Functional connectivity associated with improvement in emotion management after cognitive enhancement therapy in early-course schizophrenia.

BACKGROUND: The ability to manage emotions is an important social-cognitive domain impaired in schizophrenia and linked to functional outcome. The goal of our study was to examine the impact of cognitive enhancement therapy (CET) on the ability to manage emotions and brain functional connectivity in early-course schizophrenia. METHODS: Participants were randomly assigned to CET (n = 55) or an enriched supportive therapy (EST) control group (n = 45). The resting-state functional magnetic resonance imaging scans and measures of emotion management performances were collected at baseline, 9, and 18 months follow-up. The final sample consisted of 37 CET and 25 EST participants, including 19 CET and 12 EST participants with imaging data. Linear mixed-effects models investigated the impact of treatment on emotion management and functional connectivity from the amygdala to ventrolateral and dorsolateral prefrontal cortex (dlPFC). RESULTS: The CET group showed significant improvement over time in emotion management compared to EST. Neither functional connectivity changes nor main group differences were observed following treatment. However, a significant between-group interaction showed that improved emotion management ability was associated with increased functional connectivity between the left amygdala and the left dlPFC in the CET group exclusively. CONCLUSION: Our results replicate the previous work demonstrating that CET is effective at improving some aspects of social cognition in schizophrenia. We found evidence that improvement in emotion management may be associated with a change in amygdala-dlPFC connectivity. This fronto-limbic circuit may provide a mechanistic link between the biology of emotion management processes that can be enhanced in individuals with schizophrenia.

Premorbid Sociality Moderates Social Adjustment Change during Cognitive Enhancement Therapy for Adults with Early Schizophrenia.

OBJECTIVE: Cognitive remediation approaches for early course schizophrenia are promising interventions for improving social adjustment. Premorbid sociality is a potentially important moderator of social adjustment response to cognitive remediation and may serve to personalize such interventions. METHOD: Eighty-eight early course schizophrenia outpatients with premorbid sociality scores were included in this preliminary investigation. Secondary data came from a recent 18-month multi-site confirmatory trial of Cognitive Enhancement Therapy (CET) compared to Enriched Supportive Therapy (EST). Intent-to-treat mixed effects models examined the moderating effect of premorbid sociality assessed at baseline on differential social adjustment change between CET and EST assessed at baseline, 9, and 18 months. RESULTS: Premorbid sociality significantly moderated the differential effect of CET vs. EST on overall social adjustment change at 18 months, such that CET was particularly effective for patients with high premorbid sociality and EST for low premorbid sociality. This significant group x time x premorbid sociality interaction was also observed for 18-month change in interpersonal anguish, self-care, and sexual relations. Again, CET was largely favorable for higher premorbid sociality patients and EST for lower premorbid sociality for these sub-scales. CONCLUSIONS: The results provide initial evidence that premorbid sociality moderates differential social adjustment change during cognitive remediation in early course schizophrenia. In many, but not all cases, better social functioning prior to the development of schizophrenia was associated with a significantly better social adjustment response to CET. Data on social functioning during childhood and adolescence is possibly useful for personalizing treatment planning in the early course of schizophrenia.

Transdiagnostic validity of the MATRICS Consensus Cognitive Battery across the autism-schizophrenia spectrum.

