Different learning aberrations relate to delusion-like beliefs with different contents.

The prediction error account of delusions has had success. However, its explanation of delusions with different contents has been lacking. Persecutory delusions and paranoia are the common unfounded beliefs that others have harmful intentions towards us. Other delusions include believing that one's thoughts or actions are under external control, or that events in the world have specific personal meaning. We compare learning on two different cognitive tasks, probabilistic reversal learning (PRL) and Kamin blocking, that have relationships to paranoid and non-paranoid delusion-like beliefs, respectively. We find that Clinical High-Risk status alone does not result in different behavioral results on the PRL task but that an individual's level of paranoia is associated with excessive switching behavior. During the Kamin blocking task, paranoid individuals learned inappropriately about the blocked cue. However, they also had decreased learning about the control cue, suggesting more general learning impairments. Non-paranoid delusion-like belief conviction (but not paranoia) was associated with aberrant learning about the blocked cue but intact learning about the control cue, suggesting specific impairments in learning related to cue combination. We fit task-specific computational models separately to behavioral data to explore how latent parameters vary within individuals between tasks, and how they can explain symptom-specific effects. We find that paranoia is associated with low learning rates on the PRL task as well as the blocking task. Non-paranoid delusion-like belief conviction was instead related to parameters controlling the degree and direction of similarity between cue updating during simultaneous cue presentation. These results suggest that paranoia and other delusion-like beliefs involve dissociable deficits in learning and belief updating, which - given the transdiagnostic status of paranoia - may have differential utility in predicting psychosis.

Anhedonia reflects an encoding deficit for pleasant stimuli in schizophrenia: Evidence from the emotion-induced memory trade-off eye-tracking paradigm.

OBJECTIVE: The present study explored the hypothesis that anhedonia reflects an emotional memory impairment for pleasant stimuli, rather than diminished hedonic capacity in individuals with schizophrenia (SZ). METHOD: Participants included 30 SZ and 30 healthy controls (HCs) subjects who completed an eye-tracking emotion-induced memory trade-off task where contextually relevant pleasant, unpleasant, or neutral items were inserted into the foreground of neutral background scenes. Passive viewing and poststimulus elaboration blocks were administered to assess differential encoding mechanisms, and immediate and 1-week recognition testing phases were completed to assess the effects of delay interval. Participants also made self-reports of positive emotion, negative emotion, and arousal in response to the stimuli. RESULTS: Results indicated that SZ experienced stimuli similarly to HC. Both groups demonstrated the typical emotion-induced memory trade-off during the passive viewing and poststimulus elaboration encoding blocks, as indicated by more hits for emotional than neutral items and fewer hits for backgrounds paired with emotional than neutral items. Eye-tracking data also indicated that both groups were more likely to fixate earlier and have longer dwell time on emotional than neutral items. At the 1-week delay, the emotion-induced memory trade-off was eliminated in both groups, and SZ showed fewer overall hits across valence conditions. Greater severity of anhedonia was specifically associated with impaired recognition for pleasant stimuli at the immediate recognition phase. CONCLUSIONS: Findings suggest that anhedonia in SZ is associated with emotional memory impairment, particularly a deficit in encoding positive stimuli. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Trait Mindfulness in Psychotic Disorders: Dimensions Predicting Symptoms, Cognition, and Functional Outcome.

Mindfulness-based treatments are efficacious for psychotic disorders (PD). However, which components of mindfulness (i.e., attentive monitoring and nonjudgmental acceptance) are most relevant treatment targets is unclear. Further, there is a dearth of literature examining clinical correlates of mindfulness in people with PD. The present study aimed to examine group differences and clinical correlates of mindfulness in people with PD. We hypothesized that PD would report lower monitoring and acceptance than CN and that mindfulness components would be associated with symptoms including dysfunctional beliefs, alexithymia, neurocognitive ability, positive symptoms, and mood symptoms. Groups included individuals with PD (n = 54) and nonpsychiatric controls (n = 55). Participants completed self-report measures of mindfulness and related constructs and clinical interviews of symptoms. Results of ANOVA models indicated that global mindfulness was lower in PD relative to CN, with greatest differences evident for acceptance in the affective psychosis group. Regression models found that greater monitoring was associated with improved neurocognitive performance, while acceptance was associated with lower defeatist beliefs, alexithymia, and depression/anxiety symptoms. Results highlight the importance of targeting acceptance in the psychosocial treatment of PDs, especially for those with mood symptoms.

