Prediction of psychosis: setting the stage

Clinical symptoms of the prodromal stage preceding serious mental illness in Taiwanese young adults: a qualitative study

BACKGROUND

Serious mental illnesses significantly contribute to the global health burden. The prodromal stage, marked by subclinical symptoms that impair daily functioning but do not meet full diagnostic criteria, often precedes the onset of serious mental illness. This stage can vary across regions, cultures, and demographics. High false-positive rates and low conversion rates to diagnosed mental disorders may increase stigmatization and delay timely care. This study aimed to explore the prodromal symptoms preceding serious mental illness in Taiwanese young adults.

METHODS

A qualitative research design was employed, with semi-structured interviews conducted every three months until illness onset. Thirty-six individuals (aged 16-35) identified as ultra-high risk for psychosis were recruited from a psychiatric outpatient unit in central Taiwan over a two-year recruitment period. Among them, 24 participants who had developed a serious mental illness (9 with schizophrenia, 5 with bipolar disorders, and 10 with major depressive disorder) were included in the analysis. Data from these participants were analyzed using qualitative content analysis to explore their prodromal experiences and symptoms. The study adhered to the trustworthiness criteria, including credibility, transferability, dependability, and confirmability.

RESULTS

The 24 participants had an average age of 22.83 years, including 8 males and 16 females. Analysis of 52 interviews identified five primary themes and 16 sub-themes: sleep disturbances leading to fatigue, terror caused by confusion between reality and hallucinations, indecision due to cyclic fluctuations in control, gradual loss in sadness and despair, and experiences of self-denial and uncertainty. This study provides valuable insights for the early screening of prodromal symptoms of serious mental illness in Taiwan.

CONCLUSIONS

The findings may assist early detection, support interventions to prevent or delay the onset of serious mental illness, and reduce the individual, familial, and societal burdens associated with mental disorders.

CLINICAL TRIAL NUMBER

Not applicable.

Salivary cortisol measures across the clinical stages of psychosis: An individual participant data (IPD) meta-analysis

BACKGROUND

Studies of salivary cortisol levels in psychosis have yielded inconsistent findings, which may be attributable to heterogeneity in cortisol measurement, illness stage, and approaches to dealing with sampling factors and potential confounders. To address these issues, we performed an individual participant data (IPD) meta-analysis comparing individuals at different stages of psychosis to controls using five different salivary cortisol measures and explored potential effect modifiers.

METHODS

Salivary cortisol data from five London-based cohorts were used to derive the cortisol awakening response, total daytime cortisol output, basal cortisol, and diurnal slope measures (wake-to-evening and peak-to-evening). Linear regression models were first performed to obtain standardised beta coefficients (β), representing the difference in each cortisol metric between each clinical stage group (cases) and healthy individuals (controls) after accounting for relevant sampling factors; we then used random-effects meta-analyses and meta-regression models to investigate the effect of psychosis stage and sample characteristics on effect sizes.

RESULTS

Data were available for 352 individuals distributed across psychosis clinical stages (1a - distress disorder: N = 35; 1b - clinical high-risk for psychosis: N = 90; 2a - first-episode psychosis: N = 197; 2b - single episode remitted: N = 5; 3 - relapsing/remitting illness: N = 18; 4 - severe and persistent illness: N = 7) and 292 controls. A significant overall main effect of clinical stage on peak-to-evening diurnal slope was observed (χ2=12.83, p = 0.025), with both the clinical high-risk (β=0.21, 95 % CI: 0.06, 0.36) and first-episode psychosis (β=0.20, 95 % CI: 0.10, 0.31) groups characterised by flatter slopes than controls. The clinical stage groups and controls did not differ on any other cortisol measure. Several sample characteristics were significantly associated with diurnal slope effect sizes, but after accounting for clinical stage, only the association between mean age in cases and wake-to-evening diurnal slope retained significance.

CONCLUSION

Clinical high-risk and first-episode psychosis participants differed from healthy controls in the peak-to-evening diurnal cortisol slope. This measure has not been examined in these populations before, and its potential predictive and prognostic utility for psychotic disorders merits further investigation.

Smaller anterior hippocampal subfields in the early stage of psychosis

Hippocampal volume is smaller in schizophrenia, but it is unclear when in the illness the changes appear and whether specific regions (anterior, posterior) and subfields (CA1, CA2/3, dentate gyrus, subiculum) are affected. Here, we used a high-resolution T2-weighted sequence specialized for imaging hippocampal subfields to test the hypothesis that anterior CA1 volume is lower in early psychosis. We measured subfield volumes across hippocampal regions in a group of 90 individuals in the early stage of a non-affective psychotic disorder and 70 demographically similar healthy individuals. We observed smaller volume in the anterior CA1 and dentate gyrus subfields in the early psychosis group. Our findings support models that implicate anterior CA1 and dentate gyrus subfield deficits in the mechanism of psychosis.

The added value of daily diary data in 1- and 3-year prediction of psychopathology and psychotic experiences in individuals at risk for psychosis

This study aimed to assess whether adding information on psychological experiences derived from a daily diary to baseline cross-sectional data could improve short- (1-year) and long-term (3-years) prediction of psychopathology and positive psychotic experiences (PEs). We used 90-day daily diary data from 96 individuals in early subclinical risk stages for psychosis. Stepwise linear regression models were built for psychopathology and PEs at 1- and 3-years follow-up, adding: (1) baseline questionnaires, (2) the mean and variance of daily psychological experiences, and (3) individual symptom network density. We assessed whether similar results could be achieved with a subset of the data (7-14- and 30-days). The mean and variance of the diary improved model prediction of short- and long-term psychopathology and PEs, compared to prediction based on baseline questionnaires solely. Similar results were achieved with 7-14- and 30-day subsets. Symptom network density did not improve model prediction except for short-term prediction of PEs. Simple metrics, i.e., the mean and variance from 7 to 14 days of daily psychological experiences assessments, can improve short- and long-term prediction of both psychopathology and PEs in individuals in early subclinical stages for psychosis. Diary data could be a valuable addition to clinical risk prediction models for psychopathology development.

High blood levels of brain-derived neurotrophic factor (BDNF) mRNA in early psychosis are associated with inflammatory markers

The brain-derived neurotrophic factor (BDNF) single nucleotide polymorphism (SNP) rs6265C > T, Val66Met, affects BDNF secretion and has been related to inflammatory processes. Both the rs6265 and BDNF protein levels have been widely investigated in neuropsychiatric disorders with conflicting results. In the present study we examined BDNF mRNA expression in blood considering the SNP rs6265 and its relationship with inflammatory markers in the early stages of psychosis. The rs6265 genotype and blood BDNF mRNA levels were measured in 34 at-risk mental states (ARMS) individuals, 37 patients with first-episode psychosis (FEP) and 42 healthy controls (HCs) by quantitative PCR and reverse transcription (RT)-qPCR using validated TaqMan assays. We also obtained measures of interleukin-6 (IL6) mRNA levels, fibrinogen, neutrophil-to-lymphocyte ratio (NLR) and high-sensitivity C-reactive protein. We identified that BDNF mRNA levels were associated with the rs6265 genotype in an allele-dose-dependent manner, with low expression levels associated with the T allele (Met substitution). Thus, we controlled for the rs6265 genotype in all analyses. Blood BDNF mRNA levels differed between diagnostic groups: patients with FEP exhibited higher blood BDNF mRNA levels than ARMS individuals, and the lowest levels were observed in HC. In addition, we observed significant correlations between BDNF mRNA levels and inflammatory markers (IL6 mRNA levels and NLR), controlled by the rs6265 genotype, in ARMS and FEP groups. This exploratory study suggests that the rs6265 genotype is associated with differential blood mRNA expression of BDNF that increases with illness progression and correlated with inflammation in the early stages of psychosis.

