Search

Purpose: Sleep State Misperception (SSM) is described as the tendency of Insomnia Disorder (ID) patients to overestimate Sleep Latency (SL) and underestimate Total Sleep Time (TST). Literature exploring topographical components in ID with SSM is scarce and does not allow us to fully understand the potential mechanisms underlying this phenomenon. This study aims to evaluate the existence of sleep EEG topography alterations in ID patients associated with SSM compared to Healthy Controls (HC), focusing on two distinct periods: the Sleep Onset (SO) and the whole night. Methods: Twenty ID patients (mean age: 43.5 ± 12.7; 7 M/13F) and 18 HCs (mean age: 41.6 ± 11.9; 8 M/10F) underwent a night of Polysomnography (PSG) and completed sleep diaries the following morning upon awakening. Two SSM indices, referring to the misperception of SL (SLm) and TST (TSTm), were calculated by comparing objective and subjective sleep indices extracted by PSG and sleep diary. According to these indices, the entire sample was split into 4 sub-groups: ID +SLm vs HC –SLm; ID +TSTm vs HC –TSTm. Results: Considering the SO, the two-way mixed-design ANOVA showed a significant main effect of Groups pointing to a decreased delta/beta ratio in the whole scalp topography. Moreover, we found a significant interaction effect for the sigma and beta bands. Post Hoc tests showed higher sigma and beta power in anterior and temporo-parietal sites during the SO period in IDs +SLm compared to HC –SLm.Considering the whole night, the unpaired t-test revealed in IDs +TSTm significantly lower delta power during NREM, and lower delta/beta ratio index during NREM and REM sleep compared to HCs –TSTm.Finally, we found diffuse significant negative correlations between SSM indices and the delta/beta ratio during SO, NREM, and REM sleep. Conclusion: The main finding of the present study suggests that higher SL overestimation and TST underestimation are both phenomena related to diffuse cortical hyperarousal interpreted as a sleep state-independent electrophysiological correlate of the SSM, both during the SO and the whole night.

Valentina Alfonsi,1 Agostino Carbone,2 Serena Scarpelli,1 Maurizio Gorgoni,1,3 Antonella Luchini,4 Patrizia D’Andrea,5 Stefania Cherubini,5 Cristina Costarelli,4 Alessandro Couyoumdjian,1 Fiorenzo Laghi,2 Luigi De Gennaro1,3 1Department of Psychology, Sapienza University of Rome, Rome, Italy; 2Department of Developmental and Social Psychology, Sapienza University of Rome, Rome, Italy; 3IRCCS Fondazione Santa Lucia, Rome, Italy; 4Liceo Scientifico Statale “Isacco Newton”, Roma, Italy; 5Istituto di Istruzione Superiore via Copernico, Pomezia, ItalyCorrespondence: Valentina Alfonsi, Department of Psychology, University of Rome “Sapienza”, Rome, 00185, Italy, Tel +39 649917508, Email valentina.alfonsi@uniroma1.itBackground: Delaying school start times has been proposed as a potential solution to address chronic sleep curtailment among adolescents and its negative consequences on their physical and mental well-being. This study investigates the impact of delayed school start times due to the COVID-19 pandemic on academic achievement.Subjects and Methods: Two separate observational studies were conducted involving high school students from the first/second year (n=232) (Study 1) and from the final year (n=39) (Study 2). Multivariate Analyses of Covariance were performed to assess for statistical differences in academic performance (ie, global, humanistic, and scientific performance) and absenteeism (ie, number of school absences). Two main factors were considered: “school start time” (ie, standard-8:00 AM vs late-9:40 AM) and “time interval” (ie, first academic semester vs second academic semester), controlling for the school year (Study 1) and circadian preference (Study 2).Results: Delaying school start times was positively associated with better academic performance in scientific subjects among first/second-year students (F1,229=6.083, p=0.026) and global academic performance among last-year students (F1,35=4.522, p=0.041). Furthermore, first/second-year students significantly increased their school achievement (F1,229> 29.423, p< 0.001) and school absences (F1,229=66.160, p< 0.001) during the second semester of the academic year. No significant effect of “school start time” on school attendance was observed. Additionally, circadian preference was found to be a significant covariate among last-year students, with early chronotypes exhibiting better academic performance (r> 0.369, p< 0.025).Conclusion: These findings confirm past evidence about the beneficial effects of delayed school start times on academic outcomes, with the additional advantage of observing them within a natural context that emerged during the pandemic. Further research is needed to explore the phenomenon more systematically and take into account the broader implications of implementing this change.Keywords: later school start time, academic achievement, adolescents, COVID-19 pandemic, circadian preference

