Financial problems are of influence on mental health, and vice versa. Indeed, finances are a key challenge for people with psychosis. To gain deeper insights into these challenges, a qualitative approach focusing on all perspectives within the therapeutic triad is needed. This study aims to investigate perspectives of people with psychosis, family members and mental healthcare professionals on people with psychosis' financial problems, and associated factors.

Fourteen people with psychosis, 15 family members and 16 professionals were recruited using purposive sampling, and participated in semi-structured, one-on-one interviews. Data was analysed using iterative thematic data-analysis.

Interviews revealed five themes of financial problems: Covering expenses, Financial performance, Living conditions and housing, Personal conflicts and victimization, and Regulations and legislation. Five themes were identified as factors associated with financial problems: Psychotic symptoms, Indirect factors related to psychosis, Substance use and addiction, Financial upbringing and life events, and Societal contextual factors.

People in the therapeutic triad largely mentioned similar, wide-ranging, and often co-occurring (factors associated with) financial problems of people with psychosis, risking vicious cycles. Fostering awareness and collaborative efforts among stakeholders is essential to breaking these cycles of financial problems for individuals with psychosis.

Non-affective psychotic disorders are marked by cognitive and sensory processing abnormalities, including in early visual processing and social cognition. Understanding the relationships between these deficits and their impact on daily-life functional outcomes may help to improve outcomes in affected individuals. This systematic review and meta-analysis aimed to summarise the existing evidence on the relationships between early visual processing, social cognition, and functional outcomes, and to assess the evidence regarding the mediating role of social cognition in the association between early visual processing and functional outcomes in individuals with schizophrenia spectrum disorders. A comprehensive search across five databases identified 364 potentially eligible studies, with eight articles meeting all inclusion criteria. Meta-analytic techniques were employed to synthesise effect sizes and assess a meta-mediation model. Three random-effects meta-analyses revealed significant associations between all three domains of interest. Social cognition partially mediated the relationship between early visual processing and functional outcomes. The direct effect of early visual processing on functional outcomes remained significant, albeit with a reduced effect size. The findings suggest that interventions targeting both early visual processing and social cognition concurrently may improve functional outcomes more effectively than focusing on either domain alone.

Cognitive impairment, a key feature of psychosis, is linked to poor functional outcomes. This study aimed to identify predictors and outcomes associated with cognitive decline in psychotic disorders.

Data were taken from the Suffolk County Mental Health Project, a first-admission longitudinal cohort study of individuals with psychotic disorders. Participants were recruited from all 12 inpatient psychiatric facilities in Suffolk County, New York. Cognitive function was assessed at 6-month, 24-month, 20-year, and 25-year follow-ups. This analysis includes 400 participants with at least 2 estimates of general cognitive ability. A mixed effects model with random slopes and random intercepts was employed to estimate individual cognitive trajectories. The estimated random slopes for each participant were then used to predict 25-year clinical outcomes.

No baseline predictors of subsequent cognitive decline were identified. Faster cognitive decline was associated with lower odds of remission, recovery, employment, financial independence, and worse social function 25 years after first admission.

Cognitive decline may be an indicator of illness severity more broadly and may therefore be a useful indicator of who might benefit from known interventions targeting clinical outcomes. Intervening in cognitive decline itself may have widespread beneficial effects on outcomes in psychotic disorders.

Coordinated specialty care (CSC) is an evidence-based, early intervention approach for individuals with a recent onset of psychosis. This study identifies program and individual characteristics that predict (1) initial engagement in care; (2) the use of peer and family partner services; and (3) time to disengagement. Administrative data representing CSC encounters at 22 community mental health programs were analyzed. Logistic regressions were used to model initial CSC engagement, as well as the use of peer or family partner services, given initial engagement. Cox proportional hazards regression was used to quantify program disengagement, with possible time-varying effects of peer service use. Identified predictors of initial engagement included: race/ethnicity, age, diagnosis, program urbanicity, and program maturity. Identified predictors of disengagement in the first year included: diagnosis, program urbanicity, and program maturity. Peer and family partner services did not significantly predict disengagement. These results suggest equity issues for some individuals, while also highlighting the importance of program characteristics on pathways to care. Future research should include program factors as key predictors for engagement, explore both person-centered and program-centered strategies to maximize engagement, and optimize and examine the role of individual and family peer services in engagement. Such a shift would align with the call to understand pathways to care from a community-level rather than individual lens.

From the first episode (FEP), the course of psychosis is marked by substantial heterogeneity of clinical and functional outcomes which poses significant challenges in providing prognostic guidance to patients and families. To better understand such heterogeneity within the context of early intervention services (EIS), this study aimed to examine latent trajectories of positive and negative symptoms and functioning among FEP individuals undergoing EIS.

The Prevention and Early Intervention Program for Psychoses (PEPP-Montreal) is a 2-year EIS for FEP that conducted longitudinal assessments of 689 individuals aged 14-35, including sociodemographics, cognition, psychopathology, and functioning. Latent growth mixture modeling was used to identify distinct patterns of clinical and functional trajectories. The inter-relationship between trajectories, and the association of trajectory membership with baseline characteristics and distal outcomes were investigated using the manual 3-step approach.

Two positive symptom trajectories (Stable-low-32%, Fluctuating-68%,), 3 negative symptom trajectories (Decreasing-41%, Fluctuating-15%, and Stable-high-44%), and 2 functioning trajectories (Increasing-57%, Stable-moderate-43%) were identified. Early treatment response, particularly on negative symptoms, consistently and strongly predicted better outcome trajectories (OR = [3.4-5.5]). Trajectories of higher symptom severity were associated with trajectory of worse functioning (RR = [1.5-2.2]), which exhibited lower rates of clinical and functional remission.

These findings offer insights into clinically meaningful subgroups of individuals that could inform the prognosis of FEP and the development of individually tailored EIS. Individuals who do not show early improvement in negative symptoms may benefit from earlier psychosocial interventions specifically targeting actionable factors that contribute to secondary negative symptoms.

The current study aims to explore the efficacy of cognitive behavioral therapy (CBT) in normalizing social learning capabilities and its underlying neural processes among patients with MDD, in terms of enhancing learning towards positive social feedback, and reducing excessive learning towards negative social feedback. This study also explores the potential for learning impairments in social contexts as a biomarker to predict the effectiveness of CBT.

