Early experience with the new DORA daridorexant in patients with insomnia disorder and comorbid mental disturbances: Results of a naturalistic study with 3 months follow-up.

Insomnia disorder may affect mental health, increasing suicidal risk. Targeting insomnia is crucial in the clinical practice. Sixty-six consecutive patients with insomnia disorder according with the DSM-5-TR criteria were treated with the dual orexin receptor antagonist, daridorexant 50 mg. Baseline (T0), 1 month (T1) and 3 month (T2) evaluations were performed. Insomnia severity (Insomnia Severity Index), mood, anxiety symptoms and suicidal risk (Beck Depression Inventory-II, Young Mania Rating Scale, Self-Reported Anxiety Scale, Suicidal Ideation Scale), dysfunctional insomnia-cognitive factors and pre-sleep arousal (Dysfunctional Beliefs About Sleep, Pre-Sleep Arousal Scale) were evaluated. The final sample included 66 patients (n = 36, 54% females, mean age 60 ± 13.6 years). Most of them, 64%, suffered from insomnia disorder comorbid with unipolar/bipolar depression, anxiety disorders and substance use disorders. Repeated ANOVA analyses showed that Insomnia Severity Index, Dysfunctional Beliefs About Sleep and Pre-Sleep Arousal Scale total score decreased across time (F = 68.818, p < 0.001; F = 47.561, p < 0.001; F = 28.142, p < 0.001, respectively). Similarly, Beck Depression Inventory-II, Self-Reported Anxiety Scale, Young Mania Rating Scale, and Suicidal Ideation Scale significantly decreased over time (p < 0.001). Predictors of insomnia remission (Insomnia Severity Index < 8) at T1 were improvement of Insomnia Severity Index at T1 (F = 60.205, p < 0.001), and improvement of Dysfunctional Beliefs About Sleep at T1 (F = 4.432, p = 0.041). Insomnia remission at T2 was best predicted by improvement of Dysfunctional Beliefs About Sleep at T2 (F = 3.993, p = 0.023). Multiple-regression models showed that clinical improvement of Beck Depression Inventory-II was best predicted by improvement in Dysfunctional Beliefs About Sleep at T1 and T2, manic symptoms by Insomnia Severity Index at T2, anxiety symptoms by Dysfunctional Beliefs About Sleep, Insomnia Severity Index and somatic Pre-Sleep Arousal Scale at T1 and T2. With the caution of a naturalistic design, early experience with daridorexant showed that by targeting insomnia it may be possible to improve not only insomnia symptoms but also comorbid symptoms.

Towards the neurobiology of insomnia: A systematic review of neuroimaging studies.

Insomnia disorder signifies a major public health concern. The development of neuroimaging techniques has permitted to investigate brain mechanisms at a structural and functional level. The present systematic review aims at shedding light on functional, structural, and metabolic substrates of insomnia disorder by integrating the available published neuroimaging data. The databases PubMed, PsycARTICLES, PsycINFO, CINAHL and Web of Science were searched for case-control studies comparing neuroimaging data from insomnia patients and healthy controls. 85 articles were judged as eligible. For every observed finding of each study, the effect size was calculated from standardised mean differences, statistic parameters and figures, showing a marked heterogeneity that precluded a comprehensive quantitative analysis. From a qualitative point of view, considering the findings of significant group differences in the reported regions across the articles, this review highlights the major involvement of the anterior cingulate cortex, thalamus, insula, precuneus and middle frontal gyrus, thus supporting some central themes in the debate on the neurobiology of and offering interesting insights into the psychophysiology of sleep in this disorder.

A Machine Learning Approach Unveils the Relationships between Sickness Behavior and Interoception after Vaccination: Suggestions for Psychometric Indices of Higher Vulnerability.

OBJECTIVE: Prior research has suggested a possible connection between vaccination and manifestations of Sickness Behavior; however, a need remains to first delve deeper into this association and second examine how Interoceptive Awareness and emotional factors may modulate individuals' perceptions of their health status post vaccination. METHOD: An online retrospective cross-sectional survey of 647 individuals who received a COVID-19 vaccination was conducted. Together with vaccination side effects, socio-demographic characteristics, health status, level of concern about vaccination, and Interoceptive Awareness were collected at the baseline level. Mood, sleep, and Sickness Behavior were assessed at baseline and after vaccination. Data were analyzed using inferential statistics and machine learning techniques. RESULTS: After vaccination, there was a significant increase in Sickness Behavior levels (mean (±SD) SicknessQ T0 = 1.57 (±2.72), mean (±SD) SicknessQ T1 = 5.54 (±5.51); p-value = 0.001; ES = 0.77). A Machine Learning analysis revealed specific patterns of individual dispositions (sex and age), baseline emotional characteristics (levels of depression, anxiety, stress, and concern about adverse reactions), as well as some components of Interoceptive Awareness (Noticing, Body Listening, and Attention Regulation), as predictors of high levels of Sickness Behavior, both in terms of overall scores (JRIP: 72.65% accuracy, AUC = 0.692, d = 0.709; F1 = 0.726) and individual items (JRIP: 75.77% accuracy, AUC = 0.694; d = 0.717; F1 = 0.754). CONCLUSIONS: Our results provide new insight into post-immune reactions by highlighting the contribution of Interoceptive Awareness in modulating the severity of Sickness Behavior. This sheds light on the role of awareness of bodily sensations in modulating perceptions of health status, helping to identify the characteristics that make individuals more prone to feeling sick.

