Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes.

This article considers the problem of classifying individuals in a dataset of diverse psychosis spectrum conditions, including persons with subsyndromal psychotic-like experiences (PLEs) and healthy controls. This task is more challenging than the traditional problem of distinguishing patients with a diagnosed disorder from controls using brain network features, since the neurobiological differences between PLE individuals and healthy persons are less pronounced. Further, examining a transdiagnostic sample compared to controls is concordant with contemporary approaches to understanding the full spectrum of neurobiology of psychoses. We consider both support vector machines (SVMs) and graph convolutional networks (GCNs) for classification, with a variety of edge selection methods for processing the inputs. We also employ the MultiVERSE algorithm to generate network embeddings of the functional and structural networks for each subject, which are used as inputs for the SVMs. The best models among SVMs and GCNs yielded accuracies >63%. Investigation of network connectivity between persons with PLE and controls identified a region within the right inferior parietal cortex, called the PGi, as a central region for communication among modules (network hub). Class activation mapping revealed that the PLE group had salient regions in the dorsolateral prefrontal, orbital and polar frontal cortices, and the lateral temporal cortex, whereas the controls did not. Our study demonstrates the potential usefulness of deep learning methods to distinguish persons with subclinical psychosis and diagnosable disorders from controls. In the long term, this could help improve accuracy and reliability of clinical diagnoses, provide neurobiological bases for making diagnoses, and initiate early intervention strategies.

Sex-specific association between schizophrenia polygenic risk and subclinical schizophrenia-related traits.

BACKGROUND: According to the dimensional view of psychiatric disorders, psychosis is expressed as a continuum in the general population. However, the investigation of the putative genetic aetiological continuity between its clinical and subclinical phenotypes has yielded mixed results. We aimed to replicate previous findings regarding the association of polygenic risk for schizophrenia with subclinical traits (i.e., schizotypy traits and psychotic-like experiences), and to examine the role of sex in this association in a large nonclinical sample. METHODS: The Multidimensional Schizotypy Scale and the Community Assessment of Psychic Experiences were assessed in 919 nonclinical participants. Polygenic Risk Scores for schizophrenia (SZ-PRSs) were computed using the PRS-CS method based on the latest genome-wide association study of schizophrenia. Summary statistics derived from the total GWAS sample and stratified by sex were used. Linear regression analyses tested the associations of the SZ-PRSs with the psychometric variables, both in the total sample and by sex. RESULTS: No associations were found between the SZ-PRSs and the positive, negative or disorganized dimensions of schizotypy in the total sample. Likewise, no associations were found with psychotic-like experiences. However, the sex-stratified analyses revealed a male-specific association with positive schizotypy. Similar results were obtained with the PRSs derived from the sex-stratified summary statistics. DISCUSSION: Our results are consistent with the lack of clear evidence of an association between SZ common genetic risk and its subclinical phenotypes. Nevertheless, the male-specific association found suggests that this PRS might explain better the male phenotype, as reported in previous studies. Future studies should put a focus on the role of sex in this association to unravel its sex specificities.

Prevalence of psychotic-like experiences and their association with depression symptoms among patients entering adolescent psychiatric care.