Serena Scarpelli,1 Valentina Alfonsi,1 Milena Camaioni,1 Maurizio Gorgoni,1,2 Antonio Albano,3 Alessandro Musetti,4 Maria Catena Quattropani,5,6 Giuseppe Plazzi,7,8 Luigi De Gennaro,1,2 Christian Franceschini3 1Department of Psychology, University of Rome Sapienza, Rome, Italy; 2Body and Action Lab, IRCCS Fondazione Santa Lucia, Rome, Italy; 3Department of Medicine and Surgery, Faculty of Medicine and Surgery, University of Parma, Parma, Italy; 4Department of Humanities, Social Sciences and Cultural Industries, University of Parma, Parma, Italy; 5Department of Educational Sciences, University of Catania, Catania, Italy; 6Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy; 7Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; 8IRCCS Institute of Neurological Sciences, Bologna, ItalyCorrespondence: Serena Scarpelli, Department of Psychology, University of Rome Sapienza, Via dei Marsi 78, Rome, 00185, Italy, Tel +39 06 49917508, Email serena.scarpelli@uniroma1.itPurpose: COVID-19 pandemic waves have strongly influenced individuals’ behaviors and mental health. Here, we analyzed longitudinal data collected in the Spring 2020 and 2021 from a large Italian sample with the aim of assessing changes in dream features between the first and third wave. Specifically, we evaluated the modifications of pandemic dream activity as a function of the general distress variations over time. Also, we detected the best explanatory variables of nightmare frequency and distress.Materials and Methods: Participants previously involved in the web survey during the first wave of the pandemic were asked to complete a new online survey on sleep and dream features available in Spring 2021 (N=728). Subjects decreasing their level of psychological general distress in the third (T3) vs the first (T1) pandemic wave were defined as “Improved” (N=330). In contrast, participants with an unchanged or increased level of general distress were defined as “Not Improved” (N=398).Results: Statistical comparisons revealed that dream recall frequency, nightmare frequency, lucid dream frequency, and emotional intensity show a reduction in T3 than T1. Moreover, the Improved group is characterized by lower nightmare rate and nightmare distress than Not Improved people. Our findings confirmed that beyond the trait-like variables (ie, age, sex), specific sleep-related measures are related to nightmare features. In particular, poor sleep hygiene was one of the best determinants of nightmare distress among Not Improved subjects.Conclusion: Our findings revealed that people experienced an adaptation to the pandemic during the third wave. We also strengthen the notion that nightmares and their variations over time are strongly related to human well-being, suggesting that specific trait-like and sleep-related factors could modulate the relationship between mental health and nightmare features.Keywords: nightmare, distress, sleep, pandemic, third wave, clinical psychology

Background: The COVID-19 pandemic increased symptoms of stress and anxiety and induced changes in sleep quality, dream activity, and parasomnia episodes. It has been shown that stressful factors and/or bad sleep habits can affect parasomnia behaviors. However, investigations on how COVID-19 has affected sleep, dreams, and episode frequency in parasomnias are rare. The current study focuses on the impact of the pandemic on a specific parasomnia characterized by speech production (sleep talking, ST). Methods: We selected 27 participants with frequent ST episodes (STs) during the pandemic and compared them with 27 participants with frequent STs from a previous study conducted during a pre-pandemic period. All participants performed home monitoring through sleep logs and recorded their nocturnal STs for one week. Results: We observed a higher frequency of STs in the pandemic group. Moreover, STs were related to the emotional intensity of dreams, independent of the pandemic condition. The pandemic was associated with lower bizarreness of dreams in the pandemic group. There were no differences in sleep variables between the two groups. Conclusion: Overall, these results suggest a stressful effect of COVID-19 on the frequency of STs. Both the pandemic and the frequency of STs affect qualitative characteristics of dreams in this population.