In a single-centre, single-arm, open-label trial, 60 outpatients with MDD will undergo 12 sessions of CBT in three months. Data collection of patients will be administered at baseline and at the endpoint of the treatment. Additionally, 60 heathy controls will be recruited as a comparative group to assess deviations from the normal functions in the patients with MDD before and after CBT. Data collection of the HC group will be administered at baseline. Data collection of the two groups comprises of demographic information, clinical assessments, psychological assessments, and behavioral experiments (i.e. the Door Game and the Trust Game) in conjuction with task-based function magnetic resonance imaging (fMRI) scanning. Data analysis comprises of an estimation of social learning capabilities by computational modeling, and identification of baseline abnormalities, treatment effects and endpoint abnormalities on social learning capabilities and its neural activities.

This trial aims to assess the efficacy of CBT in normalizing social learning capabilities among patients with MDD by leveraging high ecological validity paradigms and computational modeling. This trial also contributes to understanding psychosocial biomarkers of CBT treatment effectiveness in reducing depressive symptoms.

ChiCTR2400094841 ( www.chictr.org.cn ; registration date: 12/29/2024) (retrospectively registered).

Having a relapse of schizophrenia or recurrent psychosis is feared by patients, can cause social and personal disruption and has been suggested to cause long-term deterioration, possibly because of a toxic biological process.

To assess whether relapse affected the social and clinical outcomes of people enrolled in a 24-month randomised controlled trial of antipsychotic medication dose reduction versus maintenance treatment.

The trial involved participants with a diagnosis of schizophrenia or recurrent, non-affective psychosis. Relapse was defined as admission to hospital or significant deterioration (assessed by a blinded end-point committee). We analysed the relationship between relapse during the trial and social functioning, quality of life, symptom scores (Positive and Negative Syndrome Scale) and rates of being in employment, education or training at 24-month follow-up. We also analysed changes in these measures during the trial among those who relapsed and those who did not. Sensitivity analyses were conducted examining the effects of 'severe' relapse (i.e. admission to hospital).

During the course of the trial, 82 out of 253 participants relapsed. There was no evidence for a difference between those who relapsed and those who did not on changes in social functioning, quality of life, symptom scores or overall employment rates between baseline and 24-month follow-up. Those who relapsed showed no change in their social functioning or quality of life, and a slight improvement in symptoms compared to baseline. They were more likely than those who did not relapse to have had a change in their employment status (mostly moving out of employment, education or training), although numbers changing status were small. Sensitivity analyses showed the same results for those who experienced a 'severe' relapse.

Our data provide little evidence that relapse has a detrimental effect in the long term in people with schizophrenia and recurrent psychosis.

Models have been put forth to describe relations between psychopathology and personality. However, the relation in individuals with psychotic disorders is unclear. As a test of models of psychopathology-personality in psychosis, the current study included 239 individuals, each with one of four psychotic disorders-schizophrenia (SZ), bipolar disorder with psychotic features (BPp), major depressive disorder with psychotic features (MDDp), and substance-induced psychosis (SIP)-and compared their personality to a never-psychotic sample (NP; n = 257). In support of the complication + scar model, we found SZ, BPp, MDDp, and SIP were significantly higher on neuroticism and detachment, and most were higher on mistrust and eccentric perceptions than the NP group (average Cohen's d = |0.83| across all personality measures). Also compared to the NP group, SZ was lower on extraversion, agreeableness, and conscientiousness; MDDp was lower on extraversion and conscientiousness; and SIP was lower on agreeableness and conscientiousness (average Cohen's d = |0.77|). Differences were observed among the psychotic disorder groups (SZ, BPp, MDDp, SIP), with effects up to d = 1.38. In support of the complication model, the non-recovered group was significantly higher on mistrust, eccentric perceptions, and detachment but lower on extraversion and conscientiousness than the recovered group (average d = |0.57| across measures). In support of the scar model, individuals who met threshold for recovery continued to manifest personality deviations, although smaller in magnitude (average d = |0.32| across measures) compared to NP. Overall, we found support for the complication and scar models, suggesting that while symptoms are associated with personality differences, psychosis is associated with permanent personality alterations. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Paranoid ideation is a relatively common experience in adolescence, yet it has not been well-explored in relation to psychological well-being and functioning in general population samples of youth. The current study aimed to investigate the relations between paranoia (operationalized as "persecutory ideation"), well-being, and two domains of functioning, social (e.g., interpersonal relationships) and role (e.g., school and home responsibilities), in adolescence.

This nonclinical sample of adolescents (n = 462, aged 14-17 years, 50% male, 50% female) was recruited from the United Kingdom and the United States via an online survey in 2022.

Correlations indicated significant associations between persecutory ideation, in the negative direction, and well-being, in the positive direction, with both social and role functioning. With respect to social, but not role, functioning, these associations remained significant in linear regression analyses controlling for the effects of depression, past-year bullying/victimization, and past-year adverse life events. A subsequent analysis indicated that the association between persecutory ideation and social functioning was moderated by well-being. Persecutory ideation was significantly associated with social functioning at the lowest level of well-being (1 SD below the mean), but not at moderate (mean) or high (1 SD above the mean) levels of well-being.

Results suggest that among adolescents, persecutory ideation is negatively associated with functioning. Furthermore, novel findings suggest that well-being may buffer the association between persecutory ideation and social functioning. Therapeutic interventions targeting well-being may be helpful for youth experiencing paranoia, especially with respect to maintaining relationships and social connectedness.

