Knowledge of Threat Biases Perceptual Decision Making in Anxiety: Evidence From Signal Detection Theory and Drift Diffusion Modeling.

Background: Threat biases are considered key factors in the development and maintenance of anxiety. However, these biases are poorly operationalized and remain unquantified. Furthermore, it is unclear whether and how prior knowledge of threat and its uncertainty induce these biases and how they manifest in anxiety. Method: Participants (n = 55) used prestimulus cues to decide whether the subsequently presented stimuli were threatening or neutral. The cues either provided no information about the probability (high uncertainty) or indicated high probability (low uncertainty) of encountering threatening or neutral targets. We used signal detection theory and hierarchical drift diffusion modeling to quantify bias. Results: High-uncertainty threat cues improved discrimination of subsequent threatening and neutral stimuli more than neutral cues. However, anxiety was associated with worse discrimination of threatening versus neutral stimuli following high-uncertainty threat cues. Using hierarchical drift diffusion modeling, we found that threat cues biased decision making not only by shifting the starting point of evidence accumulation toward the threat decision but also by increasing the efficiency with which sensory evidence was accumulated for both threat-related and neutral decisions. However, higher anxiety was associated with a greater shift of starting point toward the threat decision but not with the efficiency of evidence accumulation. Conclusions: Using computational modeling, these results highlight the biases by which knowledge regarding uncertain threat improves perceptual decision making but impairs it in case of anxiety.

Understanding anxiety through uncertainty quantification.

Uncertainty has been a central concept in psychological theories of anxiety. However, this concept has been plagued by divergent connotations and operationalizations. The lack of consensus hinders the current search for cognitive and biological mechanisms of anxiety, jeopardizes theory creation and comparison, and restrains translation of basic research into improved diagnoses and interventions. Drawing upon uncertainty decomposition in Bayesian Decision Theory, we propose a well-defined conceptual structure of uncertainty in cognitive and clinical sciences, with a focus on anxiety. We discuss how this conceptual structure provides clarity and can be naturally applied to existing frameworks of psychopathology research. Furthermore, it allows formal quantification of various types of uncertainty that can benefit both research and clinical practice in the era of computational psychiatry.

Hallucination-Proneness is Associated With a Decrease in Robust Averaging of Perceptual Evidence.

BACKGROUND AND HYPOTHESIS: Hallucinations are characterized by disturbances in perceptual decision-making about environmental stimuli. When integrating across multiple stimuli to form a perceptual decision, typical observers engage in "robust averaging" by down-weighting extreme perceptual evidence, akin to a statistician excluding outlying data. Furthermore, observers adapt to contexts with more unreliable evidence by increasing this down-weighting strategy. Here, we test the hypothesis that hallucination-prone individuals (n = 38 high vs n = 91 low) would show a decrease in this robust averaging and diminished sensitivity to changes in evidence variance. STUDY DESIGN: We used a multielement perceptual averaging task to elicit dichotomous judgments about the "average color" (red/blue) of an array of stimuli in trials with varied strength (mean) and reliability (variance) of decision-relevant perceptual evidence. We fitted computational models to task behavior, with a focus on a log-posterior-ratio (LPR) model which integrates evidence as a function of the log odds of each perceptual option and produces a robust averaging effect. STUDY RESULTS: Hallucination-prone individuals demonstrated less robust averaging, seeming to weigh inlying and outlying extreme or untrustworthy evidence more equally. Furthermore, the model that integrated evidence as a function of the LPR of the two perceptual options and produced robust averaging showed poorer fit for the group prone to hallucinations. Finally, the weighting strategy in hallucination-prone individuals remained insensitive to evidence variance. CONCLUSIONS: Our findings provide empirical support for theoretical proposals regarding evidence integration aberrations in psychosis and alterations in the perceptual systems that track statistical regularities in environmental stimuli.

What Do We Know About Threat-Related Perceptual Decision Making?

The ability to make rapid and precise decisions regarding the presence or absence of threats in our environment is critical for our survival. While threatening stimuli may be detected more accurately and faster due to the "bottom-up" salience of their features, in the real-world, these stimuli are often encountered in familiar environments in which "top-down" cues signal their arrival. There has been significant progress in our understanding of the mechanisms by which we make perceptual decisions regarding relatively routine stimuli; however, the mechanisms of threat-related perceptual decision-making remain unclear. In this paper, we discuss the psychological, computational, and neural mechanisms by which information from threatening stimuli is integrated with our prior knowledge from cues and surrounding contexts to guide perceptual decision-making.

