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.

Transdiagnostic symptom of depression and anxiety associated with reduced gray matter volume in prefrontal cortex.

Dimensional models of psychopathology may provide insight into mechanisms underlying comorbid depression and anxiety and improve specificity and sensitivity of neuroanatomical findings. The present study is the first to examine neural structure alterations using the empirically derived Tri-level Model. Depression and anxiety symptoms of 269 young adults were assessed using the Tri-level Model dimensions: General Distress (transdiagnostic depression and anxiety symptoms), Anhedonia-Apprehension (relatively specific depression symptoms), and Fears (specific anxiety symptoms). Using structural MRI, gray matter volumes were extracted for emotion generation (amygdala, nucleus accumbens) and regulation (orbitofrontal, ventrolateral, and dorsolateral prefrontal cortex) regions, often implicated in depression and anxiety. Each Tri-level symptom was regressed onto each region of interest, separately, adjusting for relevant covariates. General Distress was significantly associated with smaller gray matter volumes in bilateral orbitofrontal cortex and ventrolateral prefrontal cortex, independent of Anhedonia-Apprehension and Fears symptom dimensions. These results suggests that prefrontal alterations are associated with transdiagnostic dysphoric mood common across depression and anxiety, rather than unique symptoms of these disorders. Additionally, no regions of interest were associated with Anhedonia-Apprehension or Fears, highlighting the importance of studying transdiagnostic features of depression and anxiety. This has implications for understanding mechanisms of and interventions for depression and anxiety.

Major stress in early childhood strengthens the association between peripheral inflammatory activity and corticostriatal responsivity to reward.

BACKGROUND: Severe, chronic stress during childhood accentuates vulnerability to mental and physical health problems across the lifespan. To explain this phenomenon, the neuroimmune network hypothesis proposes that childhood stressors amplify signaling between peripheral inflammatory cells and developing brain circuits that support processing of rewards and threats. Here, we conducted a preliminary test of the basic premises of this hypothesis. METHODS: 180 adolescents (mean age = 19.1 years; 68.9 % female) with diverse racial and ethnic identities (56.1 % White; 28.3 % Hispanic; 26.1 % Asian) participated. The Childhood Trauma Interview was administered to quantify early adversity. Five inflammatory biomarkers were assayed in antecubital blood - C-reactive protein, tumor necrosis factor-a, and interleukins-6, -8, and -10 - and were averaged to form a composite score. Participants also completed a functional MRI task to measure corticostriatal responsivity to the anticipation and acquisition of monetary rewards. RESULTS: Stress exposure and corticostriatal responsivity interacted statistically to predict the inflammation composite. Among participants who experienced major stressors in the first decade of life, higher inflammatory activity covaried with lower corticostriatal responsivity during acquisition of monetary rewards. This relationship was specific to participants who experienced major stress in early childhood, implying a sensitive period for exposure, and were evident in both the orbitofrontal cortex and the ventral striatum, suggesting the broad involvement of corticostriatal regions. The findings were independent of participants' age, sex, racial and ethnic identity, family income, and depressive symptoms. CONCLUSIONS: Collectively, the results are consistent with hypotheses suggesting that major stress in childhood alters brain-immune signaling.

Sleep and Daily Affect and Risk for Major Depression: Day-to-day and Prospective Associations in Late Adolescence and Early Adulthood.

PURPOSE: Poor sleep is associated with short-term dysregulation of mood and is a risk factor for major depressive disorder (MDD). This study examines whether objectively measured sleep in late adolescence prospectively predicts major depressive episode (MDE) onset in early adulthood as well as whether daily affect mediates this association. METHODS: The present study draws on subjective and objective sleep data, ecological momentary assessment, and diagnostic data from the longitudinal Youth Emotion Project to examine whether: a) short sleep predicts dysregulated ecological momentary assessment-measured mood the next day; b) sleep predicts depressive episodes over the subsequent 5 years; and c) dysregulated daily moods mediate the associations between short sleep and later MDD. Fixed effects, logistic regression, and formal mediation analyses were employed. RESULTS: Our results showed that nights with less sleep are followed by days with more negative affect; short sleep predicted MDEs over the subsequent 5 years (adjusting for prior MDD); and negative affect mediates the relationship between short sleep and later MDEs. DISCUSSION: Overall, our findings show sleep to be an important risk factor and hence a promising point of intervention for improving mood and reducing the risk of future MDEs in adolescents and early adults.

