Ecological Momentary Assessment Of State Fluctuations In Mindfulness And Symptoms In Psychotic Disorders

Mindfulness skills are a component of many modern cognitive-behavioral therapies that are used to treat a wide range of disorders, including psychotic disorders. While habitual (i.e., trait) mindfulness is associated with clinical outcomes, the effects of momentary (i.e., state) mindfulness are unclear. This is due in part to previous studies using cross-sectional designs relying on trait self-report questionnaires. Although such approaches are invaluable, they lack temporal specificity to evaluate momentary changes and effects of mindfulness. To address these limitations, the current study used ecological momentary assessment (EMA) to evaluate state levels of two mindfulness skills, acceptance and monitoring, and their association with state fluctuations in symptoms. Participants included individuals with affective and non-affective psychotic disorders (PD; n = 49) and healthy controls (CN; n = 53) who completed six days of EMA. Results indicated that the PD group endorsed lower state acceptance than CN; however, the groups did not significantly differ in monitoring. Further, greater state mindfulness skills in both acceptance and monitoring were associated with greater positive affect, reduced negative affect, and reduced negative symptoms. However, participants with a predominantly affective psychosis presentation showed differential effects compared to those with non-affective presentations. These findings suggest that mindfulness training for people with psychotic disorders may benefit from focusing on improving acceptance in order to improve emotional experience and build on existing monitoring skills. Further, mindfulness based psychosocial interventions may offer a novel means of treating negative symptoms in people with PD, which are currently stalled and largely unresponsive to other treatments.

Negative symptoms in the clinic: we treat what we can describe

Recent research has led to important changes in the concepts and assessment of negative symptoms in schizophrenia. We review current negative symptom concepts and their clinical implications, as well as new methods of assessing these symptoms. These changes hold promise for improving our understanding and treatment of negative symptoms.

Markov chain analysis indicates that positive and negative emotions have abnormal temporal interactions during daily life in schizophrenia

Abnormalities in positive and negative emotional experience have been identified in laboratory-based studies in schizophrenia (SZ) and associated with poorer clinical outcomes. However, emotions are not static in daily life-they are dynamic processes that unfold across time and are characterized by temporal interactions. Whether these temporal interactions are abnormal in SZ and associated with clinical outcomes is unclear (i.e., whether the experience of positive/negative emotions at time t increases or decreases the intensity of positive/negative emotions at time t+1). In the current study, participants with SZ (n = 48) and healthy controls (CN; n = 52) completed 6 days of ecological momentary assessment (EMA) surveys that sampled state emotional experience and symptoms. The EMA emotional experience data was submitted to Markov chain analysis to evaluate transitions among combined positive and negative affective states from time t to t+1. Results indicated that: (1) In SZ, the emotion system is more likely to stay in moderate or high negative affect states, regardless of positive affect level; (2) SZ transition to co-activated emotional states more than CN, and once emotional co-activation occurs, the range of emotional states SZ transition to is more variable than CN; (3) Maladaptive transitions among emotional states were significantly correlated with greater positive symptoms and poorer functional outcome in SZ. Collectively, these findings clarify how emotional co-activation occurs in SZ and its effects on the emotion system across time, as well as how negative emotions dampen the ability to sustain positive emotions across time. Treatment implications are discussed.

The reliability and validity of the revised Green et al. paranoid thoughts scale in individuals at clinical high-risk for psychosis

INTRODUCTION

Paranoia is a common and impairing psychosis symptom, which exists along a severity continuum that extends into the general population. Individuals at clinical high-risk for psychosis (CHR) frequently experience paranoia and this may elevate their risk for developing full psychosis. Nonetheless, limited work has examined the efficient measurement of paranoia in CHR individuals. The present study aimed to validate an often-used self-report measure, the revised green paranoid thoughts scale (RGPTS), in this critical population.

METHOD

Participants were CHR individuals (n = 103), mixed clinical controls (n = 80), and healthy controls (n = 71) who completed self-report and interview measures. Confirmatory factor analysis (CFA), psychometric indices, group differences, and relations to external measures were used to evaluate the reliability and validity of the RGPTS.

