Race/ethnicity and socioeconomic status as predictors of outcome following family therapy in youth at clinical high risk for psychosis.

AIM: There is limited research on the effects of sociodemographic and socioeconomic factors on treatment outcomes in youth at clinical high risk for psychosis (CHRp). This study examined sociodemographic factors that may affect functional outcomes within this population. Specifically, we investigated the influence of race/ethnicity (dichotomized as non-Hispanic whites [NHW] vs. people of colour [POC]), socioeconomic status (SES; operationalized as parental years of education), and their interaction on change in psychosocial functioning and symptoms over 6 months in a randomized trial of family-focused therapy. METHODS: CHRp youth (N = 128) participated in a randomized trial of family therapy (18 sessions of family therapy vs. 3 sessions of family psychoeducation). Sixty-four participants who self-identified as POC and 64 self-identified NHW participants completed baseline and 6-month follow-up measures of positive and negative symptoms and psychosocial (global, role, and social) functioning. Multiple regression models were conducted to test the main effect of race/ethnicity on changes in positive and negative symptoms and functioning, and whether this effect was moderated by parental education. RESULTS: There was a significant interaction between race/ethnicity and parental education, such that higher parental education was associated with greater improvement in global functioning in NHW participants, but there was no relationship between parental education and global functioning in POC. Additionally, higher parental education was associated with a decrease in negative symptoms in NHW participants but not in POC. There were no significant effects of race/ethnicity or parental education on positive symptoms, nor on social or role functioning. CONCLUSIONS: Clinicians may consider tailoring psychosocial treatments according to the needs of diverse families who vary in sociodemographic factors such as educational attainment and race/ethnicity.

Intrinsic motivation predicts cognitive and functional gains during coordinated specialty care for first-episode schizophrenia.

Coordinated Specialty Care (CSC) and embedded group therapeutic interventions have been effective in improving outcomes for individuals experiencing recent first-episode schizophrenia, including cognitive performance and functioning. Treatment response varies substantially, with some patients experiencing limited or no improvement. Motivation has emerged as a key determinant of treatment engagement and efficacy. However, the impact of intrinsic and extrinsic aspects of motivation has not been directly examined with treatment outcomes in first-episode schizophrenia. This study investigated whether baseline levels of intrinsic and extrinsic motivation predicted cognitive and functional gains over 6 and 12 months in CSC. Forty participants with first-episode schizophrenia completed a 12-month CSC treatment period. Baseline measures of intrinsic and extrinsic motivation were obtained for group therapeutic interventions and work/school, as well as measures of cognition and functioning (role and social) at baseline, 6 months, and 12 months. Results revealed that higher baseline scores of intrinsic motivation for group therapeutic interventions were significantly predictive of greater cognitive gains at 12 months, and a similar tendency was observed at 6 months. Additionally, baseline scores of intrinsic motivation for work/school predicted role gains at 6 months, with a similar tendency observed at 12 months. Extrinsic motivation did not consistently impact treatment outcomes, except for work/school-related extrinsic motivation, which was linked to greater social functioning gains at 12 months. These findings provide insight into the factors influencing treatment outcomes for individuals with first-episode schizophrenia and highlight the importance of intrinsic motivation as a modifiable personal variable that can enhance response to CSC.

Exercise behaviours and motivation after a first psychotic episode: A digital intervention.

AIM: Research has demonstrated that participation in aerobic exercise can have significant beneficial effects across both physical and mental health domains for individuals who are in the early phase of schizophrenia. Despite these notable benefits of exercise, deficits in motivation and a lack of methods to increase engagement are significant barriers for exercise participation, limiting these potentially positive effects. Fortunately, digital health tools have the potential to improve adherence to an exercise program. The present study examined the role of motivation for exercise and the effects of an automated digital text messaging program on participation in an aerobic exercise program. METHODS: A total of 46 first-episode psychosis participants from an ongoing 12-month randomized clinical trial (Enhancing Cognitive Training through Exercise Following a First Schizophrenia Episode (CT&E-RCT)) were included in an analysis to examine the efficacy of motivational text messaging. Personalized motivational text message reminders were sent to participants with the aim of increasing engagement in the exercise program. RESULTS: We found that participants with higher levels of intrinsic motivation to participate in a text messaging program and in an exercise intervention completed a higher proportion of individual, at-home exercise sessions. In a between groups analysis, participants who received motivational text messages, compared to those who did not, completed a higher proportion of at-home exercise sessions. CONCLUSION: These results indicate the importance of considering a person's level of motivation for exercise and the potential utility of using individualized and interactive mobile text messaging reminders to increase engagement in aerobic exercise in the early phase of psychosis. We emphasize the need for understanding how individualized patient preferences and needs interplay between intrinsic motivation and digital health interventions for young adults.