Sensitivity to change of the Systemic Therapy Inventory of Change (STIC) intersession scales.

Objective: The Systemic Therapy Inventory of Change (STIC) is a systemic measurement feedback system that provides therapists with feedback regarding the multidimensional clinical change in individual, couple, and family therapy. The STIC Intersession scales include Individual Problems and Strengths (IPS), Relationship with Partner (RWP), Family/Household (FH), and Child Problems and Strengths (CPS). They are administered to clients before each therapy session. The purpose of the current study is to investigate the STIC Intersession scales' sensitivity to change, the ability to detect reliable and valid changes that occur after an intervention. Method: Participants (N = 583) who voluntarily received individual, couple, or family therapy services in a randomized clinical trial attended the study. Results: By comparing the changes in pre-therapy and post-therapy scores of the STIC Intersession scales with those of the corresponding reference measures, the external sensitivity to change of the STIC Intersession scales was supported. The IPS Intersession scale showed greater change than the Beck Anxiety Inventory. However, no evidence supported the discriminant validity of CPS's change scores. Conclusion: Thus, the STIC Intersession IPS, RWP, and FH can be validly used to assess multi-systemic changes in both research and clinical work.

The Role of Positive and Negative Aspects of Life Events in Depressive and Anxiety Symptoms.

Negative or stressful life events are robust risk factors for depression and anxiety. Less attention has been paid to positive aspects of events and whether positivity buffers the impact of negative aspects of events. The present study examined positivity and negativity of interpersonal and non-interpersonal episodic life events in predicting anxiety and depressive symptoms in a sample of 373 young adults. Regressions tested main and interactive effects of positivity and negativity ratings of events in predicting symptom factors (Fears, Anhedonia-Apprehension (AA), General Distress (GD)) relevant to anxiety and depression. A significant interaction demonstrated that positivity protected against high levels of negativity of non-interpersonal events in predicting GD. A main effect of interpersonal negativity predicting higher AA was observed. Results for Fears were non-significant. Findings suggest that positivity of life events may buffer against negativity in predicting symptoms shared between anxiety and depression.

Broadening the scope: Multiple functional connectivity networks underlying threat and safety signaling.

Introduction: Threat learning and extinction processes are thought to be foundational to anxiety and fear-related disorders. However, the study of these processes in the human brain has largely focused on a priori regions of interest, owing partly to the ease of translating between these regions in human and non-human animals. Moving beyond analyzing focal regions of interest to whole-brain dynamics during threat learning is essential for understanding the neuropathology of fear-related disorders in humans. Methods: 223 participants completed a 2-day Pavlovian threat conditioning paradigm while undergoing fMRI. Participants completed threat acquisition and extinction. Extinction recall was assessed 48 hours later. Using a data-driven group independent component analysis (ICA), we examined large-scale functional connectivity networks during each phase of threat conditioning. Connectivity networks were tested to see how they responded to conditional stimuli during early and late phases of threat acquisition and extinction and during early trials of extinction recall. Results: A network overlapping with the default mode network involving hippocampus, vmPFC, and posterior cingulate was implicated in threat acquisition and extinction. Another network overlapping with the salience network involving dACC, mPFC, and inferior frontal gyrus was implicated in threat acquisition and extinction recall. Other networks overlapping with parts of the salience, somatomotor, visual, and fronto-parietal networks were involved in the acquisition or extinction of learned threat responses. Conclusions: These findings help confirm previous investigations of specific brain regions in a model-free fashion and introduce new findings of spatially independent networks during threat and safety learning. Rather than being a single process in a core network of regions, threat learning involves multiple brain networks operating in parallel coordinating different functions at different timescales. Understanding the nature and interplay of these dynamics will be critical for comprehensive understanding of the multiple processes that may be at play in the neuropathology of anxiety and fear-related disorders.

Personality predicts pre-COVID-19 to COVID-19 trajectories of transdiagnostic anxiety and depression symptoms.

