Perivascular space diffusivity and brain microstructural measures are associated with circadian time and sleep quality.

The glymphatic system is centred around brain cerebrospinal fluid flow and is enhanced during sleep, and the synaptic homeostasis hypothesis proposes that sleep acts on brain microstructure by selective synaptic downscaling. While so far primarily studied in animals, we here examine in humans if brain diffusivity and microstructure is related to time of day, sleep quality and cognitive performance. We use diffusion weighted images from 916 young healthy individuals, aged between 22 and 37 years, collected as part of the Human Connectome Project to assess diffusion tensor image analysis along the perivascular space index, white matter fractional anisotropy, intra-neurite volume fraction and extra-neurite mean diffusivity. Next, we examine if these measures are associated with circadian time of acquisition, the Pittsburgh Sleep Quality Index (high scores correspond to low sleep quality) and age-adjusted cognitive function total composite score. Consistent with expectations, we find that diffusion tensor image analysis along the perivascular space index and orbitofrontal grey matter extra-neurite mean diffusivity are negatively and white matter fractional anisotropy positively correlated with circadian time. Further, we find that grey matter intra-neurite volume fraction correlates positively with Pittsburgh Sleep Quality Index, and that this correlation is driven by sleep duration. Finally, we find positive correlations between grey matter intra-neurite volume fraction and cognitive function total composite score, as well as negative interaction effects between cognitive function total composite score and Pittsburgh Sleep Quality Index on grey matter intra-neurite volume fraction. Our findings propose that perivascular flow is under circadian control and that sleep downregulates the intra-neurite volume in healthy adults with positive impact on cognitive function.

Effect of daridorexant on sleep architecture in patients with chronic insomnia disorder - A pooled post hoc analysis of two randomized Phase 3 clinical studies.

STUDY OBJECTIVES: Post-hoc analysis to evaluate the effect of daridorexant on sleep architecture in people with insomnia, focusing on features associated with hyperarousal. METHODS: We studied sleep architecture in adults with chronic insomnia disorder from two randomized Phase 3 clinical studies (Clinicaltrials.gov: NCT03545191 and NCT03575104) investigating 3 months of daridorexant treatment (placebo, daridorexant 25 mg, daridorexant 50 mg). We analyzed sleep-wake transition probabilities, EEG spectra and sleep spindle properties including density, dispersion, and slow oscillation phase coupling. The Wake EEG Similarity Index (WESI) was determined using a machine learning algorithm analyzing the spectral profile of the EEG. RESULTS: At Month 3, daridorexant 50 mg decreased Wake-to-Wake transition probabilities (P<0.05) and increased the probability of transitions from Wake-to-N1 (P<0.05), N2 (P<0.05), and REM sleep (P<0.05), as well as from N1-to-N2 (P<0.05) compared to baseline and placebo. Daridorexant 50 mg decreased relative beta power during Wake (P=0.011) and N1 (P<0.001) compared to baseline and placebo. During Wake, relative alpha power decreased (P<0.001) and relative delta power increased (P<0.001) compared to placebo. Daridorexant did not alter EEG spectra bands in N2, N3, and REM stages or in sleep spindle activity. Daridorexant decreased the WESI score during Wake compared to baseline (P=0.004). Effects with 50 mg were consistent between Month 1 and Month 3 and less pronounced with 25 mg. CONCLUSION: Daridorexant reduced EEG features associated with hyperarousal as indicated by reduced Wake-to-Wake transition probabilities and enhanced spectral features associated with drowsiness and sleep during Wake and N1.

Plasma and cerebrospinal fluid proteomic signatures of acutely sleep-deprived humans: an exploratory study.

Study Objectives: Acute sleep deprivation affects both central and peripheral biological processes. Prior research has mainly focused on specific proteins or biological pathways that are dysregulated in the setting of sustained wakefulness. This exploratory study aimed to provide a comprehensive view of the biological processes and proteins impacted by acute sleep deprivation in both plasma and cerebrospinal fluid (CSF). Methods: We collected plasma and CSF from human participants during one night of sleep deprivation and controlled normal sleep conditions. One thousand and three hundred proteins were measured at hour 0 and hour 24 using a high-scale aptamer-based proteomics platform (SOMAscan) and a systematic biological database tool (Metascape) was used to reveal altered biological pathways. Results: Acute sleep deprivation decreased the number of upregulated and downregulated biological pathways and proteins in plasma but increased upregulated and downregulated biological pathways and proteins in CSF. Predominantly affected proteins and pathways were associated with immune response, inflammation, phosphorylation, membrane signaling, cell-cell adhesion, and extracellular matrix organization. Conclusions: The identified modifications across biofluids add to evidence that acute sleep deprivation has important impacts on biological pathways and proteins that can negatively affect human health. As a hypothesis-driving study, these findings may help with the exploration of novel mechanisms that mediate sleep loss and associated conditions, drive the discovery of new sleep loss biomarkers, and ultimately aid in the identification of new targets for intervention to human diseases.