Linking the past to the future by predictive processing: Implications for psychopathology.

Most theories of psychopathology have focused on etiology at a specific level (e.g., genetic, neurobiological, psychological, or environmental) to explain specific symptoms or disorders. A few biopsychosocial theories have provided explanations that attempt to integrate different levels and disorders to some extent. However, these theories lack a framework in which different levels of analysis are integrated and thus do not explain the mechanism by which etiological factors interact and perturb neurobiology which in turn leads to psychopathology. We propose that predictive processing (PP), which originated in theoretical neurobiology literature, may provide a conceptually parsimonious and biologically plausible framework to achieve such integration. In PP, the human brain can be cast as implementing a generative model whose task is to minimize the surprise of sensory evidence by inferring its causes and actively controlling future sensory signals via action. This account offers a unifying model of perception, action, and emotion implicated in psychopathology. Furthermore, we show that PP can explain how different factors or levels result in psychopathology via updates of the generative model (the depth of the PP framework). Finally, we demonstrate the transdiagnostic appeal of PP by showing how perturbations within this framework can explain a broad range of psychopathology (the breadth of the PP framework), with a focus on bridging well-established psychosocial theories of psychopathology and PP. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Mismatch negativity and clinical trajectories in psychotic disorders: Five-year stability and predictive utility.

BACKGROUND: Mismatch negativity (MMN) amplitude is reduced in psychotic disorders and associated with symptoms and functioning. Due to these robust associations, it is often considered a biomarker for psychotic illness. The relationship between MMN and clinical outcomes has been examined well in early onset psychotic illness; however, its stability and predictive utility in chronic samples are not clear. METHOD: We examined the five-year stability of MMN amplitude over two timepoints in individuals with established psychotic disorders (cases; N = 132) and never-psychotic participants (NP; N = 170), as well as longitudinal associations with clinical symptoms and functioning. RESULTS: MMN amplitude exhibited good temporal stability (cases, r = 0.53; never-psychotic, r = 0.52). In cases, structural equation models revealed MMN amplitude to be a significant predictor of worsening auditory hallucinations (ß = 0.19), everyday functioning (ß = -0.13), and illness severity (ß = -0.12) at follow-up. Meanwhile, initial IQ (ß = -0.24), negative symptoms (ß = 0.23), and illness severity (ß = -0.16) were significant predictors of worsening MMN amplitude five years later. CONCLUSIONS: These results imply that MMN measures a neural deficit that is reasonably stable up to five years. Results support disordered cognition and negative symptoms as preceding reduced MMN, which then may operate as a mechanism driving reductions in everyday functioning and the worsening of auditory hallucinations in chronic psychotic disorders. This pattern may inform models of illness course, clarifying the relationships amongst biological mechanisms of predictive processing and clinical deficits in chronic psychosis and allowing us to better understand the mechanisms driving such impairments over time.

Pleasant and unpleasant odor identification ability is associated with distinct dimensions of negative symptoms transdiagnostically in psychotic disorders.

Negative symptoms are among the greatest sources of functional impairment for individuals with schizophrenia, yet their mechanisms remain poorly understood. Olfactory impairment is associated with negative symptoms. The processing of pleasant olfactory stimuli is subserved by reward-related neural circuitry while unpleasant olfactory processing is subserved by emotion-related neural circuitry, suggesting that these two odor dimensions may offer a window into differential mechanisms of negative symptoms. We examined whether pleasant and unpleasant odor identification bears differential relationships with avolition and inexpressivity dimensions of negative symptoms, whether these relationships are transdiagnostic, and whether pleasant and unpleasant odor processing also relate differently to other domains of functioning in a sample of individuals diagnosed with schizophrenia (N = 54), other psychotic disorders (N = 65), and never-psychotic adults (N = 160). Hierarchical regressions showed that pleasant odor identification was uniquely associated with avolition, while unpleasant odor identification was uniquely associated with inexpressivity. These relationships were largely transdiagnostic across groups. Additionally, pleasant and unpleasant odor identification displayed signs of specificity with other functional and cognitive measures. These results align with past work suggesting dissociable pathomechanisms of negative symptoms and provide a potential avenue for future work using valence-specific olfactory dysfunction as a semi-objective and low-cost marker for understanding and predicting the severity of specific negative symptom profiles.