BACKGROUND: Autism Spectrum Disorder (ASD) and schizophrenia are neurodevelopmental disorders which share substantial overlap in cognitive deficits during adulthood. However, treatment evaluation in ASD and treatment comparisons across ASD and schizophrenia are limited by a dearth of empirical work establishing the validity of a standard cognitive battery across ASD and schizophrenia. Promisingly, the MATRICS Consensus Cognitive Battery (MCCB) has been validated in schizophrenia and encompasses cognitive domains that are impacted in ASD. Thus, this study aimed to establish MCCB's generalizability from schizophrenia to ASD. METHODS: Community-residing adults with schizophrenia (N = 100) and ASD (N = 113) underwent MCCB assessment. Using multigroup confirmatory factor analysis, MCCB's transdiagnostic validity was evaluated by examining whether schizophrenia and ASD demonstrate the same configuration, magnitude, and directionality of relationships within and among measures and their underlying cognitive domains. RESULTS: Across schizophrenia and ASD, the same subsets of MCCB measures inform three cognitive domains: processing speed, attention/working memory, and learning. Except for group means in category fluency, continuous performance, and spatial span, both groups show vastly comparable factor structures and characteristics. CONCLUSIONS: To our knowledge, this study is the first to establish the validity of a standard cognitive battery in adults with ASD and furthermore the first to establish a cognitive battery's comparability across ASD and schizophrenia. Cognitive domain scores can be compared across new samples using weighted sums of MCCB scores resulting from this study. These findings highlight MCCB's applicability to ASD and support its utility for standardizing treatment evaluation of cognitive outcomes across the autism-schizophrenia spectrum.

Neural Correlates of Trait Rumination During an Emotion Interference Task in Women With PTSD.

Rumination, defined as repetitive, negative, self-focused thinking, is hypothesized to be a transdiagnostic factor that is associated with depression, anxiety, and posttraumatic stress disorder (PTSD). Theory has suggested that in individuals with PTSD, rumination serves as a cognitive avoidance factor that contributes to the maintenance of symptoms by inhibiting the cognitive and emotional processing of the traumatic event, subsequently interfering with treatment engagement and outcome. Little is known about the neural correlates of rumination in women with PTSD. The current study utilized functional magnetic resonance imaging (fMRI) to examine neural correlates during an emotion interference task of self-reported rumination in women with PTSD. Women with PTSD (39 participants) were recruited at a university-based trauma clinic and completed a clinical evaluation that included measures of PTSD symptoms, rumination, and depressive symptoms, as well as a neuroimaging session in which the participants were administered an emotion interference task. There was a significant relationship between self-reported rumination and activity in the right orbital frontal cortex, BA 11; t(37) = 5.62, p = .004, k = 46 during the task. This finding suggested that women with PTSD, who had higher levels of rumination, may experience greater difficulty inhibiting negative emotional stimuli compared to women with lower levels of rumination.

Symptom contributors to quality of life in schizophrenia: Exploratory factor and network analyses.

Individuals with schizophrenia and other associated disorders experience significant disturbance to their quality of life (QoL) due to a multitude of co-occurring symptoms. Popular evidence-based practices (EBPs) devote significant effort to reduce positive symptomatology in order to prevent relapse, while emerging research posits that other symptoms (cognitive deficits, negative and affective symptoms) are more indicative of QoL disturbance. This study sought to examine the impact of symptom constructs on QoL and attempt to infer directionality of influence via network analysis. A total of 102 recovery phase adult outpatients with schizophrenia spectrum disorders were assessed on positive, negative, and affective symptomatology, in addition to QoL and cognitive abilities. Exploratory factor analysis and network analysis were performed to identify associations and infer directed influence between symptom constructs, and a directed acyclic graph was constructed to observe associations between symptom domains and QoL. Factor analysis results indicated that individual measures align with their respective symptom constructs. Strong factor correlations were found between QoL and the negative and affective symptom constructs, with weaker associations found between positive symptoms and cognition. Visualization of the network structure illustrated QoL as the central cluster of the network, and examination of the weighted edges found the strongest connectivity between QoL, negative symptomatology, and affective symptoms. More severe negative and affective symptoms were most directly linked with poorer QoL and may prove to be integral in attaining positive outcomes in schizophrenia treatment. Incorporation of psychosocial treatments in addition to pharmacotherapy may prove effective in targeting negative and affective symptoms.

Confirmatory factor analysis of the 12-item World Health Organization Disability Assessment Schedule 2.0 (WHODAS-2.0) within the clubhouse model of psychosocial rehabilitation for serious mental illness.