Gradual Increase in Inflammation-Linked Glycoproteins and a Proatherogenic Lipoprotein Profile in the Early Stages of Psychosis as Characterized by 1H NMR Blood Analysis

Minimally invasive prognostic markers of inflammation and dyslipidemia in individuals with a risk of psychosis, also called "at-risk mental state" (ARMS), or in the first episode of psychosis (FEP) are of utmost clinical importance to prevent cardiovascular disorders. We analyzed the plasma concentration of inflammation-linked glycoproteins (Glycs) and lipoprotein subclasses by proton nuclear magnetic resonance (¹H NMR) in a single acquisition. Study participants were healthy controls (HCs, N = 67) and patients with ARMS (N = 58), FEP (N = 110), or early psychosis diagnosis with ≥2 episodes (critical period (CP), N = 53). Clinical biomarkers such as high-sensitivity C-reactive protein, interleukin 6, fibrinogen, insulin, and lipoproteins were also measured. Although all participants had normal lipoprotein profiles and no inflammation according to conventional biomarkers, a gradual increase in the Glyc ¹H NMR levels was observed from HCs to CP patients; this increase was statistically significant for GlycA (CP vs HC). In parallel, a progressive and significant proatherogenic ¹H NMR lipoprotein profile was also identified across stages of psychosis (ARMS and CP vs HC). These findings highlight the potential of using ¹H NMR Glyc and lipoprotein profiling to identify blood changes in individuals with ARMS or FEP and pave the way for applications using this technology to monitor metabolic and cardiovascular risks in clinical psychiatry.

The Actigraphy-Based Identification of Premorbid Latent Liability of Schizophrenia and Bipolar Disorder

(1) Background and Goal: Several studies have investigated the association of sleep, diurnal patterns, and circadian rhythms with the presence and with the risk states of mental illnesses such as schizophrenia and bipolar disorder. The goal of our study was to examine actigraphic measures to identify features that can be extracted from them so that a machine learning model can detect premorbid latent liabilities for schizotypy and bipolarity. (2) Methods: Our team developed a small wrist-worn measurement device that collects and identifies actigraphic data based on an accelerometer. The sensors were used by carefully selected healthy participants who were divided into three groups: Control Group (C), Cyclothymia Factor Group (CFG), and Positive Schizotypy Factor Group (PSF). From the data they collected, our team performed data cleaning operations and then used the extracted metrics to generate the feature combinations deemed most effective, along with three machine learning algorithms for categorization. (3) Results: By conducting the training, we were able to identify a set of mildly correlated traits and their order of importance based on the Shapley value that had the greatest impact on the detection of bipolarity and schizotypy according to the logistic regression, Light Gradient Boost, and Random Forest algorithms. (4) Conclusions: These results were successfully compared to the results of other researchers; we had a similar differentiation in features used by others, and successfully developed new ones that might be a good complement for further research. In the future, identifying these traits may help us identify people at risk from mental disorders early in a cost-effective, automated way.

Kinesthesia and Temporal Experience: On the 'Knitting and Unknitting' Process of Bodily Subjectivity in Schizophrenia

This paper proposes a phenomenological hypothesis that psychosis entails a disturbance of the two-fold process of the indication function of kinesthesia and the presentification function of touch that affects the constitution of bodily subjectivity. Recent functional connectivity studies showed that the increased synchrony between the right anterior insula and the default mode network are associated with psychosis. This association is proposed to be correlated with the disrupted dynamics between the pre-reflective and reflective temporal experience in psychotic patients. The paper first examines the dynamic nature of kinesthesia and the influence touch and vision exert on it, and then the reciprocal influence with temporal experience focusing on the body's cyclic sense of temporality and its impact on physiology and phenomenology. Affectivity and self-affection are considered in their basic bodily expressions mainly through the concepts of responsivity and receptivity. The overall constitutive processes referred to throughout the article are proposed as a roadmap to develop body-based therapeutic work.

[Validation of a French version of the 16-item Prodromal Questionnaire (fPQ16) in adolescents and young adults seeking help]

INTRODUCTION

The duration of untreated psychosis has been largely associated with poor outcomes in psychosis. Actual diagnostic tools may be used by very specialized teams and need sustained evaluation. We present a French version of a self-report questionnaire: the 16-item Prodromal Questionnaire (fPQ16). Our objective was to evaluate its predictive value for an ultra-high-risk state (UHR) or psychosis. The population enrolled was consulting in a young adults and adolescents center in Sainte-Anne hospital, Paris, France.

METHODS

PQ16 had first been translated into French and independently back translated and validated by the original authors. Between November 2016 and May 2018, every C'JAAD consulting patient was proposed to fill in the fPQ16. Each patient was next evaluated with the French version of the comprehensive assessment of at-risk mental state (CAARMS), which detects UHR or psychosis. Statistical analysis of fPQ16 concurrent validity was performed using ROC curves. fPQ16 acceptability was studied by four additional questions especially designed for that purpose.

RESULTS

One hundred participants were included. Mean age was 19.85years (SD 3.3 y). Fifty-eight percent of patients included were diagnosed with UHR (40%) or psychotic (18%) state after CAARMS evaluation. Mean score at fPQ16 was 5.7 (SD 3.8). Best cut-off score was 4 positive items, with excellent sensibility (91%) and correct specificity (60%). Positive predictive value of fPQ16 was 76%. Area under the curve was 0.85 (P<0.0001). fPQ16 showed good acceptability.

DISCUSSION

fPQ16 had good screening performances in our population. Cut-off score was lower than in previous studies, but performances were equal or better. As a well-accepted and short questionnaire, the fPQ16 could be a great screening tool in primary care. A version with 18-items, including two items focused on thought content and disorganization that are missing in PQ16, is under evaluation.

Empathy and Its Relationship With Social Functioning in Individuals at Ultra-High Risk for Psychosis

Introduction: Social functioning is often impaired in the ultra-high-risk (UHR) phase of psychosis. There is some evidence that empathy is also impaired in this phase and that these impairments may underlie difficulties in social functioning. The main aim of this study was to investigate whether cognitive and affective empathy are lower in people in the UHR phase of psychosis in comparison to healthy controls, and whether possible impairments have the same magnitude as in people with schizophrenia. A second aim was to examine whether there is a relationship between empathy and social functioning in individuals in the UHR phase. Method: Forty-three individuals at UHR for psychosis, 92 people with a schizophrenia spectrum disorder, and 49 persons without a psychiatric disorder completed the Interpersonal Reactivity Index (IRI), Questionnaire of Cognitive and Affective Empathy (QCAE), and Faux Pas as instruments to measure empathy. The Time Use survey was used to measure social functioning. MAN(C)OVA was used to analyse differences between groups on empathy and social functioning, and correlations were calculated between empathy measures and social functioning for each group. Results: The UHR group presented significantly lower levels of self-reported cognitive empathy than the healthy controls, but not compared to patients with SSD, while performance-based cognitive empathy was unimpaired in the UHR group. On the affective measures, we found that people with UHR and patients with SSD had significantly higher levels of self-reported distress in interpersonal settings compared to healthy controls. In the UHR group, perspective-taking was negatively associated with time spent on structured social activities. In the SSD group, we found that structured social activities were positively associated with perspective-taking and negatively associated with personal distress in interactions with others. Lastly, in people without mental illness, social activities were positively associated with performance-based perspective-taking. Conclusion: Impairments in subjective cognitive empathy appear to be present in the UHR phase, suggesting that difficulties in interpreting the thoughts and feelings of others precede the onset of psychotic disorders. This can inform future interventions in the UHR phase.