Frequency and predictors of virtual hope box use in individuals experiencing suicidal ideation: An ecological momentary assessment investigation.

INTRODUCTION: The Virtual Hope Box (VHB) is a smartphone application designed to support emotion regulation when one is distressed, in a crisis, or experiencing suicidal ideation (SI). Initial proof of concept studies indicate that individuals are more likely to use the VHB than traditional hope boxes, and find it both easy to setup and helpful. To our knowledge, no studies have harnessed ambulatory assessment methodology to assess VHB use as it relates to incidence of suicidal thinking. METHODS: As such, we recruited N = 50 undergraduates who endorsed SI either the past year or past 2 weeks to complete a 10-day investigation. At baseline, participants were oriented to the VHB and instructed on how to use the application. Over the next 10 days, participants responded to prompts five times per day on their personal smartphones regarding their current experiences of SI and stress as well as VHB usage. RESULTS: Results found that most participants used the VHB at least once, rated its usefulness as high, and rated their perceived likelihood of future use as high. In addition, increases in state SI severity were related to subsequent VHB use. CONCLUSION: The VHB may be a useful tool for managing crises in undergraduates experiencing suicidal thoughts.

Effort-based decision-making as a determinant of supported employment outcomes in psychotic disorders.

Schizophrenia is associated with a heavy economic burden in the United States that is partly due to the high rates of chronic unemployment. Individual Placement and Support (IPS) is an evidenced-based type of supported employment that can improve job obtainment and work outcomes in psychotic disorders. Outcomes vary widely and a persistent challenge for IPS is low levels of engagement in the initial job search phase. Past studies have focused on interview-based motivation deficits as a key determinant of poor treatment engagement and work outcomes in schizophrenia. New validated performance-based measures of motivation, including effort-based decision-making (EBDM) tasks, may explain supported employment outcomes and provide insights into individual differences in IPS outcomes. This study investigated the degree to which IPS engagement (i.e., number of sessions attended during the first four months of service delivery) was related to baseline interview-based motivation deficits and performance on three EBDM tasks - two tasks of physical effort and one of cognitive effort (i.e., Balloon Task, Effort Expenditure for Rewards Task, Deck Choice Effort Task) - in a sample (N = 47) of people with a psychotic disorder. Results indicated that the level of EBDM performance, specifically on the Balloon Task, predicted IPS engagement, accounting for an additional 17 % of the variance above and beyond interview-based motivation deficits (total R2 = 24 %). Overall, these findings suggest that addressing motivational deficits in effort-based decision-making may be beneficial to IPS engagement, which in turn may improve the trajectory of work outcomes.

Treatment engagement in first-episode schizophrenia: Associations between intrinsic motivation and attendance during cognitive training and an aerobic exercise program.

Systematic cognitive training and aerobic exercise programs have emerged as promising interventions to improve cognitive deficits in first-episode schizophrenia, with successful outcomes closely linked with greater treatment engagement (e.g., higher attendance and homework completion rates). Unfortunately, treatment disengagement from these services remains a persistent issue. Intrinsic motivation, or the willingness to exert effort because a task is inherently interesting or meaningful, has emerged as a promising malleable personal factor to enhance treatment engagement. This study investigated whether early task-specific intrinsic motivation and its domains (e.g., interest, perceived competence, and value) predicted treatment engagement within the context of intensive cognitive training and aerobic exercise interventions over a 6-month period. Thirty-nine participants with first-episode schizophrenia were administered baseline measures of task-specific intrinsic motivation inventories, one for cognitive training and one for exercise, and completed a 6-month randomized clinical trial comparing a neuroplasticity-based cognitive training plus aerobic exercise program against the same cognitive training alone. Results indicated that higher baseline scores of intrinsic motivation for cognitive training, specifically early perceptions of task interest and value, were predictive of greater cognitive training and exercise group attendance. Scores for exercise-specific intrinsic motivation were generally unrelated to indices of exercise participation, with the exception that the gain over time in perceived choice for exercise was linked with greater exercise homework completion and a similar directional tendency for greater in-clinic exercise attendance. This study provides support for monitoring and enhancing motivation early during service delivery to maximize engagement and the likelihood of successful treatment outcomes.

Aberrant reward processing to positive versus negative outcomes across psychotic disorders.