RESULTS

CFA replicated a two-factor structure for the RGPTS and the associated reference and persecution scales were reliable. CHR individuals scored significantly higher on both reference and persecution, relative to both healthy (ds = 1.03, 0.86) and clinical controls (ds = 0.64, 0.73). In CHR participants, correlations between reference and persecution and external measures were smaller than expected, though showed evidence of discriminant validity (e.g., interviewer-rated paranoia, r = 0.24). When examined in the full sample, correlation magnitude was larger and follow-up analyses indicated that reference related most specifically to paranoia (β = 0.32), whereas persecution uniquely related to poor social functioning (β = -0.29).

CONCLUSION

These results demonstrate the reliability and validity of the RGPTS, though its scales related more weakly to severity in CHR individuals. The RGPTS may be useful in future work aiming to develop symptom-specific models of emerging paranoia in CHR individuals.

Negative Symptom Inventory-Self-Report (NSI-SR): Initial development and validation

Negative symptoms (i.e., anhedonia, avolition, asociality, blunted affect, alogia) are frequently observed in the schizophrenia-spectrum (SZ) and associated with functional disability. While semi-structured interviews of negative symptoms represent a gold-standard approach, they require specialized training and may be vulnerable to rater biases. Thus, brief self-report questionnaires measuring negative symptoms may be useful. Existing negative symptom questionnaires demonstrate that this approach may be promising in schizophrenia, but no measure has been devised for use across stages of psychotic illness. The present study reports initial psychometric validation of the Negative Symptom Inventory-Self-Report (NSI-SR), the self-report counterpart of the Negative Symptom Inventory-Psychosis Risk clinical interview. The NSI-SR is a novel transphasic negative symptoms measure assessing the domains of anhedonia, avolition, and asociality. The NSI-SR and related measures were administered to two samples: 1) undergraduates (n = 335), 2) community participants, including: SZ (n = 32), clinical-high risk for psychosis (CHR, n = 25), and healthy controls matched to SZ (n = 31) and CHR (n = 30). The psychometrically trimmed 11-item NSI-SR showed good internal consistency and a three-factor solution reflecting avolition, asociality, and anhedonia. The NSI-SR demonstrated convergent validity via moderate to large correlations with clinician-rated negative symptoms and related constructs in both samples. Discriminant validity was supported by lower correlations with positive symptoms in both samples; however, correlations with positive symptoms were still significant. These initial psychometric findings suggest that the NSI-SR is a reliable and valid brief questionnaire capable of measuring negative symptoms across phases of psychotic illness.

Self-reported Gesture Interpretation and Performance Deficits in Individuals at Clinical High Risk for Psychosis

BACKGROUND AND HYPOTHESIS

Deficits in performing and interpreting communicative nonverbal behaviors, such as gesture, have been linked to varied psychopathology and dysfunction. Some evidence suggests that individuals at risk for psychosis have deficits in gesture interpretation and performance; however, individuals with internalizing disorders (eg, depression) may have similar deficits. No previous studies have examined whether gesture deficits in performance and interpretation are specific to those at risk for psychosis. Additionally, the underlying mechanisms (eg, cognition) and consequences (eg, functioning) of these deficits are poorly understood.

STUDY DESIGN

This study examined self-reported gesture interpretation (SRGI) and performance (SRGP) in those at clinical high risk for psychosis (CHR; N = 88), those with internalizing disorders (INT; N = 51), and healthy controls (HC; N = 53). Participants completed questionnaires, clinical interviews, and neurocognitive tasks.

STUDY RESULTS

Results indicated that the CHR group was characterized by significantly lower SRGI scores than the HC or INT groups (d = 0.41); there were no differences among groups in SRGP. Within CHR participants, greater deficits in SRGP were associated with lower verbal learning and memory (r = -.33), but not general intelligence or processing speed. Furthermore, gesture deficits were associated with higher cross-sectional risk for conversion to a full psychotic disorder in the CHR group.

CONCLUSIONS

Overall, these findings suggest that specific subdomains of gesture may reflect unique vulnerability for psychosis, self-report may be a viable assessment tool in understanding these phenomena, and gesture dysfunction may signal risk for transition to psychosis.