Triple Network Model Dynamically Revisited: Lower Salience Network State Switching in Pre-psychosis

Emerging evidence has attributed altered network coordination between the default mode, central executive, and salience networks (DMN/CEN/SAL) to disturbances seen in schizophrenia, but little is known for at-risk psychosis stages. Moreover, pinpointing impairments in specific network-to-network interactions, although essential to resolve possibly distinct harbingers of conversion to clinically diagnosed schizophrenia, remains particularly challenging. We addressed this by a dynamic approach to functional connectivity, where right anterior insula brain interactions were examined through co-activation pattern (CAP) analysis. We utilized resting-state fMRI in 19 subjects suffering from subthreshold delusions and hallucinations (UHR), 28 at-risk for psychosis with basic symptoms describing only self-experienced subclinical disturbances (BS), and 29 healthy controls (CTR) matched for age, gender, handedness, and intelligence. We extracted the most recurring CAPs, compared their relative occurrence and average dwell time to probe their temporal expression, and quantified occurrence balance to assess the putative loss of competing relationships. Our findings substantiate the pivotal role of the right anterior insula in governing CEN-to-DMN transitions, which appear dysfunctional prior to the onset of psychosis, especially when first attenuated psychotic symptoms occur. In UHR subjects, it is longer active in concert with the DMN and there is a loss of competition between a SAL/DMN state, and a state with insula/CEN activation paralleled by DMN deactivation. These features suggest that abnormal network switching disrupts one's capacity to distinguish between the internal world and external environment, which is accompanied by inflexibility and an excessive awareness to internal processes reflected by prolonged expression of the right anterior insula-default mode co-activation pattern.

Methamphetamine use in an early psychosis service: a cross-sectional retrospective cohort study

OBJECTIVE

Methamphetamine-associated psychotic symptoms are common among regular users, and can overlap with the emergence of a primary psychotic disorder. In contrast to previous research, this retrospective observational study aims to describe the characteristics of young people experiencing early psychosis who use methamphetamine regularly. We also aimed to investigate associations between regular methamphetamine use and markers of psychosocial functioning, psychosis outcomes and substance use.

METHOD

This study involved 116 young people (19 using methamphetamine regularly) referred to the Camperdown Early Intervention in Psychosis Service from January 2015 to January 2016. Variables including demographic information, psychosocial functioning and psychosis outcomes were collected on referral to the service, updated throughout treatment and at discharge.

RESULTS

There were significant associations found between regular methamphetamine use and a criminal history (p<0.001), regular cannabis use (p=0.002) and regular nicotine use (p<0.001).

CONCLUSION

This study suggests that in early psychosis, regular methamphetamine use could signify a subgroup of young people who use multiple substances and may engage in criminal activity. Addressing substance use in early psychosis may be an important treatment target for this vulnerable group of young people.

Increased levels of serum leptin in the early stages of psychosis

BACKGROUND

Studies evaluating leptin levels in patients with first-episode psychoses (FEP) have been inconclusive, and apparently, the high levels of leptin reported in patients with schizophrenia may be associated with weight gain. The aim of this study was to evaluate leptin levels at the early stages of the disease and the relationship between leptin and lifestyle habits, stress-related variables and metabolic parameters.

METHODS

In total, 14 at-risk mental state (ARMS) patients, 39 FEP patients, 32 psychotic patients in the critical period (CP) and 21 healthy controls (HCs) were assessed. Anthropometric and biochemical parameters, as well as dietary intake, physical activity, stress-related variables and symptomatology, were collected.

RESULTS

Leptin levels were higher in the ARMS, FEP and CP patients than in the HCs. After controlling for age, sex, BMI, physical exercise, tobacco use and dietary intake, the highest differences in leptin levels were observed between the ARMS patients and HCs (p = 0.025). In the whole sample, leptin levels were positively correlated with BMI (p < 0.001), waist circumference (p < 0.001), insulin levels (p = 0.020), levels of the inflammatory marker IL-6 (p = 0.007) and energy intake (p = 0.043) and negatively correlated with HDL cholesterol (p = 0.018). Interestingly, energy intake and food craving scores were positively correlated with levels of leptin only in females (p = 0.022 and p = 0.036, respectively).

DISCUSSION

The present study detected increased leptin levels in the early stages of psychosis and significant correlations between leptin levels and anthropometric, lipid, hormone, and cytokine parameters. We found higher leptin levels in women, and we identified dietary intake habits associated with leptin exclusively in females that advocate considering sex in future studies.

Brain regional homogeneity and function connectivity in attenuated psychosis syndrome -based on a resting state fMRI study

BACKGROUND

By combining regional homogeneity (ReHo) and functional connectivity (FC) analyses, this study aimed to explore brain functional alterations in Attenuated Psychosis Syndrome (APS), which could provide complementary information for the neurophysiological indicators for schizophrenia (SZ) associated brain dysfunction.

METHODS

Twenty-one APS subjects and twenty healthy controls were enrolled in the data acquisition of demographics and clinical characteristics as well as structural and resting-state functional magnetic resonance imaging (rs-fMRI). ReHo analysis was conducted to determine the peak coordinate of the abnormal regional brain activity. Then, identified brain regions were considered as seed regions and were used to calculate FC between reginal brain voxels and whole brain voxels. Finally, potential correlations between imaging indices and clinical data were also explored.

RESULTS

Four APS and two HC subjects were excluded because the largest dynamic translation or rotation had exceeded 2 mm / 2°. Compared with healthy controls (HCs), APS subjects exhibited higher ReHo values in the right middle temporal gyrus (MTG) and lower ReHo values in the left middle frontal gyrus (MFG), left superior frontal gyrus (SFG), left postcentral gyrus (PoCG), and left superior frontal gyrus, medial (SFGmed). Considered these areas as seed regions, the APS subjects showed abnormal enhancement in functional brain connections, predominantly in the frontal and temporal lobes.

CONCLUSIONS

We concluded that the APS subjects had spatially regional dysfunction and remoted synchronous dysfunction in the frontal and temporal lobes of the brain, and changes in ReHo and FC patterns may reveal the mechanism of brain dysfunctions and may serve as an imaging biomarker for the diagnosis and evaluation of SZ.

Clinical staging in severe mental disorders; bipolar disorder, depression and schizophrenia

Clinical staging is a diagnostic tool used in other medical specialties, which has resulted from the combination of a categorical and dimensional approach. In the last 2decades, the usefulness of its application in the field of psychiatry has been suggested, mainly as a tool for diagnostic help, and therapeutic and prognostic orientation. In this paper we review the clinical staging models that have been proposed to date for bipolar disorder, depression and schizophrenia. A literature search was performed in PubMed and Medline databases. A total of 15 studies were selected according to inclusion and exclusion criteria. Models were grouped according to the type of disorder for which staging was proposed (bipolar disorder: 4, depression: 5, schizophrenia: 6), and their characteristics were described. As a conclusion, we identify the need to empirically validate these models to demonstrate that staging is a useful tool for clinical practice.