Several studies of reward processing in schizophrenia have shown reduced sensitivity to positive, but not negative, outcomes although inconsistencies have been reported. In addition, few studies have investigated whether patients show a relative deficit to social versus nonsocial rewards, whether deficits occur across the spectrum of psychosis, or whether deficits relate to negative symptoms and functioning. This study examined probabilistic implicit learning via two visually distinctive slot machines for social and nonsocial rewards in 101 outpatients with diverse psychotic disorders and 48 community controls. The task consisted of two trial types: positive (optimal to choose a positive vs. neutral machine) and negative (optimal to choose a neutral vs. negative machine), with two reward conditions: social (faces) and nonsocial (money) reward conditions. A significant group X trial type interaction indicated that controls performed better on positive than negative trials, whereas patients showed the opposite pattern of better performance on negative than positive trials. In addition, both groups performed better for social than nonsocial stimuli, despite lower overall task performance in patients. Within patients, worse performance on negative trials showed significant, small-to-moderate correlations with motivation and pleasure-related negative symptoms and social functioning. The current findings suggest reward processing disturbances, particularly decreased sensitivity to positive outcomes, extend beyond schizophrenia to a broader spectrum of psychotic disorders and relate to important clinical outcomes.

How do social factors relate to blunted facial affect in schizophrenia? A digital phenotyping study using ambulatory video recordings.

Clinical interviews and laboratory-based emotional induction paradigms provide consistent evidence that facial affect is blunted in many individuals with schizophrenia. Although it is clear that blunted facial affect is not a by-product of diminished emotional experience in schizophrenia, factors contributing to blunted affect remain unclear. The current study used a combination of ambulatory video recordings that were evaluated via computerized facial affect analysis and concurrently completed ecological momentary assessment surveys to assess whether blunted affect reflects insufficient reactivity to affective or contextual factors. Specifically, whether individuals with schizophrenia require more intense affective experiences to produce expression, or whether they are less reactive to social factors (i.e. being in the presence of others, social motivation). Participants included outpatients with schizophrenia (n = 33) and healthy controls (n = 31) who completed six days of study procedures. Multilevel linear models were evaluated using both Null-Hypothesis Statistical Testing and Bayesian analyses. Individuals with schizophrenia displayed comparable expression of positive and negative emotion to controls during daily life, and no evidence was found for a different intensity of experience required for expression in either group. However, social factors differentially influenced facial expression in schizophrenia compared to controls, such that individuals with schizophrenia did not modulate their expressions based on social motivation to the same extent as controls. These findings suggest that social motivation may play an important role in determining when blunting occurs.

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.

Sharing positive events: Ecological momentary assessment of emotion regulation via social capitalization in schizotypy.

Emotional deficits are prominent in schizophrenia-spectrum psychopathology and linked with poorer outcomes. Schizotypy, an underlying personality organization that putatively confers vulnerability to developing schizophrenia, has been associated with increased negative affect, decreased positive affect, and some difficulty with emotion regulation. This study explored the role of social capitalization, the upregulation of positive emotion when positive life events are shared with others, in schizotypy. Social capitalization is relevant for schizotypy given its association with social functioning and social motivation abnormalities. Using mobile assessment methods, a sample of college students (N=73) completed daily surveys via a mobile application two times per day for seven days and made daily ratings of mood and answered questions regarding any capitalization attempt for a positive event. Results indicated that higher schizotypy and not sharing an event were independently associated with lower happiness and increased sadness and anxiety. When an event was shared, lower schizotypy and supportive/enthusiastic response perception were independently associated with increased happiness. No significant interactions were observed between schizotypy and social capitalization variables. Future research would benefit from exploring the role that other common schizotypy concomitants, e.g., social anxiety or social disconnection, play in social capitalization and the extent this is helped or hindered via mass personal technological mediums.

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.

Validating Biobehavioral Technologies for Use in Clinical Psychiatry.