Studies of individuals with chronic, untreated schizophrenia (CUS) can provide important insights into the natural course of schizophrenia and how antipsychotic pharmacotherapy affects neurobiological aspects of illness course and progression. We systematically review 17 studies on the neuroimaging, cognitive, and epidemiological aspects of CUS individuals. These studies were conducted at the Shanghai Mental Health Center, Institute of Mental Health at Peking University, and Huaxi MR Research Center between 2013 and 2021. CUS is associated with cognitive impairment, severe symptoms, and specific demographic characteristics and is different significantly from those observed in antipsychotic-treated individuals. Furthermore, CUS individuals have neurostructural and neurofunctional alterations in frontal and temporal regions, corpus callosum, subcortical, and visual processing areas, as well as default-mode and somatomotor networks. As the disease progresses, significant structural deteriorations occur, such as accelerated cortical thinning in frontal and temporal lobes, greater reduction in fractional anisotropy in the genu of corpus callosum, and decline in nodal metrics of gray mater network in thalamus, correlating with worsening cognitive deficits and clinical outcomes. In addition, striatal hypertrophy also occurs, independent of antipsychotic treatment. Contrasting with the negative neurostructural and neurofunctional effects of short-term antipsychotic treatment, long-term therapy frequently results in significant improvements. It notably enhances white matter integrity and the functions of key subcortical regions such as the amygdala, hippocampus, and striatum, potentially improving cognitive functions. This narrative review highlights the progressive neurobiological sequelae of CUS, the importance of early detection, and long-term treatment of schizophrenia, particularly because treatment may attenuate neurobiological deterioration and improve clinical outcomes.

The 22q11.2 deletion syndrome (22q11.2DS) entails intellectual disabilities and higher risk of psychotic disorders. Neurocognitive deficits predict real-life functioning of schizophrenic patients. We investigated real-life functioning in 22q11.2DS, aiming at defining how neurocognitive profile and psychopathological variables impact on psychotic patients' social functioning.

We recruited 63 patients with schizophrenia (SCZ, N = 63), 44 with 22q11.2DS (DEL, N = 44) and 19 with 22q11.2DS and psychosis (DEL-SCZ, N = 19), all matched for age, sex and neurocognitive profile; we administered the Positive and Negative Syndrome Scale (PANSS), the Brief Negative Symptom Scale (BNSS), the Specific Levels of Functioning (SLoF) scale and the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery (MCCB). We implemented descriptive analyses, MANCOVA and linear regression statistics.

The DEL-SCZ and the SCZ groups showed similar levels in Interpersonal Relationships (p = 0.093) and Social Acceptability subscales (p = 0.283). The DEL group scored higher on the Interpersonal Relationships subscale compared with the SCZ group (p = 0.001). The groups scored similarly on the other SLoF subscales. Both BNSS total score (beta = -0.343; p = 0.004) and BNSS asociality (beta = -0.487; p = 0.038) significantly predicted the Interpersonal Relationships variable in the groups with psychosis (SCZ and DEL-SCZ).

Individuals with 22q11.2DS display a similar real-life functioning to patients with chronic schizophrenia. Social functioning impairments are typical of psychosis regardless of the genetic condition and highly predicted by negative symptoms like asociality. The 22q11.2DS represents a reliable biological model to study vulnerability to psychosis and its consequences on patients' real-life and social functioning.

Glycine is an obligatory co-agonist at excitatory NMDA receptors in the brain, especially in the dentate gyrus, which has been postulated to be crucial for the development of psychotic associations and memories with psychotic content. Drugs modulating glycine levels are in clinical development for improving cognition in schizophrenia. However, the functional relevance of the regulation of glycine metabolism by endogenous enzymes is unclear. Using a chromosome-engineered allelic series in mice, we report that a triplication of the gene encoding the glycine-catabolizing enzyme glycine decarboxylase (GLDC) - as found on a small supernumerary marker chromosome in patients with psychosis - reduces extracellular glycine levels as determined by optical fluorescence resonance energy transfer (FRET) in dentate gyrus (DG) and suppresses long-term potentiation (LTP) in mPP-DG synapses but not in CA3-CA1 synapses, reduces the activity of biochemical pathways implicated in schizophrenia and mitochondrial bioenergetics, and displays deficits in schizophrenia-like behaviors which are in part known to be dependent on the activity of the dentate gyrus, e.g., prepulse inhibition, startle habituation, latent inhibition, working memory, sociability and social preference. Our results demonstrate that Gldc negatively regulates long-term synaptic plasticity in the dentate gyrus in mice, suggesting that an increase in GLDC copy number possibly contributes to the development of psychosis in humans.

We aimed to examine the predictive accuracy of functioning, relapse or remission among patients with psychotic disorders, using machine learning methods. We also identified specific features that were associated with these clinical outcomes.

The methodology of this review was guided by the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy.

CINAHL, EMBASE, PubMed, PsycINFO, Scopus and ScienceDirect were searched for relevant articles from database inception until 21 November 2024.

Studies were included if they involved the use of machine learning methods to predict functioning, relapse and/or remission among individuals with psychotic spectrum disorders.

Two independent reviewers screened the records from the database search. Risk of bias was evaluated using the Quality Assessment of Diagnostic Accuracy Studies tool from Cochrane. Synthesised findings were presented in tables.

23 studies were included in the review, which were mostly conducted in the west (91%). Predictive summary area under the curve values for functioning, relapse and remission were 0.63-0.92 (poor to outstanding), 0.45-0.95 (poor to outstanding), 0.70-0.79 (acceptable), respectively. Logistic regression and random forest were the best performing algorithms. Factors influencing outcomes included demographic (age, ethnicity), illness (duration of untreated illness, types of symptoms), functioning (baseline functioning, interpersonal relationships and activity engagement), treatment variables (use of higher doses of antipsychotics, electroconvulsive therapy), data from passive sensor (call log, distance travelled, time spent in certain locations) and online activities (time of use, use of certain words, changes in search frequencies and length of queries).

Machine learning methods show promise in the prediction of prognosis (specifically functioning, relapse and remission) of mental disorders based on relevant collected variables. Future machine learning studies may want to focus on the inclusion of a broader swathe of variables including ecological momentary assessments, with a greater amount of good quality big data covering longer longitudinal illness courses and coupled with external validation of study findings.

The review was registered on PROSPERO, ID: CRD42023441108.

Few studies have examined the long-term outcomes of first-episode psychosis (FEP) among patients beyond symptomatic and functional remission. This study aimed to broaden the scope of outcome indicators by examining the relationships between 12 outcomes of FEP patients at 20.9 years after their initial diagnosis.