OBJECTIVE: The Clubhouse model (CM) for serious mental illness is a recovery-oriented and member-driven program that aims to facilitate functional recovery. Efficacy evaluation of the CM is limited by lack of uniform functional disability assessment. The World Health Organization Disability Assessment Schedule 2.0 (WHODAS-2.0) is a widely accepted measure of functional disability, but its psychometric properties have yet to be examined within the CM. METHOD: This research sought to confirm the generic six-factor structure of the 12-item WHODAS-2.0 using retrospective administrative data from 339 adults with serious mental illness from an accredited Clubhouse. A second-order confirmatory factor analysis was conducted, followed by secondary known-groups analyses to examine whether the WHODAS-2.0 differentiates between subgroups with varying degrees of disability. RESULTS: The WHODAS-2.0 demonstrated good overall reliability. The generic six-factor structure produced nonsignificant loadings due to lack of independence between the "participation" and "getting along" factors. The items of these two factors were combined into a five-factor model, which displayed excellent fit, with all significant paths and adequate-to-strong loadings, and no correlation among errors. The WHODAS-2.0 significantly differentiated members by receipt of public assistance, employment status, and number of medical comorbidities, supporting construct validity. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: These results provide initial support for the use of the 12-item WHODAS-2.0 as a CM-related outcome measure and encourage future research of the full 36-item version. The intentional community approach of the CM is unique and may require adjustments to the factor structure of the WHODAS-2.0 by merging the "participation" and "getting along" domains. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Predictors of treatment discontinuation during an 18-month multi-site randomized trial of Cognitive Enhancement Therapy for early course schizophrenia.

Treatment discontinuation during clinical trials in schizophrenia is a critical challenge, especially for longer-term interventions in the early course. This research explored predictors of treatment discontinuation in an outpatient early course schizophrenia sample (N = 102) during an 18-month multi-site trial of Cognitive Enhancement Therapy (n = 58) and Enriched Supportive Therapy (n = 44). Fifty-three (52%) participants discontinued, with no significant difference between the treatment groups in discontinuation rate. Univariate and multivariate binary logistic regression models explored differences in key demographic and cognitive and behavioral outcomes between participants who completed and discontinued treatment. Significant multivariate predictors of discontinuation included IQ (linear) and problem solving (curvilinear). The concave shape of the problem solving prediction demonstrated that initially as scores were increasing the probability of non-completion was increasing. However, after a score of 41 (below average problem solving), the probability of being a non-completer decreased as performance increased. Non-completers had significantly lower IQ scores compared to completers. Post-hoc analyses indicated that participants who discontinued prior to mid-treatment exhibited the greatest intellectual challenges, with comparisons moderate-to-large in strength. IQ and problem solving are likely important factors to assess at pre-treatment in early course schizophrenia trials to identify those most vulnerable to discontinuation.

Confirmatory Efficacy of Cognitive Enhancement Therapy for Early Schizophrenia: Results From a Multisite Randomized Trial.

OBJECTIVE: Cognitive enhancement therapy (CET) is an 18-month comprehensive cognitive remediation intervention designed to improve cognition and functioning among patients with schizophrenia. The current study sought to confirm previously observed benefits of CET on cognitive and behavioral outcomes in the early course of the condition in a large multisite trial. METHODS: Overall, 102 outpatients with early-course schizophrenia were randomly assigned to 18 months of CET (N=58) or enriched supportive therapy (EST; N=44). Participants completed cognitive, social adjustment, and symptom assessments at baseline and at 9 and 18 months. Composite indices were calculated for these outcomes. Mixed-effects models investigated differential changes in outcomes between CET and EST. Because of a high attrition rate, sensitivity analyses of data from treatment completers (N=49) were conducted. RESULTS: The effects of CET on improved overall cognition were confirmed and tentatively confirmed for social cognition in both intent-to-treat and completer analyses, and beneficial effects on attention/vigilance were also observed. An effect of CET on social adjustment was not confirmed in the analyses, because both CET and EST groups had considerably improved social adjustment. Although not statistically significant, the between-group effect size for CET's effect on social adjustment doubled from the intent-to-treat (Cohen's d=0.23) to completer analyses (Cohen's d=0.51) (p=0.057). Both groups displayed similar symptom improvements. CONCLUSIONS: CET effectively improved cognition among patients with early-course schizophrenia. The functional benefits of CET appeared to increase with treatment retention. Further research is needed to understand predictors of attrition and mechanisms of change during CET for this population.