Dopamine in high-risk populations: A comparison of subjects with 22q11.2 deletion syndrome and subjects at ultra high-risk for psychosis

Striatal dopamine (DA) dysfunction has been consistently reported in psychotic disorders. Differences and similarities in the pathogenesis between populations at clinical and genetic risk for developing psychosis are yet to be established. Here we explored markers of dopamine (DA) function in subjects meeting clinically ultra-high risk criteria for psychosis (UHR) and in subjects with 22q11.2 deletion syndrome (22q11DS), a genetic condition associated with significant risk for developing psychotic disorders. Single Photon Emission Computed Tomography (SPECT) with ¹²³I-labelled iodobenzamide ([¹²³I]IBZM) was used to measure striatal DA D_2/3 receptor binding potential (D₂R BP_ND). Also, peripheral DAergic markers were assessed in serum and urine (plasma prolactin (pPRL), plasma homovanillic acid (pHVA) and urine DA(uDA)). No significant difference in striatal D₂R BP_ND was found between UHR and 22q11DS subjects. Compared to UHR subjects, pPRL and pHVA were lower and uDA levels were higher in the 22q11DS subjects. However, after correcting for age and gender, only pPRL as significantly lower in the 22q11DS patients. These results may suggest that there are differences in DAergic markers between subjects with UHR and with 22q11DS that may reflect differences in the pathways to psychosis. However, bigger samples are needed to replicate these findings.

At-risk mental state for psychosis: identification and current treatment approaches

The concept of an ‘at-risk mental state’ for psychosis arose from previous work attempting to identify a putative psychosis prodrome. In this article we summarise the current criteria used to identify ‘at-risk’ individuals, such as the ultra-high-risk (UHR) criteria, and the further identification of important clinical risk factors or biomarkers to improve prediction of who might develop a psychotic disorder. We also discuss important ethical issues in classifying and treating at-risk individuals, current treatment trials in this area and what treatment current services can offer.

First-episode psychosis: primary care experience and implications for service development

Aim and Methods

To capture the local primary care experience of first-episode psychosis before developing a local early intervention in psychosis service. A survey of Northamptonshire general practitioners (GPs) using a confidential questionnaire was carried out.

Results

Out of 284 GPs, 123 (43%) responded. General practitioners are unlikely to start treatment before referring to a specialist service: 63 GPs (51% of responders) start treatment in 10% or less of individuals with first-episode psychosis and 19 (15.5%) GPs start treatment in 75% or more before referring them to psychiatric service; 42 GPs (34%) refer those who request/accept a referral and 66 GPs (53%) refer all even if they refuse. Overall, 92 GPs (74%) agreed that an early intervention in psychosis service is needed and 77 (63%) GPs welcome having a mental health clinic in their surgery.

Clinical Implications

Individuals are more likely to accept referral to a psychiatric service if offered than to ask for it. People disengaging, stigma, the service being difficult to access/inappropriate and carers' lack of knowledge about mental illness are the likely causes for delayed referral.

Prevalence of psychopathology in children of parents with mental illness and/or addiction: an up to date narrative review

PURPOSE OF REVIEW

Children of parents with a mental illness and/or addiction are at high risk for developing a mental illness themselves. Parental mental illness is highly prevalent leading to a serious number of children at high risk. The aim of this review is to give an up-to-date overview of psychopathology in children of parents with various mental illnesses and/or addiction, based on recent literature.

RECENT FINDINGS

Worldwide, 15-23% of children live with a parent with a mental illness. These children have up to 50% chance of developing a mental illness. Parental anxiety disorder sets children at a more specific risk for developing anxiety disorder themselves, where children of parents with other mental illnesses are at high risk of a large variety of mental illnesses. Although preventive interventions in children of mentally ill parents may decrease the risk of problem development by 40%; currently, these children are not automatically identified and offered help.

SUMMARY

This knowledge should encourage mental health services to address the needs of these children which requires strong collaboration between Child and Adolescent Mental Health Services and Adult Mental Health Services. Directions for further research would be to include both parents, allow for comorbidity and to look deeper into a broader variety of mental illnesses such as autism and personality disorder other than borderline.

Higher than recommended dosages of antipsychotics in male patients with schizophrenia are associated with increased depression but no major neurocognitive side effects: Results of a cross-sectional pilot naturalistic study

INTRODUCTION

The current small pilot naturalistic cross-sectional study assesses whether higher dosages of antipsychotics are related to a satisfactory outcome concerning symptoms of schizophrenia but also to a worse outcome in terms of adverse events and neurocognitive function.

MATERIAL AND METHODS

41 male stabilized hospitalized schizophrenic patients were assessed by PANSS, Calgary Depression Rating Scale, UKU and Simpson-Angus Scale and a battery of neurocognitive tests. Medication and dosage was prescribed according to clinical judgement of the therapist.

RESULTS

Clinical variables and adverse events did not differ between patients in the recommended vs high dosage groups. Higher dosage correlated with depressive symptoms but there was no correlation with neurocognitive measures except for impaired concentration.

DISCUSSION

Results suggest that it is possible to achieve a good clinical response in refractory patients by exceeding recommended antipsychotic dosages at the price of depression and possible mild isolated concentration deficits but not other neurocognitive or extrapyramidal adverse events. Currently clinicians prefer first-generation antipsychotics when high dosages are prescribed, but considering the more favorable adverse effects profile of newer agents, it is important to study higher dosages of these agents and to test whether they should be preferably given when high dosages are necessary.

The International College of Neuropsychopharmacology (CINP) Treatment Guidelines for Bipolar Disorder in Adults (CINP-BD-2017), Part 1: Background and Methods of the Development of Guidelines

BACKGROUND

This paper includes a short description of the important clinical aspects of Bipolar Disorder with emphasis on issues that are important for the therapeutic considerations, including mixed and psychotic features, predominant polarity, and rapid cycling as well as comorbidity.

METHODS

The workgroup performed a review and critical analysis of the literature concerning grading methods and methods for the development of guidelines.

RESULTS

The workgroup arrived at a consensus to base the development of the guideline on randomized controlled trials and related meta-analyses alone in order to follow a strict evidence-based approach. A critical analysis of the existing methods for the grading of treatment options was followed by the development of a new grading method to arrive at efficacy and recommendation levels after the analysis of 32 distinct scenarios of available data for a given treatment option.

CONCLUSION

The current paper reports details on the design, method, and process for the development of CINP guidelines for the treatment of Bipolar Disorder. The rationale and the method with which all data and opinions are combined in order to produce an evidence-based operationalized but also user-friendly guideline and a specific algorithm are described in detail in this paper.

The impact of emotion awareness and regulation on social functioning in individuals at clinical high risk for psychosis

BACKGROUND

Social functioning (SF) difficulties are ubiquitous among individuals at clinical high risk for psychosis (CHR), but it is not yet clear why. One possibility is suggested by the observation that effective SF requires adaptive emotion awareness and regulation. Previous reports have documented deficits in emotion awareness and regulation in individuals with schizophrenia, and have shown that such deficits predicted SF. However, it is unknown whether these deficits are present prior to the onset of psychosis or whether they are linked to SF in CHR individuals.

METHOD

We conducted a cross-sectional comparison of emotion awareness and regulation in 54 individuals at CHR, 87 with schizophrenia and 50 healthy controls (HC). Then, within the CHR group, we examined links between emotion awareness, emotion regulation and SF as indexed by the Global Functioning Scale: Social (Cornblatt et al. 2007).