At follow-up, 220 out of 550 original patients underwent a new assessment. Twelve outcomes were assessed via semistructured interviews and complementary scales: symptom severity, functional impairment, personal recovery, social disadvantage, physical health, number of suicide attempts, number of episodes, current drug use, dose-years of antipsychotics (DYAps), cognitive impairment, motor abnormalities, and DSM-5 final diagnosis. The relationships between these outcome measures were investigated using Spearman's correlation analysis and exploratory factor analysis, while the specific connections between outcomes were ascertained using network analysis.

The outcomes were significantly correlated; specifically, symptom severity, functioning, and personal recovery showed the strongest correlations. Exploratory factor analysis of the 12 outcomes revealed two factors, with 11 of the 12 outcomes loading on the first factor. Network analysis revealed that symptom severity, functioning, social disadvantage, diagnosis, cognitive impairment, DYAps, and number of episodes were the most interconnected outcomes.

Network analysis provided new insights into the heterogeneity between outcomes among patients with FEP. By considering outcomes beyond symptom severity, the rich net of interconnections elucidated herein can facilitate the development of interventions that target potentially modifiable outcomes and generalize their impact on the most interconnected outcomes.

People with psychotic disorders have high levels of social exclusion; however, little is known about its early predictors. We present a long-term observational cohort study aimed at examining early risk factors for later social exclusion.

A total of 243 subjects were assessed at their first psychotic episode for early risk factors including sociodemographic variables, familial risk of major mental disorders, perinatal complications, childhood factors, and adolescent factors and re-assessed after a mean follow-up of 21 years for 12 social exclusion domains: leisure activities, housing, work, income, neighborhood deprivation, educational attainment, physical and mental health, family and social support, legal competence, and discrimination. The ability of risk factors to predict social exclusion was examined using hierarchical linear regression.

Overall social exclusion was independently predicted by low parental socio-economic status, length of follow-up, familial risk of schizophrenia, obstetric complications, neurodevelopmental delay, poor childhood adjustment, childhood adversity, poor adolescent social networks, poor adolescent adjustment, and low premorbid IQ. The model explained 58.2% of the variance in total social exclusion score. Each social exclusion domain was predicted by a different set of variables, which explained between 17.8 and 57.0% of their variance, although low socio-economic status, familial risk of schizophrenia, obstetric complications, childhood adversity, and poor social networks predicted most of the social exclusion domains.

Early risk factors strongly predicted later social exclusion. A multifaceted approach to preventing later social exclusion is crucial in people with a first episode of psychosis and early risk factors of social exclusion.

Among individuals living with psychotic disorders, social impairment is common, debilitating, and challenging to treat. While the roots of this impairment are undoubtedly complex, converging lines of evidence suggest that social motivation and pleasure (MAP) deficits play a central role. Yet most neuroimaging studies have focused on monetary rewards, precluding decisive inferences.

Here we leveraged parallel social and monetary incentive delay functional magnetic resonance imaging paradigms to test whether blunted reactivity to social incentives in the ventral striatum-a key component of the distributed neural circuit mediating appetitive motivation and hedonic pleasure-is associated with more severe MAP symptoms in a transdiagnostic adult sample enriched for psychosis. To maximize ecological validity and translational relevance, we capitalized on naturalistic audiovisual clips of an established social partner expressing positive feedback.

Although both paradigms robustly engaged the ventral striatum, only reactivity to social incentives was associated with clinician-rated MAP deficits. This association remained significant when controlling for other symptoms, binary diagnostic status, or striatal reactivity to monetary incentives. Follow-up analyses suggested that this association predominantly reflects diminished activation during the presentation of social reward.

These observations provide a neurobiologically grounded framework for conceptualizing the social-anhedonia symptoms and social impairments that characterize many individuals living with psychotic disorders and underscore the need to develop targeted intervention strategies.

The present study aimed to investigate the causal relationships among cognitive impairment, psychopathology, and real-life functioning in a large sample of people with schizophrenia, using a data-driven causal discovery procedure based on partial ancestral graphs (PAGs). This method may provide additional insights for the identification of potential therapeutic targets to promote recovery in people with chronic schizophrenia. State-of-the-art instruments were used to assess the study variables. Two PAGs were generated at baseline and after 4 years of follow-up to model the nature of the causal relationships linking psychopathology, cognition, and functioning. The study sample was composed of more than 600 clinically stable patients with schizophrenia at two time points. The PAGs model indicated that working memory impairment is the first ancestor of the causal links, influencing all the other neurocognitive domains, social cognition, and functional capacity, which in turn affects everyday life functioning. From this domain of functioning a causal link is directed to disorganization and positive symptoms, and another to work skills and interpersonal relationships domains; the latter had a direct link to asociality and the other domains of negative symptoms. The structure of the PAGs did not differ significantly between baseline and follow-up, indicating the stability of the causal relationship model investigated cross-sectionally at both time points. The role of working memory impairment in the pathways to functional outcomes in schizophrenia highlights the importance of implementing integrated pharmacological and cognitive remediation interventions targeting neurocognition. The impact of everyday life and interpersonal functioning on the clinical presentation of schizophrenia suggests that integrated and personalized treatments, promoting relevant skills to improve these functional outcomes, may have a beneficial impact on clinical outcomes.

Symptom severity and social functioning are important outcomes after first episode psychosis (FEP), yet current evidence about associations between them is inconsistent and lacks (subclinical) momentary insights.

The current Ecological Momentary Assessment (EMA) study was conducted in 58 people in remission from FEP, as part of the HAMLETT (Handling Antipsychotic Medication: Long-term Evaluation of Targeted Treatment) trial. At baseline, participants were prompted to report momentary mental states and social context 10x/day for eight consecutive days, including psychotic experiences (PEs), motivation/drive and negative affect, that may indicate proxies of (subclinical) psychotic, negative and general affective symptoms, respectively. We employed multilevel mixed-effects regressions to investigate associations between self-reported mental states and concurrent activity or social company and subjective appraisal thereof. We also conducted retrospective clinical assessments of symptoms (PANSS) and social functioning (WHODAS 2.0) and investigated their cross-sectional associations using multivariable linear regression.

