White Matter Microstructure Underlies the Effects of Sleep Quality and Life Stress on Depression Symptomatology in Older Adults

Li, Changhong; Schreiber, Jan; Bittner, Nóra; Li, Shumei; Huang, Ruiwang; Moebus, Susanne; Bauer, Andreas; Caspers, Svenja; Elmenhorst, David

doi:10.3389/fnagi.2020.578037

Cited by 21 publications

(25 citation statements)

References 48 publications

(59 reference statements)

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“… 56 , 57 Some studies have proposed that the corpus callosum white matter integrity might be sensitive to poor sleep quality. 58 , 59 The superior longitudinal fasciculus is constituted by fibers that connect the frontal lobe to the parietal, temporal, and occipital lobes 60 and is involved in the relation between sleep and cognitive performance. 61 , 62 Abnormalities in white matter integrity of this tract have been identified in patients with primary insomnia 63 , 64 and associated with disrupted sleep patterns.…”

Section: Discussionmentioning

confidence: 99%

Nighttime Sleep Characteristics and White Matter Integrity in Young Adults

Reyes¹,

Rimkus²,

Lozoff³

et al. 2022

NSS

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Purpose Sleep is essential for life and plays a key role for optimal physiology, brain functioning, and health. Evidence suggests a relation between sleep and cerebral white matter integrity. Human studies report that sleep duration shows a U-shaped association with brain functioning. We hypothesized that participants with longer or shorter sleep time in the nighttime period show altered microstructural white matter integrity. Participants and Methods Seventy-three young adult participants were evaluated. Sleep-wake cycle parameters were assessed objectively using actigraphy. Diffusion tensor imaging studies were performed to assess white matter integrity using fractional anisotropy and mean, axial, and radial diffusivities. Relations between white matter microstructure indexes and sleep parameters were investigated through tract-based spatial statistics. Participants were grouped according to their nocturnal total sleep time: 27 in the Reference sleep group (6.5–8.0 h), 23 in the Short sleep group (<6.5 h) and 23 in the Long sleep group (>8.0 h). Results Compared with the Reference sleep group, participants in the Long sleep group showed lower fractional anisotropy (p < 0.05) and higher radial diffusivity (p < 0.05) values in white matter tracts linked to sleep regulation (corona radiata, body of the corpus callosum, superior longitudinal fasciculus, and anterior thalamic radiation). Conclusion This pattern of reduced fractional anisotropy and increased radial diffusivity in the Long sleep group indicates an association between sleep duration and lower integrity of myelin sheaths. Because myelin is continuously remodeled in the brain, nighttime sleep characteristics appear to be a key player for its quality and maintenance.

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Section: Discussionmentioning

confidence: 99%

Nighttime Sleep Characteristics and White Matter Integrity in Young Adults

Reyes¹,

Rimkus²,

Lozoff³

et al. 2022

NSS

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“…In addition, studies have also investigated associations between sleep and brain white matter (WM) integrity, which was studied using diffusion‐weighted magnetic resonance imaging (DW‐MRI) in most of these works utilizing the diffusion tensor imaging (DTI) model. These studies evaluated DTI‐derived metrics such as mean diffusivity (MD), fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD), 24 in WM regions or WM tracts to find relationships with sleep scores 4,25–32 . In addition to regional analyses based on defining WM regions using DTI WM atlas, tract‐based analyses were also performed using tract‐based spatial statistics (TBSS) approach, 33 which is based on skeletonized tracts and not on entire fiber bundles.…”

Section: Introductionmentioning

confidence: 99%

“…These studies evaluated DTI-derived metrics such as mean diffusivity (MD), fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD), 24 in WM regions or WM tracts to find relationships with sleep scores. 4,[25][26][27][28][29][30][31][32] In addition to regional analyses based on defining WM regions using DTI WM atlas, tract-based analyses were also performed using tract-based spatial statistics (TBSS) approach, 33 which is based on skeletonized tracts and not on entire fiber bundles. For instance, in a TBSS study, reduced sleep time and poor subjective sleep quality were shown to be associated with WM microstructural changes, specifically, FA in the left orbitofrontal region and the right superior corona radiata, and MD in right orbitofrontal WM and the right inferior longitudinal fasciculus.…”