This study aimed to characterize within-person pre-COVID-19 and coronavirus pandemic (COVID-19) transdiagnostic anxiety and depression symptom trajectories in emerging adults and determine the roles of neuroticism and behavioral activation in predicting these COVID-19-related changes. We recruited a sample of 342 emerging adults (aged 18-19 at baseline) who were screened on neuroticism and behavioral activation and completed symptom questionnaires on multiple occasions before and after the start of the pandemic. We examined estimates of the symptom factors of General Distress, Anhedonia-Apprehension, and Fears at each wave. The stress amplification model predicts a multiplicative neuroticism-adversity interaction with those high on neuroticism showing the greatest symptom increases to the pandemic. The stably elevated negative affect model is an additive model and predicts that persons high on neuroticism will display elevated symptoms at every wave. General Distress and Anhedonia-Apprehension showed large increases from the pre-COVID-19 to COVID-19 transition then decreased thereafter. The increase brought the average General Distress score to clinical levels at the first COVID-19 wave. There was a small decrease in Fears from the pre-COVID-19 to COVID-19 transition followed by a large increase. Thus, COVID-19 was associated with both increases in psychological symptoms and some resilience. Neuroticism positively predicted the pre-COVID-19 to COVID-19 transition change in Fears but was associated with a dampening of increases in General Distress and Anhedonia-Apprehension. The results disconfirmed the stress amplification model of neuroticism but partially supported the stably elevated negative affect model. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Examining the indirect contributions of irritability and chronic interpersonal stress on symptoms of anxiety and depression in adolescents.

BACKGROUND: Chronic interpersonal stress has been identified as predictive of anxiety and depression. However, more research is needed to understand predictors of chronic interpersonal stress and mediators of its relationship with anxiety and depression. Irritability, a transdiagnostic symptom closely related to chronic interpersonal stress, may provide more insight into this relationship. While some research has demonstrated that irritability is related to chronic interpersonal stress, directionality is unknown. A bidirectional relationship between irritability and chronic interpersonal stress was hypothesized, such that irritability mediates the relationship between chronic interpersonal stress and internalizing symptoms and chronic interpersonal stress mediates the relationship between irritability and internalizing symptoms. METHODS: This study used three cross-lagged panel models to investigate the indirect effects of irritability and chronic interpersonal stress on anxiety and depression symptoms using data from 627 adolescents (68.9 % female, 57.7 % white) over a six-year period. RESULTS: In partial support for our hypotheses, we found that the relationships between chronic interpersonal stress and both fears and anhedonia were mediated by irritability, and that the relationship between irritability and anhedonia was mediated by chronic interpersonal stress. LIMITATIONS: Study limitations include some temporal overlap in symptom measurements, an irritability measure that has not been previously validated to measure the construct, and lack of a lifespan perspective. CONCLUSIONS: More targeted approaches in intervention for both chronic interpersonal stress and irritability may improve prevention and intervention efforts to address anxiety and depression.

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

INTRODUCTION: Paranoia is a common and impairing psychosis symptom, which exists along a severity continuum that extends into the general population. Individuals at clinical high-risk for psychosis (CHR) frequently experience paranoia and this may elevate their risk for developing full psychosis. Nonetheless, limited work has examined the efficient measurement of paranoia in CHR individuals. The present study aimed to validate an often-used self-report measure, the revised green paranoid thoughts scale (RGPTS), in this critical population. METHOD: Participants were CHR individuals (n = 103), mixed clinical controls (n = 80), and healthy controls (n = 71) who completed self-report and interview measures. Confirmatory factor analysis (CFA), psychometric indices, group differences, and relations to external measures were used to evaluate the reliability and validity of the RGPTS. RESULTS: CFA replicated a two-factor structure for the RGPTS and the associated reference and persecution scales were reliable. CHR individuals scored significantly higher on both reference and persecution, relative to both healthy (ds = 1.03, 0.86) and clinical controls (ds = 0.64, 0.73). In CHR participants, correlations between reference and persecution and external measures were smaller than expected, though showed evidence of discriminant validity (e.g., interviewer-rated paranoia, r = 0.24). When examined in the full sample, correlation magnitude was larger and follow-up analyses indicated that reference related most specifically to paranoia (ß = 0.32), whereas persecution uniquely related to poor social functioning (ß = -0.29). CONCLUSION: These results demonstrate the reliability and validity of the RGPTS, though its scales related more weakly to severity in CHR individuals. The RGPTS may be useful in future work aiming to develop symptom-specific models of emerging paranoia in CHR individuals.

Longitudinal associations among dimensional symptoms of depression and anxiety and first onset suicidal ideation in adolescents.