BACKGROUND: Psychotic-like experiences (PLEs) are common in clinical adolescent samples and form a continuum based on their frequency and intensity. PLEs can have harmful effects on both behaviour and affect. METHODS: Prevalence and subjective distress due to PLEs were assessed with the Prodromal Questionnaire-Brief (PQ-B) and depressive symptoms with the Beck Depression Inventory (BDI-21A) among adolescents (N = 399; 71.7% female, mean age 14.9 years, range 13-18) entering specialized adolescent psychiatric services. Various PQ-B Distress scale cut-off points were tested for their ability to detect high and low BDI scores using the superiority index, the effect size for mean difference, and spline regressions. RESULTS: The mean number of endorsed PLEs assessed with the PQ-B was 3.27 (SD 3.64; males: M 1.75; SD 2.78; females: M 3.89; SD 3.78), while mean PQ-B Distress scores were 20.33 (SD 18.03; males: M 11.84; SD 13.90; females: M 23.74; SD 18.40). The most common PLE within both genders were experiences of paranoia and suspiciousness, with a prevalence of 59.9%. BDI scores and PQ-B distress scores were strongly associated (r = 0.534, p<.001). Superiority indices, effect sizes, and spline regressions indicated that a low PQ-B Distress cut-off of 2 or 3 was most informative both when using BDI as a continuous variable and when dichotomized as mild depression (≥10) or major depressive disorder (≥16). CONCLUSION: PLEs are common among adolescent entering psychiatric care. Even a relatively small amount of distress due to PLEs indicates clinical levels of depressive symptoms.

Exploring the associations between momentary cortisol levels and psychotic-like experiences in young adults: Results from a temporal network analysis of daily-life data.

Dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis has been implicated in the development of psychosis and subthreshold psychotic symptoms commonly referred to as psychotic-like experiences (PLEs). The exact mechanisms linking the HPA axis responses with the emergence of PLEs remain unknown. The present study aimed to explore real-life associations between stress, negative affect, salivary cortisol levels (a proxy of the HPA axis activity) as well as PLEs together with their underlying cognitive biases (i.e., threat anticipation and aberrant salience). The study was based on the experience sampling method scheduled over 7 consecutive days in the sample of 77 drug-naïve, young adults (18-35 years). The saliva samples were collected with each prompt to measure cortisol levels. A temporal network analysis was used to explore the directed associations of tested variables. Altogether, 3234 data entries were analyzed. Data analysis revealed that salivary cortisol levels did not directly predict next-moment fluctuations of PLEs. However, higher salivary cortisol levels were associated with higher next-moment levels of PLEs through the effects on threat anticipation and negative affect. In turn, PLEs appeared to predict cortisol levels through the effects on negative affect and event-related stress. Negative affect and threat anticipation were the most central nodes in the network. There might be bidirectional associations between the HPA axis responses and PLEs. Threat anticipation and negative affect might be the most important mediators of these associations. Interventions targeting these mediators might hold promise for disrupting the connection between the HPA axis dysregulation and PLEs.

The developmental and dynamic relationship between psychopathology and psychotic-like experiences trajectories in children and adolescents.

BACKGROUND: The previous cross-sectional and prospective studies have reported that psychopathology was associated with the occurrence of psychotic-like experiences (PLEs). However, few of these studies have examined this longitudinal association considering the different developmental trajectories of PLEs, as well as the growth or changes of psychopathology over time. METHODS: Four waves PLEs and psychopathology assessments from Adolescent Brain Cognitive Development (ABCD) study were used. The latent class growth modeling (LCGM) and latent growth curve modeling (LGCM) was used to assess latent PLEs class (group) and time-varying psychopathology, respectively. Lastly, the multinomial logistic regression model was used to examined the dynamic and developmental relationship between intercept/slope in psychopathology and different PLEs trajectories. RESULTS: Three PLEs trajectory classes were confirmed: low decreasing PLEs (84.7 %), persistent PLEs (7.01 %) and high decreasing PLEs trajectories (8.29 %). We also found that the intercept of anxious/depressed problems and total problems scales and the slope of social problems were associated with the persistent PLEs trajectory compared with the low decreasing PLEs trajectories, indicating both the early onset and the growth of psychopathology over time are needed to be clinical attention. LIMITATIONS: The CBCL as the sole outcome measure for psychopathology and a widely acknowledged definition for PLEs is lacking. We lacked the mechanisms underlying the current results. CONCLUSION: These longitudinal and dynamic results suggest that future intervention studies aimed at preventing the transition from persistent PLEs to psychotic disorders can focus on both the early onset and the growth of psychopathology over time.

Midwives' perspectives and perceptions in relation to perinatal psychotic-like experiences: a qualitative study.