RESULTS

Group comparisons indicated significant differences between HC and the two clinical groups in their ability to identify and describe feelings, as well as the use of suppression and reappraisal emotion-regulation strategies. Specifically, the CHR and schizophrenia groups displayed comparable deficits in all domains of emotion awareness and emotion regulation. A hierarchical multiple regression analysis indicated that difficulties describing feelings accounted for 23.2% of the SF variance.

CONCLUSIONS

The results indicate that CHR individuals display substantial emotion awareness and emotion-regulation deficits, at severity comparable with those observed in individuals with schizophrenia. Such deficits, in particular difficulties describing feelings, predate the onset of psychosis and contribute significantly to poor SF in this population.

Obstacles to care in first-episode psychosis patients with a long duration of untreated psychosis

AIM

This qualitative study is a sub-study of the early 'Treatment and Intervention in Psychosis Study' (TIPS-2), a program for early intervention strategies for people experiencing a first episode of psychosis. We aimed to improve knowledge about factors that prevent or delay patients with a long duration of psychosis from accessing psychiatric health-care services at an earlier illness stage and their personal views on the impact of ongoing informational campaigns (ICs) on help-seeking behaviour.

METHOD

Following an interpretative-phenomenological approach, eight consecutive TIPS-2 patients with duration of untreated psychosis lasting for more than 6 months were interviewed. The interviews were analysed using a meaning condensation procedure.

RESULTS

Five main themes were identified: (i) participants' failure to recognize symptoms of psychosis; (ii) difficulties expressing their experiences; (iii) concerns about stigma; (iv) poor psychosis detection skills among health-care professionals; and (v) participants' lack of awareness or understanding of ICs.

CONCLUSIONS

The five themes identified may suggest that despite exposure to the targeted ICs, participants were unable to recognize or understand the severity of their symptoms. Further, although family members or others sometimes recognized the initial symptoms of psychosis development, these symptoms were attributed to reasons other than psychosis. Participants reported that health-care personnel also had trouble identifying emerging signs of psychosis. The ICs need to be carefully crafted to relay information to people who do not consider themselves as currently experiencing signs of psychosis.

Internet Addiction, Hikikomori Syndrome, and the Prodromal Phase of Psychosis

Computers, video games, and technological devices are part of young people's everyday lives. Hikikomori is a Japanese word describing a condition that mainly affects adolescents or young adults who live isolated from the world, cloistered within their parents' homes, locked in their bedrooms for days, months, or even years on end, and refusing to communicate even with their family. These patients use the Internet profusely, and only venture out to deal with their most imperative bodily needs. Although first described in Japan, cases have been described from around the world. This is the first published report from Canada. The disorder shares characteristics with prodromal psychosis, negative symptoms of schizophrenia, or Internet addiction, which are common differential or comorbid diagnoses. However, certain cases are not accompanied by a mental disorder. Psychotherapy is the treatment of choice although many cases are reluctant to present. The exact place of hikikomori in psychiatric nosology has yet to be determined. We searched Medline up to 12th May, 2015 supplemented by a hand search of the bibliographies of all retrieved articles. We used the following search terms: Hikikomori OR (prolonged AND social AND withdrawal). We found 97 potential papers. Of these 42 were in Japanese, and 1 in Korean. However, many of these were cited by subsequent English language papers that were included in the review. Following scrutiny of the titles and abstracts, 29 were judged to be relevant. Further research is needed to distinguish between primary and secondary hikikomori and establish whether this is a new diagnostic entity, or particular cultural or societal manifestations of established diagnoses.

Functional deterioration from the premorbid period to 2 years after the first episode of psychosis in early-onset psychosis

The aim of the study was to analyze changes in functional adjustment from childhood to 2 years after the first episode of psychosis (FEP) in patients with early-onset schizophrenia spectrum disorders (SSD) and affective psychoses (AFP) and a good or intermediate level of premorbid adjustment. We followed 106 adolescents (aged 12-17 years) with FEP for 2 years after recruitment. Premorbid adjustment in childhood was assessed in 98 patients with the childhood subscale of the Cannon-Spoor Premorbid Adjustment Scale (c-PAS). Global functioning was assessed 2 years after the FEP with the Children's Global Assessment Scale (c-GAS) or the Global Assessment of Functioning scale (GAF), as appropriate. Functional deterioration was defined as a downward shift in the level of functional adjustment from childhood to 2 years after the FEP. In patients with good or intermediate premorbid adjustment, functional deterioration was observed in 28.2 % (26.5 % of the AFP group, 29.4 % of the SSD group). Longer duration of untreated psychosis (Beta = 0.01; P = 0.01) and higher symptom severity at the FEP, as measured with the Clinical Global Impression Scale (Beta = 1.12; P = 0.02), significantly predicted the presence of functional deterioration, accounting for 21.4 % of the variance. Irrespective of diagnosis (SSD or AFP), almost one-third of adolescents with FEP and good or intermediate premorbid adjustment showed functional deterioration from the premorbid period to 2 years after the FEP.

Social Cognition in Individuals at Ultra-High Risk for Psychosis: A Meta-Analysis

Objective

Treatment in the ultra-high risk stage for a psychotic episode is critical to the course of symptoms. Markers for the development of psychosis have been studied, to optimize the detection of people at risk of psychosis. One possible marker for the transition to psychosis is social cognition. To estimate effect sizes for social cognition based on a quantitative integration of the published evidence, we conducted a meta-analysis of social cognitive performance in people at ultra high risk (UHR).

Methods

A literature search (1970-July 2015) was performed in PubMed, PsychINFO, Medline, Embase, and ISI Web of Science, using the search terms ‘social cognition’, ‘theory of mind’, ‘emotion recognition’, ‘attributional style’, ‘social knowledge’, ‘social perception’, ‘empathy’, ‘at risk mental state’, ‘clinical high risk’, ‘psychosis prodrome’, and ‘ultra high risk’. The pooled effect size (Cohen’s D) and the effect sizes for each domain of social cognition were calculated. A random effects model with 95% confidence intervals was used.

Results

Seventeen studies were included in the analysis. The overall significant effect was of medium magnitude (d = 0.52, 95% Cl = 0.38–0.65). No moderator effects were found for age, gender and sample size. Sub-analyses demonstrated that individuals in the UHR phase show significant moderate deficits in affect recognition and affect discrimination in faces as well as in voices and in verbal Theory of Mind (TOM). Due to an insufficient amount of studies, we did not calculate an effect size for attributional bias and social perception/ knowledge. A majority of studies did not find a correlation between social cognition deficits and transition to psychosis, which may suggest that social cognition in general is not a useful marker for the development of psychosis. However some studies suggest the possible predictive value of verbal TOM and the recognition of specific emotions in faces for the transition into psychosis. More research is needed on these subjects.

Conclusion

The published literature indicates consistent general impairments in social cognition in people in the UHR phase, but only very specific impairments seem to predict transition to psychosis.

Delusions and prediction error: re-examining the behavioural evidence for disrupted error signalling in delusion formation

INTRODUCTION

There is now significant evidence that prediction error signalling is mediated by dopamine in the midbrain, and that dopamine dysfunction is implicated in people experiencing psychotic symptoms, including delusions. There has also been significant theorizing and experimentation concerning the remaining link in this triad, namely that deviant prediction error signalling produces or maintains psychotic symptoms.

