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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 a...
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Published in: | Neurobiology of aging 2020-11, Vol.95, p.205-213 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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.
•Sleep is associated with frontoparietal network in mild cognitive impairment.•Brain network functional coupling and sleep quality are related.•Sleep might underlie compensatory mechanisms through frontoparietal connectivity. |
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ISSN: | 0197-4580 1558-1497 |
DOI: | 10.1016/j.neurobiolaging.2020.07.026 |