Non-Suicidal Self-Injury (NSSI) Patterns in Adolescents from a Romanian Child Psychiatry Inpatient Clinic.

Non-Suicidal Self-Injury (NSSI) involves deliberately causing harm to one's body without the intention of suicide. As the numbers of adolescents presenting NSSI have been steadily increasing during the last years, we intended to investigate adolescent patients exhibiting NSSI, admitted to our clinic-a Romanian child psychiatry inpatient clinic, over the course of five years. A total of 100 adolescents (80 females, 20 males, mean age: 14.9 years) hospitalized for various neuropsychiatric disorders and engaging in self-harm were studied. The self-harm methods most frequently used in our sample were, for the female group: cutting (all), skin tearing (76%), scratching/pinching (72%), and for males: cutting (all), wound-healing hindrance (85%), striking objects (80%). The initial motivations for NSSI were represented by distress (females 89%, males 90%) and seeking pleasure (females 84%). In terms of the roles of NSSI, it was primarily used for emotional regulation (females 89%) and anger management (males 90%). This study highlights the prevalence of self-harm in hospitalized adolescents, differences in methods and motivations between genders, and the need for more targeted therapy interventions. By documenting trends, investigating underlying motivations and functions, and proposing hypotheses for further research, our findings offer valuable insights on adolescent NSSI and have the potential to increase awareness among various clinicians and specialists who interact with adolescents, thus addressing the escalating prevalence of self-harm behaviours among teenagers.

Cognitive Coping Strategies among Inpatient Adolescents with Depression and Psychiatric Comorbidity.

The aim of the present study is to describe and measure the cognitive emotion regulation strategies of inpatient adolescents with clinical depression, aged 13-18, and to analyse these coping strategies in relation to different comorbidities of Major Depressive Disorder (MDD). METHODS: There were 112 adolescents with MDD who were admitted to hospital and 78 healthy adolescents included in the study. The Cognitive Emotion Regulation Questionnaire (CERQ) was used to assess nine specific cognitive coping strategies. A cognitive coping style model for depression in adolescents was described by analysing the differences between the two groups. The CERQ scores in MDD participants, grouped by comorbidity, were also assessed. RESULTS: Adolescents with MDD had significantly higher scores for Self-Blame and Catastrophising strategies, and significantly lower scores for Positive Refocusing, Refocusing on Planning, and Positive Reappraisal. Adolescents with MDD and Borderline Personality Disorder (BPD) traits had significantly higher scores for Rumination, Catastrophising, and Blaming Others than adolescents with MDD and anxiety or with no comorbidity. CONCLUSIONS: Clinical depression in adolescents is associated with a cognitive profile that consists of an increased use of maladaptive coping styles and low employment of adaptive strategies. Early identification can contribute to the development of specific, individualised prevention and intervention programmes, while further longitudinal studies are necessary to adequately measure the outcome of these interventions.

Bidirectional genetic overlap between autism spectrum disorder and cognitive traits.

Autism spectrum disorder (ASD) is a highly heritable condition with a large variation in cognitive function. Here we investigated the shared genetic architecture between cognitive traits (intelligence (INT) and educational attainment (EDU)), and risk loci jointly associated with ASD and the cognitive traits. We analyzed data from genome-wide association studies (GWAS) of INT (n = 269,867), EDU (n = 766,345) and ASD (cases n = 18,381, controls n = 27,969). We used the bivariate causal mixture model (MiXeR) to estimate the total number of shared genetic variants, local analysis of co-variant annotation (LAVA) to estimate local genetic correlations, conditional false discovery rate (cond/conjFDR) to identify specific overlapping loci. The MiXeR analyses showed that 12.7k genetic variants are associated with ASD, of which 12.0k variants are shared with EDU, and 11.1k are shared with INT with both positive and negative relationships within overlapping variants. The majority (59-68%) of estimated shared loci have concordant effect directions, with a positive, albeit modest, genetic correlation between ASD and EDU (rg = 0.21, p = 2e-13) and INT (rg = 0.22, p = 4e-12). We discovered 43 loci jointly associated with ASD and cognitive traits (conjFDR<0.05), of which 27 were novel for ASD. Functional analysis revealed significant differential expression of candidate genes in the cerebellum and frontal cortex. To conclude, we quantified the genetic architecture shared between ASD and cognitive traits, demonstrated mixed effect directions, and identified the associated genetic loci and molecular pathways. The findings suggest that common genetic risk factors for ASD can underlie both better and worse cognitive functioning across the ASD spectrum, with different underlying biology.

Diagnosis stability and outcome of psychotic episodes in a Romanian group of children and adolescents.

Studies on early onset schizophrenia are limited because of their low prevalence but the reported results stated that early onset is associated with a poorer outcome. The present research analyzed the stability rate of the psychotic-related disorders from childhood to adult life. The study was based on an observational, retrospective, descriptive analysis study. The subjects were selected from patients admitted to the pediatric psychiatry ward of "Alexandru Obregia" Psychiatry Hospital between 2009 and 2018 for a psychosis-related disorder, who were 18 years or older at the moment of data collection and who also had admissions into the adult's psychiatry wards of the hospital. Of the 115 subjects, 93, representing 80.87% of the total, maintained a diagnosis of psychotic spectrum disorder into adulthood. The diagnosis was maintained in 82.4% of cases with onset before 13 years old and 80.6% of cases with onset after the age of 13 years of age. Of the 42 subjects who presented affective symptoms during childhood, 71.43% also presented affective symptoms into adulthood. These findings indicate an important stability rate of psychosis from childhood and adulthood and come in accordance with the theory of overlap between psychotic and affective disorders. The results underline the importance of an accurate diagnosis of early and very early onset schizophrenia (VEOS), the need for early and multimodal intervention, but also the need for long-term management of these patients and continuing research regarding psychotic-related disorders in children and adolescents.