Threat and uncertainty in the face of perceptual decision-making in anxiety.

Anxiety is defined as an anticipatory response to uncertain, future threats. It is unknown how anticipatory information regarding uncertainty about upcoming threatening and neutral stimuli impacts attention and perception in anxiety. Individuals with and without anxiety disorders performed two perceptual decision-making tasks in which they used threat or neutral prestimulus cues to discriminate between subsequent threatening and neutral faces. In one task, cues provided no probability information (high uncertainty). In the other, cues indicated a high probability of encountering threatening or neutral faces (low uncertainty). Under high uncertainty only, anxious apprehension was associated with worse discrimination between threatening versus neutral faces after threat cues. Additionally, anxious arousal was associated with worse discrimination after neutral cues in individuals with anxiety disorders. These findings will advance the field by spurring the development of more comprehensive and ecologically valid models in which anticipatory top-down factors influence threat perception in anxiety. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Is threat detection Black and White? Race effects in threat-related perceptual decision-making.

There is a vast literature base indicating that people respond differently to Black and White individuals based on differential perceptions of threat. As facial affect is a fundamental way that individuals communicate their emotional state, studies have examined differences in how Black and White threatening facial expressions are perceived. However, perceptual decisions regarding threatening and neutral stimuli often occur in familiar contexts or in environments where explicit cues indicate the presence or absence of threat. Furthermore, these decisions often occur in "noisy" (i.e., ambiguous) environments where the quality of sensory evidence is poor, requiring us to rely on perceptual "sets" or expectations to interpret such evidence. Therefore, in the present study we used a two-alternative perceptual decision-making task in which participants used threatening and neutral cue-elicited perceptual sets to discriminate between subsequently presented threatening and neutral Black and White faces. Threatening cues led to a greater tendency to decide that both Black and White faces were threatening, as well as faster and greater discriminability between threatening and neutral Black and White faces. However, race-related differences revealed that, following both cue types, discriminability between threatening and neutral Black faces was worse compared to White faces. Therefore, using a paradigm that is ecologically valid, our findings highlight the importance of examining basic aspects of visual perception to understand race-related differences in threat-related perceptual decision-making. Furthermore, these findings emphasize the importance of anticipatory top-down factors when making perceptual decisions about the presence or absence of threat in faces of different races. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Dynamic interplay between life events and course of psychotic disorders: 10-year longitudinal study following first admission.

BACKGROUND: Life events (LEs) are a risk factor for first onset and relapse of psychotic disorders. However, the impact of LEs on specific symptoms - namely reality distortion, disorganization, negative symptoms, depression, and mania - remains unclear. Moreover, the differential effects of negative v. positive LEs are poorly understood. METHODS: The present study utilizes an epidemiologic cohort of patients (N = 428) ascertained at first-admission for psychosis and followed for a decade thereafter. Symptoms were assessed at 6-, 24-, 48-, and 120-month follow-ups. RESULTS: We examined symptom change within-person and found that negative events in the previous 6 months predicted an increase in reality distortion (ß = 0.07), disorganized (ß = 0.07), manic (ß = 0.08), and depressive symptoms (ß = 0.06), and a decrease in negative symptoms (ß = -0.08). Conversely, positive LEs predicted fewer reality distortion (ß = -0.04), disorganized (ß = -0.04), and negative (ß = -0.13) symptoms, and were unrelated to mood symptoms. A between-person approach to the same hypotheses confirmed that negative LEs predicted change in all symptoms, while positive LEs predicted change only in negative symptoms. In contrast, symptoms rarely predicted future LEs. CONCLUSIONS: These findings confirm that LEs have an effect on symptoms, and thus contribute to the burden of psychotic disorders. That LEs increase positive symptoms and decrease negative symptoms suggest at least two different mechanisms underlying the relationship between LEs and symptoms. Our findings underscore the need for increased symptom monitoring following negative LEs, as symptoms may worsen during that time.

Structural Connectivity Between Rostral Anterior Cingulate Cortex and Amygdala Predicts First Onset of Depressive Disorders in Adolescence.

