Quality of sleep predicts increased frontoparietal network connectivity in patients with mild cognitive impairment

High quality of sleep may mitigate the impact of pathophysiological mechanisms in mild cognitive impairment (MCI) through functional connectivity reorganization of neural networks underlying higher cognitive functions. Thirty-eight patients with MCI stratified into high and low quality of sleep in accordance with a self-reported questionnaire for sleep habits, and 38 controls underwent resting-state functional magnetic resonance imaging. Independent component analysis was used to reconstruct the default mode network and frontoparietal network (FPN). High quality of sleep was associated with increased FPN connectivity among patients with MCI. Moreover, a positive coupling of connectivity between networks was found in MCI reporting high quality of sleep, congruently with the pattern observed in controls, whereas this coupling was disrupted in MCI with low quality of sleep. An association between FPN connectivity and language scores was observed in MCI. These findings suggest a relationship between sleep quality and FPN connectivity in MCI that may underlie compensatory mechanisms to overcome advancing neurodegeneration.

Publication year:2020

BOF-keylabel:yes

IOF-keylabel:yes

BOF-publication weight:6

CSS-citation score:1

Authors:International

Authors from:Higher Education

Accessibility:Closed