Analyses of 3101 EMA-questionnaires showed that lower motivation/drive was associated with more passive activity and less company (OR = 0.96 [95%CI: 0.96; 0.97], OR = 0.95 [95%CI: 0.93; 0.96], N.B. ORs per 1-point symptom-score change). PEs and negative affect were associated with more proactive activity (OR = 1.02 [95%CI: 1.00; 1.03], OR = 1.02 [95%CI: 1.01; 1.03]). All three mental state domains were associated with lower activity appraisal overall, though activity-specific associations differed. PEs and negative affect were associated with lower company appraisal (B = -0.25 [95%CI: -0.36; -0.14], B = -0.15 [95%CI: -0.23; -0.06]). When assessed retrospectively, only PANSS general psychopathology was associated with poorer social functioning (B = 2.52 [95%CI: 1.69; 3.34]).

Self-reported PEs, momentary motivation/drive and general affective symptoms are associated with daily-life functioning after remission from FEP. Retrospective observer-rated and momentary self-report assessment methods do not measure the same aspects or intensity of psychopathology.

Psychosis spectrum disorders are characterized by significant alterations in social functioning, which is a major factor for patient recovery. Despite its importance, objectively quantifying the complex day-to-day social behavior in real-life settings has rarely been attempted. Here, we conducted a pilot study with wearable sensors that passively and continuously register interactions with other participants. We hypothesized that the amount and pattern of social interaction was associated with the severity of psychotic symptoms.

We recruited 7 patients with psychosis spectrum disorders and 18 team members from a Soteria-style ward. Each participant wore a radio frequency identification badge, sending and receiving signals from nearby badges, allowing passive quantification of social interactions. In addition, symptom severity was assessed weekly by the Positive and Negative Syndrome Scale (PANSS).

During an 11-week period, we identified 17 970 interactions among patients and staff. On average, patients spent 2.6 h per day interacting, capturing relevant aspects of daily social life. Relative daily interaction time, average interaction duration, and clustering coefficient, a measure of local network integration, were significantly associated with lower PANSS scores. Self-reported interaction time did not correlate with measured interaction time or with PANSS, indicating the importance of objective markers.

This pilot study demonstrates the feasibility of passively recording social interaction of patients and staff at high resolution and for a long observation period in a real-life setting in a psychiatric department. We show links between quantified social interaction and psychopathology that may facilitate development and personalization of targeted treatments.

Schizophrenia disorders severely impact social and occupational function and reduce quality of life, furthermore patients often suffer from social withdrawal and isolation. The aim of this study was to investigate long-term quality of life and social disconnection and determine 10-year changes in quality of life and social disconnection later in life in association with changes in symptom severity, cognition, and global function.

We used assessments of quality of life and assessor rated social disconnection from the 10- and 20-year follow-up of the OPUS trial to examined 10-year changes in self-rated quality of life and social disconnection in the later stage of illness following a first episode psychosis. Self-rated social disconnection was only assessed in the 174 participants of the 20-year follow-up.

Twenty years after a first episode psychosis only half of the participants reported having face-to-face contact with someone in their network more than once a week, while 90 % reported often or always being able to get emotional support when needed. Quality of life ratings were lower in our study population compared to the general population. On average physical and environmental quality of life worsened from the 10- to the 20-year follow-up while psychological and social quality of life remained stable. All quality-of-life domains were associated with negative symptoms (physical QoL: b = -6.6, p < 0.001, psychological QoL: b = -8, p < 0.001, social QoL: b = -5.7, p < 0.001 and environmental QoL: b = -6.5, p < 0.001) and global function (physical QoL: b = -0. 47, p < 0.001, psychological QoL: b = 0.52, p < 0.001, social QoL: b = 0.31, p < 0.001 and environmental QoL: b = 0.49, p < 0.001).

Social disconnection seems to persist over time. Social disconnection and quality of life were associated with negative symptoms and poor functioning, therefore interventions aimed at improving global and social function might likely also improve quality of life.

Duration of untreated psychosis (DUP) has been linked to worse mental health outcomes in psychotic disorders. We meta-analytically studied the relationship between "long" vs. "short" DUP and mental health outcomes.

This PRISMA/MOOSE-compliant meta-analysis searched for nonoverlapping individual studies from database inception until November 01, 2023, reporting data from author-defined "short"/"long" DUP (according to author's definition) in patients with first-episode psychosis (FEP). We compared differences between "short"/"long" DUP groups at baseline and/or follow-up in continuous and binary outcomes. We conducted random-effects meta-analyses, stratified analyses, heterogeneity analyses, meta-regression analyses, and quality assessment (PROSPERO: CRD42023479321).

From 16,055 citations, 34 studies were included (n = 6,425, age = 27.5 ± 7.1 years, males = 60.4%, white = 70.2%, DUP: mean = 60.8 ± 43.8 weeks, median = 52.5, interquartile range = 31.3, 68.0 weeks, follow-up = 19.2 ± 35.0 months). The definition of "short"/"long" varies significantly between the studies. Compared to "short" DUP (mean = 10.2 ± 11.2 weeks), "long" DUP (mean = 58.8 ± 76.4 weeks) was associated with higher baseline Positive and Negative Syndrome Scale (PANSS) negative (k = 14, ES = 0.45, 95%CI = 0.16, 0.74) and Scale for the Assessment of Negative Symptoms (k = 7, ES = 0.29, 95%CI = 0.11, 0.47) scores, lower remission (k = 7, OR = 0.40, 95%CI = 0.24, 0.67) and more suicide attempts (k = 4, OR = 2.01, 95%CI = 1.36, 2.96). At follow-up, compared to "short" DUP, "long" DUP was associated with lower Global Assessment of Functioning (k = 4, ES = -0.63, 95%CI = -0.83, -0.43) and higher PANSS negative subscale scores (k = 5, ES = 0.66, 95%CI = 0.05, 1.27).

In FEP, longer DUP is related to greater baseline negative symptoms, less remission, and more suicide attempts, as well as greater postbaseline negative symptom severity and functional disability. To what degree longer DUP contributes to poorer outcomes or whether DUP only correlates with these outcomes requires further study. A greater consensus on the definition of long DUP is needed to make comparisons between studies more feasible.