BACKGROUND: Psychotic-like experiences (PLEs) refer to subclinical experiences consistent with psychosis that may include hearing, feeling or seeing things that others cannot, or experiencing unusual beliefs. These experiences appear to be more common during the perinatal period. There appear to be barriers which make it difficult for midwives to support mothers with mental health difficulties. However, it is important that midwives can provide support with PLEs. AIM: This study aimed to explore UK midwives' perspectives and perceptions relating to mothers' psychotic-like experiences in the perinatal period. METHODS: A qualitative study using semi-structured interviews with ten midwives recruited online was conducted. Transcripts were analysed using thematic analysis. RESULTS: Four themes were developed: (1) Identifying psychotic-like experiences would be complicated; (2) Psychotic-like experiences can feel overwhelming for women and midwives; (3) This is my responsibility: I'll do what I can to support women even if it's hard; and (4) The system feels unsafe and insecure which makes the anticipated role in supporting psychotic-like experiences harder. CONCLUSION: Midwives described their motivation to support mothers with PLEs but articulated many factors that made this difficult. The results emphasise the importance of training and guidance for midwives to support them being able to offer support and information to mothers. The findings also highlight the importance of systemic safety for midwives alongside support through supervision and reflective practice.

Bullying Victimization, Non-suicidal Self-injury, and Psychotic-like Experiences in Chinese Rural Adolescents: Exploring Transactional Associations.

Previous research has provided clues to the association between bullying victimization, non-suicidal self-injury (NSSI), and psychotic-like experiences (PLEs). However, these studies have been limited in their failure to examine both the directions of the associations and the underlying mediating mechanisms. Furthermore, there has been little investigation into the longitudinal associations among these variables in rural adolescents. This study aimed to address the aforementioned limitations by examining the bidirectional associations and the potential mediating mechanisms among bullying victimization, NSSI, and PLEs in a sample of Chinese rural adolescents. A total of 526 junior middle school students (42.6% males; average age = 14.62, SD = 1.15, age range = 12 to 16 years old) from a rural county in Guangdong province, China were recruited and assessed at three time points spanning one year. Cross-Lagged Panel Models (CLPMs) were employed to investigate the prospective focal longitudinal associations. CLPMs revealed that notable reciprocal associations were observed between bullying victimization and NSSI, as well as between NSSI and PLEs. Moreover, PLEs at Time 1 significantly predicted bullying victimization at Time 2. Additionally, only the indirect path from Time 1 PLEs to Time 3 bullying victimization via Time 2 NSSI was significant. This study sheds light on the bidirectional associations and underlying mediating mechanisms among bullying victimization, NSSI, and PLEs in rural adolescents. The findings highlight the importance of considering the complex interplay between these factors and the need for targeted interventions to address the mental health concerns in this population.

Social isolation and poor mental health in young people: testing genetic and environmental influences in a longitudinal cohort study.

We assessed genetic and environmental influences on social isolation across childhood and the overlap between social isolation and mental health symptoms including depression symptoms, conduct problems, and psychotic-like experiences from adolescence to young adulthood. Participants included 2,232 children from the Environmental Risk Longitudinal Twin Study. Social isolation was measured at ages 5, 7, 10, 12, and 18. A Cholesky decomposition was specified to estimate the genetic and environmental influences on social isolation across ages 5, 7, 10, and 12. An independent pathway model was used to assess additive genetic (A), shared environmental (C), and non-shared environmental (E) influences on the overlap between social isolation and mental health problems from age 12 to 18. Genetic and non-shared environmental influences accounted for half of the variance in childhood social isolation. Genetic influences contributed to the continuity of social isolation across childhood, while non-shared environmental influences were age-specific. The longitudinal overlap between social isolation and mental health symptoms was largely explained by genetic influences for depression symptoms (r = 0.15-0.24: 82-84% A, 11-12% C, and 5-6% E) and psychotic-like experiences (r = 0.13-0.15: 81-91% A, 0-8% C, and 9-11% E) but not conduct problems (r = 0.13-0.16; 0-42% A, 42-81% C, 16-24% E). Our findings emphasise that rather than a risk factor or an outcome, social isolation is aetiologically intertwined with the experience of poor mental health. An integrative assessment of social isolation could be a helpful indicator of underlying mental health symptoms in young people.

