Disorganized Symptoms Research Articles

Category fluency in schizophrenia: opposing effects of negative and positive symptoms?

ABSTRACTIntroduction: Category fluency is associated with speed-, executive- and semantic impairments in schizphrenia. It has traditionally been linked to negative symptoms, whereas the relation to positive symptoms is mixed. Associations to the consensus negative, positive and disorganisation factors have not been analysed before.Methods: Animal fluency was administered to 81 patients with schizophrenia. Measures of overall performance and applied strategies were analysed in relation to the Wallwork five-factor PANSS-model.Results: Negative and disorganisation symptoms were negatively related to overall fluency performance. Positive symptoms were positively related to overall performance when controlling for disorganisation symptoms. Negative symptoms were related to fewer switches, less repetitions, less single animals intrusions, and both less rare and common animals. Positive symptoms were related to more effective retrieval of sub-category exemplars following a sub-category title, whereas there were no relation between symptoms and exemplars when the title was not retrieved. The Beta values of negative and positive symptoms were opposite.Conclusion: This is the first study showing that positive symptoms are related to increased fluency performance when disorganisation is controlled for. Like previous studies, negative symptoms were found to depress fluency. Strategy measures indicated that negative symptoms predispose for rigidity, whereas positive symptoms facilitate more efficient associative pathways.

Latent class cluster analysis of symptom ratings identifies distinct subgroups within the clinical high risk for psychosis syndrome

The clinical-high-risk for psychosis (CHR-P) syndrome is heterogeneous in terms of clinical presentation and outcomes. Identifying more homogenous subtypes of the syndrome may help clarify its etiology and improve the prediction of psychotic illness. This study applied latent class cluster analysis (LCCA) to symptom ratings from the North American Prodrome Longitudinal Studies 1 and 2 (NAPLS 1 and 2). These analyses produced evidence for three to five subgroups within the CHR-P syndrome. Differences in negative and disorganized symptoms distinguished among the subgroups. Subgroup membership was found to predict conversion to psychosis. The authors contrast the methods employed within this study with previous attempts to identify more homogenous subgroups of CHR-P individuals and discuss how these results could be tested in future samples of CHR-P individuals.

Prediction Analysis for Transition to Schizophrenia in Individuals at Clinical High Risk for Psychosis: The Relationship of DAO, DAOA, and NRG1 Variants with Negative Symptoms and Cognitive Deficits.

Schizophrenia is characterized by positive and negative symptoms and cognitive dysfunction. The glutamate hypothesis of schizophrenia has been hypothesized to explain the negative symptoms and cognitive deficits better than the dopamine hypothesis alone. Therefore, we aimed to evaluate whether glutamatergic variants such as d-amino acid oxidase (DAO), DAO activator (DAOA)/G72, and neuregulin 1 (NRG1) single-nucleotide polymorphisms (SNPs) and their mRNA levels predicted (i) transition to schizophrenia spectrum disorders and (ii) research domain criteria (RDoC) domains, mainly negative valence and cognitive systems. In a 3-year prospective study cohort of 185 individuals (age: 13–35 years) at high risk and ultra-high risk (UHR) for psychosis, we assessed DAO (rs3918347, rs4623951), DAOA (rs778293, rs3916971, rs746187), and NRG1 (rs10503929) SNPs and their mRNA expression. Furthermore, we investigated their association with RDoC domains, mainly negative valence (e.g., anxiety, hopelessness) and cognitive (e.g., perception disturbances, disorganized symptoms) systems. NRG1 rs10503929 CC + CT versus TT genotype carriers experienced significantly more disorganized symptoms. DAOA rs746187 CC versus CT + TT genotype, DAOA rs3916971 TT versus TC + CC genotype, and DAO rs3918347 GA + AA versus GG genotype carriers experienced nominally more hopelessness, visual perception disturbances, and auditory perception disturbances, respectively. The schizophrenia risk G-allele of DAO rs3918347 nominally increased risk for those UHR individuals with attenuated positive symptoms syndrome. No association between DAO, DAOA, NRG1 SNPs, and conversion to schizophrenia spectrum disorders was observed. Our findings suggest that DAO, DAOA, and NRG1 polymorphisms might influence both RDoC negative valence and cognitive systems, but not transition to schizophrenia spectrum disorders.

Attention Deficit Hyperactivity Disorder Symptoms and Psychosis in 22q11.2 Deletion Syndrome.