Social isolation has been linked to a range of psychiatric issues, but the behavioral component that drives it is not well understood. Here, a genome-wide associations study (GWAS) was carried out to identify genetic variants that contribute specifically to social isolation behavior (SIB) in up to 449,609 participants from the UK Biobank. 17 loci were identified at genome-wide significance, contributing to a 4% SNP-based heritability estimate. Using the SIB GWAS, polygenic risk scores (PRS) were derived in ALSPAC, an independent, developmental cohort, and used to test for association with self-reported friendship scores, comprising items related to friendship quality and quantity, at age 12 and 18 to determine whether genetic predisposition manifests during childhood development. At age 18, friendship scores were associated with the SIB PRS, demonstrating that the genetic factors can predict related social traits in late adolescence. Linkage disequilibrium (LD) score correlation using the SIB GWAS demonstrated genetic correlations with autism spectrum disorder (ASD), schizophrenia, major depressive disorder (MDD), educational attainment, extraversion, and loneliness. However, no evidence of causality was found using a conservative Mendelian randomization approach between SIB and any of the traits in either direction. Genomic Structural Equation Modeling (SEM) revealed a common factor contributing to SIB, neuroticism, loneliness, MDD, and ASD, weakly correlated with a second common factor that contributes to psychiatric and psychotic traits. Our results show that SIB contributes a small heritable component, which is associated genetically with other social traits such as friendship as well as psychiatric disorders.

Mindfulness-based interventions are promising psychological treatment approaches that may have more substantial long-lasting intervention effects than cognitive behavioral therapy when treating individuals with early psychosis. A pilot study analyzed mindfulness-based inpatient group therapy's feasibility and potential efficacy (Feel-Good).

This paper explores the subjective experiences of participants in the Feel-Good inpatient therapy group to gain insight into the possible changes brought about by the mindfulness-based intervention.

A semi-structured change interview was used to examine the experience of ten participants who participated in the Feel-Good intervention and the additional qualitative assessment. The interviews were conducted 16 weeks after the Feel-Good group ended (16-week Follow-Up). Interviews were transcribed verbatim and analyzed using thematic analysis.

The analysis generated five themes-one about personal changes brought about by the Feel-Good group, three about the group therapy experience, and one about wishes/modification suggestions to change and improve the Feel-Good group. The findings suggested that the Feel-Good group was perceived as very helpful, leading to numerous changes in one's overall well-being and relation to emotions. However, patients recommended a more directive therapeutic style and reduced time required for study assessments.

Gathering qualitative insight from participants on the Feel-Good intervention revealed meaningful insight into patients' experience of change processes. In addition, participant suggestions help to improve the intervention and study design to increase therapy attendance rates and treatment satisfaction, potentially increasing treatment effectiveness in the future.

ClinicalTrials.gov, identifier NCT04592042.

Background. Psychotic disorders have a strong negative impact on people's lives, including their financial situation. This study aimed to examine differences in unmet financial needs between people with psychotic disorders, parents, siblings, and controls. Secondly, we aimed to examine whether family clustering contributes to unmet financial needs. Lastly, we aimed to examine to what extent demographic, economic, psychiatric, functional, and cognitive characteristics and substance use predict unmet financial needs in people with psychosis. Methods. Data from the first assessment of people with psychosis (n = 956), siblings (n = 889), parents (n = 858), and controls (n = 496) included in the Genetic Risk and Outcome of Psychosis study were used. Group differences were assessed with Kruskal-Wallis tests (aim 1), while a mixed-effects logistic regression analysis and explorative and confirmative ordinal logistic regression analyses were conducted for aims 2 and 3, respectively. Results. Twenty-four percent of people with psychotic disorders reported unmet financial needs. These levels of unmet financial needs were significantly higher than levels for siblings, parents, and controls. We found a negligible influence of (direct) familial clustering on unmet financial needs. Lastly, cannabis and tobacco use significantly and consistently predicted higher levels of unmet financial needs of people with psychosis. Conclusions. Relatively high levels of unmet financial needs occurred in a heterogeneous group of people with psychosis, especially when people used cannabis or tobacco. Unmet financial needs can have detrimental consequences for mental health, stigmatization, leisure time activities, and social engagement. Thus, it is pivotal to recognize unmet financial needs, especially combined with substance use, as a crucial stressor for people with psychosis.

Machine learning has been increasingly used to obtain individualized neuroimaging signatures for disease diagnosis, prognosis, and response to treatment in neuropsychiatric and neurodegenerative disorders. Therefore, it has contributed to a better understanding of disease heterogeneity by identifying disease subtypes with different brain phenotypic measures. In this review, we first present a systematic literature overview of studies using machine learning and multimodal magnetic resonance imaging to unravel disease heterogeneity in various neuropsychiatric and neurodegenerative disorders, including Alzheimer's disease, schizophrenia, major depressive disorder, autism spectrum disorder, and multiple sclerosis, as well as their potential in a transdiagnostic framework, where neuroanatomical and neurobiological commonalities were assessed across diagnostic boundaries. Subsequently, we summarize relevant machine learning methodologies and their clinical interpretability. We discuss the potential clinical implications of the current findings and envision future research avenues. Finally, we discuss an emerging paradigm called dimensional neuroimaging endophenotypes. Dimensional neuroimaging endophenotypes dissects the neurobiological heterogeneity of neuropsychiatric and neurodegenerative disorders into low-dimensional yet informative, quantitative brain phenotypic representations, serving as robust intermediate phenotypes (i.e., endophenotypes), presumably reflecting the interplay of underlying genetic, lifestyle, and environmental processes associated with disease etiology.