INTRODUCTION: Depression and anxiety are implicated in suicide risk, but the contributionof specific symptom dimensions within these disorders is not well understood. The present study examined longitudinal associations of transdiagnostic symptoms (General Distress[GD]) and unique symptom dimensions (Anhedonia-Apprehension [AA], Fears, and Narrow Depression [ND]) of depression and anxiety and suicidal ideation (SI). METHODS: Data from 551 adolescents oversampled on high neuroticism were examined in a series of discrete-time survival analyses to predict first SI onset over an 8-year period. RESULTS: Results indicate that GD, AA, and ND were independent predictors of increased likelihood of SI onset and remained significant when controlling for effects of fears. Furthermore, AA and GD remained significant when controlling for one another. ND effects reduced by 24% when adjusting for AA and 74% when adjusting for GD. Fears did not significantly predict SI onset. CONCLUSION: Results suggest that broad levels of distress across depression and anxiety, deficits in positive affect, and elevated negative affect specific to depression increase the likelihood of suicidal thoughts. As such, attention to broader distress and a lack of pleasure, interest, and motivation-potentially more so than negative affect characterizing depression-are particularly important for addressing suicide risk in adolescents.

Experiences of adversity in childhood and adolescence and cortisol in late adolescence.

Early life adversity influences the diurnal cortisol rhythm, yet the relative influence of different characteristics of adversity remains unknown. In this study, we examine how developmental timing (childhood vs. adolescence), severity (major vs. minor), and domain of early life adversity relate to diurnal cortisol rhythms in late adolescence. We assessed adversity retrospectively in early adulthood in a subsample of 236 participants from a longitudinal study of a diverse community sample of suburban adolescents oversampled for high neuroticism. We used multilevel modeling to assess associations between our adversity measures and the diurnal cortisol rhythm (waking and bedtime cortisol, awakening response, slope, and average cortisol). Major childhood adversities were associated with flatter daily slope, and minor adolescent adversities were associated with greater average daily cortisol. Examining domains of childhood adversities, major neglect and sexual abuse were associated with flatter slope and lower waking cortisol, with sexual abuse also associated with higher cortisol awakening response. Major physical abuse was associated with higher waking cortisol. Among adolescent adversities domains, minor neglect, emotional abuse, and witnessing violence were associated with greater average cortisol. These results suggest severity, developmental timing, and domain of adversity influence the association of early life adversity with stress response system functioning.

Threat Neurocircuitry Predicts the Development of Anxiety and Depression Symptoms in a Longitudinal Study.

BACKGROUND: Owing to high heterogeneity and comorbidity, the shared and unique neural mechanisms underlying the development of anxiety and major depressive disorders remain unclear. Using a dimensional model describing shared versus unique symptoms associated with anxiety and depression, this study investigated how longitudinal changes in symptom dimensions relate to threat neurocircuitry. METHODS: Participants were 18- to 19-year-olds (N = 279, 186 females) who completed self-report measures of anxiety and depression at baseline and at 10, 20, and 30 months. Linear slopes of symptom dimensions of general distress, fear, and anhedonia-apprehension were estimated through a trilevel factorial model. In addition, functional magnetic resonance imaging scans were obtained while participants performed Pavlovian fear conditioning tasks at baseline and 30 months, including three phases of fear acquisition, extinction, and extinction recall. Neural responses in regions of interest related to threat neural circuitry (e.g., amygdala, ventromedial prefrontal cortex, and subgenual anterior cingulate cortex) were extracted. RESULTS: Linear mixed models used to estimate relationships between changes of symptom dimensions and neural responses revealed two major findings: 1) greater neural responses to threatening stimuli during fear acquisition at baseline were associated with a greater increase in fear symptoms during the 30-month prospective period; and 2) elevated neural responses to the extinguished stimulus during extinction recall at 30 months were negatively associated with changes in general distress, suggesting that greater increases in general distress are associated with larger deficits in extinction memory. CONCLUSIONS: These findings improve our understanding of pathophysiological pathways underlying the development of anxiety and depression, while separating symptom dimensions that are shared versus unique between the two disorders.

A Multivoxel Pattern Analysis of Anhedonia During Fear Extinction: Implications for Safety Learning.