22q11.2 Deletion Syndrome (22q11.2DS) is associated with increased risk for schizophrenia in adulthood while Attention Deficit Hyperactivity Disorder (ADHD) is the most prevalent diagnosis in childhood. Inattention symptoms are pronounced in 22q11.2DS and given that attentional impairment is a core feature of schizophrenia, inattention symptoms may reflect underlying ADHD, psychosis, or both. We investigate whether inattention is associated with psychosis in 22q11.2DS and in other groups at risk for psychosis but without the deletion (ND) (idiopathic clinical risk and first degree family members of individuals with schizophrenia). One hundred thirty-seven individuals with 22q11.2DS (mean age: 14.0), 84 ND individuals with subthreshold psychosis (mean age: 16.9) and 31 ND individuals with family history of psychosis (mean age: 17.0) were included in the study. Psychopathology was assessed using research diagnostic assessments. ADHD total symptoms were associated with overall levels of subthreshold psychosis symptoms in 22q11.2DS (β = .8, P = .04). Inattention symptoms were specifically associated with positive (β = .5, P = .004), negative (β = .5, P = .03), and disorganized (β = .5, P < .001) symptoms, while hyperactivity-impulsivity symptoms were associated with disorganized symptoms (β = .5, P = .01). The prevalence of ADHD inattention symptoms was higher in 22q11.2DS with subthreshold psychosis compared to ND individuals with subthreshold psychosis (P < .001), even when adjusting for cognitive impairment and overall psychopathology. The pattern was similar when comparing individuals with 22q11.2DS and ND individuals with family history of psychosis. This is the first study to examine the associations between ADHD symptoms and psychosis in 22q11.2DS. Our findings support a potentially important role of ADHD inattention symptoms in psychosis in 22q11.2DS.

Levels of Cognitive Control: A Functional Magnetic Resonance Imaging-Based Test of an RDoC Domain Across Bipolar Disorder and Schizophrenia.

In recent years, the boundaries of psychopathology as defined by diagnostic categories have been criticized as inadequately 'carving nature at its joints' with respect to the neurobiology of major mental disorders. In 2010 the NIMH launched the Research Domain Criteria (RDoC) framework for understanding mental illnesses as brain circuit disorders that extend beyond DSM-defined diagnoses. In the present study we focus on cognitive dysfunction, a core feature of schizophrenia (SZ) and bipolar disorder (BPD), and use functional magnetic resonance imaging (fMRI) during a cognitive control (CC) task in recent onset patients to test the hypothesis that at a behavioral and underlying neural circuitry level these deficits exist on a continuum (as opposed to showing categorical differences) across the two disorders. In total, 53 healthy controls, 24 recent (<1 y) onset patients with BPD Type I with psychotic features, and 70 recent onset patients with SZ performed the AX-Continuous Performance Task while undergoing event-related fMRI at 1.5 T. In addition to behavior task-associated response was examined in frontoparietal regions-of-interest. In an a priori contrast-based analysis, significant deficits across patient groups (vs controls) were observed on CC-associated performance as well as frontoparietal response. These analyses further revealed a continuum of deficits in which BPD showed intermediate levels of CC relative to controls and SZ. Poor CC was associated with poverty and disorganization symptoms across patient groups. These results support the hypothesis that CC dysfunction in BPD and SZ reflects a continuum of deficits that cuts across traditional, DSM-based classification. Implications for the neurobiology of these diseases are discussed.

Is There Any Relation Between Impaired Emotion Perception and Thought Disorder in Schizophrenia?

Many patients with schizophrenia demonstrate an impaired recognition of emotions as well as thought disorder. However, there may be a correlation between these core impairment domains of schizophrenia. The objective of the present study was to investigate the relationship between the perception of emotion and thought disturbance in schizophrenia. The sample consisted of 53 patients with schizophrenia and 38 healthy controls. The Emotions Battery of the University of Pennsylvania Computerised Neuropsychological Test Battery (PennCNP) and the Thought Language Index (TLI) were used to examine the association of the perception of emotion and thought disorders. Statistical analyses revealed that patients with schizophrenia had poor performance on the recognition of happy, sad, fear, anger, and neutral facial emotion expressions compared to controls. Severity of negative and disorganisation symptoms in schizophrenia patients was found to be related to negative emotions (fear, anger, etc.). Moreover, results revealed that disorganised thoughts are related to misidentification of positive emotions (happy). Our results suggested that emotion perception disturbances could be associated with disorganised thought in schizophrenia. Impaired recognition and misinterpretation of positive emotions may contribute to the occurrence of disorganised thought.