METHODS

The research supporting the link between prediction error signalling and delusional symptoms was reviewed. Numerous studies indirectly support this link, but only one set of studies claim to directly test this hypothesis by combining three crucial elements: a patient sample, a manipulation of prediction error and neuroimaging. This particular set of studies were examined in detail.

RESULTS

Important methodological limitations in these studies were observed, and a reinterpretation of their data was offered.

CONCLUSIONS

Methodological inconsistencies significantly weaken the claims made by these studies, but their data are consistent with current theorizing and they are instructive for future lines of inquiry in this field.

Formal thought disorder in autism spectrum disorder predicts future symptom severity, but not psychosis prodrome

Formal thought disorder (FTD) is a disruption in the flow of thought, which is inferred from disorganisation of spoken language. FTD in autism spectrum disorders (ASD) might be a precursor of psychotic disorders or a manifestation of ASD symptom severity. The current longitudinal study is a seven-year follow-up of 91 individuals aged 5-12 years with ASD. We tested (1) whether childhood FTD predicted prodromal symptoms of psychosis in adolescence and (2) whether childhood FTD was associated with greater ASD symptom severity in adolescence. ASD symptom severity was assessed in childhood (T1) and 7 years later (T2), using the autism diagnostic observation schedule (ADOS). At T1, the Kiddie-Formal Thought Disorder Rating Scale (KFTDS) was used to measure symptoms of FTD. At T2, the prodromal questionnaire (PQ) was used to assess prodromal symptoms of psychosis. FTD at T1 did not predict prodromal symptoms of psychosis at T2 in children with ASD. FTD symptoms at T1, namely illogical thinking, predicted ASD symptom severity at T2 and this effect remained significant after controlling for T1 ASD symptom severity. In children with ASD, illogical thinking predicts severity of ASD symptoms in adolescence, but FTD does not predict prodromal symptoms of psychosis.

Stress biomarkers as predictors of transition to psychosis in at-risk mental states: roles for cortisol, prolactin and albumin

Stress and inflammation are thought to play a role in the risk of developing a psychotic disorder. We aimed to identify stress-related biomarkers for psychosis transition in help-seeking individuals with an at-risk mental state (ARMS). We studied 39 ARMS subjects who were attending an Early Intervention Service. We included a control group of 44 healthy subjects (HS) matched by sex and age. Stressful life events and perceived stress were assessed. Stress-related biomarkers were determined in serum (cortisol, prolactin, C-reactive protein and albumin), plasma (fibrinogen) or saliva (morning cortisol, cortisol awakening response). All ARMS were followed-up at our Unit for at least one year. We divided the ARMS group into two subgroups based on the development of a psychotic disorder (ARMS-P, N = 10) or not (ARMS-NP, N = 29). ARMS-P reported more stressful life events and perceived stress than HS and ARMS-NP groups. In relation to baseline stress biomarkers, ARMS-P subjects had increased prolactin and lower albumin levels in serum, when compared to ARMS-NP and HS groups. These results did not change when repeated in a subsample of antipsychotic-naïve ARMS subjects. We also found significant differences between groups in the cortisol secretion after awakening. In a multinomial logistic regression adjusting for age, sex and life stress, prolactin was a predictor of psychosis transition whereas albumin levels had a protective effect. Our study underscores the role of stress and stress-related biomarkers (cortisol awakening response, prolactin and albumin) in the pathogenesis of psychosis.

Being in a process of transition to psychosis, as narrated by adults with psychotic illnesses acutely admitted to hospital

To assist in improving early interventions for psychosis, this study explored how adult people narrated their experience of becoming psychotic, and how contact with mental health personnel was established. Narrative interviews were conducted with 12 participants with psychotic illnesses recruited from acute psychiatric wards. The interviews were content analysed. Participants described being in a process of transition to psychosis as follows: experiencing changes as well-known signs of psychosis, experiencing sudden unexpected changes as signs of psychosis and experiencing unidentified changes as signs of illness. Our results show that participants and their close others who knew the signs of psychosis established a dialogue with mental health personnel and were better equipped to prevent and mitigate the psychosis. Our results demonstrate that participants who did not perceive the signs of psychosis and did not have other people to advocate for them were at risk for delayed treatment, poor communication and coercive interventions. Furthermore, participants who did not know the signs of psychosis perceived these changes as deterioration in their health and awareness of illness. We suggest that participants' experiential knowledge of transitioning to psychosis and an awareness of illness can be used to improve the communication during interventions for psychosis.

Aberrant coupling within and across the default mode, task-positive, and salience network in subjects at risk for psychosis

The task-positive network (TPN) is anticorrelated with activity in the default mode network (DMN), and possibly reflects competition between the processing of external and internal information, while the salience network (SN) is pivotal in regulating TPN and DMN activity. Because abnormal functional connectivity in these networks has been related to schizophrenia, we tested whether alterations are also evident in subjects at risk for psychosis. Resting-state functional magnetic resonance imaging was tested in 28 subjects with basic symptoms reporting subjective cognitive-perceptive symptoms; 19 with attenuated or brief, limited psychotic symptoms; and 29 matched healthy controls. We characterized spatial differences in connectivity patterns, as well as internetwork connectivity. Right anterior insula (rAI) was selected as seed region for identifying the SN; medioprefrontal cortex (MPFC) for the DMN and TPN. The 3 groups differed in connectivity patterns between the MPFC and right dorsolateral prefrontal cortex (rDLPFC), and between the rAI and posterior cingulate cortex (PCC). In particular, the typically observed antagonistic relationship in MPFC-rDLPFC, rAI-PCC, and internetwork connectivity of DMN-TPN was absent in both at-risk groups. Notably, those connectivity patterns were associated with symptoms related to reality distortions, whereas enhanced connectivity strengths of MPFC-rDLPFC and TPN-DMN were related to poor performance in cognitive functions. We propose that the loss of a TPN-DMN anticorrelation, accompanied by an aberrant spatial extent in the DMN, TPN, and SN in the psychosis risk state, reflects the confusion of internally and externally focused states and disturbance of cognition, as seen in psychotic disorders.

Cannabis and stimulant disorders and readmission 2 years after first-episode psychosis

BACKGROUND

Few studies have examined the impact of stimulant use on outcome in early psychosis. Ceasing substance use may lead to positive outcomes in psychosis.

AIMS

To examine whether baseline cannabis or stimulant disorders and ongoing drug use predict readmission within 2 years of a first psychosis admission.

METHOD

Predictors of readmission were examined with Cox regression in 7269 people aged 15-29 years with a first psychosis admission.

RESULTS

Baseline cannabis and stimulant disorders did not predict readmission. A stimulant disorder diagnosis prior to index psychosis admission predicted readmission, but a prior cannabis disorder diagnosis did not. Ongoing problem drug use predicted readmission. The lowest rate of readmission occurred in people whose baseline drug problems were discontinued.

CONCLUSIONS

Prior admissions with stimulant disorder may be a negative prognostic sign in first-episode psychosis. Drug use diagnoses at baseline may be a good prognostic sign if they are identified and controlled.

