{"title":"Consumer sleep technologies: what we know and what comes next.","authors":"Hannah Scott, Michael Grandner, Nicola Cellini","doi":"10.1093/sleepadvances/zpag053","DOIUrl":"10.1093/sleepadvances/zpag053","url":null,"abstract":"","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"7 2","pages":"zpag053"},"PeriodicalIF":0.0,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13278797/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148297712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David A Kalmbach, Anthony N Reffi, Philip Cheng, Parisa R Kaliush, Matthew B Jennings, Heba A Afaneh, Amanda Yu, Miriam Jaziri, Christopher L Drake
{"title":"Treating insomnia during pregnancy improves bedtime procrastination, rumination, anxiety, and positive affect: a randomized controlled trial of cognitive-behavioral and mindfulness-based therapies for prenatal insomnia.","authors":"David A Kalmbach, Anthony N Reffi, Philip Cheng, Parisa R Kaliush, Matthew B Jennings, Heba A Afaneh, Amanda Yu, Miriam Jaziri, Christopher L Drake","doi":"10.1093/sleepadvances/zpag050","DOIUrl":"10.1093/sleepadvances/zpag050","url":null,"abstract":"<p><strong>Study objectives: </strong>Insomnia is common in pregnancy and is associated with maladaptive sleep behaviors and poor emotion regulation. Cognitive-behavioral therapy for insomnia (CBTI) and Perinatal Understanding of Mindful Awareness for Sleep (PUMAS) are effective interventions for alleviating prenatal insomnia. However, clinical benefits outside the primary target of sleep remain unclear. This randomized controlled trial (RCT) explored the effectiveness of CBTI and PUMAS on bedtime procrastination, insomnia-focused rumination, anxiety, affect, and mindfulness.</p><p><strong>Methods: </strong>Secondary analysis of a single-site, three-arm RCT of <i>N</i> = 64 pregnant women with clinical insomnia who were randomized to CBTI, PUMAS, or sleep hygiene education (SHE). Outcomes included the bedtime procrastination scale (BPS), daytime insomnia symptom response scale, generalized anxiety disorder-7, positive and negative affect schedule, expanded form-modified (PANAS positive and negative affect), and five facet mindfulness questionnaire (FFMQ). Patients provided treatment feedback.</p><p><strong>Results: </strong>CBTI and PUMAS were associated with large reductions in BPS (Cohen's ds ≥ 1.02) and medium-to-large effects on PANAS positive affect (Cohen's ds ≥ .60). In a subsample of patients with anxiety symptoms, CBTI and PUMAS produced large anxiolytic effects (Cohen's ds ≥ .92). PUMAS reduced insomnia-focused rumination relative to SHE (Cohen's d = .71), whereas CBTI did not. We observed no significant effects on negative affect or FFMQ. Patients identified behavioral sleep strategies, meditation, and honoring pregnancy as particularly helpful.</p><p><strong>Conclusions: </strong>CBTI and PUMAS yield clinical gains beyond the primary target of insomnia. These findings highlight the benefits of improving sleep quality for the betterment of overall maternal wellbeing, thereby strengthening consideration of CBTI and PUMAS as first-line treatments for prenatal insomnia.</p><p><strong>Clinical trial registration: </strong>Improving Negative Stressful Perseverations in Insomnia to Revitalize Expectant Moms (INSPIRE). https://clinicaltrials.gov/study/NCT04445805, National Library of Medicine ClinicalTrials.gov Registry: NCT04445805.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"7 2","pages":"zpag050"},"PeriodicalIF":0.0,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13274979/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148280275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Torbjörn Åkerstedt, Johanna Schwarz, Eva Lindberg, Jenny Theorell-Haglöw
{"title":"Gender differences in objective and self-reported sleep.","authors":"Torbjörn Åkerstedt, Johanna Schwarz, Eva Lindberg, Jenny Theorell-Haglöw","doi":"10.1093/sleepadvances/zpag048","DOIUrl":"10.1093/sleepadvances/zpag048","url":null,"abstract":"<p><p>It is not clear whether gender differences in self-reported sleep reflect polysomnographical differences. We here investigated gender differences in polysomnography (PSG) variables and their association with rated sleep quality for recorded sleep. The participants were 238 women and 238 men who were recorded for a night with PSG (home recordings), and provided sleep quality ratings for the recorded night. Analyses of variance showed that women