Differential Risk: Gender and Racial Differences in the Relationship between Trauma, Discrimination, and Schizotypy.

Traumatic experiences are associated with increased experiences of positive schizotypy. This may be especially important for People of Color, who experience higher rates of trauma and racial discrimination. No study to date has examined how racial disparities in traumatic experiences may impact schizotypy. Furthermore, of the studies that have examined the relationship between trauma and schizotypy, none have examined racial discrimination as a potential moderator. The present study examined if racial discrimination moderates the relationship between trauma and multidimensional (positive, negative, and disorganized) schizotypy. In a sample of 770 college students, we conducted chi-squared analyses, analyses of variance, and stepwise regressions. We found that Black students experienced significantly higher racial discrimination and trauma than Latinx and Asian students. Furthermore, Black and Latinx students experienced significantly more multidimensional schizotypy items than Asian students. Trauma and racial discrimination explained 8 to 23% of the variance in each dimension of schizotypy. Racial discrimination did not moderate the relationships between trauma and multidimensional schizotypy. Our findings suggest that we need to examine risk factors that may prevent recovery from psychotic disorders. Additionally, disorganized schizotypy showed the most robust associations and may be a critical site of intervention.

Alogia and pressured speech do not fall on a continuum of speech production using objective speech technologies.

Speech production is affected in a variety of serious mental illnesses (SMI; e.g., schizophrenia, unipolar depression, bipolar disorders) and at its extremes can be observed in the gross reduction of speech (e.g., alogia) or increase of speech (e.g., pressured speech). The present study evaluated whether clinically-rated alogia and pressured speech represent antithetical constructs when analyzed using objective metrics of speech production. We examined natural speech using acoustic and natural language processing features from two archival studies using several different speaking tasks and a combined 107 patients meeting criteria for SMI. Contrary to expectations, we did not find that alogia and pressured speech presented as opposing ends of a speech production continuum. Objective speech markers were associated with clinically rated alogia but not pressured speech, and these results were consistent across speaking tasks and studies. Implications for our understanding of speech production symptoms in SMI are discussed, as well as implications for Natural Language Processing and digital phenotyping efforts more generally.

Point of care testing to monitor INR control in patients with antiphospholipid syndrome.

Patients with antiphospholipid syndrome (APS) typically require lifelong warfarin anticoagulation following a thrombotic event due to a significant risk of recurrent thrombosis. Point of care testing (POCT) to monitor INR is discouraged in patients with APS as interactions between antiphospholipid antibodies and thromboplastin used for INR testing may influence results. Review of INR testing in 36 APS patients showed 87.2% of paired POCT and venous INRs (n = 94) having acceptable variation (≤0.5 difference), and high correlation (r = 0.9) excluding INRs ≥4.8. Six-month TTR was comparable for APS patients using POCT (57.1% ± 24.8%) to those using venous INR monitoring (59.2% ± 23.2%) (p = 0.66). These results support POCT management of APS but requires further study.

Talking about Health: A Topic Analysis of Narratives from Individuals with Schizophrenia and Other Serious Mental Illnesses.

Individuals with schizophrenia have higher mortality and shorter lifespans. There are a multitude of factors which create these conditions, but one aspect is worse physical health, particularly cardiovascular and metabolic health. Many interventions to improve the health of individuals with schizophrenia have been created, but on the whole, there has been limited effectiveness in improving quality of life or lifespan. One potential new avenue for inquiry involves a more patient-centric perspective; understanding aspects of physical health most important, and potentially most amenable to change, for individuals based on their life narratives. This study used topic modeling, a type of Natural Language Processing (NLP) on unstructured speech samples from individuals (n = 366) with serious mental illness, primarily schizophrenia, in order to extract topics. Speech samples were drawn from three studies collected over a decade in two geographically distinct regions of the United States. Several health-related topics emerged, primarily centered around food, living situation, and lifestyle (e.g., routine, hobbies). The implications of these findings for how individuals with serious mental illness and schizophrenia think about their health, and what may be most effective for future health promotion policies and interventions, are discussed.

Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation.

BACKGROUND AND HYPOTHESIS: Despite decades of "proof of concept" findings supporting the use of Natural Language Processing (NLP) in psychosis research, clinical implementation has been slow. One obstacle reflects the lack of comprehensive psychometric evaluation of these measures. There is overwhelming evidence that criterion and content validity can be achieved for many purposes, particularly using machine learning procedures. However, there has been very little evaluation of test-retest reliability, divergent validity (sufficient to address concerns of a "generalized deficit"), and potential biases from demographics and other individual differences. STUDY DESIGN: This article highlights these concerns in development of an NLP measure for tracking clinically rated paranoia from video "selfies" recorded from smartphone devices. Patients with schizophrenia or bipolar disorder were recruited and tracked over a week-long epoch. A small NLP-based feature set from 499 language samples were modeled on clinically rated paranoia using regularized regression. STUDY RESULTS: While test-retest reliability was high, criterion, and convergent/divergent validity were only achieved when considering moderating variables, notably whether a patient was away from home, around strangers, or alone at the time of the recording. Moreover, there were systematic racial and sex biases in the model, in part, reflecting whether patients submitted videos when they were away from home, around strangers, or alone. CONCLUSIONS: Advancing NLP measures for psychosis will require deliberate consideration of test-retest reliability, divergent validity, systematic biases and the potential role of moderators. In our example, a comprehensive psychometric evaluation revealed clear strengths and weaknesses that can be systematically addressed in future research.

Negative schizotypy attenuates the effect of momentary stress on social dysfunction related to COVID-19 social distancing.

Schizotypy is associated with a broad range of motivational and social dysfunctions. However, there is reason to suspect that negative schizotypy may limit social dysfunction in specific contexts that typically increase isolation and loneliness. We analyzed whether positive, negative and disorganized facets of schizotypy would mitigate detrimental reactions to stress in the context of a global stressor (the COVID-19 pandemic) that has widely necessitated social and physical isolation. Responses to two measures of schizotypy were compared to ecological momentary assessments of social dysfunction for 85 undergraduates using multilevel modelling techniques. Negative schizotypy moderated the relation between momentary stress and loss of social support, such that negative schizotypy limited the magnitude of social dysfunction stemming from increases in momentary stress. This pattern was not seen for other facets of schizotypy. Implications for the treatment and measurement of schizotypy symptoms are discussed.

Tumour detection and outcomes of surveillance screening in SDHB and SDHD pathogenic variant carriers.

OBJECTIVE: Succinate dehydrogenase subunit (SDHx) pathogenic variants predispose to phaeochromocytoma and paraganglioma (PPGL). Lifelong surveillance is recommended for all patients to enable prompt detection and treatment. There is currently limited evidence for optimal surveillance strategies in hereditary PPGL. We aim to detail the clinical presentation of PPGL in our cohort of non-index SDHB and SDHD pathogenic variant carriers. METHODS: Retrospective analysis of medical and genetic records from a single tertiary referral centre identified SDHB or SDHD pathogenic variants in 74 non-index cases (56 SDHB and 18 SDHD). Surveillance screening for asymptomatic relatives consisted of annual plasma metanephrine measurement and whole-body MRI with contrast at 3-5 yearly intervals. RESULTS: Twenty-three out of 74 non-index patients (10 SDHB and 13 SDHD) were diagnosed with PPGL, 17 patients through surveillance screening (24 tumours in total) and 6 diagnosed prior to commencement of cascade screening with symptomatic presentation. MRI with contrast identified PPGL in 22/24 screen-detected tumours and 5/24 tumours had elevated plasma metanephrine levels. Penetrance in non-index family members was 15.2 and 47.2% for SDHB carriers and 71.6 and 78.7% for SDHD carriers at age of 50 and 70 years, respectively. CONCLUSION: Surveillance screening with combined biochemical testing and imaging enables early detection of PPGL in asymptomatic relatives with SDHx pathogenic variants. The presence of disease at first screen was significant in our cohort and hence further multi-centre long-term data are needed to inform counselling of family members undergoing lifelong surveillance.