Shades of vulnerability: latent structures of clinical caseness in prodromal and early phases of schizophrenia

The underlying structures of clinical caseness and need of care in prodromal (i.e., at-risk) and early phases of schizophrenia remain poorly characterized in their essential psycho-behavioral coherence. To identify the schizophrenia proneness-related subtypes within a population of young help-seekers referred to a dedicated, community-based early detection program (Programma 2000). A sample of consecutive referrals (n = 168) for suspected psychosis or first-episode schizophrenia spectrum psychosis received a detailed clinical assessment, including the early recognition inventory for the retrospective assessment of the onset of schizophrenia checklist. We used exploratory factor analysis (EFA) to determine the underlying dimensional structure and latent class analysis (LCA) to identify putative vulnerability subtypes. EFA identified four factors: dysphoria (irritability tension), paranoid autocentrism, introversive withdrawal, and disturbed subjective experience. LCA distinguished three classes, interpretable as carrying different degrees of "proneness to schizophrenia psychosis," which best captured the underlying continuum of clinical severity. The validity of the three classes was supported by distinct patterns of association with major clinical variables (i.e., diagnostic staging at referral). Vulnerability to schizophrenia psychosis in young help-seekers may manifest in three major clinical prototypes, presenting common levels of dysphoria and social withdrawal but different degrees of paranoid autocentrism and disturbed subjective experience. Overall, the results provide the empirical background to dissect shared features of clinical caseness from more schizophrenia-specific vulnerability components. This is of value for the refinement of the clinical staging model as well as for the pragmatic implementation of multiple-gate screening programs.

Unhealthy lifestyle in early psychoses: the role of life stress and the hypothalamic-pituitary-adrenal axis

An unhealthy lifestyle is thought to contribute to the metabolic syndrome in subjects with psychoses. In the present study we aimed to study whether life stress or cortisol measures may influence dietary patterns in subjects with early stages of psychoses. We studied 81 subjects with early psychoses (65 subjects with a psychotic disorder [PD] and <5 years of illness; 16 subjects at risk for psychosis [high-risk, HR]) and a control group of 25 healthy subjects (HS). Dietary habits were examined by a dietician, who registered food intake (24h recall). Physical activity was assessed by validated questionnaire. Life stress was assessed with Holmes-Rahe Social Readjustment Scale. Fasting morning salivary and plasma cortisol levels were determined. We found that PD and HR reported an unhealthier lifestyle with more smoking, reduced physical activity and poorer dietary habits. HR reported increased intake of calories and saturated fatty acids and reduced protein consumption, when compared to HS. Life stress was a predictor of these adverse behaviours, although we found opposite associations in HR and PD. Life stress was associated with increased intake of refined sugar in PD and decreased intake in HR and HS. Salivary cortisol was related to increased intake of saturated fat only in HR subjects, but cortisol levels in plasma or saliva were not associated with other dietary habits or obesity measures (BMI, waist circumference). Our study suggests that unhealthy diet in early psychoses is influenced by stress, but our data do not support this effect being mediated by hypercortisolism. Future preventive interventions in psychosis may target dietary habits, particularly for those who are at risk for psychosis.

The development of psychotic disorders in adolescence: a potential role for hormones

This article is part of a Special Issue "Puberty and Adolescence". The notion that adolescence is characterized by dramatic changes in behavior, and often by emotional upheaval, is widespread and longstanding in popular western culture. In recent decades, this notion has gained increasing support from empirical research showing that the peri- and post-pubertal developmental stages are associated with a significant rise in the rate of psychiatric symptoms and syndromes. As a result, interest in adolescent development has burgeoned among researchers focused on the origins of schizophrenia and other psychotic disorders. Two factors have fueled this trend: 1) increasing evidence from longitudinal research that adolescence is the modal period for the emergence of "prodromal" manifestations, or precursors of psychotic symptoms, and 2) the rapidly accumulating scientific findings on brain structural and functional changes occurring during adolescence and young adulthood. Further, gonadal and adrenal hormones are beginning to play a more prominent role in conceptualizations of adolescent brain development, as well as in the origins of psychiatric symptoms during this period (Walker and Bollini, 2002; Walker et al., 2008). In this paper, we begin by providing an overview of the nature and course of psychotic disorders during adolescence/young adulthood. We then turn to the role of hormones in modulating normal brain development, and the potential role they might play in the abnormal brain changes that characterize youth at clinical high-risk (CHR) for psychosis. The activational and organizational effects of hormones are explored, with a focus on how hormone-induced changes might be linked with neuropathological processes in the emergence of psychosis.

Staging of mental disorders: systematic review

BACKGROUND

The staging method, whereby a disorder is characterized according to its seriousness, extension, development and features, is attracting increasing attention in clinical psychology and psychiatry. The aim of this systematic review was to critically summarize the tools that are available for reproducing and standardizing the clinical intuitions that are involved in a staging formulation.

METHODS

A comprehensive research was conducted on the MEDLINE, PsycINFO, EMBASE and Cochrane databases from inception to May 2012. The following search terms were used: 'stage/staging' AND 'psychiatric disorder/mental disorder/schizophrenia/mood disorder/anxiety disorder/substance use disorder/eating disorder'.

RESULTS

A total of 78 studies were identified for inclusion in the review. We discussed studies addressing or related to the issue of staging in a number of mental disorders (schizophrenia, unipolar depression, bipolar disorder, panic disorder, substance use disorders, anorexia and bulimia nervosa). The literature indicates that disorders have a longitudinal development or a treatment history that can be categorized according to stages. We proposed staging formulations for the above-mentioned psychiatric disorders.

CONCLUSION

Staging models offer innovative assessment tools for clinical psychologists and psychiatrists. Characterizing each stage of an illness demarcates major prognostic and therapeutic differences among patients who otherwise seem to be deceptively similar since they share the same psychiatric diagnosis. A stage 0 to denote an at-risk condition does not appear to be warranted at the current state of research.

Predicting the risk of psychosis onset: advances and prospects

AIM

To conduct a systematic review of the methods and performance characteristics of models developed for predicting the onset of psychosis.

METHODS

We performed a comprehensive literature search restricted to English articles and identified using PubMed, Medline and PsychINFO, as well as the reference lists of published studies and reviews. Inclusion criteria included the selection of more than one variable to predict psychosis or schizophrenia onset, and selection of individuals at familial risk or clinical high risk. Eighteen studies met these criteria, and we compared these studies based on the subjects selected, predictor variables used and the choice of statistical or machine learning methods.

RESULTS

Quality of life and life functioning as well as structural brain imaging emerged as the most promising predictors of psychosis onset, particularly when they were coupled with appropriate dimensionality reduction methods and predictive model algorithms like the support vector machine (SVM). Balanced accuracy ranged from 100% to 78% in four studies using the SVM, and 67% to 81% in 14 studies using general linear models.

CONCLUSIONS

Performance of the predictive models improves with quality of life measures, life functioning measures, structural brain imaging data, as well as with the use of methods like SVM. Despite these advances, the overall performance of psychosis predictive models is still modest. In the future, performance can potentially be improved by including genetic variant and new functional imaging data in addition to the predictors that are used currently.

The neuroanatomy of psychotic diathesis: a meta-analytic review

BACKGROUND

Several studies have found widespread structural changes affecting the grey matter at various stages of schizophrenia (the prodrome, first-episode, and the chronic stage). It is unclear which of these neuroanatomical changes are associated with a predisposition or vulnerability to develop schizophrenia rather than the appearance of the clinical features of the illness.

METHODS

16 voxel-based morphometry (VBM) analyses involving 733 genetically high-risk relatives (HRR) of patients with schizophrenia, 563 healthy controls and 474 patients were meta-analysed using the Signed Differential Mapping (SDM) technique. Two meta-analyses were conducted, with one comparing HRR group with healthy controls and the other comparing HRR group with the patients.