Meta-Analysis of the Treatment of Posttraumatic Stress Disorder in Adults With Comorbid Severe Mental Illness.

Objective: To evaluate the efficacy of psychosocial treatments for posttraumatic stress disorder (PTSD) among individuals with a comorbid severe mental illness (SMI; ie, schizophrenia, bipolar disorder, major depressive disorder).Data Sources: PubMed, PsycINFO, CINAHL, and Cochrane Library were searched from January 1998 to March 2020 using keywords related to PTSD, treatment, and severe mental illness.Study Selection: All clinical trials for PTSD psychotherapy among individuals with SMI were included. From 38 potentially eligible studies, a total of 14 clinical trials across 684 individuals with comorbid SMI and PTSD were identified and included in the analysis.Data Extraction: Data on demographic, SMI diagnosis, symptom severity, sample attrition, and treatment protocol received were extracted. Effect size calculations and subsequent meta-analyses were conducted using the Meta-Analysis Package for R (metafor) version 2.1-0 in R (3.6.0).Results: PTSD treatments had a large effect on PTSD outcomes among individuals with SMI, with patients experiencing a standard deviation reduction in PTSD symptomatology pre- to post-treatment (g = -1.009, P < .001, k = 34). Prolonged exposure (g = -1.464; P < .001; SE = 0.276; k = 5), eye movement desensitization and reprocessing (g = -1.351; P < .001; SE = 0.276; k = 5), and brief treatment program (g = -1.009; P < .001; SE = 0.284; k = 5) had the largest effects on PTSD symptoms.Conclusions: Although underrepresented in the PTSD literature, PTSD psychotherapies are effective for individuals with SMI. Treatments with an exposure-based component may have greater efficacy in this clinical population.

Suicidal ideation in first-episode psychosis: Considerations for depression, positive symptoms, clinical insight, and cognition.

BACKGROUND: Suicide is a leading cause of death for individuals with psychosis. Although factors influencing suicide risk have been studied in schizophrenia, far less is known about factors that protect against or trigger increased risk during early-stage and first episode of psychosis. This study examined whether depression, psychotic symptoms, clinical insight, and cognition were associated with suicide ideation among individuals with first-episode psychosis. METHODS: Data were obtained from the Recovery After an Initial Schizophrenia Episode (RAISE) project. Participants (n = 404) included adults between ages 15 and 40 in a first episode of psychosis. Measurement included the Positive and Negative Syndrome Scale, Brief Assessment of Cognition in Schizophrenia, and Calgary Depression Scale for Schizophrenia. A logistic regression model evaluated clinical and cognitive variables as predictors of suicidal ideation. RESULTS: Greater positive symptoms (OR = 1.085, p < .01) and depression (OR = 1.258, p < .001) were associated with increased likelihood of experiencing suicidal ideation during the RAISE project. Meanwhile, stronger working memory (OR = 0.922, p < .05) and impaired clinical insight (OR = 0.734, p < .05) were associated with a decreased likelihood of experiencing suicidal ideation. CONCLUSION: The likelihood of experiencing suicidal ideation was significantly increased when positive and depressive symptoms were present, and significantly decreased when clinical insight was poorer and working memory stronger. These findings have important implications for the role of cognition and insight in risk for suicide ideation in early-stage psychosis, which may aid in improving the prediction of suicide behaviors and inform clinical decision-making over the course of the illness.

Neuroticism and Its Associated Brain Activation in Women With PTSD.