Computerized analysis of facial expressions in serious mental illness.

Blunted facial affect is a transdiagnostic component of Serious Mental Illness (SMI) and is associated with a host of negative outcomes. However, blunted facial affect is a poorly understood phenomenon, with no known cures or treatments. A critical step in better understanding its phenotypic expression involves clarifying which facial expressions are altered in specific ways and under what contexts. The current literature suggests that individuals with SMI show decreased positive facial expressions, but typical, or even increased negative facial expressions during laboratory tasks. While this literature has coalesced around general trends, significantly more nuance is available regarding what components facial expressions are atypical and how those components are associated with increased severity of clinical ratings. The present project leveraged computerized facial analysis to test whether clinician-rated blunted affect is driven by decreases in duration, intensity, or frequency of positive versus other facial expressions during a structured clinical interview. Stable outpatients meeting criteria for SMI (N = 59) were examined. Facial expression did not generally vary as a function of clinical diagnosis. Overall, clinically-rated blunted affect was not associated with positive expressions, but was associated with decreased surprise and increased anger, sadness, and fear expressions. Blunted affect is not a monolithic lack of expressivity, and increased precision in operationally defining it is critical for uncovering its causes and maintaining factors. Our discussion focuses on this effort, and on advancing digital phenotyping of blunted facial affect more generally.

High Predictive Accuracy of Negative Schizotypy With Acoustic Measures.

Negative schizotypal traits potentially can be digitally phenotyped using objective vocal analysis. Prior attempts have shown mixed success in this regard, potentially because acoustic analysis has relied on small, constrained feature sets. We employed machine learning to (a) optimize and cross-validate predictive models of self-reported negative schizotypy using a large acoustic feature set, (b) evaluate model performance as a function of sex and speaking task, (c) understand potential mechanisms underlying negative schizotypal traits by evaluating the key acoustic features within these models, and (d) examine model performance in its convergence with clinical symptoms and cognitive functioning. Accuracy was good (> 80%) and was improved by considering speaking task and sex. However, the features identified as most predictive of negative schizotypal traits were generally not considered critical to their conceptual definitions. Implications for validating and implementing digital phenotyping to understand and quantify negative schizotypy are discussed.

20-hydroxyeicosatetraenoic acid (20-HETE) is a pivotal endogenous ligand for TRPV1-mediated neurogenic inflammation in the skin.

BACKGROUND AND PURPOSE: Transient receptor potential cation channel subfamily V member 1 (TRPV1) is localized to sensory C-fibres and its opening leads to membrane depolarization, resulting in neuropeptide release and neurogenic inflammation. However, the identity of the endogenous activator of TRPV1 in this setting is unknown. The arachidonic acid metabolites 12-hydroperoxyeicosatetraenoyl acid (12-HpETE) and 20-hydroxyeicosatetraenoic acid (20-HETE) have emerged as potential endogenous activators of TRPV1. However, whether these lipids underlie TRPV1-mediated neurogenic inflammation remains unknown. EXPERIMENTAL APPROACH: We analysed human cantharidin-induced blister samples and inflammatory responses in TRPV1 transgenic mice. KEY RESULTS: In a human cantharidin-blister model, the potent TRPV1 activators 20-HETE but not 12-HETE (stable metabolite of 12-HpETE) correlated with arachidonic acid levels. Similarly, in mice, levels of 20-HETE (but not 12-HETE) and arachidonic acid were strongly positively correlated within the inflammatory milieu. Furthermore, LPS-induced oedema formation and neutrophil recruitment were substantially and significantly attenuated by pharmacological block or genetic deletion of TRPV1 channels, inhibition of 20-HETE formation or SP receptor neurokinin 1 (NK1 ) blockade. LPS treatment also increased cytochrome P450 ω-hydroxylase gene expression, the enzyme responsible for 20-HETE production. CONCLUSION AND IMPLICATIONS: Taken together, our findings suggest that endogenously generated 20-HETE activates TRPV1 causing C-fibre activation and consequent oedema formation. These findings identify a novel pathway that may be useful in the therapeutics of diseases/conditions characterized by a prominent neurogenic inflammation, as in several skin diseases.