The last decade has witnessed the development of sophisticated biobehavioral and genetic, ambulatory, and other measures that promise unprecedented insight into psychiatric disorders. As yet, clinical sciences have struggled with implementing these objective measures and they have yet to move beyond "proof of concept." In part, this struggle reflects a traditional, and conceptually flawed, application of traditional psychometrics (i.e., reliability and validity) for evaluating them. This paper focuses on "resolution," concerning the degree to which changes in a signal can be detected and quantified, which is central to measurement evaluation in informatics, engineering, computational and biomedical sciences. We define and discuss resolution in terms of traditional reliability and validity evaluation for psychiatric measures, then highlight its importance in a study using acoustic features to predict self-injurious thoughts/behaviors (SITB). This study involved tracking natural language and self-reported symptoms in 124 psychiatric patients: (a) over 5-14 recording sessions, collected using a smart phone application, and (b) during a clinical interview. Importantly, the scope of these measures varied as a function of time (minutes, weeks) and spatial setting (i.e., smart phone vs. interview). Regarding reliability, acoustic features were temporally unstable until we specified the level of temporal/spatial resolution. Regarding validity, accuracy based on machine learning of acoustic features predicting SITB varied as a function of resolution. High accuracy was achieved (i.e., ~87%), but only when the acoustic and SITB measures were "temporally-matched" in resolution was the model generalizable to new data. Unlocking the potential of biobehavioral technologies for clinical psychiatry will require careful consideration of resolution.

Predicting self-injurious thoughts in daily life using ambulatory assessment of state cognition.

Self-injurious thoughts (SITs) fluctuate considerably from moment to moment. As such, "static" and temporally stable predictors (e.g., demographic variables, prior history) are suboptimal in predicting imminent SITs. This concern is particularly true for "online" cognitive abilities, which are important for understanding SITs, but are typically measured using tests selected for temporal stability. Advances in ambulatory assessments (i.e., real-time assessment in a naturalistic environment) allow for measuring cognition with improved temporal resolution. The present study measured relationships between "state" cognitive performance, measured using an ambulatory-based Trail Making Test, and SITs. Self-reported state hope and social connectedness was also measured. Data were collected using a specially designed mobile application (administered 4x/week up to 28 days) in substance use inpatients (N = 99). Consistent with prior literature, state hope and social connectedness was significantly associated with state SITs. Importantly, poorer state cognitive performance also significantly predicted state SITs, independent of hallmark static and state self-report risk variables. These findings highlight the potential importance of "online" cognition to predict SITs. Ambulatory recording reflects an efficient, sensitive, and ecological valid methodology for evaluating subjective and objectives predictors of imminent SITs.

Digital phenotyping of negative symptoms: the relationship to clinician ratings.

Negative symptoms are a critical, but poorly understood, aspect of schizophrenia. Measurement of negative symptoms primarily relies on clinician ratings, an endeavor with established reliability and validity. There have been increasing attempts to digitally phenotype negative symptoms using objective biobehavioral technologies, eg, using computerized analysis of vocal, speech, facial, hand and other behaviors. Surprisingly, biobehavioral technologies and clinician ratings are only modestly inter-related, and findings from individual studies often do not replicate or are counterintuitive. In this article, we document and evaluate this lack of convergence in 4 case studies, in an archival dataset of 877 audio/video samples, and in the extant literature. We then explain this divergence in terms of "resolution"-a critical psychometric property in biomedical, engineering, and computational sciences defined as precision in distinguishing various aspects of a signal. We demonstrate how convergence between clinical ratings and biobehavioral data can be achieved by scaling data across various resolutions. Clinical ratings reflect an indispensable tool that integrates considerable information into actionable, yet "low resolution" ordinal ratings. This allows viewing of the "forest" of negative symptoms. Unfortunately, their resolution cannot be scaled or decomposed with sufficient precision to isolate the time, setting, and nature of negative symptoms for many purposes (ie, to see the "trees"). Biobehavioral measures afford precision for understanding when, where, and why negative symptoms emerge, though much work is needed to validate them. Digital phenotyping of negative symptoms can provide unprecedented opportunities for tracking, understanding, and treating them, but requires consideration of resolution.

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.

Frontal alpha asymmetry in schizotypy: electrophysiological evidence for motivational dysfunction.

Introduction: Schizotypy is defined as personality traits reflecting an underlying risk for schizophrenia-spectrum disorders. As yet, there is a dearth of suitable objective markers for measuring schizotypy. Frontal alpha asymmetry, characterised by reduced left versus right frontal region activity, reflects trait-like diminished approach-related systems and has been found in schizophrenia. Methods: The present study used electroencephalography (EEG) recorded on a consumer-grade mobile headset to examine asymmetric resting-state frontal alpha, beta, and gamma power within the multidimensional schizotypy (e.g. positive, negative, disorganised) during a three-minute "eyes closed" resting period in college undergraduates (n=49). Results: Findings suggest that schizotypy was exclusively related to reduced left versus right-lateralised power in the alpha frequency (8.1-12.9 Hz., R2= .16). Follow-up analysis suggested that positive schizotypy was uniquely associated with increased right alpha activity, indicating increased withdrawal motivation. Conclusions: Frontal asymmetry is a possible ecologically valid objective marker for schizotypy that may be detectable using easily accessible, consumer-grade technology.