Do help-seeking adolescents report more psychotic-like experiences than young adults on the 16-item version of the prodromal questionnaire (PQ-16)?

AIM: To compare psychotic-like experiences (PLEs) in adolescents and young adults referred to the Mental Health Services (MHSs). METHODS: Participants scored the 16-item Prodromal Questionnaire (PQ-16) as part of the intake procedure. Data on the Diagnostic and Statistical Manual of Mental Disorders (DSM) classification and demographic data were collected. RESULTS: The PQ-16 was completed by 13 783 respondents (mean age 24.63 years, SD = 6.09; 62.6% female). Overall, the scores on the PQ-16 were not higher for adolescents (11-17 years; m = 4.84, SD = 3.62) than for young adults (18-35 years; m = 5.47, SD = 3.85). On PQ-16 item level, adolescents reported seeing and hearing things more than adults did. Across all age groups, males scored lower on the PQ-16 than females. Specifically, adolescent males scored lower than other participants. For adolescents and young adults alike, PQ-16 scores were higher for participants with borderline personality disorder, PTSD, and mood disorder than for those with other DSM classifications. CONCLUSIONS: Although help-seeking adolescents did not score higher on the PQ-16 than help-seeking young adults, more of them reported perceptual anomalies. Irrespective of age, participants with borderline personality disorder, PTSD and mood disorder scored higher on the PQ-16 than those with other DSM classifications.

Associations Between Genetic Risk, Physical Activities, and Distressing Psychotic-like Experiences.

BACKGROUND AND HYPOTHESIS: Persistent distressing psychotic-like experiences (PLE) are associated with impaired functioning and future psychopathology. Prior research suggests that physical activities may be protective against psychopathology. However, it is unclear whether physical activities may interact with genetics in the development of psychosis. STUDY DESIGN: This study included 4679 participants of European ancestry from the Adolescent Brain Cognitive Development Study. Persistent distressing PLE was derived from the Prodromal-Questionnaire-Brief Child Version using four years of data. Generalized linear mixed models tested the association between polygenic risk score for schizophrenia (PRS-SCZ), physical activities, and PLE. The models adjusted for age, sex, parental education, income-to-needs ratio, family history of psychosis, body mass index, puberty status, principal components for PRS-SCZ, study site, and family. STUDY RESULTS: PRS-SCZ was associated with a greater risk for persistent distressing PLE (adjusted relative risk ratio (RRR) = 1.14, 95% CI [1.04, 1.24], P = .003). Physical activity was associated with less risk for persistent distressing PLE (adjusted RRR = 0.87, 95% CI [0.79, 0.96], P = .008). Moreover, physical activities moderated the association between PRS-SCZ and persistent distressing PLE (adjusted RRR = 0.89, 95% CI [0.81, 0.98], P = .015), such that the association was weaker as participants had greater participation in physical activities. CONCLUSIONS: These findings demonstrate that the interaction between genetic liability and physical activities is associated with trajectories of distressing PLE. Further research is needed to understand the mechanisms of physical activities and genetic liability for schizophrenia in the development of psychosis.

Association of Anxiety/Depressive Symptoms with Psychotic-like Experiences: The Moderation Effect of Sex and Resilience.