Body language reading of emotion in schizophrenia: Associations withsymptoms and functional outcome.

Our aim was to explore how body language reading of emotion relates to neurocognition, symptoms and functional outcome in schizophrenia. Fifty-four individuals with schizophrenia and eighty-four healthy controls participated in the study. Emotion perception was assessed with a point-light display (PLD) task, the Emotion in Biological Motion (EmoBio) test, neurocognition was measured with the MATRICS Consensus Cognitive Battery (MCCB), and functioning was indexed by one measure of functional capacity and by one self-report questionnaire. Clinical symptoms were assessed with a five factor Positive and Negative Syndrome Scale (PANSS) symptoms model. Participants with schizophrenia had impaired body language reading of emotions compared to healthy controls (Cohen's d = 0.69). In participants with schizophrenia, emotion perception was associated with neurocognition (r = 0.42), functional capacity (r = 0.27) and disorganization symptoms (r = -0.27). Mediation analyses showed that disorganization symptoms mediated the effects of emotion perception and neurocognition, respectively, on social functional capacity. These results suggest that in individuals with schizophrenia, reduced emotion perception from body movements has negative consequences for functional outcome, but that the effect is mediated through disorganization symptoms.

Suicidal behaviors and their relationship with psychotic-like symptoms in children and adolescents at clinical high risk for psychosis

BackgroundPrevious research has demonstrated elevated rates of suicide attempts and ideation in individuals with psychosis. This study investigated rates and severity of suicidal behavior in youth with and at clinical high risk for psychosis, and examined the positive, negative, and disorganized symptoms associated with suicidal behaviors among the clinical high risk group. MethodsEighty-six youth ages 7–18 (n=21 non-clinical controls [NCC], n=40 clinical high risk [CHR], n=25 diagnosed psychotic disorder [PD]) were recruited. CHR and PD participants were identified using the Structured Interview for Prodromal Symptoms (SIPS) and Schedule for Affective Disorders and Schizophrenia for School-Age Children—Present and Lifetime Version (KSADS-PL). All participants completed the Suicide Behaviors Questionnaire-Revised (SBQ-R). ResultsFindings indicated significantly higher levels of suicidal behavior among CHR and PD relative to NCC participants (F=7.64, p=0.001). 17.5% of CHR participants had previously attempted suicide. Dysphoric Mood and Odd Behavior or Appearance were significantly correlated with suicidal behavior severity among CHR youth. ConclusionSuicidal behavior was observed with greater frequency and severity in the CHR and PD groups than in the NCC group. CHR suicidal behavior severity was correlated most strongly with Dysphoric Mood and Odd Behavior or Appearance, a relationship which warrants further investigation.

Demographic, psychosocial, clinical, and neurocognitive baseline characteristics of Black Americans in the RAISE-ETP study

This study compared baseline characteristics of Black Americans and Caucasians with first-episode psychosis in the Recovery After an Initial Schizophrenia Episode Early Treatment Program (RAISE-ETP). Black American (N=152) and Caucasian (N=218) participants were compared on demographic, psychosocial, clinical, and neurocognitive measures. Results indicated several notable racial differences in baseline characteristics: a greater proportion of Black Americans than Caucasians were female, and Black Americans reported less personal and parental education than Caucasians. Black Americans were also less likely to have private insurance, more likely to be homeless or transient, had significantly poorer quality of life, more severe disorganized symptoms, worse neurocognition, and were less likely to abuse alcohol than Caucasians. The implications of these findings are discussed, and suggestions are provided for future avenues of treatment and research on racial disparities in first-episode psychosis.

Unraveling interrelationships among psychopathology symptoms, cognitive domains and insight dimensions in chronic schizophrenia

IntroductionInsight in schizophrenia is long known to have a complex relationship with psychopathology symptoms and cognition. However, very few studies have examined models that explain these interrelationships. MethodsIn a large sample derived from the NIMH Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia trial (N=1391), we interrogated these interrelationships for potential causal pathways using structural equation modeling. Using the NIMH consensus model, latent variables were constructed for psychopathology symptom dimensions, including positive, negative, disorganized, excited and depressed from the Positive and Negative Syndrome Scale (PANSS) items. Neurocognitive variables were created from five predefined domains of working memory, verbal memory, reasoning, vigilance and processing speed. Illness insight and treatment insight were tested using latent variables constructed from the Illness and Treatment Attitude Questionnaire (ITAQ). ResultsDisorganized symptoms had the strongest effect on insight. Illness insight mediated the relationship of positive, depressed, and disorganized symptoms with treatment insight. Neurocognition mediated the relationship between disorganized and treatment insight and depressed symptoms and treatment insight. There was no effect of negative symptoms on either illness insight or treatment insight. Taken together, our results indicate overlapping and unique relational paths for illness and treatment insight dimensions, which could suggest differences in causal mechanisms and potential interventions to improve insight.