reported significantly lower sleep quality than men, but it showed significantly better PSG sleep (fewer awakenings per hour, lower N1%, longer total sleep time, higher sleep efficiency, and more N3%, among others). However, men underestimated their objective number of awakenings and had a shorter objective time awake per objective awakening (6.4 ± .6 vs 8.2 ± .6 minutes for women, <i>p</i> < .05). Men with short awakenings (<7.8 min per awakening) had a high self-reported sleep quality, in contrast to men with long awakenings or women regardless of the duration of awakenings. When men with short awakenings were excluded, self-reported sleep quality no longer differed between genders. Gender differences in PSG variables increased with age. In addition, better self-reported sleep quality was associated with \"better\" PSG values for both genders. In conclusion, women reported poorer sleep quality than men but showed better objective sleep. It is suggested that men's better self-reported sleep is associated with an inability to perceive/remember short awakenings. The findings open a new view of gender differences in sleep, and indicate a need for experimental studies on gender differences in the perception of awakenings, their duration, and rated sleep quality.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"7 2","pages":"zpag048"},"PeriodicalIF":0.0,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13198721/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148018986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jack Manners, Hannah Scott, Alisha Guyett, Nicole Stuart, Peter Catcheside, Eva Kemps
{"title":"Estimated sleep from an under-mattress device predicts next-day vigilance, working memory, and mental arithmetic performance.","authors":"Jack Manners, Hannah Scott, Alisha Guyett, Nicole Stuart, Peter Catcheside, Eva Kemps","doi":"10.1093/sleepadvances/zpag045","DOIUrl":"10.1093/sleepadvances/zpag045","url":null,"abstract":"<p><strong>Study objectives: </strong>Sleep is vitally important to maintain cognitive function, particularly in shift-work contexts. Sleep trackers can reliably estimate sleep, but the relationship between estimated sleep and specific cognitive domains is unclear. This study examined associations between estimated sleep and subsequent cognitive performance during a simulated night-shift protocol.</p><p><strong>Methods: </strong>Twenty-four participants (mean [<i>SD</i>] age = 28[9] years) attended the sleep laboratory twice, for an 8-day simulated shift-work experimental protocol under two lighting conditions (standard- vs. circadian-informed lighting). Following a baseline sleep, participants remained awake for 27 h and transitioned to sleeping between 10:00 and 19:00 with cognitive testing between 00:00 and 08:00 for four days. Tests included the Balloon Analogue Risk Task, Continuous Performance task, Digit Symbol Substitution Test (DSST), Iowa Gambling task, Operation-Span task, Psychomotor Vigilance test, Stroop task, Tower of London task, and Trail Making test. Sleep was assessed using an under-mattress sensor (Withings Sleep Analyzer). Linear and non-linear models were used to test associations between estimated sleep and cognitive performance.</p><p><strong>Results: </strong>Significant associations were found between sleep metrics and PVT reaction time (R<sup>2</sup> = .13, <i>p</i> = .008), Operation-Span arithmetic errors (.15, <i>p</i> = .023), proportion correct on DSST and Stroop tasks (.06, <i>p</i> = .045; .09, <i>p</i> = .003), and Stroop reaction time (.19, <i>p</i> = .004). Random forest models demonstrated that vigilance, working memory, and mental arithmetic were associated with estimated sleep architecture, snoring, and cardiovascular function.</p><p><strong>Conclusions: </strong>Sleep trackers could inform next-day cognitive performance, particularly vigilance, mental arithmetic, and working memory. In so doing, they may enable more informed interpretations of device-derived sleep and management of sleep-related cognitive impairment in future models. <i>This paper is part of the Consumer Sleep Technology Collection</i>.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"7 2","pages":"zpag045"},"PeriodicalIF":0.0,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13198724/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148018993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Somraj Ghosh, Veena Hoffman, Brian Calingaert, David T Plante, Lois E Krahn, Alice Cai, Mary S Anthony, Shreya Dave, Satish Rao, Stephen Crawford