BACKGROUND: Psychotic-like experiences (PLEs) are a part of the continuum of psychosis and are common in the general population. While most of these experiences are transient, they are strongly correlated with an increased risk of various adverse psychological outcomes. Anxiety and depressive symptoms also occur frequently in the adolescent population. Much research has previously demonstrated a correlation between these two symptoms and PLEs. However, few investigations have examined what influences this association, and sex and resilience may be important moderators. METHODS: This study selected a sample of first-year students from a university in Shanghai. A total of 2970 adolescents completed questionnaires measuring sociodemographic characteristics, anxiety/depressive symptoms by SCL-90, resilience by CD-RISC, and self-reported PLEs by PQ-16. RESULTS: The findings indicated that PLEs were prevalent in the sample, with at least one PQ-16 item present in 42.5% of individuals. Anxiety/depressive symptoms were significantly associated with PLEs, and there was a sex difference in this association (p < 0.001). What is more, this relationship was stronger in males than in females. Additionally, we found a significant interaction (p < 0.001) between resilience and anxiety/depressive symptoms when looking at the correlates of PLEs. Those with stronger resilience showed a considerably weaker connection between PLEs and symptoms of anxiety and depression. CONCLUSIONS: These findings can potentially inform the development of targeted new clinical interventions.

The Association between Attention-Deficit-Hyperactivity Disorder and Autistic Traits with Psychotic-like Experiences in Sample of Youths Who Were Referred to a Psychiatric Outpatient Service.

The aim of this study is to identify autism spectrum disorder (ASD) and attention-deficit-hyperactivity disorder (ADHD) traits in adolescents who experience psychotic-like experiences (PLEs), often ignored in clinical practice but widely prevalent in the general population. A total of 57 adolescents and young adults (aged between 16 and 24 years old) were recruited consecutively in the outpatient services. A total of 37 were females (64.9%), 18 were males (31.6%), and two participants (3.5%) were non-binary or gender non-conforming, with a mean age at referral of 18.26 ± 2.06. To investigate these symptoms, three sets of standardized questionnaires were used, as follows: the Autism Spectrum Quotient-short form (AQ-10), the Community Assessment of Psychic Experiences (CAPE-42), and the Adult ADHD Self-Report Scale (ASRS). We found significant associations between the ASRS and AQ-10 total scores and all CAPE scales. The model which explained the highest variance was CAPE Score's Total Frequency score (p < 0.001). Our findings underline the importance of investigating the presence of subthreshold ASD and ADHD symptoms in clinical populations, particularly in the period of adolescence and young adulthood, to promptly identify the presence of PLEs and, thus, prevent the onset of a frank psychotic disorder, particularly in the presence of a comorbid psychopathological condition, leading to better diagnosis and treatment for individuals with two or more of these conditions.

Reduced hippocampal volume unmasks distinct impacts of cumulative adverse childhood events (ACEs) on psychotic-like experiences in late childhood and early adolescence.

Stress is associated with increased vulnerability to psychosis, yet the mechanisms that contribute to these effects are poorly understood. Substantial literature has linked reduced hippocampal volume to both psychosis risk and early life stress. However, less work has explored the direct and indirect effects of stress on psychosis through the hippocampus in preclinical samples- when vulnerability for psychosis is accumulating. The current paper leverages the Adolescent Brain Cognitive Development (ABCD) Study sample to examine whether objective psychosocial stressors, specifically adverse childhood experiences (ACE), are linked to vulnerability for psychosis, measured by psychotic-like experiences (PLE) severity, in late childhood and early adolescence, both directly and indirectly through the deleterious effects of stress on the hippocampus. Baseline data from 11,728 individuals included previously examined and validated items to assess ACE exposure, hippocampal volume, and PLE severity - a developmentally appropriate metric of risk for psychosis. Objective psychosocial stress exposure in childhood was associated with elevated PLE severity during the transition from childhood to adolescence. Hippocampal volume was significantly reduced in individuals with greater PLE severity and greater childhood stress exposure compared to peers with low symptoms or low stress exposure. These findings are consistent with a hippocampal vulnerability model of psychosis risk. Stress exposure may cumulatively impact hippocampal volume and may also reflect a direct pathway of psychosis risk. Objective psychosocial stress should be considered as a treatment target that may impact neurodevelopment and psychosis risk.