BACKGROUND: Pavlovian learning processes are central to the etiology and treatment of anxiety disorders. Anhedonia and related perturbations in reward processes have been implicated in Pavlovian learning. Associations between anhedonia symptoms and neural indices of Pavlovian learning can inform transdiagnostic associations among depressive and anxiety disorders. METHODS: Participants ages 18 to 19 years (67% female) completed a fear extinction (n = 254) and recall (n = 249) paradigm during functional magnetic resonance imaging. Symptom dimensions of general distress (common to anxiety and depression), fears (more specific to anxiety), and anhedonia-apprehension (more specific to depression) were evaluated. We trained whole-brain multivoxel pattern decoders for anhedonia-apprehension during extinction and extinction recall and tested the decoders' ability to predict anhedonia-apprehension in an external validation sample. Specificity analyses examined effects covarying for general distress and fears. Decoding was repeated within canonical brain networks to highlight candidate neurocircuitry underlying whole-brain effects. RESULTS: Whole-brain decoder training succeeded during both tasks. Prediction of anhedonia-apprehension in the external validation sample was successful for extinction (R2 = 0.047; r = 0.276, p = .002) but not extinction recall (R2 < 0.001, r = -0.063, p = .492). The extinction decoder remained significantly associated with anhedonia-apprehension covarying for fears and general distress (t121 = 3.209, p = .002). Exploratory results highlighted activity in the cognitive control, default mode, limbic, salience, and visual networks related to these effects. CONCLUSIONS: Results suggest that patterns of brain activity during extinction, particularly in the cognitive control, default mode, limbic, salience, and visual networks, can be predictive of anhedonia symptoms. Future research should examine associations between anhedonia and extinction, including studies of exposure therapy or positive affect treatments among anhedonic individuals.

Examining the dimensionality of anxiety and depression: A latent profile approach to modeling transdiagnostic features.

Depression and anxiety are highly prevalent psychological disorders; our understanding of these conditions remains limited. Efforts to explain anxiety and depression have been constrained in part by binary classification systems. Dimensional approaches to understanding psychopathology may be more effective. The present study used latent profile analysis (LPA) to assess whether unique subgroups exist within a tri-level model of anxiety and depression. Participants (N=627) completed self-report questionnaires from which tri-level model factors were derived. LPA was conducted on those factors. A 4-profile model offered optimal fit to the data at baseline. This model was replicated at a second time point. Models derived included profiles labelled 'Mixed Fears,' 'Anxious Arousal,' 'Low Mood/Anhedonia,' and 'Sub-Clinical.' Profiles were validated at Time 1 using diagnostic status and clinical severity ratings associated with mood and anxiety presentations. Profiles demonstrated flexibility in accommodating breadth in clinical presentations and common comorbidities. Latent variable models may offer more ecologically valid approaches to understanding psychopathology.

Fear-potentiated startle predicts longitudinal change in transdiagnostic symptom dimensions of anxiety and depression.

BACKGROUND: Elevated defensive responding, through startle reflex (SR) and skin conductance response (SCR), may contribute to onset and maintenance of depression and anxiety. Most work examining SR and SCR has predicted psychiatric diagnoses. There is a paucity of research examining links between SR or SCR and dimensional measures of psychopathology. METHODS: We used latent growth curve modeling to predict longitudinal change in three symptom factors (i.e., General Distress, Fears, Anhedonia-Apprehension) from SR and SCR measured during a fear-potentiated startle paradigm among adolescents oversampled for neuroticism (N = 129). RESULTS: Elevated SCR in danger phases before and after an unpleasant muscle contraction predicted increasing Fears over time. Elevated SR in safe phases post-contraction also predicted increasing Fears over time. Attenuated SR in safe phases post-contraction predicted elevated General Distress longitudinally. Attenuated SCR pre-contraction in danger phases predicted elevated Anhedonia-Apprehension over time. LIMITATIONS: Our non-clinical sample may limit generalizability of results. Additionally, we did not assess change in SR and SCR over time. CONCLUSIONS: The present study demonstrates that SR and SCR during a fear-potentiated startle paradigm predict longitudinal change in dimensional anxiety and depression symptom factors and relatedly, that SR and SCR may represent risk factors for the exacerbation of symptomatology.

A Current Learning Theory Approach to the Etiology and Course of Anxiety and Related Disorders.