{"title":"The prevalence and incidence of narcolepsy in the United States: a real-world observational study using a validated narcolepsy case definition.","authors":"Somraj Ghosh, Veena Hoffman, Brian Calingaert, David T Plante, Lois E Krahn, Alice Cai, Mary S Anthony, Shreya Dave, Satish Rao, Stephen Crawford","doi":"10.1093/sleepadvances/zpag043","DOIUrl":"10.1093/sleepadvances/zpag043","url":null,"abstract":"<p><strong>Study objectives: </strong>Narcolepsy is a chronic condition affecting the sleep/wake cycle that is challenging to diagnose. Epidemiological data from large US-focused studies remain limited, with no validated claims-based case selection definitions for narcolepsy. We estimated the prevalence/incidence of diagnosed narcolepsy (type 1 [NT1], type 2 [NT2], overall) in an insured US population using validated, claims-based narcolepsy case definitions.</p><p><strong>Materials and methods: </strong>This observational study used HealthVerity administrative claims-linked electronic medical records to develop case definitions identifying individuals with NT1, NT2, and overall narcolepsy from diagnosis, medication, and procedure codes. Claims-based case definition performance (NT1, NT2, overall narcolepsy) was assessed using positive predictive values (PPVs). Prevalence (per 100 000 persons, on December 31, 2023) and annual incidence (per 100 000 person-years [PY], 2020 - 2023) were calculated/adjusted using PPVs for each case definition.</p><p><strong>Results: </strong>Unadjusted point prevalence among individuals with ≥12 months of continuous enrollment were 15.5/100 000 (NT1), 51.1/100 000 (NT2), and 67.0/100 000 (overall narcolepsy). Unadjusted incidence rates were stable from 2020 - 2023 for NT1 (range, 2.0 - 2.3/100 000 PY) but declined across years for NT2 (9.1 - 7.6/100 000 PY) and overall narcolepsy (11.3 - 9.6/100 000 PY). PPVs (95% confidence interval) of NT1, NT2, and overall narcolepsy were 0.81 (0.72 - 0.88), 0.84 (0.75 - 0.91), and 0.80 (0.71 - 0.87), contributing to epidemiologic estimates being reduced by ~20% after PPV adjustment. Prevalence and incidence were higher in females than males. Individuals with NT1 were ~ 4 years younger versus NT2.</p><p><strong>Conclusions: </strong>Validated definitions for narcolepsy can reduce potential misclassification. Our findings highlight a relatively low NT1 prevalence in the US. In contrast, NT2 prevalence estimates were > 3 times higher than NT1.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"7 2","pages":"zpag043"},"PeriodicalIF":0.0,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13156510/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147870844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jun Wang, Sue Osting, Anna Goforth, Mathew V Jones, Rama Maganti
{"title":"REST-a deep learning tool for automated mouse sleep stage classification.","authors":"Jun Wang, Sue Osting, Anna Goforth, Mathew V Jones, Rama Maganti","doi":"10.1093/sleepadvances/zpag044","DOIUrl":"10.1093/sleepadvances/zpag044","url":null,"abstract":"<p><strong>Study objectives: </strong>Sleep research in rodents often involves large-scale electroencephalography (EEG) recordings that are traditionally scored manually-a labor-intensive process prone to scorer bias and inconsistency. We developed the REST-Rodent EEG Sleep Transformer, a neural network trained for automated sleep stage classification based on EEG and electromyography (EMG).</p><p><strong>Materials and methods: </strong>EEG and EMG signals were segmented into 4-second epochs, transformed via short-time Fourier transform to generate representations with five time frames and 130 frequency bins per epoch. We used a two-stage model: the first stage analyzes individual epochs to extract meaningful features, while the second stage captures sleep patterns over time by modeling the relationships between consecutive epochs. The model was trained based on 116 days of artifact-free, pre-labeled recordings from 94 male Fmr1 knockout mice (C57BL/6 background). It was then tested on 38 separate 24-hour recordings from the same mice and on three other mouse strains (C57, DBA, and CD-1). REST was also tested against a convolutional neural network (CNN)-based model (Accusleep).