Negative symptoms in schizophrenia differ across environmental contexts in daily life

A recent environmental theory of negative symptoms posits that environmental contexts (e.g., location, social partner) play a significant-yet often unaccounted for-role in negative symptoms of schizophrenia (SZ). "Gold-standard" clinical rating scales offer limited precision for evaluating how contexts impact symptoms. To overcome some of these limitations, Ecological Momentary Assessment (EMA) was used to determine whether there were state fluctuations in experiential negative symptoms (anhedonia, avolition, and asociality) in SZ across contexts (locations, activities, social interaction partner, social interaction method). Outpatients with SZ (n = 52) and healthy controls (CN: n = 55) completed 8 daily EMA surveys for 6 days assessing negative symptom domains (anhedonia, avolition, and asociality) and contexts. Multilevel modeling demonstrated that negative symptoms varied across location, activity, social interaction partner, and social interaction method. For the majority of contexts, SZ and CN did not report significantly different levels of negative symptoms, with SZ only reporting higher negative symptoms than CN while eating, resting, interacting with a significant other, or being at home. Further, there were several contexts where negative symptoms were similarly reduced (e.g., recreation, most social interactions) or elevated (e.g., using the computer, working, running errands) in each group. Results demonstrate that experiential negative symptoms dynamically change across contexts in SZ. Some contexts may "normalize" experiential negative symptoms in SZ, while other contexts, notably some used to promote functional recovery, may increase experiential negative symptoms.

Investigation of momentary negative symptoms in patients with early psychosis in daily life: An experience sampling study

Negative symptoms are a key therapeutic target in promoting functional recovery in early psychosis intervention, but momentary negative symptom manifestations remain understudied in the early stage of illness. We employed an experience-sampling methodology (ESM) to evaluate momentary affective experiences, hedonic capacity for an event recalled, current activities and social interactions, and associated appraisals for 6 consecutive days in 33 clinically-stable early psychosis patients (within 3 years of treatment for first-episode psychosis) and 35 demographically-matched healthy controls. Adjusted multilevel linear-mixed models revealed higher intensity and variability of negative affect in patients than controls, but no group difference in affect instability as well as positive affect intensity and variability. Patients demonstrated no significantly greater anhedonia for event, activity or social interactions relative to controls. Higher preference for company (when alone) and to be alone (when in company) was observed in patients than controls. No significant group difference in pleasantness to be alone or proportion of time being alone. Our results indicate no evidence for blunting of affective experiences, anhedonia (social and non-social) and asociality in early psychosis. Future research complementing ESM with multiple digital phenotyping measures will facilitate more refined negative symptom assessment in the daily life of patients with early psychosis.

Five negative symptom domains are differentially associated with resting state amplitude of low frequency fluctuations in Schizophrenia

This study examined associations between resting-state amplitude of low frequency fluctuations (ALFF) and negative symptoms represented by total scores, second-order dimension (motivation and pleasure, expressivity), and first-order domain (anhedonia, avolition, asociality, alogia, blunted affect) factor scores in schizophrenia (n = 57). Total negative symptom scores showed positive associations with ALFF in temporal and frontal brain regions. Negative symptom domain scores showed predominantly stronger associations with regional ALFF compared to total scores, suggesting domain scores may better map to neural signatures than total scores. Improving our understanding of the neuropathology underlying negative symptoms may aid in addressing this unmet therapeutic need in schizophrenia.

Beliefs About the Uncontrollability and Usefulness of Emotion in the Schizophrenia-Spectrum: Links to Emotion Regulation and Negative Symptoms

Background

Beliefs about the usefulness and controllability of emotions are associated with emotion regulation and psychological distress in the general population. Although individuals with schizophrenia-spectrum disorders evidence emotion regulation abnormalities, it is unclear whether emotional beliefs contribute to these difficulties and their associated poor clinical outcomes.

Methods

Participants included 72 individuals with schizophrenia-spectrum diagnoses (outpatients with schizophrenia n = 38; youth at clinical high-risk for psychosis, n = 34) and healthy controls (CN: n = 61) who completed the Emotional Beliefs Questionnaire, Emotion Regulation Questionnaire, and measures of clinical symptom severity.

Results

Those with schizophrenia-spectrum diagnoses reported believing that emotions were less controllable than CN; however, groups did not differ regarding beliefs about the usefulness of emotion. Greater beliefs of the uncontrollability of emotion were associated with greater use of suppression, less use of reappraisal, and increased negative symptoms. Emotion regulation partially mediated the association between emotional beliefs and negative symptoms.