Racial differences in attenuated psychotic symptoms during the COVID-19 pandemic.

AIM: Rates of attenuated psychotic symptoms (APS) have increased during the COVID-19 pandemic; however, it is unclear whether this is most evident among individuals from marginalized racial groups. METHODS: The current study evaluated APS screening data across a six-year period in the state of Georgia in the United States, spanning several years prior to and during the COVID-19 pandemic to evaluate interactions between time and race. Participants included 435 clinical help-seeking individuals. RESULTS: The rate of individuals scoring above the APS screening cut-off was higher during the pandemic compared to pre-pandemic (41% vs 23%). This pandemic-related increase in APS was significant for Black, but not White or Asian participants. CONCLUSIONS: Findings indicate APS are increasing during the COVID-19 pandemic among clinical help-seeking populations. Black individuals may be at greater risk for developing a psychotic disorder during the pandemic, suggesting increased need for screening, mental health monitoring, and treatment.

Development of the PSYCHS: Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS.

AIM: To harmonize two ascertainment and severity rating instruments commonly used for the clinical high risk syndrome for psychosis (CHR-P): the Structured Interview for Psychosis-risk Syndromes (SIPS) and the Comprehensive Assessment of At-Risk Mental States (CAARMS). METHODS: The initial workshop is described in the companion report from Addington et al. After the workshop, lead experts for each instrument continued harmonizing attenuated positive symptoms and criteria for psychosis and CHR-P through an intensive series of joint videoconferences. RESULTS: Full harmonization was achieved for attenuated positive symptom ratings and psychosis criteria, and modest harmonization for CHR-P criteria. The semi-structured interview, named Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS (PSYCHS), generates CHR-P criteria and severity scores for both CAARMS and SIPS. CONCLUSIONS: Using the PSYCHS for CHR-P ascertainment, conversion determination, and attenuated positive symptom severity rating will help in comparing findings across studies and in meta-analyses.

Integrating mindfulness into the extended process model of emotion regulation: The dual-mode model of mindful emotion regulation.

Extensive research has been conducted regarding how people manage their emotions. Within this research, there has been growing attention toward the role of mindfulness in emotion regulation. While prior reviews have discussed mindfulness in the context of emotion regulation, they have not provided a thorough integration using the prevailing models of emotion regulation or mindfulness. The present review discusses the Extended Process Model of Emotion Regulation and Monitoring and Acceptance Theory of mindfulness in order to propose a novel integrated framework, the Dual-mode Model of Mindful Emotion Regulation (D-MER). This model proposes two "modes" of mindfulness: Implementation and facilitation. Implementation posits that mindfulness skills can be used as emotion regulation strategies through attentional deployment and cognitive change. Facilitation posits that mindfulness as a state or trait affects emotion generation and regulation through effects on cognitive processes and positive or negative valence systems. Further, the D-MER posits that mindfulness experience can improve the efficiency of mindfulness-based emotion regulation strategies (implementation) while effects of mindfulness on emotion regulation processes become increasingly trait-like and automatic over time (facilitation). Empirical and theoretical support for this model are discussed, specific hypotheses to guide further research are provided, and clinical implications are presented. Use of this model may identify mechanisms underlying the interaction between mindfulness and emotion regulation which can be used in ongoing affective and clinical research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Ayahuasca in the treatment of posttraumatic stress disorder: Mixed-methods case series evaluation in military combat veterans.