Background/Objectives: Schizophrenia (SZ) is a severe psychiatric disorder characterized by a complex interplay of genetic, developmental, and environmental factors that significantly increase the risk of suicidal ideation (SI) and suicide attempts (SAs). This systematic review synthesizes current research on the developmental predictors of SI in individuals with SZ, aiming to delineate the multifactorial etiology of suicide within this population. Methods: A comprehensive search across Medline, PsycINFO, and EMBASE databases identified 23 eligible studies, emphasizing the varied methodological approaches and the global distribution of research efforts. Results: These studies demonstrate a robust association between early life adversities, particularly childhood trauma such as physical neglect, emotional abuse, and sexual abuse, and the increased prevalence of SI and SAs in SZ. This review also highlights the significant genetic factors associated with the development of suicidality in SZ, raising the possibility that polymorphisms in inflammation-related genes and neurodevelopmental abnormalities may influence susceptibility to SI. Notably, family history of psychiatric conditions may exacerbate the risk of SI through both hereditary and environmental mechanisms. Environmental factors, including socioeconomic status and social support, are also implicated, underscoring the role of broader socio-environmental conditions influencing outcomes. Conclusions: This review supports the integration of biopsychosocial models in understanding SI in SZ, advocating for interventions addressing the complex interplay of risk factors and the need for longitudinal studies to elucidate the dynamic interactions between risk factors over time. This comprehensive understanding is crucial for developing targeted preventive strategies and enhancing the clinical management of SZ, aiming to reduce suicidality in this vulnerable population.

Psychosis is often associated with loneliness, the absence of a confidant and a perceived lack of social support. In addition, the social isolation and solitude experienced can aggravate internalised stigma, depressive symptoms and/or suicidal tendencies, and worsen the course of the disorder.

This study explores the experiences and perceptions of persons with psychosis concerning how their interpersonal relationships have evolved from the earliest symptoms of the disorder to its subsequent clinical stabilisation.

A qualitative content analysis was performed of the findings from five focus groups and six in-depth interviews (36 participants).

In the prodrome and initial symptoms stage, five themes were coded: social withdrawal, loss of friends, loss of personal skills, communication difficulties and breakdown of life project. During the recovery phase, four themes were coded: family support, partner support, loneliness and the desire for more close relationships. Finally, during the clinical stabilisation phase, three themes were coded: the recovery of interpersonal relationships, including with peers; reconstruction of the life project and increased interpersonal sensitivity.

These findings highlight the impact that psychosis can have on social life and show that recovery is also related to the development of maeningful interpersonal relationships.

Cannabis use is associated with increased psychosis incidence alongside worse outcomes. The role of cannabis may be complex, vary across patients and over time. Yet, few have examined the longer-term trajectories of cannabis use, symptoms and functioning and their inter-relationships. We conducted a 5-year longitudinal study to estimate joint-trajectories of clinical severity, social functioning, and cannabis use via group-based multi-trajectory modelling on a sample of 395 incident FEP cases. Associations of trajectories with socio-demographic and clinical factors were tested using multinomial regression. The best-fitting model identified 5 joint-trajectories. A first group (N = 93,23.7 %) presented only marginal improvement despite not using cannabis, while a second with no cannabis use and a third group with low-decreasing use showed clinical amelioration. Among those with baseline harmful cannabis use, a fourth group progressively discontinued use and improved clinically (N = 78,19.9 %). A fifth group with continued use did not significantly improve over follow-up (N = 74,18.8 %), and also had the highest odds of homelessness (OR = 22.5,95 %CI = 6.25-81.1) and childhood adversities (OR = 2.25,95 %CI = 1.71-2.97). There is substantial heterogeneity in the joint-trajectories of cannabis use and FEP outcomes. Our findings support the need for intervention aimed at cannabis reduction among heavy users. Multi-disciplinary, trauma-informed interventions may benefit those with persistent cannabis use, given its associations with childhood and social adversity.

Motivation in general, and social motivation in particular are important for interpersonal functioning in individuals with schizophrenia. Still, their roles after accounting for social cognition, are not well understood. The sample consisted of 147 patients with schizophrenia. General motivation was measured using the Behavioral inhibition/activation scale (BIS/BAS). Social motivation was measured by Passive social withdrawal and Active social avoidance items from PANSS. Interpersonal functioning was evaluated with Birchwood's Social Functioning Scale (SFS). We used Exploratory Graph Analysis for network estimation and community detection. Active social avoidance, passive social withdrawal, and social withdrawal/engagement (from SFS) were the most important nodes. In addition, three distinct communities were identified: Social cognition, Social motivation, and Interpersonal functioning. Notably, the BIS and BAS measures of general motivation were not part of any community. BAS showed stronger links to functioning than BIS. Passive social withdrawal was more strongly linked to interpersonal functioning than social cognitive abilities. Results suggest that social motivation, especially social approach, is more closely related to interpersonal functioning in schizophrenia than general motivation. In contrast, we found that general motivation was largely unrelated to social motivation. This pattern highlights the importance of type of motivation for understanding variability in interpersonal difficulties in schizophrenia.

Social factors can play an important role in the development and maintenance of psychosis. Clarifying this relationship is vital for advancing theoretical understanding and development of targeted interventions. Psychosis is increasingly researched with an experience sampling methodology (ESM), which provides an ecologically valid approach, that reduces recall biases. Studies examining momentary associations between social factors and psychosis have not yet been summarised.

We identified 29 ESM studies investigating associations between social factors and positive psychotic experiences through a pre-registered systematic search of the published literature.

Being alone did not predict increase in psychosis; however, appraisals and feelings associated with being alone such as feeling socially disconnected, lonely and unwanted did. Being with familiar company was found to reduce psychosis experiences but feeling stressed by the current company increased psychosis.

While issues with sample size and generalisability mean these results should be interpreted with caution, some putative conclusions can be made. Individuals with psychosis or emerging symptoms should be offered interventions that improve social networks such as peer support, community participation and engagement skills training. These individuals may also benefit from virtual reality or compassion-based interventions which aim to dampen perceived social threat. Moreover, digital interventions which monitor changes in social variables that predict relapse in symptoms would allow early intervention to prevent mental health crises.

Epigenetic changes are plausible molecular sources of clinical heterogeneity in schizophrenia. A subgroup of schizophrenia patients with elevated inflammatory or immune-dysregulation has been reported by previous studies. However, little is known about epigenetic changes in genes related to immune activation in never-treated first-episode patients with schizophrenia (FES) and its consistency with that in treated long-term ill (LTS) patients.

In this study, epigenome-wide profiling with a DNA methylation array was applied using blood samples of both FES and LTS patients, as well as their corresponding healthy controls. Non-negative matrix factorization (NMF) and k -means clustering were performed to parse heterogeneity of schizophrenia, and the consistency of subtyping results from two cohorts. was tested.