Conclusions

Individuals in the schizophrenia-spectrum display superordinate beliefs that emotions are uncontrollable. These beliefs may influence emotion regulation strategy selection and success, which contributes to negative symptoms. Findings suggest that beliefs of emotional uncontrollability reflect a novel process related to both emotion regulation and negative symptoms that could be targeted in psychosocial treatments.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10608-023-10357-w.

The positivity offset theory of anhedonia in schizophrenia: evidence for a deficit in daily life using digital phenotyping

BACKGROUND

Negative symptoms of schizophrenia have recently been proposed to result from a decoupling of (intact) hedonic experience and (diminished) approach behavior. The current study challenged this view by exploring the hypothesis that negative symptoms are driven by a specific type of emotional experience abnormality, a reduction in the positivity offset (i.e. the tendency to experience greater levels of positive relative to negative emotion in low-arousal contexts), which limits the production of approach behaviors in neutral environments.

METHODS

Participants included outpatients with SZ (n = 44) and healthy controls (CN: n = 48) who completed one week of active (ecological momentary assessment surveys of emotional experience and symptoms) and passive (geolocation, accelerometry) digital phenotyping. Mathematical modeling approaches from Cacioppo's Evaluative Space Model were used to quantify the positivity offset in daily life. Negative symptoms were assessed via standard clinical ratings, as well as active (EMA surveys) and passive (geolocation, accelerometry) digital phenotyping measures.

RESULTS

Results indicated that the positivity offset was reduced in SZ and associated with more severe anhedonia and avolition measured via clinical interviews and active and passive digital phenotyping.

CONCLUSIONS

These findings suggest that current conceptual models of negative symptoms, which assume hedonic normality, may need to be revised to account for reductions in the positivity offset and its connection to diminished motivated behavior. Findings identify key real-world contexts where negative symptoms could be targeted using psychosocial treatments.

Reduced willingness to expend effort for rewards is associated with risk for conversion and negative symptom severity in youth at clinical high-risk for psychosis

BACKGROUND

Schizophrenia (SZ) is typically preceded by a prodromal (i.e. pre-illness) period characterized by attenuated positive symptoms and declining functional outcome. Negative symptoms are prominent among individuals at clinical high-risk (CHR) for psychosis (i.e. those with prodromal syndromes) and predictive of conversion to illness. Mechanisms underlying negative symptoms are unclear in the CHR population.

METHODS

The current study evaluated whether CHR participants demonstrated deficits in the willingness to expend effort for rewards and whether these impairments are associated with negative symptoms and greater risk for conversion. Participants included 44 CHR participants and 32 healthy controls (CN) who completed the Effort Expenditure for Reward Task (EEfRT).

RESULTS

Compared to CN, CHR participants displayed reduced likelihood of exerting high effort for high probability and magnitude rewards. Among CHR participants, reduced effort expenditure was associated with greater negative symptom severity and greater probability of conversion to a psychotic disorder on a cross-sectional risk calculator.

CONCLUSIONS

Findings suggest that effort-cost computation is a marker of illness liability and a transphasic mechanism underlying negative symptoms in the SZ spectrum.

Thirty years of research on negative symptoms of schizophrenia: A scientometric analysis of hotspots, bursts, and research trends

Research on negative symptoms of schizophrenia has received renewed interest since the 1980s. A scientometric analysis that objectively maps scientific knowledge, with changes in recent trends, is currently lacking. We searched the Web of Science Core Collection (WOSCC) on December 17, 2021 using relevant keywords. R-bibliometrix and CiteSpace were used to perform the analysis. We retrieved 27,568 references published between 1966 and 2022. An exponential rise in scientific interest was observed, with an average annual growth rate in publications of 16.56% from 1990 to 2010. The co-cited reference network that was retrieved presented 24 different clusters with a well-structured network (Q=0.7921; S=0.9016). Two distinct major research trends were identified: research on the conceptualization and treatment of negative symptoms. The latest trends in research on negative symptoms include evidence synthesis, nonpharmacological treatments, and computational psychiatry. Scientometric analyses provide a useful summary of changes in negative symptom research across time by identifying intellectual turning point papers and emerging trends. These results will be informative for systematic reviews, meta-analyses, and generating novel hypotheses.