BACKGROUND: Adolescent-onset depressive disorders (DDs) are associated with deficits in the regulation of negative affect across modalities (self-report, behavioral paradigms, and neuroimaging), which may manifest prior to first-onset DDs. Whether the neurocircuitry governing emotional regulation predates DDs is unclear. This study tested whether a critical pathway for emotion regulation (rostral anterior cingulate cortex-amygdala structural connectivity) predicts first-onset DDs in adolescent females. METHODS: Diffusion tensor imaging data were acquired on adolescent females (n = 212) without a history of DDs and the cohort was reassessed for first-onset DDs over the next 27 months. RESULTS: A total of 26 girls developed first onsets of DDs in the 27 months after imaging. Multivariate logistic regression showed that lower weighted average fractional anisotropy of uncinate fasciculus tracts between the rostral anterior cingulate cortex and amygdala prospectively predicted first onset of DDs (adjusted odds ratio = 0.44, p = .005), above and beyond established risk factors including baseline depression symptom severity, history of anxiety disorders, parental history of depression, parental education, and age. CONCLUSIONS: This study provides evidence for the first time showing that aberrant structural connectivity between the rostral anterior cingulate cortex and amygdala prospectively predates first onset of DDs in adolescent females. These results highlight the importance of a well-established neural circuit implicated in the regulation of negative affect as a likely etiological factor and a promising target for intervention and prevention of DDs.

Association of attention and memory biases for negative stimuli with post-traumatic stress disorder symptoms.

Cognitive models have highlighted the role of attentional and memory biases towards negatively-valenced emotional stimuli in the maintenance of post-traumatic stress disorder (PTSD). However, previous research has focused mainly on attentional biases towards distracting (task-irrelevant) negative stimuli. Furthermore, attentional and memory biases have been examined in isolation and the links between them remain underexplored. We manipulated attention during encoding of trauma-unrelated negative and neutral words and examined the differential relationship of their encoding and recall with PTSD symptoms. Responders to the World Trade Center disaster (N = 392) performed tasks in which they read negative and neutral words and reported the color of another set of such words. Subsequently, participants used word stems to aid retrieval of words shown earlier. PTSD symptoms were associated with slower response times for negative versus neutral words in the word-reading task (r = 0.170) but not color-naming task. Furthermore, greater PTSD symptom severity was associated with more accurate recall of negative versus neutral words, irrespective of whether words were encoded during word-reading or color-naming tasks (F = 4.11, p = 0.044, ηp2 = 0.018). Our results show that PTSD symptoms in a trauma-exposed population are related to encoding of trauma-unrelated negative versus neutral stimuli only when attention was voluntarily directed towards the emotional aspects of the stimuli and to subsequent recall of negative stimuli, irrespective of attention during encoding.

They're watching you: the impact of social evaluation and anxiety on threat-related perceptual decision-making.

In day-to-day social interactions, we frequently use cues and contextual knowledge to make perceptual decisions regarding the presence or absence of threat in facial expressions. Such perceptual decisions are often made in socially evaluative contexts. However, the influence of such contexts on perceptual discrimination of threatening and neutral expressions has not been examined empirically. Furthermore, it is unclear how individual differences in anxiety interact with socially evaluative contexts to influence threat-related perceptual decision-making. In the present study, participants completed a 2-alternative forced choice perceptual decision-making task in which they used threatening and neutral cues to discriminate between threatening and neutral faces while being socially evaluated by purported peers or not. Perceptual sensitivity and reaction time were measured. Individual differences in state anxiety were assessed immediately after the task. In the presence of social evaluation, higher state anxiety was associated with worse perceptual sensitivity, i.e., worse discrimination of threatening and neutral faces. These findings suggest that individual differences in anxiety interact with social evaluation to impair the use of threatening cues to discriminate between threatening and neutral expressions. Such impairment in perceptual decision-making may contribute to maladaptive social behavior that often accompanies evaluative social contexts.

Mismatch negativity amplitude in first-degree relatives of individuals with psychotic disorders: Links with cognition and schizotypy.

Mismatch negativity (MMN) amplitude is reliably reduced in psychotic disorders. While several studies have examined this effect in first-degree relatives of individuals with schizophrenia, few have sought to quantify deficits in relatives of individuals with other psychotic disorders. While some conclude that, compared to healthy subjects, first-degree relatives of schizophrenia show reduced MMN, others contradict this finding. Furthermore, though MMN is often shown to be associated with cognitive impairments and clinical symptoms in psychotic disorders, to our knowledge no studies have sought to fully examine these relationships in studies of first-degree relatives. The present study sought to clarify the extent of MMN amplitude reductions in a large sample of siblings of individuals with diverse psychotic disorders (n = 67), compared to probands with psychosis (n = 221) and never psychotic comparison subjects (n = 251). We further examined associations of MMN amplitude with cognition and schizotypal symptoms across these groups. We found that MMN amplitude was intact in siblings compared to probands. MMN amplitude was associated with cognition and schizotypal symptoms dimensionally across levels of familial risk. The present results imply that MMN reductions do not reflect genetic risk for psychotic disorders per se, and instead emerge as a result of, or in conjunction with, clinical features associated with psychosis. Such findings carry important implications for the utility of MMN amplitude as an indicator of inherited risk, and suggest that this component may be best conceptualized as an endophenotype for clinical symptoms and cognitive impairments, rather than risk for psychosis per se.