Recency and intensification of positive symptoms enhance prediction of conversion to syndromal psychosis in clinical high-risk patients.

BACKGROUND: Early detection and intervention strategies in patients at clinical high-risk (CHR) for syndromal psychosis have the potential to contain the morbidity of schizophrenia and similar conditions. However, research criteria that have relied on severity and number of positive symptoms are limited in their specificity and risk high false-positive rates. Our objective was to examine the degree to which measures of recency of onset or intensification of positive symptoms [a.k.a., new or worsening (NOW) symptoms] contribute to predictive capacity. METHODS: We recruited 109 help-seeking individuals whose symptoms met criteria for the Progression Subtype of the Attenuated Positive Symptom Psychosis-Risk Syndrome defined by the Structured Interview for Psychosis-Risk Syndromes and followed every three months for two years or onset of syndromal psychosis. RESULTS: Forty-one (40.6%) of 101 participants meeting CHR criteria developed a syndromal psychotic disorder [mostly (80.5%) schizophrenia] with half converting within 142 days (interquartile range: 69-410 days). Patients with more NOW symptoms were more likely to convert (converters: 3.63 ± 0.89; non-converters: 2.90 ± 1.27; p = 0.001). Patients with stable attenuated positive symptoms were less likely to convert than those with NOW symptoms. New, but not worsening, symptoms, in isolation, also predicted conversion. CONCLUSIONS: Results suggest that the severity and number of attenuated positive symptoms are less predictive of conversion to syndromal psychosis than the timing of their emergence and intensification. These findings also suggest that the earliest phase of psychotic illness involves a rapid, dynamic process, beginning before the syndromal first episode, with potentially substantial implications for CHR research and understanding the neurobiology of psychosis.

Thematic content of obsessive and compulsive symptoms and conversion to psychosis in a clinical high-risk cohort.

AIM: We sought to explore the complex phenomenological overlap between obsessive and compulsive symptoms (OCS), and attenuated positive symptoms among 156 young people at clinical high-risk (CHR) for psychosis. METHODS: In order to explore the hypothesis that OCS of an implausible nature might optimally predict future transition to syndromal psychosis, ideas associated with obsessive and compulsive experiences elicited by clinical measures were thematically categorized as "plausible" or "implausible." RESULTS: While OCS were found to be common in our CHR sample, we did not find that implausible OCS themes were predictive of conversion. CONCLUSION: Given the absence of qualitative differences between OCS and early psychotic symptoms, we propose that clinicians encountering adolescent or young adult patients with new-onset OCD or OCS in the past year should monitor such symptoms for a minimum of 2 years to assess for the possible emergence of psychosis.

The (b)link between amotivation and psychosis: Insights through phasic eye blink rate.

Motivation deficits within Schizophrenia Spectrum Disorders (SSDs) are associated with abnormal striatal dopamine responses during reward processing. Eye blink rate (EBR) has been used as a proxy for striatal dopamine; however, it is unclear whether EBR is sensitive to individual differences in amotivation. Amotivation (clinician-rated and self-reported) and EBR during an effort-based reward task were assessed in 28 outpatients with SSDs. EBR was lower during more "active" task phases relative to rest periods. Higher EBR during reward anticipation was associated with lower self-reported, but not clinician-rated, motivation. These preliminary results support a task-engagement, rather than striatal dopamine, account of EBR.