Motion energy analysis reveals altered body movement in youth at risk for psychosis

BackgroundGrowing evidence suggests that movement abnormalities occur prior to the onset of psychosis. Innovations in technology and software provide the opportunity for a fine-tuned and sensitive measurement of observable behavior that may be particularly useful to detecting the subtle movement aberrations present during the prodromal period. MethodsIn the present study, 54 youth at ultrahigh risk (UHR) for psychosis and 62 healthy controls participated in structured clinical interviews to assess for an UHR syndrome. The initial 15min of the baseline clinical interview was assessed using Motion Energy Analysis (MEA) providing frame-by-frame measures of total movement, amplitude, speed, and variability of both head and body movement separately. ResultsResult showed region-specific group differences such that there were no differences in head movement but significant differences in body movement. Specifically, the UHR group showed greater total body movement and speed of body movements, and lower variation in body movement compared to healthy controls. However, there were no significant associations with positive, negative or disorganized symptom domains. ConclusionThis study represents an innovative perspective on gross motor function in the UHR group. Importantly, the automated approach used in this study provides a sensitive and objective measure of body movement abnormalities, potentially guiding novel assessment and prevention of symptom development in those at risk for psychosis.

Disorganization and social cognition: Data from the italian network of research on psychoses

Social cognition (SC) refers broadly to the domains of cognitive functions that are employed in socially relevant situations. These disturbances have been found to be strongly related to disorganized and negative symptoms in schizophrenia. Each of the disorganization symptoms suggests a diminishment or absence of organization. There seems to be a loss of the ability to be directed toward or committed to a particular focal topic or goal. Such conditions are likely to impact patients’ drives or motivations to initiate goal-directed activities that could yield pleasurable opportunities. Moreover, it has been suggested that disorganized symptoms are an integral link in cognitive pathways, with connections between cognitive processes weakening as disorganized symptoms increase. Thus, it seems that when disorganized symptoms are present, people with schizophrenia are no longer able to effectively utilize the neurocognitive abilities necessary for performing social cognitive or metacognitive tasks. It is also in line with models of disorganization in schizophrenia (Bleuler, 1911) that a “loosening of associations”—similar to current conceptualizations of disorganized symptoms—is at the core of these cognitive disruptions. Previous research has linked disorganization to cognition (neurocognition and SC) and cognition to social functioning, although in separate studies. The present study was conducted to explore a model, where disorganization predicted social functioning both directly both through indirect effects on other determinants (neurocognition, SC and negative symptoms) in a large, and well-characterized sample of patients with schizophrenia recruited in the context of a multi-center study of the Italian Network for Research on Psychoses (NIRP).Disclosure of interestThe author declares that he has no competing interest.

“Pseudoneurotic Schizophrenia” Revisited: The role of obsessive-compulsive symptoms in low-level disorganization psychosishosiser

ObjectiveRecent research has suggested a dual impact of obsessive-compulsive dimension on functioning in schizophrenia with a gradual transition from an improving to a worsening effect depending on obsessive-compulsive symptom (OCS) severity (from mild to moderate-severe). Aim of the present study was to investigate whether this varying effect of OCS on functioning might be mediated or moderated by schizophrenia symptom dimensions or occur independently.MethodSeventy-five patients affected by schizophrenia were administered the SCID-IV, the PANSS, the YBOCS and the SOFAS.The sample was divided into two groups according to the severity of OCS (absent/mild and moderate/high).ResultsIn both groups, a significant interaction between OCS and disorganization dimension was found: the dual effect of OCS on functioning occurred only among patients with low disorganization symptoms while it was no more apparent at higher levels of disorganization (Figure 1).ConclusionData suggest that in patients with schizophrenia, functioning at least in part depends on the interaction between disorganization and OCS. Particularly, mild OCS contributes to higher levels of functioning in patients with psychosis at low levels of disorganization. In keeping with the historical concept of “pseudoneurotic schizophrenia”, we speculate that obsessive dimension might have a pathoplastic influence in milder forms of schizophrenia spectrum disorders, balancing the effect of underlying low disorganization symptoms.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Experimental evidence for circular inference in schizophrenia