Conspiratorial Thinking During COVID-19: The Roles of Paranoia, Delusion-Proneness, and Intolerance of Uncertainty.

The COVID-19 global pandemic has left many feeling a sense of profound uncertainty about their world, safety, and livelihood. Sources espousing misinformation and conspiracy theories frequently offer information that can help make sense of this uncertainty. Individuals high in intolerance of uncertainty (IU) may be particularly impacted by the impoverished epistemic environment and may thus be more drawn to conspiratorial thinking (CT). In the present work, we show across 2 studies (N = 519) that COVID-19-specific CT is associated with higher levels of IU as well as delusion-proneness, and paranoia. Furthermore, delusion-proneness and paranoia explained the relationship between IU and CT and emerged as independent partial correlates of CT even when controlling for other facets of schizotypy. In contrast, anxiety did not explain the relationship between IU and CT. Overall, our findings highlight the importance of individual differences in IU, delusion-proneness and paranoia in the development of CT in the context of the acute uncertainty of a global crisis, in which conspiracy theories are more prevalent and salient. Informational intervention designs may benefit from leveraging the body of work demonstrating the efficacy of targeting IU to incite meaningful changes in thinking.

Effects of a Brief Mindfulness-Based Attentional Intervention on Threat-Related Perceptual Decision-Making.

OBJECTIVES: Threat-related cues and contexts facilitate perceptual decision-making, yet it is unclear whether this threat-driven tuning of perceptual decision-making is modifiable by top-down attentional control. Since state and dispositional mindfulness are linked to improved attentional control, we examined whether these factors assist the use of prior knowledge to detect threatening stimuli. METHODS: Participants were randomly assigned to a brief mindfulness-based intervention (N=32) or a physics lecture audio recording (N=31) and then asked to perform a task in which they used threatening and neutral cues to discriminate between threatening and neutral faces. RESULTS: Results showed that threatening cues led to faster and more sensitive perceptual decision-making, specifically for threatening faces. Furthermore, higher levels of dispositional mindfulness were associated with improved ability to use cues to discriminate between threatening and neutral stimuli in the group that underwent a brief mindfulness induction but not in the control group. CONCLUSIONS: Our findings highlight how top-down attention-related dispositions and strategies can influence our ability to detect threats in our environment.

Online Survey of the Impact of COVID-19 Risk and Cost Estimates on Worry and Health Behavior Compliance in Young Adults.

The novel coronavirus COVID-19 pandemic is associated with elevated rates of anxiety and relatively lower compliance with public health guidelines in younger adults. To develop strategies for reducing anxiety and increasing adherence with health guidelines, it is important to understand the factors that contribute to anxiety and health compliance in the context of COVID-19. Earlier research has shown that greater perceived risk of negative events and their costs are associated with increased anxiety and compliance with health behaviors, but it is unclear what role they play in a novel pandemic surrounded by uncertainty. In the present study we measured (1) perceived risk as the self-reported probability of being infected and experiencing serious symptoms due to COVID-19 and (2) perceived cost as financial, real-world, physical, social, and emotional consequences of being infected with COVID-19. Worry was assessed using the Penn State Worry Questionnaire (PWSQ) and health compliance was measured as endorsement of the World Health Organization (WHO) health directives for COVID-19. Our results showed that greater perceived risk and costs of contracting the COVID-19 virus were associated with greater worry and while only costs were associated with greater compliance with health behaviors. Neither self-reported worry nor its interaction with cost estimates was associated with increased engagement in health behaviors. Our results provide important insight into decision making mechanisms involved in both increased anxiety and health compliance in COVID-19 and have implications for developing psychoeducational and psychotherapeutic strategies to target both domains.

Amygdala connectivity during emotional face perception in psychotic disorders.