The DESI Legacy Imaging Surveys (http://legacysurvey.org/) are a combination of three public projects (the Dark Energy Camera Legacy Survey, the Beijing-Arizona Sky Survey, and the Mayall z-band Legacy Survey) that will jointly image ≈14,000 deg2 of the extragalactic sky visible from the northern hemisphere in three optical bands (g, r, and z) using telescopes at the Kitt Peak National Observatory and the Cerro Tololo Inter-American Observatory. The combined survey footprint is split into two contiguous areas by the Galactic plane. The optical imaging is conducted using a unique strategy of dynamically adjusting the exposure times and pointing selection during observing that results in a survey of nearly uniform depth. In addition to calibrated images, the project is delivering a catalog, constructed by using a probabilistic inference-based approach to estimate source shapes and brightnesses. The catalog includes photometry from the grz optical bands and from four mid-infrared bands (at 3.4, 4.6, 12, and 22 μm) observed by the Wide-field Infrared Survey Explorer satellite during its full operational lifetime. The project plans two public data releases each year. All the software used to generate the catalogs is also released with the data. This paper provides an overview of the Legacy Surveys project.

The DESI Legacy Imaging Surveys (http://legacysurvey.org/) are a combination of three public projects (the Dark Energy Camera Legacy Survey, the Beijing-Arizona Sky Survey, and the Mayall z-band Legacy Survey) that will jointly image ≈14,000 deg2 of the extragalactic sky visible from the northern hemisphere in three optical bands (g, r, and z) using telescopes at the Kitt Peak National Observatory and the Cerro Tololo Inter-American Observatory. The combined survey footprint is split into two contiguous areas by the Galactic plane. The optical imaging is conducted using a unique strategy of dynamically adjusting the exposure times and pointing selection during observing that results in a survey of nearly uniform depth. In addition to calibrated images, the project is delivering a catalog, constructed by using a probabilistic inference-based approach to estimate source shapes and brightnesses. The catalog includes photometry from the grz optical bands and from four mid-infrared bands (at 3.4, 4.6, 12, and 22 μm) observed by the Wide-field Infrared Survey Explorer satellite during its full operational lifetime. The project plans two public data releases each year. All the software used to generate the catalogs is also released with the data. This paper provides an overview of the Legacy Surveys project.

IntroductionCluster headache (CH) is a trigeminal autonomic cephalalgia characterized by attacks of severe unilateral pain associated with ipsilateral autonomic symptoms. Cluster headache attacks exhibit nocturnal predilection, and sleep disorders could be the first manifestation of an incipient cluster period. Sleep alterations in cluster headache patients may reflect the pivotal role of the hypothalamus, which is crucially involved in the pathophysiology of this primary headache. We describe the case of a patient affected by episodic cluster headache who experienced a sleep disorder after starting therapy with verapamil.Case presentationA 47-year-old man was affected by episodic cluster headache, characterized by attacks of excruciating pain in the left orbital and temporal regions, associated with prominent ipsilateral vegetative symptoms. Headaches occurred during the night, with one or two nocturnal attacks appearing at 11.30–12 p.m. and 4–4.30 a.m. Preventive treatment with verapamil was started, with immediate pain relief. Later, he experienced consecutive nocturnal awakenings for a couple of weeks, always at the same time, without any pain or autonomic symptoms. He was not agitated and did not need to get out of bed; after the awakenings, he reported sleep disturbances with vivid dreams.Discussion and conclusionThis case represents the first description of recurrent cyclic nocturnal awakenings, without pain and autonomic symptoms, in a patient with episodic cluster headache during the active phase of a cluster bout. Nocturnal awakenings, started after the introduction of effective preventive therapy, might be an unusual form of “ghost attacks.” After the beginning of prophylactic therapy, patients often describe mild pain or localized pressure in the same localization of CH attack. Similarly, the appearance of sleep disturbances, without any pain or vegetative symptoms, should be regarded as a warning sign of a still active cluster bout. Since these manifestations may influence therapeutic management, they should be carefully investigated.