Using machine learning of computerized vocal expression to measure blunted vocal affect and alogia.

Negative symptoms are a transdiagnostic feature of serious mental illness (SMI) that can be potentially "digitally phenotyped" using objective vocal analysis. In prior studies, vocal measures show low convergence with clinical ratings, potentially because analysis has used small, constrained acoustic feature sets. We sought to evaluate (1) whether clinically rated blunted vocal affect (BvA)/alogia could be accurately modelled using machine learning (ML) with a large feature set from two separate tasks (i.e., a 20-s "picture" and a 60-s "free-recall" task), (2) whether "Predicted" BvA/alogia (computed from the ML model) are associated with demographics, diagnosis, psychiatric symptoms, and cognitive/social functioning, and (3) which key vocal features are central to BvA/Alogia ratings. Accuracy was high (>90%) and was improved when computed separately by speaking task. ML scores were associated with poor cognitive performance and social functioning and were higher in patients with schizophrenia versus depression or mania diagnoses. However, the features identified as most predictive of BvA/Alogia were generally not considered critical to their operational definitions. Implications for validating and implementing digital phenotyping to reduce SMI burden are discussed.

Temporal relationship between onset of positive and negative symptoms in the course of attenuated psychotic illness.

Research in individuals at clinical high-risk (CHR) for psychosis has traditionally focused on the relationship between the severity of positive and negative symptoms and development of syndromal psychosis. In this study, we examined the temporal order of emergence of positive and negative symptoms in 116 CHR individuals who met criteria for the Attenuated Positive Symptom Syndrome defined in the Structured Interview for Psychosis-Risk Syndromes (SIPS). We found that positive symptoms emerged at a significantly younger age than negative symptoms with no significant differences between converters and non-converters. These findings may provide important information about the temporal phenomenology of CHR symptoms.

Schizotypal personality disorder in individuals with the Attenuated Psychosis Syndrome: Frequent co-occurrence without an increased risk for conversion to threshold psychosis.

The Attenuated Psychosis Syndrome (APS), proposed as a condition warranting further study in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), is a controversial diagnostic construct originally developed to identify individuals at clinical high-risk for psychosis. The relationship of APS and Schizotypal Personality Disorder (SPD) remains unclear with respect to their potential co-occurrence and the effect of SPD on risk for conversion to threshold psychosis. We examined the prevalence and effect on conversion of SPD in a cohort of 218 individuals whose symptoms met APS criteria. Results indicated that SPD was highly prevalent (68%), and that SPD did not influence risk for conversion. Rather, total positive symptom burden measured by the Structured Interview for Psychosis-Risk Syndromes (SIPS; OR 1.12, p = 0.02) emerged as the strongest predictor of conversion. These data suggest that when encountering a patient whose presentation meets SPD criteria, the clinician should assess whether APS criteria are also met and, for 1-2 years, carefully monitor positive symptoms for possible conversion to threshold psychosis.

Amygdalar volume and violent ideation in a sample at clinical high-risk for psychosis.

We previously demonstrated that violent ideation predicts both violent acts and eventual progression to syndromal psychosis in individuals at clinical high-risk for psychosis (CHR). We performed amygdalar surface morphometry analysis on MRI scans from 70 CHR individuals, 21 of whom had violent ideation, 49 of whom did not. CHR individuals with violent ideation have abnormal and asymmetric amygdalar volumes. These data suggest some commonalities in the genesis of violence and aggression among clinical populations, as well as that there may be specific neurobiological links between violence and psychosis.

"If they focus on giving us a chance in life we can actually do something in this world": Poverty, inequality, and youths' critical consciousness.