OBJECTIVE: Although ayahuasca-a plant-based psychedelic-is discussed as promising in the treatment of posttraumatic stress disorder (PTSD), evidence so far remains limited to retrospective case reports and qualitative surveys. No study to date has examined whether ayahuasca results in prospective and clinically meaningful changes in trauma symptoms across individuals with PTSD symptoms. METHOD: To address this gap, we conducted a convergent mixed-methods case series study on eight military veterans with PTSD who participated in a 3-day ayahuasca intervention in Central America. Clinically meaningful changes from pre- to posttreatment and at a 3-month follow-up were assessed in three ways using: (a) PTSD checklist-5 (PCL-5); (b) experience sampling measurement of momentary PTSD and mood symptoms; and (c) an open-ended survey on perceived benefits. RESULTS: The majority (87.5%; 7/8) of participants demonstrated reliable and/or clinically significant changes in PCL-5 symptoms by posttreatment, which were maintained by 70% (5/7) of veterans by the 3-month follow-up. On average, veterans also reported significant improvements in momentary PTSD symptoms, as well as negative and positive affect in daily life posttreatment, with 63% (5/8) reporting moderate-to-large improvements in these domains. Broad themes characterizing the perceived benefits of ayahuasca included deep positive emotions, decentering/acceptance, and purpose in life; adverse acute experiences were, however, reported. CONCLUSIONS: This study provides preliminary support for the clinically meaningful and lasting benefits of a brief ayahuasca intervention on PTSD/mood symptoms in military veterans. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Global reward processing deficits predict negative symptoms transdiagnostically and transphasically in a severe mental illness-spectrum sample.

Reward processing impairments are a key factor associated with negative symptoms in those with severe mental illnesses. However, past findings are inconsistent regarding which reward processing components are impaired and most strongly linked to negative symptoms. The current study examined the hypothesis that these mixed findings may be the result of multiple reward processing pathways (i.e., equifinality) to negative symptoms that cut across diagnostic boundaries and phases of illness. Participants included healthy controls (n = 100) who served as a reference sample and a severe mental illness-spectrum sample (n = 92) that included psychotic-like experiences, clinical high-risk for psychosis, bipolar disorder, and schizophrenia participants. All participants completed tasks measuring four RDoC Positive Valence System constructs: value representation, reinforcement learning, effort-cost computation, and hedonic reactivity. A k-means cluster analysis of the severe mental illness-spectrum samples identified three clusters with differential reward processing profiles that were characterized by: (1) global reward processing deficits (22.8%), (2) selective impairments in hedonic reactivity alone (40.2%), and (3) preserved reward processing (37%). Elevated negative symptoms were only observed in the global reward processing cluster. All clusters contained participants from each clinical group, and the distribution of these groups did not significantly differ among the clusters. Findings identified one pathway contributing to negative symptoms that was transdiagnostic and transphasic. Future work further characterizing divergent pathways to negative symptoms may help to improve symptom trajectories and personalized treatments.

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.

Computerized analysis of facial expression reveals objective indices of blunted facial affect.

Blunted affect is associated with severe mental illness, particularly schizophrenia. Mechanisms of blunted affect are poorly understood, potentially due to a lack of phenomenological clarity. Here, we examine clinician rated blunted affect and computerized facial metrics derived from ambulatory video assessment using machine learning. With high predictive accuracy (80-82%), we found that head orientation, eye movement, and facets of mouth movement were associated with clinical ratings of blunted affect. Features denoting larger muscle movements were associated with social cognition (R2 = 0.37) and cognition (R2 = 0.40). Findings provide potential insights on psychological and pathophysiological contributors to blunted affect.

Experimental Therapeutics: Opportunities and Challenges Stemming From the National Institute of Mental Health Workshop on Novel Target Discovery and Psychosocial Intervention Development.

There has been slow progress in the development of interventions that prevent and/or reduce mental-health morbidity and mortality. The National Institute of Mental Health (NIMH) launched an experimental-therapeutics initiative with the goal of accelerating the development of effective interventions. The emphasis is on interventions designed to engage a target mechanism. A target mechanism is a process (e.g., behavioral, neurobiological) proposed to underlie change in a defined clinical endpoint and through change in which an intervention exerts its effect. This article is based on discussions from an NIMH workshop conducted in February 2020 and subsequent conversations among researchers using this approach. We discuss the components of an experimental-therapeutics approach such as clinical-outcome selection, target definition and measurement, intervention design and selection, and implementation of a team-science strategy. We emphasize the important contributions of different constituencies (e.g., patients, caregivers, providers) in deriving hypotheses about novel target mechanisms. We highlight strategies for target-mechanism identification using published and hypothetical examples. We consider the decision-making dilemmas that arise with different patterns of results in purported mechanisms and clinical outcomes. We end with considerations of the practical challenges of this approach and the implications for future directions of this initiative.

The role of defeatist performance beliefs on cognitive effort-cost decision-making in schizophrenia.