Abstract Eveningness is distinctively associated with sleep disturbances and depression symptoms due to the misalignment between biological and social clocks. The widespread imposition of remote working due to the COVID-19 pandemic allowed a more flexible sleep schedule. This scenario could promote sleep and mental health in evening-type subjects. We investigated the effect of working from home on sleep quality/quantity and insomnia symptoms within the morningness-eveningness continuum, and its indirect repercussions on depressive symptomatology. A total of 610 Italian office workers (mean age ± standard deviation, 35.47 ± 10.17 years) and 265 remote workers (40.31 ± 10.69 years) participated in a web-based survey during the second contagion wave of COVID-19 (28 November–11 December 2020). We evaluated chronotype, sleep quality/duration, insomnia, and depression symptoms through validated questionnaires. Three moderated mediation models were performed on cross-sectional data, testing the mediation effect of sleep variables on the association between morningness-eveningness continuum and depression symptoms, with working modality (office vs. remote working) as moderator of the relationship between chronotype and sleep variables. Remote working was associated with delayed bedtime and get-up time. Working modality moderated the chronotype effect on sleep variables, as eveningness was related to worse sleep disturbances and shorter sleep duration among the office workers only. Working modality also moderated the mediation of sleep variables between chronotype and depression. The above mediation vanished among remote workers. The present study suggests that evening-type people did not show their characteristic vulnerability to sleep problems when working from home. This result could imply a reduction of the proposed sleep-driven predisposition to depression of late chronotypes. A working environment complying with individual circadian preferences might ensure an adequate sleep quantity/quality for the evening-type population, promoting their mental health.

Since the beginning of the coronavirus (COVID-19) pandemic, a plethora of studies have been conducted to investigate the effects of this extraordinary phenomenon on sleep and mental health [...]

Human sleep physiology is strongly affected by age [...]

Milena Camaioni,1 Serena Scarpelli,1 Maurizio Gorgoni,1 Valentina Alfonsi,2 Luigi De Gennaro1,2 1Department of Psychology, Sapienza University of Rome, Rome, Italy; 2IRCCS Fondazione Santa Lucia, Rome, ItalyCorrespondence: Luigi De GennaroDepartment of Psychology, Sapienza University of Rome, Via dei Marsi, 78, Rome, 00185, ItalyTel +39-06-49917647Fax +39-06-49917711Email luigi.degennaro@uniroma1.itIntroduction: Non-rapid eye movement (NREM) parasomnias are defined as abnormal nocturnal behaviors that typically arise from the NREM sleep stage 3 during the first sleep cycle. The polysomnographic studies showed an increase in sleep fragmentation and an atypical slow wave activity (SWA) in participants with NREM parasomnias compared to healthy controls. To date, the pathophysiology of NREM parasomnias is still poorly understood. The recent investigation of the EEG patterns immediately before parasomnia events could shed light on the motor activations’ processes. This systematic review aims to summarize empirical evidence about these studies and provide an overview of the methodological issues.Methods: A systematic literature search was carried out in PubMed, Web of Science, and Scopus, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The documents obtained were evaluated using the Newcastle–Ottawa Scale (NOS).Results: Nine studies were included in the qualitative synthesis. The major evidence revealed an increased slow frequency EEG activity immediately before the motor activations in frontal and central areas and increased beta activity in the anterior cingulate cortices.Discussion: The investigation of EEG patterns before parasomniac episodes could provide new insight into the study of NREM parasomnia pathophysiology. The high- and low-frequency EEG increase before the episodes could represent a predictive electrophysiological pattern of the motor activations’ onset. Overall, identifying specific sleep markers before parasomnias might also help differentiate between NREM parasomnias and other motor sleep disorders. Different methodological protocols should be integrated for overcoming the lack of consistent empirical findings. Thus, future studies should focus on the topographical examination of canonical EEG frequency bands to better understand spatial and time dynamics before the episodes and identify the networks underlying the onset of activations.Keywords: NREM parasomnias, episodes, motor activations, sleep EEG, polysomnography, electroencephalography