Schizophrenia (SCZ) is a complex mental disorder that may result in some combination of hallucinations, delusions and disorganized thinking. Here SCZ patients and healthy controls (CTLs) report their level of confidence on a forced-choice task that manipulated the strength of sensory evidence and prior information. Neither group’s responses can be explained by simple Bayesian inference. Rather, individual responses are best captured by a model with different degrees of circular inference. Circular inference refers to a corruption of sensory data by prior information and vice versa, leading us to ‘see what we expect’ (through descending loops), to ‘expect what we see’ (through ascending loops) or both. Ascending loops are stronger for SCZ than CTLs and correlate with the severity of positive symptoms. Descending loops correlate with the severity of negative symptoms. Both loops correlate with disorganized symptoms. The findings suggest that circular inference might mediate the clinical manifestations of SCZ.

Neurological soft signs in first-episode schizophrenia: State- and trait-related relationships to psychopathology, cognition and antipsychotic medication effects

BackgroundNeurological soft signs (NSS) are proposed to represent both state- and trait-related features of schizophrenia. MethodWe assessed the course of NSS with the Neurological Evaluation Scale (NES) over 12months of standardised treatment in 126 patients with first-episode schizophrenia, schizophreniform or schizoaffective disorder, and evaluated their state- and trait-related associations with psychopathology, functionality, cognition and antipsychotic treatment. We considered change scores from baseline to be state-related and endpoint scores to be trait-related. ResultsSignificant effects for time were recorded for all NSS domains. For state-related change-scores greater improvements in sensory integration were predicted by more improvement in working memory (p=0.01); greater improvements in motor sequencing scores were predicted by more improvement in working memory (p=0.005) and functionality (p=0.005); and greater improvements in NES Total score were predicted by more improvement in disorganised symptoms (p=0.02). There were more substantial associations between trait-related endpoint scores than for state-related change scores. For endpoint scores lower composite cognitive score predicted poorer sensory integration (p=0.001); higher Parkinsonism score predicted poorer motor co-ordination (p=0.0001); lower composite cognitive score (p=0.001) and higher Parkinsonism score (p=0.005) predicted poorer motor sequencing; higher Parkinsonism score (p=0.0001) and disorganised symptoms (p=0.04), and lower composite cognitive score (p=0.0007) predicted higher NES total score. ConclusionsNSS improved with treatment, but were weakly associated with improvements in psychopathology. Studies investigating NSS as trait-markers should ensure that patients have been optimally treated at the time of testing, and should take possible effects of extrapyramidal symptoms into account.

Phenotypic continuum between autism and schizophrenia: Evidence from the Movie for the Assessment of Social Cognition (MASC)

Schizophrenic (SCZ) and autism (ASD) spectrum disorders share several features including social cognition impairments. In SCZ, the link between symptomatic dimensions and social cognition deficits remains unclear. The Movie for the Assessment of Social Cognition (MASC) test, available in several languages including English, investigates mental state attribution capabilities in complex interpersonal situations. After its translation into French, we used MASC to direct compare social cognition in 36 young participants with SCZ to 19 with ASD and 20 healthy controls (HC) matched for gender, age (18–25y.o.) and level of education. The MASC discriminated each group from the others, patients with SCZ exhibiting difficulties compared to ASD (MASC total score 28.1 (4) and 24.2 (6.6), respectively; p<.001). In the whole sample, MASC scores were inversely correlated with autistic traits, evaluated by autism quotient, and with disorganization symptoms. Finally, in SCZ, over-mentalizing difficulties were correlated with age at disease onset. Our results demonstrate the validity of the French version of the MASC and bring direct evidence supporting the hypothesis of a phenotypic continuum between autism and schizophrenia.

Personality Measures Link Slower Binocular Rivalry Switch Rates to Higher Levels of Self-Discipline.

In this paper we investigated the relation between personality and the rate of perceptual alternations during binocular rivalry. Studies have demonstrated that slower rivalry alternations are associated with a range of clinical conditions. It is less clear whether rivalry dynamics similarly co-vary with individual differences in psychological traits seen across non-clinical population. We assessed rivalry rates in a non-clinical population (n = 149) and found slower rivalry alternations were positively related r(149) = 0.20, p = 0.01 to industriousness, a trait characterized by a high level of self-discipline using the Big Five Aspect Scales (BFAS). Switch rates were also negatively related r(149) = −0.20, p = 0.01 to cognitive disorganization, a schizotypy trait capturing schizophrenia-like symptoms of disorganization using the Oxford-Liverpool Inventory of feelings and Experiences (O-LIFE). Furthermore, we showed that that these relations with personality were unaffected by the inclusion or exclusion of mixed percept in the response analysis. Together these results are relevant to theoretical models of rivalry investigating individual differences in rivalry temporal dynamics and they may reduce concerns about the impact of task compliance in clinical research using rivalry as a potential diagnostic tool.