Critical consciousness (CC) has emerged as a framework for understanding how low-income and racial/ethnic minority youth recognize, interpret, and work to change the experiences and systems of oppression that they face in their daily lives. Despite this, relatively little is known about how youths' experiences with economic hardship and structural oppression shape how they "read their world" and motivate participation in critical action behaviors. We explore this issue using a mixed-methods design and present our findings in two studies. In Study 1 we examine the types of issues that a sample of low-income and predominantly racial/ethnic minority youth (ages 13-17) living in the Chicago area discuss when asked to reflect on issues that are important to them. The most commonly mentioned themes were community violence (59%), prejudice and intolerance (31%), world issues (25%), and economic disparities (18%). In Study 2 we examine youths' quantitative reports of engaging in critical action behavior; more than 65% had participated in at least one activity targeting social change in the previous 6 months. We then examined relationships between youths' experiences with poverty within their households and neighborhoods, neighborhood income inequality, and exposure to violence and youths' likelihood of participating in critical action behaviors. Greater exposure to violence and neighborhood income inequality were related to an increased likelihood of engaging in critical action behaviors. This work highlights the diverse ways that low-income and racial/ethnic minority youth reflect on societal inequality and their commitment to effecting change through sociopolitical participation. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Prevalence and phenomenology of violent ideation and behavior among 200 young people at clinical high-risk for psychosis: an emerging model of violence and psychotic illness.

In a previously reported longitudinal study of violent ideation (VI) and violent behavior (VB) among 200 youths at clinical high-risk (CHR) for psychosis, we found that VI, hitherto underinvestigated, strongly predicted transition to first-episode psychosis (FEP) and VB, in close temporal proximity. Here, we present participants' baseline characteristics, examining clinical and demographic correlates of VI and VB. These participants, aged 13-30, were examined at Columbia University Medical Center's Center of Prevention and Evaluation, using clinical interviews and the structured interview for psychosis-risk syndromes (SIPS). At the onset of our longitudinal study, we gathered demographics, signs and symptoms, and descriptions of VI and VB. One-third of participants reported VI (n = 65, 32.5%) at baseline, experienced as intrusive and ego-dystonic, and associated with higher suspiciousness and overall positive symptoms. Less than one-tenth reported VB within 6 months of baseline (n = 17, 8.5%), which was unrelated to SIPS-positive symptoms, any DSM diagnosis or other clinical characteristic. The period from conversion through post-FEP stabilization may be characterized by heightened risk of behavioral disinhibition and violence. We provide a preliminary model of how violence risk may peak at various points in the course of psychotic illness.

A predictive model for conversion to psychosis in clinical high-risk patients.

BACKGROUND: The authors developed a practical and clinically useful model to predict the risk of psychosis that utilizes clinical characteristics empirically demonstrated to be strong predictors of conversion to psychosis in clinical high-risk (CHR) individuals. The model is based upon the Structured Interview for Psychosis Risk Syndromes (SIPS) and accompanying clinical interview, and yields scores indicating one's risk of conversion. METHODS: Baseline data, including demographic and clinical characteristics measured by the SIPS, were obtained on 199 CHR individuals seeking evaluation in the early detection and intervention for mental disorders program at the New York State Psychiatric Institute at Columbia University Medical Center. Each patient was followed for up to 2 years or until they developed a syndromal DSM-4 disorder. A LASSO logistic fitting procedure was used to construct a model for conversion specifically to a psychotic disorder. RESULTS: At 2 years, 64 patients (32.2%) converted to a psychotic disorder. The top five variables with relatively large standardized effect sizes included SIPS subscales of visual perceptual abnormalities, dysphoric mood, unusual thought content, disorganized communication, and violent ideation. The concordance index (c-index) was 0.73, indicating a moderately strong ability to discriminate between converters and non-converters. CONCLUSIONS: The prediction model performed well in classifying converters and non-converters and revealed SIPS measures that are relatively strong predictors of conversion, comparable with the risk calculator published by NAPLS (c-index = 0.71), but requiring only a structured clinical interview. Future work will seek to externally validate the model and enhance its performance with the incorporation of relevant biomarkers.