An Integrated Sleep and Reward Processing Model of Major Depressive Disorder

Boland, Elaine M.; Goldschmied, Jennifer; Wakschal, Emily S.; Nusslock, Robin; Gehrman, Philip

doi:10.1016/j.beth.2019.12.005

Cited by 17 publications

(18 citation statements)

References 89 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A twin study by Watson, et al (2014) found that the genetic contribution to depressive symptoms was significantly higher for both short (<7 hours per night) and long (³ 9 hours per night) sleep durations compared to the average (7-8.9 hours per night)-a trend that we also observed (Supplementary Figure 46). Additionally, there is evidence for a complex bidirectional relationship between sleep and depression involving variables/ biomarkers such as circadian rhythms (Kronfeld-Schor & Einat, 2012;Khan, et al, 2018), stress (Leggett, Burgard, & Zivin, 2016;Palagini, et al, 2019), melatonin (Rahman, Marcu, Kayumov, & Shapiro, 2010), serotonin (van Dalfsen & Markus, 2019), dopamine (Finan & Smith, 2013;Boland, Goldschmied, Wakschal, Nusslock, & Gehrman, 2020), and their respective genes. Future work investigating gene-sleep interactions for depression could utilise these previously highlighted genes within genomic partitioning analysis.…”

Section: Discussionmentioning

confidence: 99%

Exploring polygenic-environment and residual-environment interactions for depressive symptoms within the UK Biobank

Gillett

Jermy

Lee

et al. 2021

Preprint

View full text Add to dashboard Cite

Substantial advances have been made in identifying genetic contributions to depression, but little is known about how the effect of genes can be modulated by the environment, creating a gene-environment interaction. Using multivariate reaction norm models (MRNMs) within the UK Biobank (N=61294-91644), we investigate whether the polygenic and residual variation of depressive symptoms are modulated by 25 a-priori selected covariate traits: 12 environmental variables, 5 biomarkers and polygenic risk scores for 8 mental health disorders. MRNMs provide unbiased polygenic-covariate interaction estimates for a quantitative trait by controlling for outcome-covariate correlations and residual-covariate interactions. Of the 25 selected covariates, 11 significantly modulate depressive symptoms, but no single interaction explains a large proportion of phenotypic variation. Results are dominated by residual-covariate interactions, suggesting that covariate traits (including neuroticism, childhood trauma and BMI) typically interact with unmodelled variables, rather than a genome-wide polygenic score, to influence depressive symptoms. Only average sleep duration has a polygenic-covariate interaction explaining a demonstrably non-zero proportion of the variability in depressive symptoms. This effect is small, accounting for only 1.22% (95% CI [0.54,1.89]) of variation. The presence of an interaction highlights a specific focus for intervention, but the negative results here indicate a limited contribution from polygenic-environment interactions.

show abstract

Section: Discussionmentioning

confidence: 99%

Exploring polygenic-environment and residual-environment interactions for depressive symptoms within the UK Biobank

Gillett

Jermy

Lee

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Sleep extension and/or circadian phase advance may improve affect by altering reward processing (Boland, Goldschmied, Wakschal, Nusslock, & Gehrman, 2020; Parekh & McClung, 2016), emotion regulation (Palmer & Alfano, 2017), and stress reactivity (van Dalfsen & Markus, 2018). Some of these potential mechanisms will be evaluated using additional data collected in this pilot study (e.g., reward‐related brain function, cardiovascular stress response).…”

Section: Discussionmentioning

confidence: 99%

Feasibility, acceptability and affective consequences of at‐home sleep extension in young women with depressive symptoms: A pilot study