Homesick: residential and care patterns in patients with severe mental illness.

BackgroundChanges in the residential and care settings of patients with severe mental illness (SMI) are a concern because of the large variety of possible negative consequences. This study describes patterns of changes in the residential and care settings of SMI patients and explores associations between these changes, sociodemographics, and clinical characteristics.MethodsFrom January 2006 to January 2012, all data relating to changes in residential and/or care setting by SMI patients (N = 262) were collected from electronic case files. Data covering psychopathology, substance use, and medication adherence were assessed in 2006.ResultsThere were more changes in the residential than in the care setting. In 6 years, only 22% of our sample did not move, 23% changed residence once, 19% twice, 10% three times, and 26% four or more times. Substance use predicted changes of care and/or residential setting and rehospitalisation. The severity of negative symptoms predicted rehospitalisation and duration of hospitalisation. Disorganisation symptoms predicted the duration of hospitalisation.ConclusionsA majority of patients with SMI changed residential and/or care settings several times in 6 years. Patients with substance use or severe negative and disorganisation symptoms may need more intensive and customised treatment. Further research is needed to investigate prevention programmes for highly-frequent movers.

Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.

An important focus of studies of individuals at ultra-high risk (UHR) for psychosis has been to identify biomarkers to predict which individuals will transition to psychosis. However, the majority of individuals will prove to be resilient and go on to experience remission of their symptoms and function well. The aim of this study was to investigate the possibility of using structural MRI measures collected in UHR adolescents at baseline to quantitatively predict their long-term clinical outcome and level of functioning. We included 64 UHR individuals and 62 typically developing adolescents (12-18 years old at recruitment). At six-year follow-up, we determined resilience for 43 UHR individuals. Support Vector Regression analyses were performed to predict long-term functional and clinical outcome from baseline MRI measures on a continuous scale, instead of the more typical binary classification. This led to predictive correlations of baseline MR measures with level of functioning, and negative and disorganization symptoms. The highest correlation (r = 0.42) was found between baseline subcortical volumes and long-term level of functioning. In conclusion, our results show that structural MRI data can be used to quantitatively predict long-term functional and clinical outcome in UHR individuals with medium effect size, suggesting that there may be scope for predicting outcome at the individual level. Moreover, we recommend classifying individual outcome on a continuous scale, enabling the assessment of different functional and clinical scales separately without the need to set a threshold. Hum Brain Mapp 38:704-714, 2017. © 2016 Wiley Periodicals, Inc.

Transdiagnostic neural markers of emotion-cognition interaction in psychotic disorders.

Deficits in working memory (WM) and emotion processing are prominent impairments in psychotic disorders, and have been linked to reduced quality of life and real-world functioning. Translation of knowledge regarding the neural circuitry implementing these deficits into improved diagnosis and targeted treatments has been slow, possibly because of categorical definitions of disorders. Using the dimensional Research Domain Criteria (RDoC) framework, we investigated the clinical and practical utility of transdiagnostic behavioral and neural measures of emotion-related WM disruption across psychotic disorders. Behavioral and functional MRI data were recorded while 53 participants with psychotic disorders and 29 participants with no history of psychosis performed a modified n-back task with fear and neutral distractors. Hierarchical regression analyses showed that psychotic symptoms entered after diagnosis accounted for unique variance in fear versus neutral accuracy and activation in the ventrolateral, dorsolateral, and dorsomedial prefrontal cortex, but diagnostic group entered after psychotic symptoms did not. These results remained even after controlling for negative symptoms, disorganized symptoms, and dysphoria. Finally, worse accuracy and greater prefrontal activity were associated with poorer social functioning and unemployment across diagnostic groups. Present results support the transdiagnostic nature of behavioral and neuroimaging measures of emotion-related WM disruption as they relate to psychotic symptoms, irrespective of diagnosis. They also provide support for the practical utility of these markers in explaining real-world functioning. Overall, these results elucidate key aspects of the RDoC construct of WM maintenance by clarifying its transdiagnostic importance and clinical utility in psychotic disorders. (PsycINFO Database Record