Reinforcement learning profiles and negative symptoms across chronic and clinical high-risk phases of psychotic illness.

Negative symptoms are prominent in individuals with schizophrenia (SZ) and youth at clinical high-risk for psychosis (CHR). In SZ, negative symptoms are linked to reinforcement learning (RL) dysfunction; however, previous research suggests implicit RL remains intact. It is unknown whether implicit RL is preserved in the CHR phase where negative symptom mechanisms are unclear, knowledge of which may assist in developing early identification and prevention methods.

Preliminary evidence supporting the practice of psychosis-risk screening within an inpatient psychiatric setting serving adolescents.

Evidence supports the use of brief psychosis-spectrum screening measures to identify individuals at elevated risk for psychosis, however, there is limited research on psychosis-spectrum screening among adolescents hospitalized for acute mental health concerns. Given the psychiatric vulnerability of this population, screening efforts within inpatient settings may help identify adolescents at greatest risk for ongoing mental health concerns including psychosis. This study investigates the use of two brief screening tools to identify psychosis-spectrum symptoms in psychiatrically hospitalized adolescents.

Reprint of: A review of negative symptom assessment strategies in youth at clinical high-risk for psychosis.

Studies attempting to deconstruct the heterogeneity of schizophrenia and the attenuated psychosis syndrome consistently find that negative symptoms are a core dimension that is distinct from other aspects of the illness (e.g., positive and disorganized symptoms).

A review of negative symptom assessment strategies in youth at clinical high-risk for psychosis.

Studies attempting to deconstruct the heterogeneity of schizophrenia and the attenuated psychosis syndrome consistently find that negative symptoms are a core dimension that is distinct from other aspects of the illness (e.g., positive and disorganized symptoms).

Mathematically Modeling Anhedonia in Schizophrenia: A Stochastic Dynamical Systems Approach.

Objective: Anhedonia, traditionally defined as a diminished capacity for pleasure, is a core symptom of schizophrenia (SZ). However, modern empirical evidence indicates that hedonic capacity may be intact in SZ and anhedonia may be better conceptualized as an abnormality in the temporal dynamics of emotion.

Method: To test this theory, the current study used ecological momentary assessment (EMA) to examine whether abnormalities in one aspect of the temporal dynamics of emotion, sustained reward responsiveness, were associated with anhedonia.

Childhood abuse, posttraumatic stress symptoms, and alcohol misuse among African-American women.

The study explored associations among childhood abuse, post-traumatic stress symptoms (PTSS), and alcohol misuse in a sample of low-income African-American women ( = 172). Using bootstrapping techniques, a mediation effect was found of childhood physical and emotional abuse on alcohol misuse via PTSS symptom severity, avoidance, and hyperarousal, as well as for childhood sexual abuse on alcohol misuse via PTSS symptom severity and hyperarousal. Our results suggest that PTSS indicators, particularly symptom severity and hyperarousal, may be important mechanisms underlying the association of experiences of abuse during childhood and alcohol misuse in adulthood.

A meta-analysis of self-reported anticipatory and consummatory pleasure in the schizophrenia-spectrum.

Objective: Recent conceptual frameworks propose anhedonia reflects abnormalities in the temporal dynamics of positive emotion in schizophrenia, characterized by intact consummatory and impaired anticipatory pleasure. A comprehensive meta-analysis can directly test this theory using self-report data.

Method: A meta-analysis was performed on studies reporting Temporal Experience of Pleasure Scale (TEPS) data from healthy controls and schizophrenia or schizotypy groups.

Interactive effects of age and recent substance use on striatal shape morphology at substance use disorder treatment entry.

Background: Striatal neuroadaptations are regarded to play an important role in the progression from voluntary to compulsive use of addictive substances and provide a promising target for the identification of neuroimaging biomarkers. Recent advances in surface-based computational analysis enable morphological assessment linking variations in global and local striatal shape to duration and magnitude of substance use with a degree of sensitivity that exceeds standard volumetric analysis.

Methods: This study used a new segmentation methodology coupled with local surface-based indices of surface area and displacement to provide a comprehensive structural characterization of the striatum in 34 patients entering treatment for substance use disorder (SUD) and 49 controls, and to examine the influence of recent substance use on abnormal age-related striatal deformation in SUD patients.

Emotion regulation across the psychosis continuum.

Emotion regulation dysfunction is characteristic of psychotic disorders, but little is known about how the use of specific types of emotion regulation strategies differs across phases of psychotic illness. This information is vital for understanding factors contributing to psychosis vulnerability states and developing targeted treatments. Three studies were conducted to examine emotion regulation across phases of psychosis, which included (a) adolescent community members with psychotic-like experiences (PLEs; n = 262) and adolescents without PLEs (n = 1,226); (b) adolescents who met clinical high-risk criteria for a prodromal syndrome (n = 29) and healthy controls (n = 29); and (c) outpatients diagnosed with schizophrenia or schizoaffective disorder (SZ; n = 61) and healthy controls (n = 67).

Network Analysis Reveals Which Negative Symptom Domains Are Most Central in Schizophrenia vs Bipolar Disorder.

Network analysis was used to examine how densely interconnected individual negative symptom domains are, whether some domains are more central than others, and whether sex influenced network structure. Participants included outpatients with schizophrenia (SZ; n = 201), a bipolar disorder (BD; n = 46) clinical comparison group, and healthy controls (CN; n = 27) who were rated on the Brief Negative Symptom Scale. The mutual information measure was used to construct negative symptom networks.

Anhedonia reflects impairment in making relative value judgments between positive and neutral stimuli in schizophrenia.

Anhedonia (i.e., diminished capacity to experience pleasure) has traditionally been viewed as a core symptom of schizophrenia (SZ).

Sensitivity of the Positive and Negative Syndrome Scale (PANSS) in Detecting Treatment Effects via Network Analysis.

The Positive and Negative Syndrome Scale is a primary outcome measure in clinical trials examining the efficacy of antipsychotic medications. Although the Positive and Negative Syndrome Scale has demonstrated sensitivity as a measure of treatment change in studies using traditional univariate statistical approaches, its sensitivity to detecting network-level changes in dynamic relationships among symptoms has yet to be demonstrated using more sophisticated multivariate analyses. In the current study, we examined the sensitivity of the Positive and Negative Syndrome Scale to detecting antipsychotic treatment effects as revealed through network analysis.

An ecological momentary assessment evaluation of emotion regulation abnormalities in schizophrenia.

Background: Prior studies using self-report questionnaires and laboratory-based methods suggest that schizophrenia is characterized by abnormalities in emotion regulation (i.e. using strategies to increase or decrease the frequency, duration, or intensity of negative emotion).