Lifetime prevalence of psychotic-like experiences and associated factors in Chile.

INTRODUCTION: Psychotic-like experiences (PLEs), which include hallucinations and delusional experiences, are usually present in healthy populations, and their persistence, quality, and severity are associated with the development of psychiatric diseases, including schizophrenia and other poor psychosocial outcomes. Urbanicity, depression, and other psychosocial stressors have been associated with PLEs. However, evidence of PLEs in Latin American (LATAM) countries is still scarce, and there are no studies about PLEs in Chile. The main aim of this study is to describe the prevalence of PLEs in a nationally representative sample according to other social determinants of health. METHODS: The last results of the Chilean National Health Survey (ENS 2016-2017) were analyzed. PLEs were obtained from the Composite International Diagnostic Interview (CIDI) 3.0 and included in this survey. Other psychosocial variables (age, sex, educational level, financial stress, depressive symptoms, and urbanicity) were also included for further analysis. Exclusion criteria were (1) > = 65 and < 18 years old, and (2) previous diagnosis or treatment for schizophrenia or bipolar disorder. Descriptive statistics were used to describe data, and Poisson regression models were performed to weight variables and find psychosocial correlations with PLEs. RESULTS: 2095 subjects were considered for this study (women 62.9% and mean age = 42.5, SD = 13.5). The lifetime prevalence of the PLEs (> = 1 PLE) in Chile was 12.9%. Visual hallucinations were the most common PLE (9.6%), and ideas of reference were the least common (0.4%). The Poisson regression model showed a higher prevalence of PLEs in the Gran Concepción conurbation (OR = 2.56) and Gran Valparaíso conurbation (OR = 1.69) compared with non-big cities. On the other hand, the 18-24 year group had higher PLEs prevalence compared to other age groups. No correlations were found with educational status, financial stress, or depressive symptoms. CONCLUSIONS: A relatively high prevalence of PLEs was found in the Chilean general population, particularly in youth living in large urban areas (Gran Valparaíso and Gran Concepción), which is compatible with previous research. Considering that there were no correlations between low educational level and financial or depressive symptoms, it is necessary to have more studies that correlate other urban relevant variables, such as natural disasters, drug consumption, and domestic or neighborhood violence.

Mechanisms mediating ethnoracial discrimination and suspiciousness in Asian, Black, and Hispanic United States college students.

BACKGROUND: Despite the robust relationship between ethnoracial discrimination and positive psychotic-like experiences (PLEs) like subclinical suspiciousness in adulthood, the underlying mechanisms remain underexamined. Investigating the mechanisms previously implicated in trauma and positive PLEs - including negative-self schemas, negative-other schemas, perceived stress, dissociative experiences, and external locus of control - may inform whether ethnoracial discrimination has similar or distinct effects from other social stressors. METHOD: We examined the indirect effects of experiences of discrimination (EOD) to suspicious PLEs and total positive PLEs through negative-self schemas, negative-other schemas, perceived stress, dissociative experiences, and external locus of control in Asian (nAsian = 268), Black (nBlack = 301), and Hispanic (nHispanic = 129) United States college students. RESULTS: Among Asian participants, results indicated a significant indirect effect of EOD to suspicious PLEs and EOD to positive PLEs via perceived stress, and EOD to positive PLEs via negative-self schemas. Among Hispanic participants, results indicated a significant indirect effect of EOD to suspicious PLEs and EOD to positive PLEs via dissociative experiences. No mechanisms appeared significant in Black participants nor were any significant direct effects observed across models, despite them reporting significantly greater experiences of ethnoracial discrimination. CONCLUSIONS: Our findings suggest some shared but potentially distinct mechanisms contribute to increased suspicious PLEs and positive PLEs in Asian, Black, and Hispanic college students, with results differing by group, compared to the mechanisms underlying trauma and positive PLEs, with implications for the treatment of PLEs in college students exposed to ethnoracial discrimination.