Valentina Alfonsi,1,2 Rossella Palmizio,3 Annalisa Rubino,3 Serena Scarpelli,2 Maurizio Gorgoni,1 Aurora D’Atri,4 Mariella Pazzaglia,1,2 Michele Ferrara,4 Salvatore Giuliano,3 Luigi De Gennaro1,2 1Department of Psychology, “Sapienza” University of Rome, Rome, Italy; 2I.R.C.C.S. Fondazione Santa Lucia, Rome, Italy; 3I.I.S.S. “Ettore Majorana”, Brindisi, Italy; 4Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, ItalyCorrespondence: Luigi De Gennaro“Sapienza” University of Rome, Via Dei Marsi, 78, Rome 00185, ItalyTel (+39) 06-49917647Fax (+39) 06-49917711Email luigi.degennaro@uniroma1.itPurpose: In adolescence, physiological (circadian and homeostatic regulation of sleep) and social habits contribute to delayed sleep onset, while social obligations impose early sleep offset. The effects of delayed school start time on the subjective/objective measures of sleep–wake patterns and academic achievement have not been established.Methods: This pre-, post-, and longitudinal non-randomized study included an early (8:00 am; ESC=30 students) and the late (9:00 am; LSC=21 students) start class. Multiple sleep data included a weekly sleep diary, Karolinska Sleepiness Scale, Pittsburgh Sleep Quality Index, and Epworth Sleepiness Scale. Sustained attention was measured using the Psychomotor Vigilance Task. Academic performance was evaluated by two different mathematical and scientific standard tests (entrance and final) and by school attendance indicators. Data were collected at monthly intervals from October 2018 to May 2019 and the beginning and end of the academic year (pre/post).Results: All students turned their lights off at similar times (LSC=11:21pm, ESC=11:11pm), but LSC students woke up later (7:23am) than ESC students (6:55am; F1,48=11.81, p=0.001) on school days. The groups did not differ in total sleep duration on non-school days. Longitudinal measures revealed a significant increase (8.9%, 34 min) in total sleep duration of LSC students across the academic year. ESC students maintained approximately the same sleep duration. Furthermore, changes in sleep duration had parallelled significant differences in sustained attention, with LSC students outperforming ESC students. Longitudinal changes of sleep and sustained attention were associated with a coherent pattern of changes in academic performance.Conclusion: Findings indicate that a one-hour delay in school start time is associated with longer sleep, better diurnal sustained attention, attendance, and improved academic performance. Notably, sleep changes were limited to school days. A delay in school start time should be seriously considered to improve sleep and academic achievements of students.Keywords: sleep, school start time, attention, school health, sleep loss, adolescence

Serena Scarpelli,1,2 Chiara Bartolacci,1 Aurora D’Atri,1,3 Milena Camaioni,1 Ludovica Annarumma,1 Maurizio Gorgoni,1 Chiara Cloos,1 Michele Ferrara,3 Luigi De Gennaro1,2 1Department of Psychology, Sapienza University of Rome, Rome 00185, Italy; 2IRCCS Fondazione Santa Lucia, Rome, Italy; 3Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, Coppito, L’Aquila 67100, ItalyCorrespondence: Luigi De GennaroDepartment of Psychology, Sapienza University of Rome, Via Dei Marsi, 78, Rome 00185, ItalyTel +39-06-49917647Fax +39-06-49917711Email luigi.degennaro@uniroma1.itPurpose: In the current study, we aimed to investigate the EEG correlates of dream recall (DR) monitoring both the homeostatic and state-trait like factors. We assessed the influence of the time of night on the EEG correlates of DR from REM sleep. Specifically, we tested the continuity-hypothesis (on the theta EEG band) and the activation-hypothesis (on the delta and beta bands).Methods: Twenty-seven subjects underwent polysomnography with multiple provoked awakenings during REM sleep. Only the subjects showing combinations of dream recall (REC) and non-REC (NREC) conditions in both first (1st– 2nd sleep cycle) and second (3rd– 4th sleep cycle) part of the night were included in the analyses. The final sample was composed of 10 subjects (mean age 24± 0.70). EEG power spectra of the 5-min of REM sleep preceding each awakening were computed by a fast Fourier transform. The following frequency bands were considered: delta (0.50– 4.75 Hz), theta (5.00– 7.75 Hz), and beta (16.00– 24.75 Hz). We also calculated the delta/beta power ratio as an integrated EEG index of activation.Results: The 2× 2 within-subjects ANOVA recall × time revealed: a) no significant effect for time and no interaction; b) significant differences over the occipital area in the beta band; c) significant differences over the parietal area for the activation index values. Overall, the results indicated that DR is associated with higher activation regardless of homeostatic pressure across the night of sleep.Conclusion: In line with recent findings, we have shown that DR is predicted by desynchronized EEG activity during REM sleep, providing clear evidence in favor of the activation-hypothesis. We have also confirmed that the EEG pattern of DR can be ascribed to state-like factors. Further studies should assess whether homeostatic modulation may interact with some dream features and the related EEG predictors.Keywords: dream recall, REM sleep, EEG, activation hypothesis, multiple awakenings, sleep homeostasis