Association of sleep behaviors with white matter hyperintensities and microstructural injury: a cross-sectional and longitudinal analysis of 26 354 participants.

STUDY OBJECTIVES: This study assessed the associations between sleep behaviors with white matter macro and microstructure. METHODS: A total of 26 354 participants in the UK Biobank (mean [standard deviation], age, 63.7 [7.5] years, 53.4% female) were included in this study. A healthy sleep score integrated sleep behaviors including chronotype, insomnia, sleep duration, daytime sleepiness, and snoring. Linear and nonlinear relationships were calculated between individual and aggregate sleep behaviors with white matter hyperintensities (WMH) and microstructural injury. RESULTS: A "U-shaped" relationship was revealed between sleep duration and WMH, and the lowest WMH was at 7.7 h per night. Four unhealthy sleep behaviors including late chronotype, sleep duration (>8 h or <7 h), excessive daytime sleepiness, and snoring significantly increased WMH impacts. Lower healthy sleep score was linked with increased WMH impacts (ß = 0.164, 95% CI = 0.110-0.218), and worse microstructure in association and thalamic white matter tracts. Increased body mass index, glycated hemoglobin A1c, and systolic blood pressure were potential mediators of the relationships between unhealthy sleep behaviors and increased WMH. However, higher BMI and low-density lipoprotein were revealed as protective mediators between snoring and improved white matter integrity including lower MD and higher ICVF. CONCLUSIONS: Unhealthy sleep behaviors were associated with increased WMH impacts and worse white matter microstructure in specific tracts across middle and older age. These findings provide the potential to improve white matter integrity by reversing unhealthy sleep behaviors.

Rest-activity rhythms and white matter microstructure across the lifespan.

STUDY OBJECTIVES: The purpose of this study was to examine how rest-activity (RA) rhythm stability may be associated with white matter microstructure across the lifespan in healthy adults free of significant cardiovascular risk. METHODS: We analyzed multi-shell diffusion tensor images from 103 healthy young and older adults using tract-based spatial statistics (TBSS) to examine relationships between white matter microstructure and RA rhythm stability. RA measures were computed using both cosinor and non-parametric methods derived from 7 days of actigraphy data. Fractional anisotropy (FA) and mean diffusivity (MD) were examined in this analysis. Because prior studies have suggested that the corpus callosum (CC) is sensitive to sleep physiology and RA rhythms, we also conducted a focused region of interest analysis on the CC. RESULTS: Greater rest-activity rhythm stability was associated with greater FA across both young and older adults, primarily in the CC and anterior corona radiata. This effect was not moderated by age group. While RA measures were associated with sleep metrics, RA rhythm measures uniquely accounted for the variance in white matter integrity. CONCLUSIONS: This study strengthens existing evidence for a relationship between brain white matter structure and RA rhythm stability in the absence of health risk factors. While there are differences in RA stability between age groups, the relationship with brain white matter was present across both young and older adults. RA rhythms may be a useful biomarker of brain health across both periods of adult development.

Sleep and cognitive function in chronic stroke: a comparative cross-sectional study.

Poor sleep is common following stroke, limits stroke recovery, and can contribute to further cognitive decline post-stroke. However, it is unclear what aspects of sleep are different in older adults with stroke compared with those without, and whether the relationship between sleep and cognitive function differs by stroke history. We investigated whether older adults with stroke experience poorer sleep quality than older adults without stroke, and whether poor sleep quality attenuates cognitive performance among older adults with a history of stroke. Thirty-five age- and sex-matched older adults with stroke (age: 69.86 ± 1.13 years; 51.43% female) and without stroke (age: 69.83 ± 1.12; 51.43% female) were compared with respect to sleep quality using the MotionWatch8 (MW8) and Pittsburgh Sleep Quality Index (PSQI). Cognitive performance was indexed using the Alzheimer's Disease Assessment Scale Plus (ADAS-Cog Plus). Additionally, we examined whether poor sleep quality is associated with poorer cognitive performance among older adults with stroke. Older adults with stroke had longer MW8 measured sleep duration (27.82 ± 12.17 min; p = 0.03) and greater fragmentation (6.44 ± 2.24; p < 0.01), but did not differ in PSQI from their nonstroke peers. There was a significant group x sleep quality interaction for fragmentation (ß = 0.02; p < 0.01) and efficiency (ß = -0.03; p = 0.02) on ADAS-Cog Plus performance, whereby differences in cognitive performance between older adults with and without stroke were accentuated in the presence of poor sleep quality. Older adults with stroke have poorer sleep quality than their nonstroke counterparts, and older adults with stroke and poor sleep quality experience larger deficits in cognitive performance. Clinical Trial Registration: Vitality: Promoting Cognitive Function in Older Adults With Chronic Stroke (Vitality); https://clinicaltrials.gov/ct2/show/NCT01916486; NCT01916486.

Beyond sleepy: structural and functional changes of the default-mode network in idiopathic hypersomnia.