Loneliness and psychotic-like experiences in middle-aged and older adults: the mediating role of selective attention to threat and external attribution biases.

OBJECTIVES: Loneliness has been associated with psychotic-like experiences (PLEs) in the general population, but the mechanisms underlying this association are poorly understood. Theoretical models, corroborated by empirical findings, signify the key role of biased cognition in both loneliness and psychosis. This study tested whether two cognitive biases - Selective Attention to Threat (ATB) and External Attribution Bias (EAB) - account for the association between loneliness and PLEs. METHOD: A convenience sample (n = 357) of middle-aged and older adults (aged 40+) was recruited online from the UK population. The parallel mediation model with two the aforementioned cognitive biases as mediators was tested. RESULTS: A mediation effect between loneliness and PLEs via ATB (ab1 = 0.441, 95% CI = [0.264, 0.646]) and EAB (ab2 = 0.354, 95% CI [0.124, 0.627] was established. This model remained significant after controlling for the current symptoms of anxiety and depression. CONCLUSION: Greater loneliness was associated with a higher rate of PLEs in the sample of middle-aged and older adults. This association was fully explained by ATB and EAB, independent of the current symptoms of anxiety and depression.

Bifactor models of psychopathology using multi-informant and multi-instrument dimensional measures in the ABCD study.

Background: Due to limitations of categorical definitions of mental illness, there is a need for quantitative empirical investigations of the dimensional structure of psychopathology. Using exploratory bifactor methods, this study investigated a comprehensive and representative structure of psychopathology in children to better understand how psychotic-like experiences (PLEs), autism spectrum disorder (ASD) symptoms, impulsivity, and sensitivity to reward and punishment, may be integrated into extant general factor models of psychopathology. Methods: We used seven child-report and three parent-report instruments capturing diverse mental health symptoms in 11,185 children aged 9-10 from the Adolescent Brain Cognitive DevelopmentSM (ABCD) Study. We built on previous modeling frameworks by conducting both split sample and full sample factor analytic approaches that harnessed recent methodological advances in bifactor exploratory structural equation modeling (B-ESEM) to examine a wide range of psychopathology measures not previously integrated into a single analysis. Validity of psychopathology dimensions was examined by investigating associations with sex, age, cognition, imaging measures, and medical service usage. Results: All four factor analytic models showed excellent fit and similar structure within informant. PLEs loaded most highly onto a general psychopathology factor, suggesting that they may reflect non-specific risk for mental illness. ASD symptoms loaded separately from attention/hyperactivity symptoms. Symptoms of impulsivity and sensitivity to reward and punishment loaded onto specific factors, distinct from externalizing and internalizing factors. All identified factors were associated with clinically relevant risk factors, providing preliminary evidence for their construct validity. Conclusion: By integrating diverse child-report and parent-report psychopathology measures for children in the ABCD sample, we deliver data on the quantitative structure of psychopathology for an exceptionally large set of measurements and discuss implications for the field.

Bidirectional associations between short sleep duration, insomnia symptoms, and psychotic-like experiences in adolescents.

This study investigates the prospective associations between short sleep duration, insomnia symptoms, and psychotic-like experiences (PLEs) in a large sample of Chinese adolescents. This study utilized a three-timepoint repeated cross-sectional survey with two nested longitudinal subsamples. A total of 17,722 adolescents were assessed at baseline (April 21 to May 12, 2021) and six months later (December 17 to 26, 2021). Out of these, 15,694 adolescents provided complete responses to the questions at baseline and one year later (May 17 - June 6, 2022). A self-administered questionnaire was used to measure sample characteristics (at baseline), sleep duration, insomnia symptoms, and PLEs (at each assessment), and negative life events (at two follow-ups). Baseline short sleep duration and insomnia symptoms predicted frequent PLEs at both follow-up assessments. Additionally, baseline frequent PLEs also predicted insomnia symptoms at six months and one year later. However, when controlling for confounders, PLEs at baseline only predicted short sleep duration at six months, and not at one year. This study reveals bidirectional prospective relationships between short sleep duration, insomnia symptoms, and PLEs, even after controlling for covariates. Therefore, it is crucial to assess both sleep patterns and PLEs in order to promote optimal sleep and mental health among adolescents.