Section: Introductionmentioning

confidence: 99%

Neural correlates of sleep quality in children: Sex‐specific associations shown by brain diffusion tractography

Raja

Badger

et al. 2022

Journal of Neuroimaging

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Background and Purpose: Sleep quality is important for healthy growth and development of children. We aimed to identify associations between sleep disturbances in healthy children without clinical diagnosis of sleep disorders and brain white matter (WM) microstructure using an advanced diffusion-weighted magnetic resonance imaging (DW-MRI) based tractography analysis, and to explore whether there are sex differences in these associations. Methods: Brain DW-MRI data were collected from sixty-two 8-year-old children (28 boys, 34 girls) whose parents also completed Children's Sleep Habits Questionnaire (CSHQ). Track-weighted imaging (TWI) measures were computed from the DW-MRI data for 37 WM tracts in each subject. Sex-specific partial correlation analyses were performed to evaluate correlations between TWI measures and a set of sleep disturbance scores derived from the CSHQ. Results: Significant correlations (P < .05, FDR-corrected; r: .48-.67) were identified in 13 WM tracts between TWI and sleep disturbance scores. Sexually dimorphic differences in correlations between sleep disturbance scores and WM microstructure measurements were observed. Specifically, in boys, daytime sleepiness positively correlated with trackweighted mean or radial diffusivity in 10 WM tracts (bilateral arcuate fasciculus, left cingulum, right middle longitudinal fasciculus, and three bilateral segments of superior longitudinal fasciculus). In girls, total CSHQ score, night walking, or sleep onset delay negatively correlated with track-weighted fractional anisotropy or axial diffusivity in 4 WM tracts (bilateral inferior longitudinal fasciculus and uncinate fasciculus). Conclusions: The findings suggest that sleep disturbances without clinical diagnosis of sleep disorders are associated with lower WM microstructural integrity in children. Additionally, the associations possess unique patterns in boys and girls.

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“…The volume of the white matter was currently mainly determined by voxel-based morphometry, which shows morphological changes of the white matter by calculating the volume and density of the white matter (Liu et al, 2016). Although there was some evidence to support the relationship between brain white matter and sleep (Kocevska et al, 2019;Li et al, 2020;Ramos et al, 2014;Sexton et al, 2017), whether the change in white matter volume could predict the sleep quality of college students remain less unclear.…”

Section: Introductionmentioning

confidence: 99%

“…Until now, most studies focused on special groups (i.e., community-dwelling older adults, depression symptomatology, primary insomnia, Parkinson's Disease, and Mild traumatic brain injuries), and the relationship between sleep and brain white matter microstructure by utilizing diffusion tensor imaging (DTI) (Altendahl et al, 2020;Li et al, 2020;Raikes et al, 2018;Wei et al, 2019). For example, patients with insomnia tended to show altered diffusion-tensor based network characteristics between the right frontal, temporal, and subcortical areas (including the hippocampus, thalamus, and precuneus) (Wei et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Predicting sleep quality from brain white matter volume: A voxel-based morphometry study

Bai

Zhang

Liu

et al. 2021

Preprint

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Most previous studies have explored the relationship between gray matter volume and sleep quality, but little is known about the relationship between white matter volume and sleep quality. Data were collected using the Pittsburgh Sleep Quality Index and voxel-based morphometry among 352 healthy college students. Results showed that the global PSQI score was negatively associated with the white matter volume, including in the right middle occipital gyrus, the left superior temporal gyrus, the right the precentral gyrus, the left supramarginal gyrus, the left middle frontal gyrus, the left precunes, and the right superior frontal gyrus. Results also indicated that the white matter volume in specific regions negatively predicted the factor of PSQI. These specific brain regions may be replicated in brain areas related to sleep quality. In summary, we suggested that an investigation of white matter structural alterations in the specific regions might be beneficial to tackle underlying neurological mechanisms of sleep quality.

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White Matter Microstructure Underlies the Effects of Sleep Quality and Life Stress on Depression Symptomatology in Older Adults

Cited by 21 publications

References 48 publications

Nighttime Sleep Characteristics and White Matter Integrity in Young Adults

Nighttime Sleep Characteristics and White Matter Integrity in Young Adults

Neural correlates of sleep quality in children: Sex‐specific associations shown by brain diffusion tractography

Predicting sleep quality from brain white matter volume: A voxel-based morphometry study

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