Sleep stability and transitions in patients with idiopathic REM sleep behavior disorder and patients with Parkinson’s disease

Christensen, J. H.; Jennum, Poul; Koch, H; Frandsen, Rune; Zoetmulder, Marielle; Arvastson, Lars; Christensen, Søren Rahn; Sørensen, Helge Bjarup Dissing

doi:10.1016/j.clinph.2015.03.006

Cited by 37 publications

(24 citation statements)

References 45 publications

(29 reference statements)

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“…It has been proposed that REM sleep is important in processing affective information, with models implicating REM sleep in emotional memory resolution and recalibration (Goldstein & Walker, 2014). Interestingly, REM stability and REM-NREM transitions are shown to be disrupted in iRBD (Christensen et al, 2016). This disruption in sleep, and in particular REM sleep stability, may possibly lead to maladaptive emotional responses by the above mechanisms.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and predictors of mood disturbances in idiopathic REM sleep behaviour disorder

Chiu

Martens

Mok

et al. 2020

Journal of Sleep Research

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Section: Discussionmentioning

confidence: 99%

Prevalence and predictors of mood disturbances in idiopathic REM sleep behaviour disorder

Chiu

Martens

Mok

et al. 2020

Journal of Sleep Research

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“…Alternatively, the reduced quality of sleep caused by RBD leads to anxiety. Patients with PD and RBD display instability in the wake–sleep and non-REM—REM sleep transitions [36], that may result in a lower sleep quality. Sleep plays an important role in maintaining adaptive emotional regulation and reactivity [37] and sleep disturbances increase the risk of developing an anxiety disorder [38].…”

Section: Discussionmentioning

confidence: 99%

Predictors of anxiety in early-stage Parkinson's disease – Results from the first two years of a prospective cohort study

Rutten

Ven

Weintraub

et al. 2017

Parkinsonism & Related Disorders

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Aim Anxiety has a negative impact on daily functioning and quality of life in patients with Parkinson’s disease (PD). This study aims at assessing which sociodemographic and clinical characteristics predict the course of anxiety in early PD. Methods The participants of this two-year prospective cohort study were recently diagnosed PD patients not receiving psychiatric medications or dopamine replacement therapy at baseline. Assessments were performed annually after baseline. The primary outcome measure was anxiety, as measured with the State-Trait Anxiety Inventory (STAI). Covariates were age, gender, family history, striatal dopamine transporter binding ratios, and severity of motor and non-motor features of PD at baseline. Data were analyzed using a mixed model analysis. Results Inclusion criteria were met by 306 subjects. An increase in STAI total score was predicted by older age, lower score on the Montreal Cognitive Assessment, and the presence of a probable REM-sleep behavior disorder (RBD) at baseline. A decrease in STAI total score over time was predicted by a higher baseline score on the 15-item Geriatric Depression Scale, compulsive behavior at baseline and a family history of PD. Conclusions More severe baseline anxiety was associated with compulsive behavior and depressive symptoms. These symptoms had a parallel course, showing a decrease over time. An increase in anxiety was predicted by older age, worse cognitive functioning and the presence of RBD. Our findings, when replicated in a sample of PD patients in a more advanced disease stage, could provide starting points for prevention of anxiety in PD patients.

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“…Based on these considerations, we here analyzed the sleep EEG of people with ID and controls without sleep complaints, using a data-driven topic model previously developed and validated in our lab (Koch et al, 2014; Christensen et al, 2016). Originally, topic modeling is a probabilistic approach used to reveal underlying themes or topics in text documents, based on the presence and combination of words (Blei et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Analysis of EEG Reveals Concomitant Superficial Sleep During Deep Sleep in Insomnia Disorder

et al. 2019

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Study Objectives: The subjective suffering of people with Insomnia Disorder (ID) is insufficiently accounted for by traditional sleep classification, which presumes a strict sequential occurrence of global brain states. Recent studies challenged this presumption by showing concurrent sleep- and wake-type neuronal activity. We hypothesized enhanced co-occurrence of diverging EEG vigilance signatures during sleep in ID. Methods: Electroencephalography (EEG) in 55 cases with ID and 64 controls without sleep complaints was subjected to a Latent Dirichlet Allocation topic model describing each 30 s epoch as a mixture of six vigilance states called Topics (T), ranked from N3-related T1 and T2 to wakefulness-related T6. For each stable epoch we determined topic dominance (the probability of the most likely topic), topic co-occurrence (the probability of the remaining topics), and epoch-to-epoch transition probabilities. Results: In stable epochs where the N1-related T4 was dominant, T4 was more dominant in ID than in controls, and patients showed an almost doubled co-occurrence of T4 during epochs where the N3-related T1 was dominant. Furthermore, patients had a higher probability of switching from T1- to T4-dominated epochs, at the cost of switching to N3-related T2-dominated epochs, and a higher probability of switching from N2-related T3- to wakefulness-related T6-dominated epochs. Conclusion: Even during their deepest sleep, the EEG of people with ID express more N1-related vigilance signatures than good sleepers do. People with ID are moreover more likely to switch from deep to light sleep and from N2 sleep to wakefulness. The findings suggest that hyperarousal never rests in ID.

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Sleep stability and transitions in patients with idiopathic REM sleep behavior disorder and patients with Parkinson’s disease

Cited by 37 publications

References 45 publications

Prevalence and predictors of mood disturbances in idiopathic REM sleep behaviour disorder

Prevalence and predictors of mood disturbances in idiopathic REM sleep behaviour disorder

Predictors of anxiety in early-stage Parkinson's disease – Results from the first two years of a prospective cohort study

Data-Driven Analysis of EEG Reveals Concomitant Superficial Sleep During Deep Sleep in Insomnia Disorder

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