Psychotic relapse prediction via biomarker monitoring: a systematic review.

Background: Associating temporal variation of biomarkers with the onset of psychotic relapse could help demystify the pathogenesis of psychosis as a pathological brain state, while allowing for timely intervention, thus ameliorating clinical outcome. In this systematic review, we evaluated the predictive accuracy of a broad spectrum of biomarkers for psychotic relapse. We also underline methodological concerns, focusing on the value of prospective studies for relapse onset estimation.

Psychopathological Profile of Patients with Moderate-to-Severe Plaque Psoriasis and Its Correlation to DLQI: Results from a Prospective, Monocentric Clinical Study.

: Psoriasis is associated with a high psychological burden and comorbidities, such as depression and anxiety. The aim of this study was to evaluate the psychopathological profile of patients with moderate-to-severe plaque psoriasis under systemic treatment and to explore the association between DLQI and alexithymia, depression, and other psychopathological disorders. : In this monocentric, prospective clinical study, 104 adult patients with moderate-to-severe plaque psoriasis were evaluated according to the disease severity (measured by PASI) influence of psoriasis on their quality of life (measured by DLQI) and their psychopathological profile (measured by the BDI, TAS-20, and SCL-90 questionnaires).

Correlation of Psychosomatic Factors and Personality Traits With the Severity of Melanoma.

Background/aim: Melanoma, as a type of skin cancer, has undoubtedly gathered the interest of the global community in recent years, due to its rising incidence. Patients suffering from melanoma experience effects on their mental health, mainly depression and anxiety disorders. The present study aimed to examine the association of melanoma with the psychosomatic burden, personality traits, and demographic factors of the participants.

The dissociating effects of fear and disgust on multisensory integration in autism: evidence from evoked potentials.

Background: Deficits in Multisensory Integration (MSI) in ASD have been reported repeatedly and have been suggested to be caused by altered long-range connectivity. Here we investigate behavioral and ERP correlates of MSI in ASD using ecologically valid videos of emotional expressions.

Methods: In the present study, we set out to investigate the electrophysiological correlates of audiovisual MSI in young autistic and neurotypical adolescents.

Vitriol attack on a young woman in Greece: The story of Ioanna's response.

An acid attack is a deliberate act of violence. Sulphuric acid is thrown at a person's face and body with the intention of harming and disfiguring the victim. Sulphuric acid is a dangerous weapon which can cause very serious injuries including severe skin damage, blindness, significant disfigurement and/or permanent disability.

Machine learning-enabled detection of attention-deficit/hyperactivity disorder with multimodal physiological data: a case-control study.

Background: Attention-Deficit/Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental psychiatric condition that typically emerges during childhood but often persists into adulthood, significantly impacting individuals' functioning, relationships, productivity, and overall quality of life. However, the current diagnostic process exhibits limitations that can significantly affect its overall effectiveness. Notably, its face-to-face and time-consuming nature, coupled with the reliance on subjective recall of historical information and clinician subjectivity, stand out as key challenges.

Effectiveness of remote neuropsychological interventions: A systematic review.

Objective: Remote healthcare services is an upgrowing dynamic field that has been used to reduce potential disease spread and prevent overloading of the healthcare system during COVID-19 pandemic. The need for online interventions during the pandemic required immediate response with sometimes inadequate preparation. The aim of the present study is to investigate the effectiveness of remote healthcare services in the field of neuropsychological interventions.

Using Electroencephalogram-Extracted Nonlinear Complexity and Wavelet-Extracted Power Rhythm Features during the Performance of Demanding Cognitive Tasks (Aristotle's Syllogisms) in Optimally Classifying Patients with Anorexia Nervosa.

Anorexia nervosa is associated with impaired cognitive flexibility and central coherence, i.e., the ability to provide an overview of complex information.

Human cortical neurogenesis is altered via glucocorticoid-mediated regulation of ZBTB16 expression.

Glucocorticoids are important for proper organ maturation, and their levels are tightly regulated during development. Here, we use human cerebral organoids and mice to study the cell-type-specific effects of glucocorticoids on neurogenesis. We show that glucocorticoids increase a specific type of basal progenitors (co-expressing PAX6 and EOMES) that has been shown to contribute to cortical expansion in gyrified species.

Multisensory integration deficits in Schizophrenia and Autism evidenced in behaviour but not event related potentials.

The process of integrating information from different sensory channels, known as multisensory integration (MSI) was assessed in two disorders, Autism Spectrum Disorder (ASD) and Schizophrenia (SCZ). 32 healthy controls (HC), 35 SCZ patients, and 23 ASD patients performed an audiovisual (AV) synchronous target detection task while reaction time (RT) and scalp recorded electrophysiological (EEG) activity were measured. MSI in the AV condition resulted in faster and less variable RTs compared to the unimodal conditions.

Brain multi-contrast, multi-atlas segmentation of diffusion tensor imaging and ensemble learning automatically diagnose late-life depression.

We investigated the potential of machine learning for diagnostic classification in late-life major depression based on an advanced whole brain white matter segmentation framework. Twenty-six late-life depression and 12 never depressed individuals aged > 55 years, matched for age, MMSE, and education underwent brain diffusion tensor imaging and a multi-contrast, multi-atlas segmentation in MRIcloud. Fractional anisotropy volume, mean fractional anisotropy, trace, axial and radial diffusivity (RD) extracted from 146 white matter parcels for each subject were used to train and test the AdaBoost classifier using stratified 12-fold cross validation.

A Digital Mental Health Support Program for Depression and Anxiety in Populations With Attention-Deficit/Hyperactivity Disorder: Feasibility and Usability Study.