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.

Ambulatory digital phenotyping of blunted affect and alogia using objective facial and vocal analysis: Proof of concept.

Negative symptoms reflect one of the most debilitating aspects of one of the most debilitating diseases known to humankind. As yet, our treatments for negative symptoms are palliative at best and our understanding of their causes is relatively superficial. To address this, we are developing objective ambulatory tools for digitally phenotyping their severity which can be used outside the confines of the traditional clinical and research settings. The present study evaluated the feasibility, reliability and validity of ambulatory vocal acoustic and facial emotion expression analysis. Videos were provided by 25 patients with schizophrenia or schizoaffective disorder and 27 nonpsychiatric controls using inexpensive, non-invasive ambulatory recording methods. Controls provided 411 video recordings, and patients provided 377 video recordings; an average of 15.22 and 14.50 per participant per group respectively. The vast majority (over 80%) of these videos were usable for analysis. An empirically-supported, limited-feature vocal (7 features) and facial (3 features) set was examined. Within participants, these features varied considerably over time, but showed moderate to good test-retest reliability in many cases once contextual factors (e.g., activity involved in at the time of testing) were accounted for. Vocal and facial features showed statistically significant convergence with a "gold standard" negative symptom measure. Ambulatory vocal/facial features were more strongly associated with engagement in social or work activities in patients than negative symptom ratings. These data support the use of ambulatory vocal/facial analytic technologies for digital phenotyping of these negative symptoms.

The importance of loneliness in psychotic-like symptoms: Data from three studies.

Poor social connection or loneliness is a prominent feature of schizotypy and may exacerbate psychosis risk. Previous studies have examined the inter-relationships between loneliness and psychosis risk, but critically, they have largely been conducted in non-clinical samples or exclusively used laboratory questionnaires with limited consideration of the heterogeneity within schizotypy (i.e., positive, negative, disorganized factors). The present study examined links between loneliness and psychotic-like symptoms across the dimensions of schizotypy through cross-sectional, laboratory-based questionnaires (Study 1; N = 160), ambulatory assessment (Study 2; N = 118) in undergraduates, and ambulatory assessment in inpatients in a substance abuse treatment program (Study 3; N = 48). Trait positive schizotypy consistently predicted cross-sectional and state psychotic-like symptoms. Loneliness, assessed via cross-sectional and ambulatory means, was largely linked with psychotic-like symptoms. Importantly, psychotic-like symptoms were dynamic: psychotic-like symptoms largely increased with loneliness in individuals with elevated positive and disorganized schizotypal traits, though there were some inconsistency related to disorganized schizotypy and state psychotic-like symptoms. Negative schizotypy and loneliness did not significantly interact to predict psychotic-like symptoms, suggesting specificity to positive schizotypy. Ambulatory approaches provide the opportunity for ecologically valid identification of risk states across psychopathology, thus informing early intervention.

Stress and cognitive biases in schizotypy: A two-site study of bias against disconfirmatory evidence and jumping to conclusions.

The dysfunctional cognitive and reasoning biases which underpin psychotic symptoms are likely to present prior to the onset of a diagnosable disorder and should therefore be detectable along the psychosis continuum in individuals with schizotypal traits. Two reasoning biases, Bias Against Disconfirmatory Evidence (BADE) and Jumping to Conclusions (JTC), describe how information is selected and weighed under conditions of uncertainty during decision making. It is likely that states such as elevated stress exacerbates JTC and BADE in individuals with high schizotypal traits vulnerable to displaying these information gathering styles. Therefore, we evaluated whether stress and schizotypy interacted to predict these reasoning biases using separate samples from the US (JTC) and England (BADE). Generally speaking, schizotypal traits and stress were not independently associated with dysfunctional reasoning biases. However, across both studies, the interaction between schizotypy traits and stress significantly predicted reasoning biases such that increased stress was associated with increased reasoning biases, but only for individuals low in schizotypal traits. These patterns were observed for positive schizotypal traits (in both samples), for negative traits (in the England sample only), but not for disorganization traits. For both samples, our findings suggest that the presence of states such as stress is associated with, though not necessarily dysfunctional, reasoning biases in individuals with low schizotypy. These reasoning biases seemed, in some ways, relatively immutable to stress in individuals endorsing high levels of positive schizotypal traits.