Idiopathic hypersomnia (IH) is characterized by excessive daytime sleepiness but, in contrast to narcolepsy, does not involve cataplexy, sleep-onset REM periods, or any consistent hypocretin-1 deficiency. The pathophysiological mechanisms of IH remain unclear. Because of the involvement of the default-mode network (DMN) in alertness and sleep, our aim was to investigate the structural and functional modifications of the DMN in IH. We conducted multimodal magnetic resonance imaging (MRI) in 12 participants with IH and 15 good sleeper controls (mean age ± SD: 32 ± 9.6 years, range 22-53 years, nine males). Self-reported as well as objective measures of daytime sleepiness were collected. Gray matter volume and cortical thickness were analyzed to investigate brain structural differences between good sleepers and IH. Structural covariance and resting-state functional connectivity were analyzed to investigate changes in the DMN. Participants with IH had greater volume and cortical thickness in the precuneus, a posterior hub of the DMN. Cortical thickness in the left medial prefrontal cortex was positively correlated with thickness of the precuneus, and the strength of this correlation was greater in IH. In contrast, functional connectivity at rest was lower within the anterior DMN (medial prefrontal cortex) in IH, and correlated with self-reported daytime sleepiness. The present results show that IH is associated with structural and functional differences in the DMN, in proportion to the severity of daytime sleepiness, suggesting that a disruption of the DMN contributes to the clinical features of IH. Larger volume and thickness in this network might reflect compensatory changes to lower functional connectivity in IH.

An Objective Short Sleep Insomnia Disorder Subtype Is Associated With Reduced Brain Metabolite Concentrations In Vivo: A Preliminary Magnetic Resonance Spectroscopy Assessment.

Objectives: To evaluate brain metabolites in objective insomnia subtypes defined from polysomnography (PSG): insomnia with short sleep duration (I-SSD) and insomnia with normal sleep duration (I-NSD), relative to good sleeping controls (GSCs). Methods: PSG empirically grouped insomnia patients into I-SSD (n = 12: mean [SD] total sleep time [TST] = 294.7 minutes [30.5]) or I-NSD (n = 19: TST = 394.4 minutes [34.9]). 1H magnetic resonance spectroscopy (MRS) acquired in the left occipital cortex (LOCC), left prefrontal cortex, and anterior cingulate cortex was used to determine levels of creatine, aspartate, glutamate, and glutamine (referenced to water). Glutathione, glycerophosphocholine, lactate, myoinositol, and N-acetylaspartate measurements were also obtained. Sixteen GSCs were included for comparison. Multivariate analysis of variance was used to evaluate differences in creatine, aspartate, glutamate, and glutamine. Results: Aspartate and glutamine concentrations were reduced in the LOCC in I-SSD compared with I-NSD (both p < .05, d = .80-.99). Creatine displayed a nonsignificant mean reduction in I-SSD compared with I-NSD (p = .05, d = .58). Glutamine was reduced in I-SSD compared with controls (p < .05, d = .93). There were no differences in metabolites between all (I-SSD and I-NSD) insomnia patients and controls. In patients with insomnia, LOCC glutamine concentrations were found to be positively correlated with TST (r = .43, p < .05) and negatively correlated with wake-time after sleep onset (r = -.40, p < .05). Conclusions: Results indicate that I-SSD is associated with reduced brain metabolites in the LOCC compared with I-NSD and control concentrations of aspartate, glutamine, and creatine. Clinical Trial Registration: Insomnia MRS imaging sleep study: Australia New Zealand Clinical Trials Registry (ANZCTR): https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12612000050853. Trial Identification Number: 12612000050853.

Two Days' Sleep Debt Causes Mood Decline During Resting State Via Diminished Amygdala-Prefrontal Connectivity.

Study objectives: Sleep debt (SD) has been suggested to evoke emotional instability by diminishing the suppression of the amygdala by the medial prefrontal cortex (MPFC). Here, we investigated how short-term SD affects resting-state functional connectivity between the amygdala and MPFC, self-reported mood, and sleep parameters. Methods: Eighteen healthy adult men aged 29 ± 8.24 years participated in a 2-day sleep control session (SC; time in bed [TIB], 9 hours) and 2-day SD session (TIB, 3 hours). On day 2 of each session, resting-state functional magnetic resonance imaging was performed, followed immediately by measuring self-reported mood on the State-Trait Anxiety Inventory-State subscale (STAI-S). Results: STAI-S score was significantly increased, and functional connectivity between the amygdala and MPFC was significantly decreased in SD compared with SC. Significant correlations were observed between reduced rapid eye movement (REM) sleep and reduced left amygdala-MPFC functional connectivity (FCL_amg-MPFC) and between reduced FCL_amg-MPFC and increased STAI-S score in SD compared with SC. Conclusions: These findings suggest that reduced MPFC functional connectivity of amygdala activity is involved in mood deterioration under SD, and that REM sleep reduction is involved in functional changes in the corresponding brain regions. Having adequate REM sleep may be important for mental health maintenance.