Background: A total of 1 in 2 adults with attention-deficit/hyperactivity disorder (ADHD) struggles with major depressive or anxiety disorders. The co-occurrence of these disorders adds to the complexity of finding utility in as well as adherence to a treatment option. Digital therapeutic solutions may present a promising alternative treatment option that could mitigate these challenges and alleviate symptoms.

The Consequentialist Scale: Translation and empirical investigation in a Greek sample.

The Consequentialist Scale (Robinson, 2012) [89] assesses the endorsement of consequentialist and deontological moral beliefs. This study empirically investigated the application of the Greek translation of the Consequentialist Scale in a sample of native Greek speakers. Specifically, 415 native Greek speakers completed the questionnaire.

Burnout Related to Diabetes Mellitus: A Critical Analysis.

Background: Diabetes burnout is a condition when a patient with diabetes feels tired from his/her disease and neglects it for a certain period or continuously.

Objective: Diabetes burnout is frequent, and there is extended literature about psychosocial stress and its negative effects on health.

Methods: A search for relevant studies was conducted using PubMed, Google Scholar and ResearchGate.

Health Related Quality of Life and Cardiovascular Risk Factors.

Cardiovascular diseases (CVD) is associated with deteriorating of quality of life (QOL) and exercise capacity (EC) but less is known on how EC interplays with QOL. The present study explores the relationship between quality of life and cardiovascular risk factors in people who present in cardiology clinics. A total of 153 adult presentations completed the SF-36 Health Survey and provided data for hypertension, diabetes mellitus, smoking, obesity, hyperlipidemia and history of coronary heart disease.

Unravelling brain connectivity patterns in body dysmorphic disorder during decision-making on visual illusions: A graph theoretical approach.

Body dysmorphic disorder (BDD) is characterized by an excessive preoccupation with perceived defects in physical appearance, and is associated with compulsive checking. Visual illusions are illusory or distorted subjective perceptions of visual stimuli, which are induced by specific visual cues or contexts. While previous research has investigated visual processing in BDD, the decision-making processes involved in visual illusion processing remain unknown.

Smartwatch digital phenotypes predict positive and negative symptom variation in a longitudinal monitoring study of patients with psychotic disorders.

Introduction: Monitoring biometric data using smartwatches (digital phenotypes) provides a novel approach for quantifying behavior in patients with psychiatric disorders. We tested whether such digital phenotypes predict changes in psychopathology of patients with psychotic disorders.

Methods: We continuously monitored digital phenotypes from 35 patients (20 with schizophrenia and 15 with bipolar spectrum disorders) using a commercial smartwatch for a period of up to 14 months.

Spatial and non-spatial feature binding impairments in visual working memory in schizophrenia.

Working memory (WM) impairments are well recognized in schizophrenia patients (PSZ) and contribute to poor psycho-social outcomes in this population. Distinct neural networks underlay the ability to encode and recall visual and spatial information raising the possibility that profile of visual working memory performance may help pinpoint dysfunctional neural correlates in schizophrenia. This study assessed the resolution and associative aspects of visual working memory deficits in schizophrenia and whether these deficits arise during encoding or maintenance processes.

Research models of neurodevelopmental disorders: The right model in the right place.

Neurodevelopmental disorders (NDDs) are a heterogeneous group of impairments that affect the development of the central nervous system leading to abnormal brain function. NDDs affect a great percentage of the population worldwide, imposing a high societal and economic burden and thus, interest in this field has widely grown in recent years. Nevertheless, the complexity of human brain development and function as well as the limitations regarding human tissue usage make their modeling challenging.

Metabolic regulation of the neural stem cell fate: Unraveling new connections, establishing new concepts.

The neural stem cell niche is a key regulator participating in the maintenance, regeneration, and repair of the brain. Within the niche neural stem cells (NSC) generate new neurons throughout life, which is important for tissue homeostasis and brain function. NSCs are regulated by intrinsic and extrinsic factors with cellular metabolism being lately recognized as one of the most important ones, with evidence suggesting that it may serve as a common signal integrator to ensure mammalian brain homeostasis.

E-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analyzing Long-Term Multimodal Data from Wearables and Video Captures.

Wearable technologies and digital phenotyping foster unique opportunities for designing novel intelligent electronic services that can address various well-being issues in patients with mental disorders (i.e., schizophrenia and bipolar disorder), thus having the potential to revolutionize psychiatry and its clinical practice.

Evidence towards a continuum of impairment across neurodevelopmental disorders from basic ocular-motor tasks.

Findings of genetic overlap between Schizophrenia, Attention-Deficit/Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) contributed to a renewed conceptualization of these disorders as laying on a continuum based on aetiological, pathophysiological and neurodevelopmental features. Given that cognitive impairments are core to their pathophysiology, we compared patients with schizophrenia, ADHD, ASD, and controls on ocular-motor and manual-motor tasks, challenging crucial cognitive processes. Group comparisons revealed inhibition deficits common to all disorders, increased intra-subject variability in schizophrenia and, to a lesser extent, ADHD as well as slowed processing in schizophrenia.

Exploring the adult sexual wellbeing and behavior during the COVID-19 pandemic. A systematic review and meta-analysis.

Implemented social distancing measures may have forestalled the spread of COVID-19, yet they suppressed the natural human need for contact. The aim of this systematic review was to explore the impact of the COVID-19 pandemic on adult sexual wellbeing and sexual behavior. An extensive search in Pubmed, Scopus, and PsycInfo databases based on PRISMA guidelines was conducted.

COVID-19 Vaccination and Mental Health Outcomes among Greek Adults in 2021: Preliminary Evidence.

Existing research on the association between COVID-19 vaccination and quantitatively measured mental health outcomes is scarce. We conducted a cross-sectional telephone survey on a random sample of 1039 adult Greek citizens in June 2021. Among the participants, 39.