers are further associated with cortical thinning in canonical AD regions. To jointly address this issue, we investigated relationships between changes in physiological sleep and plasma A beta concentrations in 21 healthy old (HO) adults and 21 aMCI subjects, and further assessed whether these two factors were associated with cortical loss in each group. aMCI, but not HO subjects, showed significant relationships between disrupted slow-wave sleep (SWS) and increased plasma levels of A beta(42). We also found that shortened rapid-eye movement (REM) sleep in aMCI correlated with thinning of the posterior cingulate, precuneus, and postcentral gyrus; whereas higher levels of A beta(40) and A beta(42) accounted for grey matter (GM) loss of posterior cingulate and entorhinal cortex, respectively. These results support preliminary relationships between A beta burden and altered sleep physiology observed in animal models of AD amyloidosis, and provide precise cortical correlates of these changes in older adults with aMCI. Taken together, these findings open new research avenues on the combined role of sleep, peripheral A beta levels and cortical integrity in tracking the progression from normal aging to early neurodegeneration. (C) 2014 Elsevier Inc. All rights reserved.

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