Casement

Livingston

Allen

et al. 2020

Journal of Sleep Research

View full text Add to dashboard Cite

Insufficient sleep is common in young adults and has meaningful consequences for daytime functioning, including increased sleepiness, affective disruption and depressive symptoms. This study provides a preliminary evaluation of the feasibility, acceptability and affective consequences of extended sleep opportunity in young women with insufficient sleep and depressive symptoms. Participants were 32 women, 18-22 years of age, who regularly obtained less than 8-hr sleep/night and had daytime sleepiness and depressive symptoms at or above population averages. Participants were asked to maintain a sleep schedule of their typical duration for 7 days and were then randomly assigned to either extend sleep opportunity (ESO) by 90 min per night or maintain typical sleep opportunity (TSO), for the next 7 days. Sleep characteristics and daytime sleepiness were measured using continuous actigraphy and daily sleep diary, and affect, stress and depressive symptoms were assessed with daily and weekly questionnaires. Extended sleep opportunity increased sleep duration by over 1 hr, improved morning sleepiness and positive affect, and diminished anhedonia and depressive symptoms in study completers (n = 11 ESO, 11 TSO). However, 31.3% of participants (n = 10) were withdrawn from the study due to difficulty maintaining the sleep schedule. These results provide initial evidence that sleep extension is beneficial for young women who usually have inadequate sleep and mood disruption and can maintain a consistent sleep schedule. If extending sleep opportunity improves sleep, daytime sleepiness and affect in young adults who typically have insufficient sleep, it could broaden the range of interventions for sleep and mental wellness.

show abstract

mentioning

confidence: 99%

“…Sleep disturbances and depression are increasing worldwide (Stickley et al, 2019). Disturbed sleep is frequently connected to poor depression treatment outcomes (Franzen & Buysse, 2008), and recent theoretical models have suggested that reward processing impairments may mediate this relationship (Boland et al, 2020; Palagini et al, 2019). Depression is often associated with behavioral preference for smaller rewards that can be obtained more immediately (i.e., temporal discounting; Pulcu et al, 2014) and with less effort (i.e., effort discounting), the latter evidenced by both psychophysiological (e.g., cardiovascular response; Brinkmann et al, 2009) and behavioral measures of effort expenditure (Treadway et al, 2012).…”

mentioning

confidence: 99%

“…Unpacking these complex relationships is particularly important in the study of depression, a disorder marked by pervasive sleep impairments and reward dysfunction (Boland et al, 2020), which few studies have attempted. One longitudinal study found that blunted reward responsivity predicted greater depression symptoms at 12 months at average-to-high, but not low, levels of baseline self-reported sleep disturbance (Burani et al, 2021).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Poor sleep quality is significantly associated with effort but not temporal discounting of monetary rewards.

Boland¹,

Kelley²,

Chat³

et al. 2022

Motivation Science

Self Cite

View full text Add to dashboard Cite

Experimental sleep deprivation has been shown to differentially affect behavioral indices of effort and temporal discounting, 2 domains of reward processing often observed to be impaired in depression. Experimental sleep deprivation is phenomenologically different from sleep deprivation in everyday life (e.g., poor quality sleep or habitual short sleep duration). Thus, experimental findings may not explain how sleep disturbance impacts reward processing in everyday life. The present study examined associations of past-month self-reported typical sleep quality and duration among 325 young adults who completed behavioral tasks of effort and temporal discounting. Analyses accounted for the potential influence of self-reported mood symptoms and reward sensitivity. Results showed that poorer sleep quality, but not shorter sleep duration, was associated with less preference for high effort/high reward choices on the Effort Expenditure for Reward task (EEfRT) and was significant when accounting for depression and reward sensitivity, neither of which significantly predicted effort. Neither poorer sleep quality nor shorter sleep duration was significantly associated with a preference for smaller, more immediate reward on a delay discounting task. Findings suggest sleep quality, irrespective of total hours of sleep, may independently affect reward-relevant effort, which may have implications for the study and treatment of depression.

show abstract

An Integrated Sleep and Reward Processing Model of Major Depressive Disorder

Cited by 17 publications

References 89 publications

Exploring polygenic-environment and residual-environment interactions for depressive symptoms within the UK Biobank

Exploring polygenic-environment and residual-environment interactions for depressive symptoms within the UK Biobank

Feasibility, acceptability and affective consequences of at‐home sleep extension in young women with depressive symptoms: A pilot study

Poor sleep quality is significantly associated with effort but not temporal discounting of monetary rewards.

Contact Info

Product

Resources

About