Impairments in effort-cost decision-making have been consistently observed in people with schizophrenia (SZ) and may be an important mechanism of negative symptoms. However, the processes that give rise to impairments in effort-cost decision-making are unclear, leading to limited progress in identifying the most relevant treatment targets. Drawing from cognitive models of negative symptoms and goal-directed behavior, this study aimed to examine how and under what type of task conditions defeatist performance beliefs contribute to these decision-making processes. Outpatients with SZ (n = 30) and healthy controls (CN; n = 28) completed a cognitive effort allocation task, the Cognitive Effort-Discounting (COGED) task, which assesses participants' willingness to exert cognitive effort for monetary rewards based on parametrically varied working memory demands (completing N-back levels). Results showed that although participants with SZ demonstrated reduced willingness to work for rewards across N-back levels compared to CN participants, they showed less choice modulation across different N-back conditions. However, among SZ participants with greater defeatist performance beliefs, there was a reduced willingness to choose the high effort option at higher N-back levels (N-back levels 3, 4, and 5 versus 2-back). Results suggest that compared to CN, the SZ group's subjective willingness to expend effort largely did not dynamically adjust as cognitive load increased. However, defeatist beliefs may undermine willingness to expend cognitive effort, especially when cognitive task demands are high. These beliefs may be a viable treatment target to improve effort-cost decision-making impairments in people with SZ.

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.

Deconstructing emotion regulation in schizophrenia: The nature of abnormalities at the selection and implementation stages.

Difficulties with emotion regulation are observed across psychiatric diagnoses, including psychotic disorders. Past studies using trait self-report indicate that people with schizophrenia (SZ) are less likely to use adaptive emotion regulation strategies and more likely to use maladaptive emotion regulation strategies than controls (CN). However, more recent evidence using ecological momentary assessment (EMA) indicates that regulation effectiveness and adaptiveness may vary across strategies. The present study aimed to systematically understand abnormalities in state-level emotion regulation strategy selection, effectiveness, and adaptiveness in SZ compared to CN using EMA. Participants (n = 50 SZ; n = 53 CN) completed 6 days of EMA surveys assessing emotional experience, emotion regulation, and symptoms. Results indicated that SZ selected interpersonal emotion regulation and avoidance more often than CN, while both groups selected reappraisal and distraction more often than avoidance and suppression. Overall, strategies were effective at reducing negative emotion and adaptive for reducing delusions over time. Reappraisal, avoidance, and suppression all significantly down-regulated delusions over time. Although some selection abnormalities were present in terms of rate of selection and effort exertion, people with SZ select strategies which are effective and adaptive in the short term. The present results have implications for how cognitive therapy for psychosis may target delusions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Environmental resource reductions predict greater severity of negative symptoms in schizophrenia.

No pharmacological or psychosocial interventions effectively treat negative symptoms in schizophrenia (SZ), despite the identification of biological and psychological mechanistic targets. Limited treatment progress may result from failure to account for non-person-level environmental factors that present barriers to performing recreational, social, and goal-directed activities. The bioecosystem model of negative symptoms proposes that four interactive ecosystems (i.e. microsystem, mesosystem, exosystem, and macrosystem) influence person-level factors (e.g., dysfunctional beliefs, glutamate, cortico-striatal functioning) to initiate and maintain negative symptoms. The current study tested this hypothesis by examining whether indirect environmental factors (e.g., access to resources for performing activities in the built environment) were associated with dysfunctional beliefs (defeatist performance, asocial, anhedonic) and negative symptoms (anhedonia, avolition, asociality). Self-reports of indirect environmental factors (i.e., the built environment), dysfunctional beliefs, and negative symptoms were collected from 31 individuals with SZ and 29 matched healthy controls. Mediation analyses were conducted with dysfunctional beliefs as the predictor, indirect environmental factors as mediator, and negative symptoms as the outcome. Individuals with SZ reported reduced access to environmental resources for performing recreational, goal-directed, and social activities; these reductions were associated with greater negative symptom severity. Mediation analyses indicated that the effect of dysfunctional beliefs on negative symptoms was mediated by participants' satisfaction with resources for performing activities in their environment. These findings suggest that psychosocial treatments could be augmented to not only target dysfunctional beliefs, but also environmental processes that lead these beliefs to emerge and contribute to negative symptoms.