</p><p><strong>Results: </strong>REST achieved a Cohen's kappa of 0.873 ± 0.005 and F1-scores for Wake (0.936 ± 0.003) and non-rapid eye movement sleep (0.926 ± 0.003), with strong performance for rapid eye movement sleep (0.913 ± 0.005). REST showed robust cross-strain compatibility and generalized effectively to external datasets.</p><p><strong>Conclusion: </strong>REST is a fast, accurate, and accessible tool for automated sleep stage classification in mice. Its Transformer architecture provides long-range temporal awareness, enabling consistent and reliable analysis of rodent sleep in large-scale datasets.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"7 2","pages":"zpag044"},"PeriodicalIF":0.0,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13189165/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147990299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tony J Cunningham, Erin J Wamsley, Jessica D Payne
{"title":"Festschrift in honor of Dr. Robert Stickgold, pioneer in sleep, memory, and dream research.","authors":"Tony J Cunningham, Erin J Wamsley, Jessica D Payne","doi":"10.1093/sleepadvances/zpag041","DOIUrl":"10.1093/sleepadvances/zpag041","url":null,"abstract":"","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"7 2","pages":"zpag041"},"PeriodicalIF":0.0,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13173424/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147965869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nashe Marshall Mutombe, Kanchana Ekanayake, Chin Moi Chow
{"title":"Cheyne-Stokes respiration detected via CPAP devices as a digital biomarker for heart failure in obstructive sleep apnoea: systematic review.","authors":"Nashe Marshall Mutombe, Kanchana Ekanayake, Chin Moi Chow","doi":"10.1093/sleepadvances/zpag042","DOIUrl":"10.1093/sleepadvances/zpag042","url":null,"abstract":"<p><strong>Study objectives: </strong>To synthesize evidence on the diagnostic, prognostic, surveillance, and monitoring potential of Cheyne-Stokes respiration (CSR) ventilatory patterns, as detected by continuous positive airway pressure (CPAP) devices, in patients with heart failure (HF) or at risk of HF-often with comorbid obstructive sleep apnoea.</p><p><strong>Materials and methods: </strong>This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) statement. Five electronic databases were searched (1946-2025) for studies examining CSR derived from CPAP airflow signals (CPAP-CSR), and heart-failure outcomes. Data synthesis followed Synthesis Without Meta-analysis guidelines across five domains: presence, burden, morphology, temporal dynamics, and aetiology.</p><p><strong>Results: </strong>Five studies were included. CPAP-CSR presence was strongly associated with serious cardiac events (adjusted OR 5.74; <i>p</i> < .001) at 12 months. CPAP-CSR burden correlated with [B-type natriuretic peptide (BNP), left ventricular ejection fraction (LVEF), and estimated glomerular filtration rate (eGFR)], HF hospitalisations, and serious cardiac events. Morphological features, specifically longer cycle lengths (˃68.9 s), accurately discriminated HF-related CSR (AUC 0.954). Short-term temporal dynamics were highly prognostic; day-to-day instability (SD-CSB%) predicted acute HF decompensation (AUC 0.919), reflecting an inability to maintain normal function. Aetiological stratification revealed that progressive CPAP-CSR burden and serious cardiac events occurred exclusively in the cardiovascular-related CSR subgroups.</p><p><strong>Conclusions: </strong>CPAP-CSR is consistently associated with heart-failure status and its temporal changes, highlighting its potential as a non-invasive biomarker for disease presence and progression.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"7 2","pages":"zpag042"},"PeriodicalIF":0.0,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13156490/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147870832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anneleen Malfliet, Zoë Maebe, Luka Mattelin, Olivier Mairesse, Jo Nijs, Astrid Lahousse, Nicole K Y Tang, Aisha Cortoos, Eva Huysmans
