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Self‐reported quality of sleep is related to frontoparietal network connectivity in mild cognitive impairment
Author(s) -
Pini Lorenzo,
Wennberg Alexandra MV,
Mitolo Micaela,
Meneghello Francesca,
Burgio Francesca,
Semenza Carlo,
Venneri Annalena,
Mantini Dante,
Vallesi Antonino
Publication year - 2020
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1002/alz.041835
Subject(s) - default mode network , cognition , audiology , psychology , functional magnetic resonance imaging , statistical parametric mapping , resting state fmri , sleep (system call) , magnetic resonance imaging , medicine , neuroscience , radiology , computer science , operating system
Background Sleep has been identified as a modifiable factor involved in both the development and progression of Alzheimer’s disease (AD). Previous findings have suggested that poor sleep may be associated with increased risk of AD. Conversely, higher quality of sleep may slow progression of pathophysiological mechanisms in mild cognitive impairment (MCI) through functional connectivity reorganization of neural networks underlying higher cognitive functions. Method In clinic, 38 MCI patients and 38 age‐matched controls completed structural magnetic resonance imaging (MRI), resting‐state functional MRI (rs‐fMRI), and a cognitive test battery, covering memory, executive functions, and language. The Sleep Continuity in Alzheimer’s Disease Scale (SCADS) was used to assess sleep quality. Patients were stratified into “good” (n=20) and “poor” (n=18) sleepers, using the median SCADS score as a cut‐point. Default mode (DMN) and left and right frontoparietal (FPN) networks were reconstructed through an independent component analysis approach. Differences in network connectivity across MCI groups were investigated with non‐parametric inference using FSL randomize (n=5000 permutations), corrected at a threshold‐free‐cluster enhancement level of pFWE < 0.025. Grey matter and sex were inserted as covariates in the analysis. The same model was implemented to investigate associations between connectivity and cognition in MCI. Finally, between‐network connectivity was assessed through partial correlation with sex as covariate. Result MCI good sleepers showed increased FPN connectivity compared to MCI poor sleepers. Increased FPN connectivity was positively associated with language performance in the former group. Finally, we found a positive coupling connectivity between DMN and FPN and between left and right FPN in MCI good sleepers, while this pattern was disrupted in MCI patients with lower quality of sleep. Conclusion These findings suggest a relationship between sleep quality and FPN connectivity in MCI, highlighting possible sleep‐induced compensatory mechanisms. Future studies in larger samples using longitudinal methods and objective measures of sleep will be necessary to confirm this finding. However, these results further support the concept that better sleep may be protective on the pathway to AD.