Emotional face perception (EFP) deficits have been identified as a significant feature of psychotic disorders and are associated with symptoms and real-world functioning in these disorders. The amygdala is frequently implicated in EFP and bears extensive structural connectivity with other brain regions supporting EFP. Amygdala functional connectivity during attentional control of implicitly processed emotional faces in psychotic disorders is well examined. However, it is unclear whether amygdala functional connectivity while explicitly processing emotional faces contributes to EFP deficits in psychotic disorders. Further, it is unclear whether these connectivity differences are associated with symptoms or functioning and if these relationships are transdiagnostic across psychotic disorders. We used functional magnetic resonance imaging (fMRI) and seed-based functional connectivity analyses to examine connectivity of amygdala to other regions of the face processing network during an EFP task. The sample consisted of 55 cases with psychotic disorders and 29 participants with no history of psychosis (NP). Results indicated that, compared to NP, cases showed worse accuracy, greater inferior frontal gyrus (IFG) activation, and greater amygdala-insula connectivity while matching emotional and neutral faces. Additionally, worse accuracy, greater IFG activation, greater amygdala-insula and amygdala-IFG connectivity during emotional vs. neutral faces was associated with worse negative symptoms and greater deficits in social and global functioning in cases. Importantly, these relationships transcended diagnostic categories, and applied across psychotic disorders. The present study presents compelling evidence relating alterations in amygdala functional connectivity during explicit EFP with clinical and functioning deficits seen across psychotic disorders.

What we think about when we think about predictive processing.

The predictive processing framework (PPF) attempts to tackle deep philosophical problems, including how the brain generates consciousness, how our bodies influence cognition, and how cognition alters perception. As such, it provides a zeitgeist that incorporates concepts from physics, computer science, mathematics, artificial intelligence, economics, psychology, and neuroscience, leveraging and, in turn, influencing recent advances in reinforcement learning and deep learning that underpin the artificial intelligence in many of the applications with which we interact daily. PPF purports to provide no less than a grand unifying theory of mind and brain function, underwriting an account of perception, cognition, and action and their dynamic relationships. While mindful of legitimate criticisms of the framework, to which we return below, an important test of PPF is its utility in accounting for individual differences such as psychopathology. These, then, are the central concern of this special section of the Journal of Abnormal Psychology: What is the state of the art with regards to applying the PPF to the symptoms of mental illness? How might we leverage its insights to elevate and systematize our explanations, and ideally treatments, of those symptoms? And, conversely, can we refine and refute aspects of the PPF by considering the particular challenges that our patients experience as departures from the parametric estimates of the PPF? (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Associations of mismatch negativity with psychotic symptoms and functioning transdiagnostically across psychotic disorders.

Mismatch negativity (MMN) amplitude has been widely shown to be diminished in schizophrenia and, more recently, in other psychotic disorders. Although there is considerable evidence linking MMN reduction to cognitive and functional deficits in schizophrenia, there is little evidence of associations with specific psychotic symptoms. Further, it is unclear if MMN reductions relate to specific symptoms, cognitive, and functional deficits transdiagnostically across different psychotic disorders. The present study examines MMN amplitude in a large cohort of cases diagnosed with psychotic disorders including schizophrenia and schizoaffective disorder (N = 116); bipolar disorder and major depressive disorder (N = 75); and other psychotic disorders (N = 25), as well as individuals with no psychotic disorder diagnoses (N = 248). Furthermore, we examined the association of MMN with symptoms, cognitive functioning, and real-world functioning to determine whether these relationships differ by diagnosis. Results showed that MMN amplitude was reduced in cases overall compared to never-psychotic individuals, with no differences between psychotic disorders. Furthermore, there were transdiagnostic associations of reduced duration MMN (MMN-D) with worse auditory hallucinations (r = .14) and disorganization (r = .14), frequency MMN (MMN-F) with real-word functioning (r = .20) and episodic memory (r = -.22), and both components with executive functioning (MMN-D: r = -.17; MMN-F: r = -.15). Our findings relating MMN reductions with cognitive and real-world functioning replicate earlier research in schizophrenia and extend these relationships to other psychotic disorders. Furthermore, our correlations with MMN-D are consistent with computational modeling research and theoretical proposals that view MMN reduction, cognitive dysfunction, and psychotic symptoms as reflecting underlying predictive coding deficits. However, differences in relationships with MMN-F suggest that additional work is warranted on this topic. (PsycInfo Database Record (c) 2020 APA, all rights reserved).