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Study Objectives: Insomnia and depression are common comorbid conditions in youths. Emerging evidence suggests that disrupted reward processing may be implicated in the association between insomnia and the increased risk for depression. Reduced reward positivity (RewP) as measured by event-related potential (ERP) has been linked to depression, but has not been tested in youths with insomnia.
Methods: Twenty-eight participants with insomnia disorder and without any comorbid psychiatric disorders and 29 healthy sleepers aged between 15-24 completed a monetary reward task, the Cued Door task, while electroencephalographic activity was recorded. RewP (reward minus non-reward difference waves) was calculated as the mean amplitudes within 200-300 ms time window at FCz. Two analyses of covariance (ANCOVAs) were conducted with age as a covariate on RewP amplitude and latency, respectively.
Results: Participants with insomnia had a significantly lower RewP amplitude regardless of cue types (Gain, Control, and Loss) than healthy sleepers, F(1, 51) = 4.95, p = 0.031, indicating blunted reward processing. On the behavioral level, healthy sleepers were more prudential (slower reaction time) in decision making towards Loss/Gain cues than their insomnia counterparts. Trial-by-trial behavioral adjustment analyses showed that, compared with healthy sleepers, participants with insomnia were less likely to dynamically change their choices in response to Loss cues.
Conclusions: Dysfunctional reward processing, coupled with inflexibility of behavioral adjustment in decision-making, is associated with insomnia disorder among youth, independent of mood disorders. Future studies with long-term follow-up are needed to further delineate the developmental trajectory of insomnia-related reward dysfunctions in youth.
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http://dx.doi.org/10.1093/sleep/zsab238 | DOI Listing |
J Cardiovasc Magn Reson
September 2025
Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts.
Introduction: Mitral annular disjunction (MAD) is a pathologic fibrous separation of the mitral valve hinge point from the ventricular myocardium. The aims of this study were to describe the range of MAD distance by cardiac magnetic resonance (CMR) in children and young adults with connective tissue disorders (CTDs) versus a healthy control sample, and to assess the MAD distance as a predictor of adverse cardiovascular outcomes.
Methods: This was a retrospective, single-center study of healthy subjects and patients with Marfan syndrome, Loeys-Dietz syndrome, Ehlers-Danlos syndrome, or nonspecific CTD who underwent CMR between 01/01/2000 and 01/01/2020.
J Biomech
October 2025
Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan; Faculty of Rehabilitation, Kansai Medical University, Hirakata, Japan.
We aimed to determine whether sleeper (SL) and cross-body (CB) stretching immediately reduce posterior capsule stiffness and to examine their differential effects on the middle and inferior posterior capsular regions. The nondominant shoulders of 15 healthy young adult men were included in this crossover study. Shear moduli of the middle and inferior posterior capsules were measured using shear-wave elastography before and 5 min after stretching.
View Article and Find Full Text PDFSleep Med
October 2025
School of Psychological Sciences, Monash University, Victoria, Australia. Electronic address:
Background: Capturing sleep data historically required complex, expensive, and labour-intensive equipment, with the gold standard being overnight polysomnography (PSG). Newer portable devices, such as the Dreem 3 headband, provide a novel opportunity to collect field-based data and have demonstrated accuracy in healthy sleepers compared to PSG. However, this device's performance has not been assessed in Insomnia Disorder, despite sleep-tracking technologies traditionally performing poorly in disordered sleepers.
View Article and Find Full Text PDFCommun Med (Lond)
July 2025
Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA.
Background: Sleep health comprises several dimensions such as sleep duration and fragmentation, circadian activity, and daytime behavior. Yet, most research has focused on individual sleep characteristics. Studies are needed to identify sleep/circadian profiles incorporating multiple dimensions and to assess their associations with adverse health outcomes.
View Article and Find Full Text PDFJ Neurosci Methods
July 2025
Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands; Sleep Medicine Center Kempenhaeghe, The Netherlands.
Background: The clinical standard to interpret polysomnography (PSG) data is to categorize sleep in five stages, which omits information. SOM-CPC is an unsupervised method that extracts features through contrastive predictive coding (CPC), and visualizes them in two dimensions using a self-organizing map (SOM). We propose various visualizations and analyses for pattern recognition in PSG data through SOM-CPC.
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