Poor Sleep Quality May Independently Predict Suicidal Risk in Covid-19 Survivors: A 2-Year Longitudinal Study.

Objective: Multiple symptoms of psychiatric, neurological, and physical illnesses may be part of Post-COVID conditions and may pose COVID-19 survivors a high suicidal risk. Accordingly, we aimed to study factors contributing to suicidal risk in Post COVID-19 patients. Method: Consecutive patients with post COVID-19 conditions were followed for 2 years at the University Hospital of Ferrara at baseline (T0), 6 (T1), 12 (T2), and 24 (T3) months. Demographics, and clinical data for all patients included: disease severity, hospital length of stay, comorbidity, clinical complications, sleep quality, cognitive complaints, anxiety and stress-related symptoms, depressive symptoms, and suicidal ideation. Results: The final sample included 81 patients with post COVID survivors. The mean age was 64 + 10,6 years, 35,8% were females, 65,4% had medical comorbidities, and 69,1% had WHO severe form of COVID forms. At T0 more than 90% of patients showed poor sleep quality, 59.3% reported moderate/severe depressive symptoms, and 51.% experienced anxiety, 25.9% experienced post-traumatic stress symptoms. At T0 suicidal ideation, interested 6.1% and at T3 it increased to 7.4%. In the regression analysis, suicidal ideation at baseline was best predicted by poor sleep quality (O.R. 1.71, p=0.044) and, after 2 years, suicidal ideation was best predicted by poor sleep quality experienced at baseline (OR 67.3, p=0.001). Conclusions: Poor sleep quality may play as an independent predictor of suicidal risk in post-COVID survivors. Evaluating and targeting sleep disturbances in COVID survivors is important to prevent the consequences of disrupted sleep in mental health.

The Consciousness State of Traditional Nidrâ Yoga/Modern Yoga Nidra: Phenomenological Characterization and Preliminary Insights from an EEG Study.

Nidrâ yoga is an ancient yogic practice capable of inducing altered states of consciousness characterized by deep relaxation, strong concentration, acute self-awareness, and joy. In modern contemplative neuroscience language, it is known by the name yoga nidra, and few studies have investigated its phenomenological and psychophysiological effects. Six healthy volunteers (four females aged 31-74) performed 12 yoga nidra sessions guided by an expert during a 6-day retreat. Each session consisted of 10 minutes in a resting state (baseline) followed by 2 hours of yoga nidra. Psychometric data regarding dissociative experiences (Clinician Administered Dissociative States Scale) and the state of consciousness (Phenomenology of Consciousness Inventory) were collected after baseline and yoga nidra, while high-density EEG was recorded during the entire session. During nidra sessions, no sleep hallmarks (i.e., K-complexes and sleep spindles) were detected by the EEG in any subject. Psychometric data we re analyzed using a Wilcoxon signed-rank test corrected with the false discovery rate approach for multiple comparisons. Compared to baseline, yoga nidra practice was related to: (1) increased dissociative effects (p = 0.022); (2) perception of being in an altered state of consciousness (p = 0.026); (3) alterations in perceived body image (p = 0.022); (4) increased "meaningfulness" attributed to the experience (p = 0.026); (5) reduced rational thinking (p = 0.029); and (6) reduced volitional thought control (p = 0.026). First-person experience is discussed in relation to descriptive EEG power spectral density analysis, which was performed in one subject because of severe EEG artifacts in the other recordings; that subject showed, compared to baseline: (1) early increase of alpha and beta power, followed by a progressive widespread reduction; (2) widespread early increase of theta power, followed by a progressive reduction; and (3) widespread increase of gamma power in the latest stages. The present preliminary results enrich the knowledge of yoga nidra, elucidating its phenomenology and suggesting some psychophysiological correlates that future studies may address.

Healthy aging: the INTECMAN project.

Aging is associated not only with the reduction of psychophysical and sensory capacities but also with different types of neurodegenerative disorders up to dementia manifestations. Aging in health and self-sufficiency is strictly dependent on the prevention and correction of factors that may determine reduction of psychophysical capacities (e.g., cardiovascular, locomotor and neurodegenerative ones). To reach this goal, due to the dynamics of social and family changes and to the aging of the population, health professionals can be supported by technologies which provide noninvasive monitoring of physiologic parameters and rely on telemedicine, both instruments of support and care for better aging in the home setting. The authors, starting from the initial idea of a personalized monitoring of different psychophysical variables, defined a pilot study to assess the role of a 12-month individually tailored lifestyle counseling on parameters of mild cognitive impairment in a group of elderly subjects. Data derived from the applied approach appeared promising and may open the road to the possible implementation of individual counseling, based on multiparametric non-obtrusive technologies which take into consideration both psychological and physical aspects, to be followed in the home environment.