The authors describe how contemporary learning theory and research provide the basis for models of the etiology and maintenance of anxiety and related disorders. They argue that contemporary learning theory accounts for much of the complexity associated with individual differences in the development and course of these disorders. These insights from modern research on learning overcome the limitations of earlier behavioral approaches, which were overly simplistic and have been justifiably criticized. The authors show how considerations of early learning histories and temperamental vulnerabilities affect the short- and long-term likelihood that experiences with stressful events will lead to the development of anxiety disorders. They also discuss how contextual variables during and after stressful learning experiences influence the maintenance of anxiety disorder symptoms. Thus, contemporary learning models provide a rich and nuanced understanding of the etiology and course of anxiety and related disorders.

Individual differences in threat and reward neural circuitry activation: Testing dimensional models of early adversity, anxiety and depression.

Altered functioning of the brain's threat and reward circuitry has been linked to early life adversity and to symptoms of anxiety and depression. To date, however, these relationships have been studied largely in isolation and in categorical-based approaches. It is unclear to what extent early life adversity and psychopathology have unique effects on brain functioning during threat and reward processing. We examined functional brain activity during a face processing task in threat (amygdala and ventromedial prefrontal cortex) and reward (ventral striatum and orbitofrontal cortex) regions of interest among a sample (N = 103) of young adults (aged 18-19 years) in relation to dimensional measures of early life adversity and symptoms of anxiety and depression. Results demonstrated a significant association between higher scores on the deprivation adversity dimension and greater activation of reward neural circuitry during viewing of happy faces, with the largest effect sizes observed in the orbitofrontal cortex. We found no significant associations between the threat adversity dimension, or symptom dimensions of anxiety and depression, and neural activation in threat or reward circuitries. These results lend partial support to theories of adversity-related alterations in neural activation and highlight the importance of testing dimensional models of adversity and psychopathology in large sample sizes to further our understanding of the biological processes implicated.

Increased face detection responses on the mooney faces test in people at clinical high risk for psychosis.

Identifying state-sensitive measures of perceptual and cognitive processes implicated in psychosis may allow for objective, earlier, and better monitoring of changes in mental status that are predictive of an impending psychotic episode, relative to traditional self-report-based clinical measures. To determine whether a measure of visual perception that has demonstrated sensitivity to the clinical state of schizophrenia in multiple prior studies is sensitive to features of the at-risk mental state, we examined differences between young people identified as being at clinical high risk for psychosis (CHR; n = 37) and non-psychiatric matched controls (n = 29) on the Mooney Faces Test (MFT). On each trial of the MFT, participants report whether they perceive a face in a degraded face image. The CHR group reported perceiving a greater number of faces in both upright and inverted MFT stimuli. Consistent with prior work, males reported more faces on the MFT than females in both conditions. However, the finding of greater reported face perception among CHR subjects was robustly observed in the female CHR group relative to the female control group. Among male CHR participants, greater reported face perception was related to increased perceptual abnormalities. These preliminary results are consistent with a small but growing literature suggesting that heightened perceptual sensitivity may characterize individuals at increased clinical risk for psychosis. Further studies are needed to determine the contributions of specific perceptual, cognitive, and motivational mechanisms to the findings.

Exploring change in cognitive-behavioral therapy for generalized anxiety disorder-A two-arms ABAB crossed-therapist randomized clinical implementation trial.

OBJECTIVE: There is little evidence-based knowledge of how psychotherapists should handle both sudden gains and more gradual session-by-session changes, either in general or in individuals suffering from generalized anxiety disorder. METHODS: Using an ABAB crossed-therapist randomized clinical implementation trial design (N = 80 patients and 20 therapists), we contrasted a Prolonged Focus on Change (PFC, N = 40) implementation with a State-Of-The-Art (SOTA, N = 40) implementation. Both implementations were based on a widely used cognitive behavioral therapy approach (Mastery of your Anxiety and Worry package) with the only difference that in the PFC implementation, the therapists were instructed to systematically explore eventual changes at the beginning of the therapy sessions. RESULTS: Based on a 3-level hierarchical linear model, PFC implementation showed faster symptom reduction in worry over therapy (i.e., linear change) and a decelerated (quadratic) change until 12-month follow-up in comparison to the SOTA implementation. CONCLUSION: These findings provide clinically useful information about potential short-term and long-term effects of exploring occurring change in GAD populations. Randomized clinical implementation trial designs are a step forward allowing to experimentally investigate basic psychotherapeutic strategies in process-based psychotherapy. (PsycInfo Database Record (c) 2021 APA, all rights reserved).