Comparing a Computerized Digit Symbol Test to a Pen-and-Paper Classic

Background and Hypothesis

Processing speed dysfunction is a core feature of psychosis and predictive of conversion in individuals at clinical high risk (CHR) for psychosis. Although traditionally measured with pen-and-paper tasks, computerized digit symbol tasks are needed to meet the increasing demand for remote assessments. Therefore we: (1) assessed the relationship between traditional and computerized processing speed measurements; (2) compared effect sizes of impairment for progressive and persistent subgroups of CHR individuals on these tasks; and (3) explored causes contributing to task performance differences.

Study Design

Participants included 92 CHR individuals and 60 healthy controls who completed clinical interviews, the Brief Assessment of Cognition in Schizophrenia Symbol Coding test, the computerized TestMyBrain Digit Symbol Matching Test, a finger-tapping task, and a self-reported motor abilities measure. Correlations, Hedges' g, and linear models were utilized, respectively, to achieve the above aims.

Study Results

Task performance was strongly correlated (r = 0.505). A similar degree of impairment was seen between progressive (g = -0.541) and persistent (g = -0.417) groups on the paper version. The computerized task uniquely identified impairment for progressive individuals (g = -477), as the persistent group performed similarly to controls (g = -0.184). Motor abilities were related to the computerized version, but the paper version was more related to symptoms and psychosis risk level.

Conclusions

The paper symbol coding task measures impairment throughout the CHR state, while the computerized version only identifies impairment in those with worsening symptomatology. These results may be reflective of sensitivity differences, an artifact of existing subgroups, or evidence of mechanistic differences.

Emotion regulation and social knowledge in youth at clinical high-risk for psychosis and outpatients with chronic schizophrenia: Associations with functional outcome and negative symptoms

AIM

Previous studies indicate that several aspects of social cognition are associated with poor social and vocational outcome in the chronic phase of psychosis. However, it is less clear whether specific aspects of social cognition are impaired in those at clinical high-risk (CHR) for psychosis and associated with functioning. The current study evaluated two understudied components of social cognition, emotion regulation knowledge and social knowledge, to determine whether CHR and chronic schizophrenia (SZ) samples demonstrated comparable magnitudes of impairment and associations with functioning.

METHODS

Two studies were conducted. Study 1 included n = 98 outpatients with chronic SZ and n = 88 demographically matched healthy controls (CN). Study 2 included 30 CHR and 30 matched CN participants. In both studies, participants completed the emotion management and social management subtests of the Mayer-Salovey-Caruso Emotional Intelligence Test to assess emotion regulation knowledge and social knowledge, respectively. A battery of clinical interviews was also administered, including measures of: role and social functioning, positive symptoms, negative symptoms, disorganization and general symptoms.

RESULTS

Individuals with SZ demonstrated lower emotion management and social management scores than CN participants. CHR demonstrated lower scores in social management than CN but did not display deficits in emotion management. In both studies, reduced social knowledge was associated with worse functioning and negative symptoms.

CONCLUSIONS

Findings indicate that deficits in social knowledge are transphasic across the SZ spectrum, and are associated with clinical functioning. Social knowledge may be a novel treatment target for psychosocial interventions.

Negative Symptom Trajectories in Individuals at Clinical High Risk for Psychosis: Differences Based on Deficit Syndrome, Persistence, and Transition Status

Background and Hypothesis

Negative symptom trajectory in clinical high risk (CHR) for psychosis is ill defined. This study aimed to better characterize longitudinal patterns of change in negative symptoms, moderators of change, and differences in trajectories according to clinical subgroups. We hypothesized that negative symptom course will be nonlinear in CHR. Clinical subgroups known to be more severe variants of psychotic illness-deficit syndrome (DS), persistent negative syndrome (PNS), and acute psychosis onset-were expected to show more severe baseline symptoms, slower rates of change, and less stable rates of symptom resolution.

Study Design

Linear, curvilinear, and stepwise growth curve models, with and without moderators, were fitted to negative symptom ratings from the NAPLS-3 CHR dataset (N = 699) and within clinical subgroups.