{"title":"A stepped-care strategy for cognitive behavioral therapy for insomnia in chronic spinal pain-protocol of a randomized clinical trial (the StepUp study).","authors":"Anneleen Malfliet, Zoë Maebe, Luka Mattelin, Olivier Mairesse, Jo Nijs, Astrid Lahousse, Nicole K Y Tang, Aisha Cortoos, Eva Huysmans","doi":"10.1093/sleepadvances/zpag040","DOIUrl":"10.1093/sleepadvances/zpag040","url":null,"abstract":"<p><p>Chronic spinal pain (CSP) and insomnia frequently co-occur in a mutually reinforcing relationship that amplifies symptom severity and reduces treatment efficacy. Despite the robust evidence supporting cognitive behavioral therapy for insomnia (CBT-i) as the first-line treatment, accessibility remains critically low due to workforce limitations, insufficient training in primary care, and the high burden of traditional treatment formats. This paper is the protocol of the StepUp study which aims to evaluate a stepped-care approach to CBT-i designed to improve access, efficiency, and clinical outcomes for individuals with CSP and chronic insomnia. In this three-arm randomized controlled trial, participants with CSP will be allocated to stepped-care CBT-i, standard CBT-i, or usual care. The primary outcome is remission of chronic insomnia at 6 months post-treatment. Secondary outcomes include cost-effectiveness, medication use, treatment adherence, sleep quality, pain intensity, and physical functioning assessed up to 12 months follow-up. By integrating precision medicine principles and resource optimization, this study addresses a critical gap in the management of comorbid insomnia and pain. Findings are expected to inform scalable, evidence-based care pathways, and enhance the delivery of effective behavioral sleep interventions within real-world healthcare systems.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"7 2","pages":"zpag040"},"PeriodicalIF":0.0,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13198722/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148018647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Quentin Schlitter, Vincent Beauchamps, Michael Quiquempoix, Pierre Fabries, Anthony Vacher, Marion Trousselard, Thibaut Dondaine, Fabien Sauvet
{"title":"Short sleep recovery partially restores decision-making alterations induced by total sleep deprivation.","authors":"Quentin Schlitter, Vincent Beauchamps, Michael Quiquempoix, Pierre Fabries, Anthony Vacher, Marion Trousselard, Thibaut Dondaine, Fabien Sauvet","doi":"10.1093/sleepadvances/zpag038","DOIUrl":"10.1093/sleepadvances/zpag038","url":null,"abstract":"<p><p>The dynamics of recovery from impaired decision-making after total sleep deprivation (TSD) are not well understood. We investigated the impact of TSD and subsequent 3 h sleep recovery night period on decision-making. After one baseline night (8 h Time in Bed [TIB], 23:00-07:00), 40 study participants (50 per cent women) followed a sleep deprivation protocol including one night of TSD (40 h continuous awakening), followed by 3 h TIB sleep recovery period (23:00-02:00) and 8 h TIB sleep recovery period. Indices derived from reaction time (RT), Go/No-Go, and complex Go/No-Go tasks (involving perceptual components, motor responses, RT, and accuracy) were assessed daily during dual-choice decision-making tasks (MindPulse Digital Battery). Composite indices to describe executive speed, reaction to difficulty, speed/accuracy balance, and parameters from decision diffusion model analysis were recorded. Errors and RT increased after TSD and remained elevated after a 3-h sleep recovery night, particularly for Go/No-Go tasks. Anticipation and inhibition errors as well as speed/accuracy balance are not restored by 3 h sleep recovery night, whereas RT was restored. Lower decision diffusion model drift values (i.e. slower information accumulation) observed in the higher difficulty (complex Go/No-Go) after TSD, persisted after the 3-h recovery night. All parameters were restored after an 8-h TIB recovery night. No effect of sleep loss on executive speed and reaction to difficulty was observed. In conclusion, short sleep recovery partially restored decision-making alterations induced by TSD. Slower perceptual and motor processes that persist after a short recovery night may favor errors, with possible operational consequences for shift or on-call workers. <b>Clinical trial:</b> NCT05924737, https://clinicaltrials.gov/study/NCT05924737, 2023_RECOPS study, registered 2023-06-12 (Study start 2023-10-01). <b>Clinical Trial Informations:</b> Delta Waves and Cognitive Recovery (RECOPS), NCT05924737, https://clinicaltrials.gov/study/NCT05924737, study record: 2023-06-20, study start: 2023-10-01.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"7 2","pages":"zpag038"},"PeriodicalIF":0.0,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13109101/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147791779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}