Social influences on the relationship between dissociation and psychotic-like experiences.

BACKGROUND: Shame is experienced as a threat to social self, and so activates threat-protective responses. There is evidence that shame has trauma-like characteristics, suggesting it can be understood within the same conceptual framework as trauma and dissociation. Evidence for causal links among trauma, dissociation, and psychosis thus warrant the investigation of how shame may influence causal mechanisms for psychosis symptoms. METHODS: This study tested the interaction between dissociation and shame, specifically external shame (feeling shamed by others), in predicting psychotic-like experiences (PLEs) six months later in a general population sample (N = 314). It also tested if social safeness moderates these effects. A longitudinal, online questionnaire design tested a moderation model (dissociation-shame) and a moderated moderation model (adding social safeness), using multiple regressions with bootstrap procedures. RESULTS: Although there was no direct effect of dissociation on PLEs six months later, there was a significant interaction effect with shame, controlling for PLEs at baseline. There were complex patterns in the directions of effects: For high-shame-scorers, higher dissociation predicted higher PLE scores, but for low-shame-scorers, higher dissociation predicted lower PLE scores. Social safeness was found to significantly moderate these interaction effects, which were unexpectedly more pronounced in the context of higher social safeness. CONCLUSIONS: The results demonstrate evidence for an interaction between dissociation and shame on its impact on PLEs, which manifests particularly for those experiencing higher social safeness. This suggests a potential role of social mechanisms in both the etiology and treatment of psychosis, which warrants further testing in clinical populations.

Examining the Most Important Risk Factors for Predicting Youth Persistent and Distressing Psychotic-Like Experiences.

BACKGROUND: Persistence and distress distinguish more clinically significant psychotic-like experiences (PLEs) from those that are less likely to be associated with impairment and/or need for care. Identifying risk factors that identify clinically relevant PLEs early in development is important for improving our understanding of the etiopathogenesis of these experiences. Machine learning analyses were used to examine the most important baseline factors distinguishing persistent distressing PLEs. METHODS: Using Adolescent Brain Cognitive Development (ABCD) Study data on PLEs from 3 time points (ages 9-13 years), we created the following groups: individuals with persistent distressing PLEs (n = 305), individuals with transient distressing PLEs (n = 374), and individuals with low-level PLEs demographically matched to either the persistent distressing PLEs group (n = 305) or the transient distressing PLEs group (n = 374). Random forest classification models were trained to distinguish persistent distressing PLEs from low-level PLEs, transient distressing PLEs from low-level PLEs, and persistent distressing PLEs from transient distressing PLEs. Models were trained using identified baseline predictors as input features (i.e., cognitive, neural [cortical thickness, resting-state functional connectivity], developmental milestone delays, internalizing symptoms, adverse childhood experiences). RESULTS: The model distinguishing persistent distressing PLEs from low-level PLEs showed the highest accuracy (test sample accuracy = 69.33%; 95% CI, 61.29%-76.59%). The most important predictors included internalizing symptoms, adverse childhood experiences, and cognitive functioning. Models for distinguishing persistent PLEs from transient distressing PLEs generally performed poorly. CONCLUSIONS: Model performance metrics indicated that while most important factors overlapped across models (e.g., internalizing symptoms), adverse childhood experiences were especially important for predicting persistent distressing PLEs. Machine learning analyses proved useful for distinguishing the most clinically relevant group from the least clinically relevant group but showed limited ability to distinguish among clinically relevant groups that differed in PLE persistence.