Study Results

Negative symptoms followed a downward curvilinear trend, with marked improvement 0-6 months that subsequently stabilized (6-24 months), particularly among those with lower IQ and functioning. Clinical subgroups had higher baseline ratings, but distinct symptom courses; DS vs non-DS: more rapid initial improvement, similar stability of improvements; PNS vs non-PNS: similar rates of initial improvement and stability; transition vs no transition: slower rate of initial improvement, with greater stability of this rate.

Conclusions

Continuous, frequent monitoring of negative symptoms in CHR is justified by 2 important study implications: (1) The initial 6 months of CHR program enrollment may be a key window for improving negative symptoms as less improvement is likely afterwards, (2) Early identification of clinical subgroups may inform distinct negative symptom trajectories and treatment needs.

Technology and Mental Health: State of the Art for Assessment and Treatment

Technology is ubiquitous in society and is now being extensively used in mental health applications. Both assessment and treatment strategies are being developed and deployed at a rapid pace. The authors review the current domains of technology utilization, describe standards for quality evaluation, and forecast future developments. This review examines technology-based assessments of cognition, emotion, functional capacity and everyday functioning, virtual reality approaches to assessment and treatment, ecological momentary assessment, passive measurement strategies including geolocation, movement, and physiological parameters, and technology-based cognitive and functional skills training. There are many technology-based approaches that are evidence based and are supported through the results of systematic reviews and meta-analyses. Other strategies are less well supported by high-quality evidence at present, but there are evaluation standards that are well articulated at this time. There are some clear challenges in selection of applications for specific conditions, but in several areas, including cognitive training, randomized clinical trials are available to support these interventions. Some of these technology-based interventions have been approved by the U.S. Food and Drug administration, which has clear standards for which types of applications, and which claims about them, need to be reviewed by the agency and which are exempt.

Discrepancies between ideal and actual affect in schizophrenia: Implications for understanding negative symptoms

Anhedonia is a core symptom of schizophrenia (SZ). However, psychological mechanisms underlying anhedonia are unclear, making it difficult to develop personalized psychosocial treatments. The current study explored the novel hypothesis that anhedonia is driven by discrepancies between ideal and actual affect (i.e., how positive or negative someone wants to feel compared to how they do feel), which impact the frequency of recreational, goal-directed, and social behaviors. Participants included 32 outpatients with SZ and 29 healthy controls (CN) who completed the Affect Valuation Index and measures of negative symptom severity. Results indicated that individuals with SZ displayed greater positive and negative emotion discrepancy scores than CN, suggesting that they strongly desire to feel more positive and less negative in the future than they actually do. Additionally, greater ideal relative to actual positive and negative affect was associated with greater severity of anhedonia, avolition, and asociality. The discrepancy between ideal and actual affective states may be demotivating, leading individuals with SZ to develop dysfunctional beliefs after repeated experiences of failing to achieve their desired emotional goal state. These findings suggest that ideal affect may be a novel psychological mechanism underlying negative symptoms that could be targeted in psychosocial treatments.

Implicit cognitive effort monitoring impairments are associated with expressive negative symptoms in schizophrenia

Negative symptoms are a strong predictor of functional impairment in schizophrenia (SZ). Unfortunately, mechanisms underlying negative symptoms are poorly understood and available treatments are minimally effective. The current study evaluated the novel hypothesis that negative symptoms are associated with an implicit cognitive effort monitoring impairment that manifests during tasks requiring sustained allocation of cognitive control. Outpatients with SZ (n = 33) and healthy controls (CN; n = 29) completed an adapted Demand Selection Task (DST) in which subjects made choices between pairs of cognitive tasks that were implicitly and then explicitly made discrepant in effort demands. The SZ group demonstrated a reduced probability of avoiding the high effort cognitive task in the implicit choice condition but were able to become effort avoidant when the demands of the task were made explicit. Implicit cognitive effort monitoring deficits were associated with greater severity of the expressivity dimension of negative symptoms, but not the motivation and pleasure dimension. The association between diminished expressivity and implicit cognitive effort monitoring deficits is interpreted in light of a novel cognitive resource depletion theory, whereby individuals with SZ may become less expressive due to difficulty implicitly monitoring ongoing cognitive effort exertion and dynamically adjusting effort expenditure as task demands fluctuate.