This study identified a subtype of patients in FES participants (47.5%) that exhibited widespread methylation level alterations of genes enriched in immune cell activity and a significantly higher proportion of neutrophils. This clustering of FES patients was validated in LTS patients, with high correspondence in epigenetic and clinical features across two cohorts.

In summary, this study demonstrated a subtype of schizophrenia patients across both FES and LTS cohorts, defined by widespread alterations in methylation profile of genes related to immune function and distinguishing clinical features. This finding illustrates the promise of novel treatment strategies targeting immune dysregulation for a subpopulation of schizophrenia patients.

People with schizophrenia (SCZ) and bipolar disorder (BD) have impairments in processing social information, including faces. The neural correlates of face processing are widely studied with the N170 ERP component. However, it is unclear whether N170 deficits reflect neural abnormalities associated with these clinical conditions or differences in social environments. The goal of this study was to determine whether N170 deficits would still be present in SCZ and BD when compared with socially isolated community members. Participants included 66 people with SCZ, 37 with BD, and 125 community members (76 "Community-Isolated"; 49 "Community-Connected"). Electroencephalography was recorded during a face processing task in which participants identified the gender of a face, the emotion of a face (angry, happy, neutral), or the number of stories in a building. We examined group differences in the N170 face effect (greater amplitudes for faces vs buildings) and the N170 emotion effect (greater amplitudes for emotional vs neutral expressions). Groups significantly differed in levels of social isolation (Community-Isolated > SCZ > BD = Community-Connected). SCZ participants had significantly reduced N170 amplitudes to faces compared with both community groups, which did not differ from each other. The BD group was intermediate and did not differ from any group. There were no significant group differences in the processing of specific emotional facial expressions. The N170 is abnormal in SCZ even when compared to socially isolated community members. Hence, the N170 seems to reflect a social processing impairment in SCZ that is separate from level of social isolation.

Research examining the healthy aging trajectory of retired older adults with multimorbidity is limited, leaving uncertainties regarding the optimal physical activity (PA) intensity and frequency necessary to sustain healthy aging during retirement.

Our study investigated the moderating effects of PA on the healthy aging trajectories of retired older adults living with multimorbidity in the United States (US). We utilized data from 1,238 retired individuals aged 50 to 102 who contributed 11,142 observations over 16 years from the Health and Retirement Study (HRS). We employed mixed effects modeling to assess the impact of various classes of multimorbidity on this group and examine how different PA, PA intensities, and PA frequencies influence the disability, physical, and cognitive functioning domains of healthy aging.

The results reveal that while outcomes differed significantly, retired older adults in the US attained healthy aging at baseline. However, their ability to maintain healthy aging declined over time, with multimorbidity, especially musculoskeletal and neurological conditions, accelerating this decline. Fortunately, PA, especially light to moderate intensities, is associated with improving healthy aging and moderating the impact of multimorbidity on the disability and cognitive functioning domains of healthy aging. However, the specific moderating effects of PA depend on its frequency, intensity, and chronic conditions.

The significant variability in healthy aging attainment among retired older adults underlies the need to consider these differences when addressing healthy aging issues in the US. Accounting for these variations would aid in evaluating the potential impact of future interventions and contribute to achieving health equity. Fortunately, our dynamic findings facilitate this objective by identifying specific frequencies and intensities of PA tailored to different aspects of multimorbidity and healthy aging. This highlights PA, especially light-to-moderate intensity, as an essential, cost-effective, and amenable strategy for alleviating the impact of multimorbidity on healthy aging.

Functional impairments contribute to poor quality of life in schizophrenia spectrum disorders (SSD). We sought to (Objective I) define the main functional phenotypes in SSD, then (Objective II) identify key biopsychosocial correlates, emphasizing interpretable data-driven methods. Objective I was tested on independent samples: Dataset I (N = 282) and Dataset II (N = 317), with SSD participants who underwent assessment of multiple functioning areas. Participants were clustered based on functioning. Objective II was evaluated in Dataset I by identifying key features for classifying functional phenotype clusters from among 65 sociodemographic, psychological, clinical, cognitive, and brain volume measures. Findings were replicated across latent discriminant analyses (LDA) and one-vs.-rest binomial regularized regressions to identify key predictors. We identified three clusters of participants in each dataset, demonstrating replicable functional phenotypes: Cluster 1-poor functioning across domains; Cluster 2-impaired Role Functioning, but partially preserved Independent and Social Functioning; Cluster 3-good functioning across domains. Key correlates were Avolition, anhedonia, left hippocampal volume, and measures of emotional intelligence and subjective social experience. Avolition appeared more closely tied to role functioning, and anhedonia to independent and social functioning. Thus, we found three replicable functional phenotypes with evidence that recovery may not be uniform across domains. Avolition and anhedonia were both critical but played different roles for different functional domains. It may be important to identify critical functional areas for individual patients and target interventions accordingly.

Among individuals living with psychotic disorders, social impairment is common, debilitating, and challenging to treat. While the roots of this impairment are undoubtedly complex, converging lines of evidence suggest that social motivation and pleasure (MAP) deficits play a key role. Yet most neuroimaging studies have focused on monetary rewards, precluding decisive inferences. Here we leveraged parallel social and monetary incentive delay fMRI paradigms to test whether blunted reactivity to social incentives in the ventral striatum-a key component of the distributed neural circuit mediating appetitive motivation and hedonic pleasure-is associated with more severe MAP symptoms in a transdiagnostic sample enriched for psychosis. To maximize ecological validity and translational relevance, we capitalized on naturalistic audiovisual clips of an established social partner expressing positive feedback. Although both paradigms robustly engaged the ventral striatum, only reactivity to social incentives was associated with clinician-rated MAP deficits. This association remained significant when controlling for other symptoms, binary diagnostic status, or ventral striatum reactivity to monetary incentives. Follow-up analyses suggested that this association predominantly reflects diminished striatal activation during the receipt of social reward. These observations provide a neurobiologically grounded framework for conceptualizing the social-anhedonia symptoms and social impairments that characterize many individuals living with psychotic disorders and underscore the need to establish targeted intervention strategies.