Previous research suggests a diathesis-stress model of posttraumatic stress disorder (PTSD), wherein individuals with high levels of neuroticism who are exposed to traumatic events subsequently develop PTSD. Although studies have established relationships between neuroticism and neurological functioning in various brain regions for healthy and depressed individuals, the specific neural correlates of neuroticism for individuals with PTSD are yet unknown. This relationship is particularly relevant for women, given that their increased risk for PTSD is partially accounted for by their higher baseline levels of neuroticism. The current study examined previously established neural correlates of neuroticism in 61 women (48 women with interpersonal violence [IPV]/PTSD and 13 healthy controls). A specific region of interest map, including the amygdala, hippocampus, parahippocampus, anterior cingulate cortex (ACC), and dorsal medial prefrontal cortex (dmPFC), was examined while participants completed an emotional conflict task. Results showed that the PTSD group had significantly higher neuroticism scores than the healthy control group (t = 6.90, p < .001). Higher neuroticism scores were associated with increased neural activity in the right dmPFC when participants were instructed to directly attend to faces with negative emotional valences. Significant trends between higher neuroticism scores and greater right amygdala and right ACC activation also emerged for this condition. Finally, neuroticism was found to be associated with right amygdala and right parahippocampal activity when participants were instructed to ignore faces with negative emotional valences. The results of this study lend further evidence to the proposed diathesis-stress model of neuroticism and PTSD. Moreover, findings suggest a significant association between neuroticism and neural activity in brain regions associated with fear and emotion regulation for women with IPV and subsequent PTSD.

Establishing a standard emotion processing battery for treatment evaluation in adults with autism spectrum disorder: Evidence supporting the Mayer-Salovey-Caruso Emotion Intelligence Test (MSCEIT).

Autism spectrum disorder (ASD) and schizophrenia are neurodevelopmental disorders which show markedly similar deficits in emotion processing, yet treatment evaluation in ASD and treatment comparisons across ASD and schizophrenia are constrained by a lack of empirical work validating a standard emotion processing battery across ASD and schizophrenia. Encouragingly, the Mayer-Salovey-Caruso Emotion Intelligence Test, version 2.0 (MSCEIT (Mayer et al., 2003) spans the range of emotion processing deficits in schizophrenia and ASD. This study therefore aimed to establish MSCEIT's factorial, measurement, and structural invariance in community-residing adults with schizophrenia (N = 103) and ASD (N = 113) using multigroup confirmatory factor analysis. Consistent with prior studies in normative populations, a two-factor structure comprised of emotional experiencing and emotional reasoning was supported in ASD and schizophrenia. Both groups operationalize MSCEIT measures similarly, with all measures except for Facilitation and Management showing comparability across groups. To our knowledge, this study is not only the first to establish the measurement and structural invariance of a standard emotion perception battery in adults with ASD, it is also the first to establish its comparability across ASD and schizophrenia. Ultimately, these findings underscore MSCEIT's utility for standardizing treatment evaluation of social cognitive outcomes across the autism-schizophrenia spectrum.

Validation of the MUSIC Model of Motivation Inventory for use with cognitive training for schizophrenia spectrum disorders: A multinational study.

AIM: Low motivation is a core symptom of schizophrenia which significantly impacts successful engagement in and benefit from psychosocial treatments. Therefore, it is important for clinicians to design psychosocial treatments to effectively motivate and engage patients during the treatment. The MUSIC® Model of Academic Motivation Inventory (MMI) is an 18-item instrument with five scales that assess students' motivation during academic tasks. The objective of the current study was to validate the MMI for use with schizophrenia-spectrum patients undergoing cognitive training. METHODS: Participants included 181 people with schizophrenia spectrum disorders enrolled in cognitive training in four countries. A confirmatory factor analysis (CFA) assessed construct validity. Quality of fit was determined using the Comparative Fit Index (CFI), the Standardized Root Mean Square Residual (SRMR), and the Root Mean Square Error of Approximation (RMSEA). Pearson's correlation coefficients assessed construct validity and Cronbach's alphas assessed reliability. Furthermore, we examined factor loadings for each inventory item and assessed predictive validity by analyzing MMI scales with attendance outcomes. RESULTS: Consistent with the original MMI validation studies used in academic settings, we found CFI values indicated a good fit, as did the SRMR and RMSEA values. The scales were correlated yet distinct. Cronbach's alpha values ranged from good to excellent and factor loadings showed that all items loaded very well onto their intended factors. The MMI had a positive relationship to treatment intensity. CONCLUSION: The MMI is a valid and reliable tool to use with individuals with schizophrenia spectrum disorders undergoing a cognitive training intervention.

