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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

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

Aurora D’Atri,1,2 Serena Scarpelli,1 Maurizio Gorgoni,1 Valentina Alfonsi,1 Ludovica Annarumma,1 Anna Maria Giannini,1 Michele Ferrara,3 Fabio Ferlazzo,1 Paolo Maria Rossini,4,5 Luigi De Gennaro1,2 1Department of Psychology, University of Rome “Sapienza”, Rome, Italy; 2Area of Neuroscience, IRCCS San Raffaele Pisana, Rome, Italy; 3Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy; 4Institute of Neurology, Catholic University of the Sacred Heart, Rome, Italy; 5Department Geriatrics, Neuroscience & Orthopaedics, Policlinic A. Gemelli Foundation-IRCCS, Rome, ItalyCorrespondence: Luigi De GennaroDepartment of Psychology, University of Rome “Sapienza”, Via Dei Marsi, 78, Rome 00185, Italy, Tel +39 06-49917647Fax +39 06-49917711Email luigi.degennaro@uniroma1.itPurpose: Recent studies demonstrate that 5-Hz bilateral transcranial alternating current stimulation (θ-tACS) on fronto-temporal areas affects resting EEG enhancing cortical synchronization, but it does not affect subjective sleepiness. This dissociation raises questions on the resemblance of this effect to the physiological falling asleep process. The current study aimed to evaluate the ability of fronto-temporal θ-tACS to promote sleep.Subjects and methods: Twenty subjects (10 F/10 M; mean age: 24.60 ± 2.9 y) participated in a single-blind study consisting of two within-subject sessions (active/sham), one week apart in counterbalanced order. Stimulation effects on EEG were assessed during wake and post-stimulation nap. The final sample included participants who fell asleep in both sessions (n=17).Results: Group analyses on the whole sample reported no θ-tACS effects on subjective sleepiness and sleep measures, while a different scenario came to light by analysing data of responders to the stimulation (ie, subjects actually showing the expected increase of theta activity in the wake EEG after the θ-tACS, n=7). Responders reported a significant increase in subjective sleepiness during wakefulness after the active stimulation as compared to the sham. Moreover, the sleep after the θ-tACS compared to sham in this sub-group showed: (1) greater slow-wave activity (SWA); (2) SWA time-course revealing increases much larger as closer to the sleep onset; (3) stimulation-induced changes in SWA during sleep topographically associated to those in theta activity during wake.Conclusion: Subjects who show the expected changes during wake after the stimulation also had a consistent pattern of changes during sleep. The enhancement of cortical synchronization by θ-tACS during wakefulness actually corresponds to increased sleep pressure, but it occurs only in some individuals. Thus, θ-tACS can enhance sleep, although individual factors to be further investigated affect the actual responsiveness to this treatment.Keywords: transcranial alternating current stimulation, sleep, EEG, slow-wave activity, sleep onset