Cette contribution entend examiner la place que la référence au droit, et plus largement au phénomène juridique, occupe dans la dernière phase de la réflexion de Ricœur autour du sujet capable. Le droit joue en effet un rôle d’une importance croissante dans l’articulation de l’anthropologie capacitaire définie dans la “petite éthique” à travers une reconfiguration profonde de ses catégories fondamentales, notamment celle de sujet de droit et celle de responsabilité. Les implications d’un tel renouveau théorique seront prises en compte, tant pour l’articulation interne de la pensée du dernier Ricœur que pour leurs potentielles retombées dans la théorie du droit contemporaine.

recent developments of Artificial Intelligence based on machine learning techniques through Big Data raise multiple ethical and legal concerns, all of which ultimately do turn around the issues of responsibility, which is increasingly invoked not as a remedy but as a character which shall shape the whole development process of AI as well as its functioning. The characters of AI, taken in its technical and social role, challenge some established ideas related to human agency, namely responsibility. Recently two scholars like Jack Balkin (director of the Yale Information Society Project he founded on 1997) and Frank Pasquale (author of The Black Box Society: The Secret Algorithms That Control Money and Information, 2015) proposed “new laws of robotics for the Algorithmic Society” inspired to Isaac Asimov’s ones, but targeting the human agents behind the development and the use of AI. On the other side, Responsible Research and Innovation model has been proposed as a model for the responsible development of AI. Whilst the reference to responsibility is appealing, nevertheless the inflation of its disparate usages may obscure the meaning associated with it. This article wants to contribute to the understanding of the issues behind the idea of preserving the human character of responsibility when confronted to the risks of its dissolution induced by the increasingly relevant roles played by AI in our societies.

The imposition of lockdowns during the COVID-19 pandemic placed individuals under conditions of environmental stress, threatening individual and collective wellbeing. This study aimed to investigate the temporal effects of isolation and confinement during and after the Italian lockdown on decision-making, risk propensity, and cognitive control processes. The present study covered almost the entire Italian lockdown period (each week from the end of March to mid-May 2020), plus a follow-up measure (September 2020). At each time-point, respondents completed online behavioral tasks, which involved measuring risk-propensity (Balloon Analogue Risk Task), decision-making (Iowa Gambling Task), and cognitive flexibility (Category Switch Task). They also filled in questionnaires regarding subjective stress and anxiety. The main findings showed that the decision-making abilities of the respondents were affected as the confinement progressed. Furthermore, individuals who were more subjectively impacted by the lockdown/isolation experience exhibited impaired decision-making, especially during the lockdown. The results of the study highlight that prolonged confinement may affect human decision making, and help understand individuals’ misbehaviors during emergencies and develop effective countermeasures aimed at reducing the burden of the healthcare system.

Sleep changes significantly throughout the human lifespan. Physiological modifications in sleep regulation, in common with many mammals (especially in the circadian rhythms), predispose adolescents to sleep loss until early adulthood. Adolescents are one-sixth of all human beings and are at high risk for mental diseases (particularly mood disorders) and self-injury. This has been attributed to the incredible number of changes occurring in a limited time window that encompasses rapid biological and psychosocial modifications, which predispose teens to at-risk behaviors. Adolescents’ sleep patterns have been investigated as a biunivocal cause for potential damaging conditions, in which insufficient sleep may be both a cause and a consequence of mental health problems. The recent COVID-19 pandemic in particular has made a detrimental contribution to many adolescents’ mental health and sleep quality. In this review, we aim to summarize the knowledge in the field and to explore implications for adolescents’ (and future adults’) mental and physical health, as well as to outline potential strategies of prevention.