Using Cognitive Neuroscience to Improve Mental Health Treatment: A Comprehensive Review.

Mental health interventions do not yet offer complete, client-defined functional recovery, and novel directions in treatment research are needed to improve the efficacy of available interventions. One promising direction is the integration of social work and cognitive neuroscience methods, which provides new opportunities for clinical intervention research that will guide development of more effective mental health treatments that holistically attend to the biological, social, and environmental contributors to disability and recovery. This article reviews emerging trends in cognitive neuroscience and provides examples of how these advances can be used by social workers and allied professions to improve mental health treatment. We discuss neuroplasticity, which is the dynamic and malleable nature of the brain. We also review the use of risk and resiliency biomarkers and novel treatment targets based on neuroimaging findings to prevent disability, personalize treatment, and make interventions more targeted and effective. The potential of treatment research to contribute to neuroscience discoveries regarding brain change is considered from the experimental-medicine approach adopted by the National Institute of Mental Health. Finally, we provide resources and recommendations to facilitate the integration of cognitive neuroscience into mental health research in social work.

Serum anticholinergicity is associated with reduced prefrontal brain function in early course schizophrenia.

Increased anticholinergic activity resulting from pharmacotherapies used to treat schizophrenia is associated with poorer cognition. However the neural mechanisms underlying this effect are unknown. In this study of 39 early course schizophrenia outpatients, we demonstrate that increased serum anticholinergic activity is associated with reduced activation across the prefrontal cortex, including the dorsolateral, anterior, and medial prefrontal cortices, during two tasks of cognitive control. Lower activation in the dorsolateral and anterior prefrontal cortices mediated the association between increased anticholinergicity and poorer neurocognitive function. Such findings provide preliminary insight into how anticholinergic medications may impact cognition through reduced prefrontal cortical function in schizophrenia.

A Systematic and Meta-analytic Review of Neural Correlates of Functional Outcome in Schizophrenia.

Individuals with schizophrenia are burdened with impairments in functional outcome, despite existing interventions. The lack of understanding of the neurobiological correlates supporting adaptive function in the disorder is a significant barrier to developing more effective treatments. This research conducted a systematic and meta-analytic review of all peer-reviewed studies examining brain-functional outcome relationships in schizophrenia. A total of 53 (37 structural and 16 functional) brain imaging studies examining the neural correlates of functional outcome across 1631 individuals with schizophrenia were identified from literature searches in relevant databases occurring between January, 1968 and December, 2016. Study characteristics and results representing brain-functional outcome relationships were systematically extracted, reviewed, and meta-analyzed. Results indicated that better functional outcome was associated with greater fronto-limbic and whole brain volumes, smaller ventricles, and greater activation, especially during social cognitive processing. Thematic observations revealed that the dorsolateral prefrontal cortex, anterior cingulate, posterior cingulate, parahippocampal gyrus, superior temporal sulcus, and cerebellum may have role in functioning. The neural basis of functional outcome and disability is infrequently studied in schizophrenia. While existing evidence is limited and heterogeneous, these findings suggest that the structural and functional integrity of fronto-limbic brain regions is consistently related to functional outcome in individuals with schizophrenia. Further research is needed to understand the mechanisms and directionality of these relationships, and the potential for identifying neural targets to support functional improvement.

Social-cognitive brain function and connectivity during visual perspective-taking in autism and schizophrenia.