Determinants of satisfaction with the detection process of autism in Europe: Results from the ASDEU study.

LAY ABSTRACT: Professional guidance and support in response to first concerns appears to be an important predictor of the level of satisfaction with the detection process of autism in young children. In this study, we analyzed the views of 1342 family members, including 1278 parents, who completed an online survey form collecting information about their experience and satisfaction with the early detection of autism in their child. Specifically, we were interested in how specific experiences with the detection process relate to the satisfaction with it and whether we could identify important predictors of satisfaction. The detection process is an emotionally charged period for parents, often described as painful, chaotic, and lengthy. A better understanding of their experiences is important to take appropriate action to improve the detection process. In our sample, the level of satisfaction with the detection process varied greatly from one respondent to another. Among the different experiences we considered, whether or not respondents received professional guidance and support in response to first concerns explained most of this variation. We also found that difficulty finding information about detection services, lack of professional guidance and support in response to first concerns, having to find a diagnostic service on one's own, and longer delays between confirmation of concerns and first appointment with a specialist were experiences associated with a greater likelihood of being unsatisfied. The findings of this study highlight the importance of the parent-professional relationship in the detection process and have important practical implications for health administrations to improve the detection process.

Early Detection, Diagnosis and Intervention Services for Young Children with Autism Spectrum Disorder in the European Union (ASDEU): Family and Professional Perspectives.

Early services for ASD need to canvas the opinions of both parents and professionals. These opinions are seldom compared in the same research study. This study aims to ascertain the views of families and professionals on early detection, diagnosis and intervention services for young children with ASD. An online survey compiled and analysed data from 2032 respondents across 14 European countries (60.9% were parents; 39.1% professionals). Using an ordinal scale from 1 to 7, parents' opinions were more negative (mean = 4.6; SD 2.2) compared to those of professionals (mean = 4.9; SD 1.5) when reporting satisfaction with services. The results suggest services should take into account child's age, delays in accessing services, and active stakeholders' participation when looking to improve services.

Correction to: Early Detection, Diagnosis and Intervention Services for Young Children with Autism Spectrum Disorder in the European Union (ASDEU): Family and Professional Perspectives.

The original version of this article unfortunately contained a mistake in one of the co-author's family name. The correct name should be María Victoria Martín-Cilleros instead of María Victoria Cilleros-Martín.

Myalgic encephalomyelitis/chronic fatigue Syndrome (ME/CFS): Investigating care practices pointed out to disparities in diagnosis and treatment across European Union.

ME/CFS is a chronic, complex, multisystem disease that often limits the health and functioning of the affected patients. Diagnosing patients with ME/CFS is a challenge, and many different case definitions exist and are used in clinical practice and research. Even after diagnosis, medical treatment is very challenging. Symptom relief and coping may affect how patients live with their disease and their quality of life. There is no consensus on which diagnostic criteria should be used and which treatment strategies can be recommended for patients. The purpose of the current project was to map the landscape of the Euromene countries in respect of national guidelines and recommendations for case definition, diagnosis and clinical approaches for ME/CFS patients. A 23 items questionnaire was sent out by email to the members of Euromene. The form contained questions on existing guidelines for case definitions, treatment/management of the disease, tests and questionnaires applied, and the prioritization of information for data sampling in research. We obtained information from 17 countries. Five countries reported having national guidelines for diagnosis, and five countries reported having guidelines for clinical approaches. For diagnostic purposes, the Fukuda criteria were most often recommended, and also the Canadian Consensus criteria, the International Consensus Criteria and the Oxford criteria were used. A mix of diagnostic criteria was applied within those countries having no guidelines. Many different questionnaires and tests were used for symptom registration and diagnostic investigation. For symptom relief, pain and anti-depressive medication were most often recommended. Cognitive Behavioral Therapy and Graded Exercise treatment were often recommended as disease management and rehabilitative/palliative strategies. The lack of consistency in recommendations across European countries urges the development of regulations, guidance and standards. The results of this study will contribute to the harmonization of diagnostic criteria and treatment for ME/CFS in Europe.

Biophysical Psychiatry-How Computational Neuroscience Can Help to Understand the Complex Mechanisms of Mental Disorders.

The brain is the most complex of human organs, and the pathophysiology underlying abnormal brain function in psychiatric disorders is largely unknown. Despite the rapid development of diagnostic tools and treatments in most areas of medicine, our understanding of mental disorders and their treatment has made limited progress during the last decades. While recent advances in genetics and neuroscience have a large potential, the complexity and multidimensionality of the brain processes hinder the discovery of disease mechanisms that would link genetic findings to clinical symptoms and behavior. This applies also to schizophrenia, for which genome-wide association studies have identified a large number of genetic risk loci, spanning hundreds of genes with diverse functionalities. Importantly, the multitude of the associated variants and their prevalence in the healthy population limit the potential of a reductionist functional genetics approach as a stand-alone solution to discover the disease pathology. In this review, we outline the key concepts of a "biophysical psychiatry," an approach that employs large-scale mechanistic, biophysics-founded computational modelling to increase transdisciplinary understanding of the pathophysiology and strive toward robust predictions. We discuss recent scientific advances that allow a synthesis of previously disparate fields of psychiatry, neurophysiology, functional genomics, and computational modelling to tackle open questions regarding the pathophysiology of heritable mental disorders. We argue that the complexity of the increasing amount of genetic data exceeds the capabilities of classical experimental assays and requires computational approaches. Biophysical psychiatry, based on modelling diseased brain networks using existing and future knowledge of basic genetic, biochemical, and functional properties on a single neuron to a microcircuit level, may allow a leap forward in deriving interpretable biomarkers and move the field toward novel treatment options.