Deconstructing emotion regulation in schizophrenia: the nature and consequences of abnormalities at the identification stage

Existing evidence suggests that emotion regulation is abnormal in schizophrenia and associated with undesirable clinical outcomes. However, this literature is based predominantly on trait self-report and does not indicate which stages of emotion regulation (identification, selection, implementation) are impaired. The current study focused on determining the nature of abnormalities at the identification stage using ecological momentary assessment (EMA). Participants included clinically stable outpatients with schizophrenia (SZ; n = 48) and healthy controls (CN; n = 52) who completed 6 days of EMA. The EMA surveys assessed emotional experience, emotion regulation, and symptoms. Results indicated that SZ identified the need to regulate at a higher rate than CN. Specifically, SZ displayed an inefficient threshold for identifying the need to regulate, such that they regulated too much when negative affect was low and too little when negative affect was high. Emotion regulation effort exertion was also inefficient, such that effort was too high at low levels of negative affect and too low at high levels of negative affect in SZ. These identification stage abnormalities also demonstrated differential associations with positive and negative symptoms. Findings suggest that identification stage abnormalities may create a bottleneck that feeds forward and impacts subsequent stages of emotion regulation in SZ that are critically related to symptoms. Targeting the psychological processes underlying these identification stage abnormalities might offer a novel means of treating positive and negative symptoms in schizophrenia.

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.

Cluster analysis of negative symptoms identifies distinct negative symptom subgroups

The heterogeneity of schizophrenia has been acknowledged for decades because of the diverse presentation of symptoms, illness course, and treatment response noted between individuals diagnosed with the disorder. Cluster analysis has been used as a statistical method to determine whether schizophrenia subgroups might be identified based on symptom heterogeneity. However, there is very limited research examining whether heterogeneity in negative symptoms might be useful in establishing schizophrenia subtypes, particularly research examining newer models of negative symptoms based on five latent constructs including anhedonia, asociality, avolition, blunted affect, and alogia. The Brief Negative Symptom Scale was used to assess the five negative symptoms domains in a sample of 220 outpatients diagnosed with schizophrenia or schizoaffective disorder. Cluster analysis supported a four-cluster solution, comprising clusters of subjects with low negative symptoms (LNS), severe negative symptoms (SNS), and two clusters with moderate negative symptoms, one with predominantly elevated blunted affect (BA) and one with elevated avolition (AV). The LNS, SNS, BA, and AV clusters significantly differed on external validators including clinical characteristics, neurocognition, and functional outcome. Findings suggest that schizophrenia heterogeneity can be parsed according to negative symptom subtypes that have distinct clinical and neuropsychological profiles. Implications for diagnosis and treatment are discussed.

Three prominent self-report risk measures show unique and overlapping utility in characterizing those at clinical high-risk for psychosis

Self-report questionnaires have been developed to efficiently assess psychosis risk and vulnerability. Despite this, the validity of these questionnaires for assessing specific positive symptoms in those at clinical high risk for psychosis (CHR) is unclear. Positive symptoms have largely been treated as a uniform construct in this critical population and there have been no reports on the construct validity of questionnaires for assessing specific symptoms. The present study examined the convergent, discriminant, and criterion validity of the Launay Slade Hallucination Scale-Revised (LSHS-R), Prodromal Questionnaire-Brief (PQB), and Community Assessment of Psychic Experiences positive scale (CAPE-P) using a multimethod approach. CHR individuals (N = 71) and healthy controls (HC; N = 71) completed structured clinical interviews, self-report questionnaires, and neuropsychological tests. Questionnaire intercorrelations indicated strong convergent validity (i.e., all rs > .50); however, evidence for discriminant validity was more variable. In examining relations to interviewer-assessed psychosis symptoms, all questionnaires demonstrated evidence of criterion validity, though the PQB showed the strongest convergent correlations (e.g., r = .48 with total symptoms). In terms of discriminant validity for specific positive symptoms, results were again more variable. PQB subscales demonstrated limited specificity with positive symptoms, whereas CAPE-P subscales showed some specificity and the LSHS-R showed high specificity. In addition, when correlations with internalizing and externalizing symptoms were examined, only the PQB showed consistent significant correlations. These results are interpreted in terms of the strengths and limitations of each measure, their value for screening, and their potential utility for clarifying differences between specific positive symptoms.