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000154328 041__ $$aEnglish
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000154328 1001_ $$0P:(DE-HGF)0$$aPalleis, Carla$$b0
000154328 245__ $$aIn Vivo Assessment of Neuroinflammation in 4‐Repeat Tauopathies
000154328 260__ $$aNew York, NY$$bWiley$$c2021
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000154328 520__ $$aSleep complaints are the most prevalent syndromes in older adults, particularly in women. Moreover, they are frequently accompanied with a high level of depression and stress. Although several diffusion tensor imaging (DTI) studies reported associations between sleep quality and brain white matter (WM) microstructure, it is still unclear whether gender impacts the effect of sleep quality on structural alterations, and whether these alterations mediate the effects of sleep quality on emotional regulation. We included 389 older participants (176 females, age = 65.5 ± 5.5 years) from the 1000BRAINS project. Neuropsychological examinations covered the assessments of sleep quality, depressive symptomatology, current stress level, visual working memory, and selective attention ability. Based on the DTI dataset, the diffusion parameter maps, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD), were calculated and normalized to a population-specific FA template. According to the global Pittsburgh Sleep Quality Index (PSQI), 119 poor sleepers (PSQI: 10∼17) and 120 good sleepers (PSQI: 3∼6) were identified. We conducted a two by two (good sleepers/poor sleepers) × (males/females) analysis of variance by using tract-based spatial statistics (TBSS) and JHU-ICBM WM atlas-based comparisons. Moreover, we performed a voxel-wise correlation analysis of brain WM microstructure with the neuropsychological tests. Finally, we applied a mediation analysis to explore if the brain WM microstructure mediates the relationship between sleep quality and emotional regulation. No significant differences in brain WM microstructure were detected on the main effect of sleep quality. However, the MD, AD, and RD of pontine crossing tract and bilateral inferior cerebellar peduncle were significant lower in the males than females. Voxel-wise correlation analysis revealed that FA and RD values in the corpus callosum were positively related with depressive symptomatology and negatively related with current stress levels. Additionally, we found a significantly positive association between higher FA values in visual-related WM tracts and better outcomes in a visual pattern recognition test. Furthermore, a mediation analysis suggested that diffusion metrics within the corpus callosum partially mediated the associations between poor sleep quality/high stress and depressive symptomatology.
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000154328 536__ $$0G:(DE-HGF)POF4-352$$a352 - Disease Mechanisms (POF4-352)$$cPOF4-352$$fPOF IV$$x2
000154328 536__ $$0G:(DE-HGF)POF4-354$$a354 - Disease Prevention and Healthy Aging (POF4-354)$$cPOF4-354$$fPOF IV$$x3
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000154328 588__ $$aDataset connected to CrossRef, Journals: pub.dzne.de
000154328 650_2 $$2MeSH$$aAged
000154328 650_2 $$2MeSH$$aAlzheimer Disease
000154328 650_2 $$2MeSH$$aAnimals
000154328 650_2 $$2MeSH$$aBrain: diagnostic imaging
000154328 650_2 $$2MeSH$$aBrain: metabolism
000154328 650_2 $$2MeSH$$aCross-Sectional Studies
000154328 650_2 $$2MeSH$$aFemale
000154328 650_2 $$2MeSH$$aHumans
000154328 650_2 $$2MeSH$$aMale
000154328 650_2 $$2MeSH$$aMice
000154328 650_2 $$2MeSH$$aMiddle Aged
000154328 650_2 $$2MeSH$$aSupranuclear Palsy, Progressive: diagnostic imaging
000154328 650_2 $$2MeSH$$aSupranuclear Palsy, Progressive: genetics
000154328 650_2 $$2MeSH$$aTauopathies: diagnostic imaging
000154328 650_2 $$2MeSH$$aTauopathies: genetics
000154328 650_2 $$2MeSH$$atau Proteins: genetics
000154328 650_2 $$2MeSH$$atau Proteins: metabolism
000154328 7001_ $$aSauerbeck, Julia$$b1
000154328 7001_ $$aBeyer, Leonie$$b2
000154328 7001_ $$aHarris, Stefanie$$b3
000154328 7001_ $$aSchmitt, Julia$$b4
000154328 7001_ $$0P:(DE-2719)2812759$$aMorenas-Rodriguez, Estrella$$b5
000154328 7001_ $$aFinze, Anika$$b6
000154328 7001_ $$aNitschmann, Alexander$$b7
000154328 7001_ $$aRuch-Rubinstein, Francois$$b8
000154328 7001_ $$aEckenweber, Florian$$b9
000154328 7001_ $$aBiechele, Gloria$$b10
000154328 7001_ $$0P:(DE-2719)2811522$$aBlume, Tanja$$b11
000154328 7001_ $$0P:(DE-2719)2811433$$aShi, Yuan$$b12
000154328 7001_ $$0P:(DE-HGF)0$$aWeidinger, Endy$$b13
000154328 7001_ $$0P:(DE-2719)9001508$$aPrix, Catharina$$b14$$udzne
000154328 7001_ $$aBötzel, Kai$$b15
000154328 7001_ $$0P:(DE-HGF)0$$aDanek, Adrian$$b16
000154328 7001_ $$aRauchmann, Boris-Stephan$$b17
000154328 7001_ $$aStöcklein, Sophia$$b18
000154328 7001_ $$aLindner, Simon$$b19
000154328 7001_ $$aUnterrainer, Marcus$$b20
000154328 7001_ $$aAlbert, Nathalie L.$$b21
000154328 7001_ $$aWetzel, Christian$$b22
000154328 7001_ $$aRupprecht, Rainer$$b23
000154328 7001_ $$0P:(DE-HGF)0$$aRominger, Axel$$b24
000154328 7001_ $$aBartenstein, Peter$$b25
000154328 7001_ $$0P:(DE-2719)2810441$$aHerms, Jochen$$b26
000154328 7001_ $$0P:(DE-2719)2812234$$aPerneczky, Robert$$b27
000154328 7001_ $$0P:(DE-2719)2202037$$aHaass, Christian$$b28
000154328 7001_ $$0P:(DE-2719)2811659$$aLevin, Johannes$$b29
000154328 7001_ $$0P:(DE-2719)2811373$$aHöglinger, Günter$$b30
000154328 7001_ $$0P:(DE-HGF)0$$aBrendel, Matthias$$b31$$eCorresponding author
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000154328 8564_ $$uhttps://movementdisorders.onlinelibrary.wiley.com/doi/full/10.1002/mds.28395
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