RESULTS

A significant grey matter reduction in the lentiform nucleus, amygdala/parahippocampal gyrus and medial prefrontal cortex was seen in association with the genetic diathesis. Grey matter reduction in bilateral insula, inferior frontal gyrus, superior temporal gyrus and the anterior cingulate was seen in association with the disease expression.

CONCLUSIONS

The neuroanatomical changes associated with the genetic diathesis to develop schizophrenia appear to be different from those that contribute to the clinical expression of the illness. Grey matter abnormalities in multimodal brain regions that have a supervisory function are likely to be central to the expression of the clinical symptoms of schizophrenia.

What does recovery from psychosis mean? Perceptions of young first-episode patients

BACKGROUND

This study explored the experience of first-episode psychosis from the patients' perspective and the meanings they attach to the illness and their recovery.

METHOD

A qualitative methodology was used based on a focus group. Audio tapes were transcribed verbatim and three researchers participated in a content analysis that identified four major themes: the meaning of psychosis and psychotic experience; the meaning of recovery; stigma; and having an optimistic view of recovery.

DISCUSSION

Participants' view of recovery was broader than that often held by psychiatrists, extending beyond symptom control and medication compliance, and they identified positive features that the experience of illness had brought. Their concerns included the side effects of medication and the fear of their illness being disclosed (to employers, university authorities, acquaintances, etc.) in the face of societal stigma.

CONCLUSION

Ideas about what constitutes recovery need to take account of patients' views and experience in order to emphasize therapeutic optimism rather than pessimism, and to inform treatment contexts and the views of medical staff.

Different hemodynamic response patterns in the prefrontal cortical sub-regions according to the clinical stages of psychosis

BACKGROUND

Symptomatic and functional outcomes in schizophrenia are associated with the duration of untreated psychosis. However, no candidate biomarkers have been adopted in clinical settings. Multichannel near-infrared spectroscopy (NIRS), which can easily and noninvasively measure hemodynamics over the prefrontal cortex, is a candidate instrument for clinical use.

AIMS

We intended to explore prefrontal dysfunction among individuals at different clinical stages, including ultra-high-risk (UHR), first-episode psychosis (FEP), and chronic schizophrenia (ChSZ), compared to healthy subjects.

METHOD

Twenty-two UHR subjects, 27 patients with FEP, 38 patients with ChSZ, and 30 healthy subjects participated. We measured hemodynamic changes during a block-designed letter fluency task using multichannel NIRS instruments.

RESULTS

We found that the activations of the bilateral ventrolateral prefrontal cortex, and the fronto-polar and anterior parts of the temporal cortical regions in the UHR group were lower than those of the controls, but similar to those of the FEP and ChSZ groups. However, the activations in the bilateral dorsolateral prefrontal cortex regions decrease with advancing clinical stage.

CONCLUSIONS

To the best of our knowledge, this is the first study directly comparing differences in hemodynamic changes with respect to the 3 clinical stages of psychosis. Furthermore, this study also demonstrates different patterns of impairment according to the progression of clinical stages using NIRS instruments. NIRS measurements for UHR and FEP individuals may be candidate biomarkers for the early detection of the clinical stages of psychosis.

Factor-structure of the Italian version of the Scale Of Prodromal Symptoms (SOPS): a comparison with the English version

AIMS

The 19-item 'Scale Of Prodromal Symptoms' (SOPS) and its semi-structured interview, the Structured Interview for Prodromal Symptoms (SIPS), have been developed to assess prodromes of psychosis. We assessed psychometric properties of the Italian version of the instrument.

METHODS

We collected socio-demographic and clinical data of 128 people seeking first-time psychiatric help in a large Roman area, either as outpatients at community facilities or as inpatients in psychiatric wards of two general hospitals. Participants were administered the Italian version of the SOPS and the 24-item Brief Psychiatric Rating Scale (BPRS). Data were analysed through Pearson's correlation and factorial analysis.

RESULTS

The English and Italian SOPS versions showed similar psychometric properties and factorial structure. The best-fit model was trifactorial, explaining 90% of total variance, and roughly corresponding to the positive, negative, and general dimensions, with disorganisation spreading over the other dimensions. Compared with the BPRS, the Italian version of the SOPS showed construct validity and convergent validity.

CONCLUSIONS

The factor-structure of the Italian version of the SOPS is similar to those of the English and Spanish versions, in that the factors emerged are the same (positive, negative, and general symptoms). The scale could be used to assess at-risk people in early intervention services.

Ultra high risk (UHR) for psychosis criteria: are there different levels of risk for transition to psychosis?

INTRODUCTION

The ultra high risk (UHR) for psychosis criteria have been validated in a number of studies. However, it is not known whether particular UHR criteria (Attenuated Psychotic Symptoms (APS), Brief Limited Intermittent Psychotic Symptoms (BLIPS) or Trait vulnerability criteria), or combination of criteria, is associated with a higher risk of transition to psychosis. The current study investigated this issue over a 6-month follow-up period. We hypothesised that the risk of transition would increase in the following order: Trait alone<APS alone < APS+Trait<BLIPS.

METHOD

Data on UHR intake criteria and transition to psychosis status at 6 months were analysed for UHR patients seen at the PACE clinic, Orygen Youth Health between January 2000 and November 2008.

RESULTS

A total of 928 new referrals were accepted into the PACE clinic over this period of whom 817 (88%) had baseline information available for analysis. The percentage of subjects who presented with APS, Trait and BLIPS were 83%, 27% and 4%, respectively. When the two intermediate groups (APS alone and APS+Trait) were combined, there was evidence that the risk of transition increased in the order of Trait alone<APS<BLIPS (p=0.024, adjusted analysis).

CONCLUSIONS

Our data suggest that UHR intake criteria predict transition over 6 months in the order of Trait alone<APS<BLIPS. The fact that BLIPS patients are at the highest risk of transition over the short term is consistent with the "early" versus "late" prodrome model. It also indicates that particular clinical attention may need to be paid to BLIPS patients, especially early in the course of treatment.

Efficacy of using cognitive status in predicting psychosis: a 7-year follow-up

BACKGROUND

Despite extensive early detection research in schizophrenic psychoses, methods for identifying at-risk individuals and predicting their transition to psychosis are still unreliable. Moreover, there are sparse data on long-term prediction. We therefore investigated long-term psychosis transition in individuals with an At Risk Mental State (ARMS) and examined the relative efficacy of clinical and neuropsychological status in optimizing the prediction of transition.

METHODS

Sixty-four individuals with ARMS for psychosis were identified from all referrals to our early detection clinic between March 1, 2000 and February 29, 2004. Fifty-three (83%) were followed up for up to 7 (mean 5.4) years.

RESULTS

Twenty-one of the 53 staying in follow-up developed psychosis, corresponding to a transition rate of .34 (Kaplan-Meier estimates). Median time to transition was 10 months (range <1-55). Six of all transitions (29%) occurred only after 12 months from referral. Best transition predictors within this population were selected attenuated psychotic symptoms (suspiciousness), negative symptoms (anhedonia/asociality), and cognitive deficits (reduced speed of information processing). With these predictors in an integrated model for predicting transition to psychosis, the overall predictive accuracy was 80.9% with a sensitivity of 83.3% and a specificity of 79.3%.

CONCLUSIONS

Follow-up of ARMS subjects should exceed the usual 12 months. Prediction of transitions could be improved by a stronger weighting of certain early symptoms and by introducing neurocognitive tests into a stepwise risk assessment. Confirmatory research will hopefully further improve risk algorithm, including psychopathology and neuropsychological performance, for clinical application in early detection clinics.