Environmental factors contributing to negative symptoms in youth at clinical high risk for psychosis and outpatients with schizophrenia.

BACKGROUND: A bioecosystem theory was recently proposed positing that negative symptoms of schizophrenia (SZ) are influenced by environmental factors. These environmental processes reflect sources of resource deprivation that manifest across multiple systems that impact individuals directly through microsystems and indirectly through the exosystem and macrosystem. As an initial test of this theory, the current study examined whether self-reported environmental resource deprivation was associated with anhedonia, avolition, and asociality. METHOD: Two samples were collected: (1) outpatients with schizophrenia or schizoaffective disorder (SZ: n = 38) and matched psychiatrically heathy controls (CN: n = 31); (2) youth at clinical high risk for psychosis (CHR: n = 34) and matched CN (n = 30). Measures of negative symptoms and environmental factors influencing the frequency of recreational, goal-directed, and social activities were collected. RESULTS: Negative symptoms were associated with environmental deprivation factors in the microsystem (number of social and activity settings) and exosystem (economy, mass media, politics/laws, neighborhood crime). These associations did not appear due to depression and were greater among those with SZ than CHR. CONCLUSIONS: These findings provide preliminary support for the bioecosystem theory and highlight an under-recognized role for environmental factors underlying negative symptoms across phases of psychotic illness. Environmental systems-focused treatment approaches may offer a novel means of treating negative symptoms, which could be promising when coupled with person-level pharmacological and psychosocial treatments.

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.

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.

Temporal Interactions Between Social Motivation and Behavior In Daily Life Among Individuals at Clinical High-Risk for Psychosis.

BACKGROUND AND HYPOTHESES: Poor social functioning is common among individuals at clinical high-risk (CHR) for psychosis and is associated with greater likelihood of conversion. Unfortunately, processes contributing to social impairment are unclear, making social functioning difficult to improve via treatment. The current study examined whether abnormalities in social functioning result from aberrant temporal interactions between social motivation and behavior. STUDY DESIGN: Participants included 105 individuals at CHR and 62 healthy controls (CN) who completed 6 days of ecological momentary assessment. Multilevel models examined time-lagged interactions between social behavior and motivation. STUDY RESULTS: CHR and CN did not differ in social motivation; however, CHR were less likely to interact with family and coworkers and more likely to engage in interactions via phone and text/social media. Autocorrelations indicated that social behavior and motivation were generally consistent across time in CHR and CN groups. Time-lagged analyses indicated that both groups had an increase in social motivation across time when they were alone and a decrease in social motivation across time when they were with others. However, the relative decrease when with others and increase when alone were less robust in CHR than CN, particularly for in-person interactions. Social motivation at time t did not differentially impact social partner or modality at time t+1 in the groups. CONCLUSIONS: Findings suggest that social behavior and motivation have different temporal interactions in CHR and CN. Psychosocial interventions may benefit from targeting the frequency of social behavior with specific partners and modalities to change social motivation.

Network analysis of discrete emotional states measured via ecological momentary assessment in schizophrenia.

Prior studies demonstrate that schizophrenia (SZ) is associated with abnormalities in positive and negative emotional experience that predict clinical presentation. However, it is unclear whether specific discrete emotions within the broader positive/negative categories are driving those symptom associations. Further, it is also unclear whether specific emotions contribute to symptoms in isolation or via networks of emotional states that dynamically interact across time. The current study used network analysis to evaluate temporally dynamic interactions among discrete emotional states experienced in the real world as assessed via Ecological Momentary Assessment (EMA). Participants included 46 outpatients with chronic SZ and 52 demographically matched healthy controls (CN) who completed 6 days of EMA that captured reports of emotional experience and symptoms derived from monetary surveys and geolocation based symptom markers of mobility and home location. Results indicated that less dense emotion networks were associated with greater severity of negative symptoms, whereas more dense emotion networks were associated with more severe positive symptoms and mania. Additionally, SZ evidenced greater centrality for shame, which was associated with greater severity of positive symptoms. These findings suggest that positive and negative symptoms are associated with distinct profiles of temporally dynamic and interactive emotion networks in SZ. Findings have implications for adapting psychosocial therapies to target specific discrete emotional states in the treatment of positive versus negative symptoms.