BACKGROUND: Autism spectrum disorder (ASD) and schizophrenia are neurodevelopmental conditions that are characterized by significant social impairment. Emerging genomic and neurobiological evidence has increasingly pointed to shared pathophysiologic mechanisms in the two disorders. Overlap in social impairment may reflect similar underlying neural dysfunction in social-cognitive brain networks, yet few studies have directly compared brain function and communication between those with ASD and schizophrenia. METHODS: Outpatients with schizophrenia (n=36), ASD (n=33), and healthy volunteers (n=37) completed a visual perspective-taking task during functional neuroimaging at 3T to assess similarities and differences in fronto-temporal brain function and connectivity during social-cognitive processing. Analyses employed general linear models to examine differences in amplitude of BOLD-signal response between disorder groups, and computed functional connectivity coefficients to investigate differences in the connectivity profiles of networks implicated in social cognition. RESULTS: Despite similar behavioral impairments, participants with ASD and schizophrenia evidenced distinct neural abnormalities during perspective-taking. Functional activation results indicated reduced temporo-parietal junction and medial prefrontal activity in ASD compared to schizophrenia (all Puncor<0.002). Functional connectivity analyses further revealed significantly greater local orbitofrontal connectivity in ASD than schizophrenia (all PFDR<0.028) during perspective-taking. Differences in brain activation and connectivity were unrelated to antipsychotic medication dose. CONCLUSIONS: Autism and schizophrenia are characterized by similar social-cognitive impairments that may stem from different underlying abnormalities in the functional organization and communication of the social brain.

Affect and neural activity in women with PTSD during a task of emotional interference.

BACKGROUND: The current study sought to determine the relationship between self-reported dimensions of affect and activation in brain regions associated with emotion regulation in PTSD during a task of non-conscious emotional processing in interpersonal trauma survivors with PTSD and healthy controls. METHODS: Participants included 52 women diagnosed with PTSD and 18 female healthy controls. All participants completed a clinical assessment including the SCID, CAPS, and PANAS followed by a functional MRI assessment including a task of implicit emotional conflict. RESULTS: When PTSD participants were oriented to fearful faces, negative affect (NA) was inversely related to activation in the left amygdala and positive affect (PA) was inversely related to activation in the right amygdala. When ignoring fearful faces, NA was positively associated with activation in the right parahippocampal gyrus and PA was inversely related to activation in the left hippocampus. Similar results were observed in healthy controls regarding PA. However, NA was not significantly related to any region of interest in healthy controls. LIMITATIONS: Limitations include the homogeneity of the healthy controls with regard to racial diversity, results may only be specific to female interpersonal trauma survivors with PTSD, and neutral faces within the conflict task may be perceived as negative by clinical samples. CONCLUSIONS: Persistent, increased NA may represent a proxy for disruptions in emotional processing in interpersonal trauma survivors with PTSD. As such, clinicians may prioritize increasing emotional awareness through emotion regulation and/or distress tolerance strategies in this population.

Fronto-Limbic Brain Dysfunction during the Regulation of Emotion in Schizophrenia.

Schizophrenia is characterized by significant and widespread impairments in the regulation of emotion. Evidence is only recently emerging regarding the neural basis of these emotion regulation impairments, and few studies have focused on the regulation of emotion during effortful cognitive processing. To examine the neural correlates of deficits in effortful emotion regulation, schizophrenia outpatients (N = 20) and age- and gender-matched healthy volunteers (N = 20) completed an emotional faces n-back task to assess the voluntary attentional control subprocess of emotion regulation during functional magnetic resonance imaging. Behavioral measures of emotional intelligence and emotion perception were administered to examine brain-behavior relationships with emotion processing outcomes. Results indicated that patients with schizophrenia demonstrated significantly greater activation in the bilateral striatum, ventromedial prefrontal, and right orbitofrontal cortices during the effortful regulation of positive emotional stimuli, and reduced activity in these same regions when regulating negative emotional information. The opposite pattern of results was observed in healthy individuals. Greater fronto-striatal response to positive emotional distractors was significantly associated with deficits in facial emotion recognition. These findings indicate that abnormalities in striatal and prefrontal cortical systems may be related to deficits in the effortful emotion regulatory process of attentional control in schizophrenia, and may significantly contribute to emotion processing deficits in the disorder.