Causal pathways to social and occupational functioning in the first episode of schizophrenia: uncovering unmet treatment needs.

BACKGROUND: We aimed to identify unmet treatment needs for improving social and occupational functioning in early schizophrenia using a data-driven causal discovery analysis. METHODS: Demographic, clinical, and psychosocial measures were obtained for 276 participants from the Recovery After an Initial Schizophrenia Episode Early Treatment Program (RAISE-ETP) trial at baseline and 6-months, along with measures of social and occupational functioning from the Quality of Life Scale. The Greedy Fast Causal Inference algorithm was used to learn a partial ancestral graph modeling causal relationships across baseline variables and 6-month functioning. Effect sizes were estimated using a structural equation model. Results were validated in an independent dataset (N = 187). RESULTS: In the data-generated model, greater baseline socio-affective capacity was a cause of greater baseline motivation [Effect size (ES) = 0.77], and motivation was a cause of greater baseline social and occupational functioning (ES = 1.5 and 0.96, respectively), which in turn were causes of their own 6-month outcomes. Six-month motivation was also identified as a cause of occupational functioning (ES = 0.92). Cognitive impairment and duration of untreated psychosis were not direct causes of functioning at either timepoint. The graph for the validation dataset was less determinate, but otherwise supported the findings. CONCLUSIONS: In our data-generated model, baseline socio-affective capacity and motivation are the most direct causes of occupational and social functioning 6 months after entering treatment in early schizophrenia. These findings indicate that socio-affective abilities and motivation are specific high-impact treatment needs that must be addressed in order to promote optimal social and occupational recovery.

Auditory discrimination and frequency modulation learning in schizophrenia patients: amphetamine within-subject dose response and time course.

BACKGROUND: Auditory frequency modulation learning ('auditory learning') is a key component of targeted cognitive training (TCT) for schizophrenia. TCT can be effective in enhancing neurocognition and function in schizophrenia, but such gains require significant time and effort and elude many patients. METHODS: As a strategy to increase and/or accelerate TCT-induced clinical gains, we tested the dose- and time-course effects of the pro-attentional drug, amphetamine (AMPH; placebo, 2.5, 5 or 10 mg po; within-subject double-blind, order balanced) on auditory learning in schizophrenia patients [n = 32; M:F = 19:13; age 42.0 years (24-55)]. To understand predictors and/or mechanisms of AMPH-enhanced TCT, we also measured auditory fidelity (words-in-noise (WIN), quick speech-in-noise (QuickSIN)) and neurocognition (MATRICS comprehensive cognitive battery (MCCB)). Some measures were also acquired from age-matched healthy subjects (drug free; n = 10; M:F = 5:5). RESULTS: Patients exhibited expected deficits in neurocognition. WIN and QuickSIN performance at low signal intensities was impaired in patients with low v. high MCCB attention/vigilance (A/V) scores; these deficits were corrected by AMPH, maximally at 2.5-5 mg (d's = 0.79-1.29). AMPH also enhanced auditory learning, with maximal effects at 5 mg (d = 0.93), and comparable effects 60 and 210 min post pill. 'Pro-learning' effects of AMPH and AMPH-induced gains in auditory fidelity were most evident in patients with low MCCB A/V scores. CONCLUSIONS: These findings advance our understanding of the impact of pro-attentional interventions on auditory information processing and suggest dose- and time-course parameters for studies that assess the ability of AMPH to enhance the clinical benefits of TCT in schizophrenia patients.

Social interpretation inflexibility moderates emotional reactions to social situations in children and adolescents.

Interpretation biases and inflexibility (i.e., difficulties revising interpretations) have been linked to increased internalizing symptoms. Although adolescence is a developmental period characterized by novel social situations and increased vulnerability to internalizing disorders, no studies have examined interpretation inflexibility in adolescents. Additionally, no studies (on adolescents or adults) have examined interpretation flexibility as a protective factor against adverse outcomes of interpersonal events. Using a novel task and a 28-day diary we examined relations among interpretation bias and inflexibility, internalizing symptoms, and negative interpersonal events in a sample of children and adolescents (N = 159, ages 9-18). At baseline, negative interpretation bias was positively correlated with social anxiety symptoms, and positive interpretation bias negatively correlated with social anxiety and depressive symptoms. Inflexible positive interpretations were correlated with higher social anxiety and depressive symptoms, while inflexible negative interpretations were correlated with higher social anxiety. Finally, interpretation inflexibility moderated daily associations between negative interpersonal events and depressive symptoms in daily life, such that higher inflexibility was associated with stronger associations between interpersonal events and subsequent depressive symptoms, potentially increasing depressive symptom instability. These results suggest that interpretation biases and inflexibility may act as both risk and protective factors for adolescent anxiety and depression.

The Effects of Remote Cognitive Training Combined With a Mobile App Intervention on Psychosis: Double-Blind Randomized Controlled Trial.

BACKGROUND: Impairments in cognition and motivation are core features of psychosis and strong predictors of social and occupational functioning. Accumulating evidence indicates that cognitive deficits in psychosis can be improved by computer-based cognitive training programs; however, barriers include access and adherence to cognitive training exercises. Limited evidence-based methods have been established to enhance motivated behavior. In this study, we tested the effects of web-based targeted cognitive and social cognitive training (TCT) delivered in conjunction with an innovative digital smartphone app called Personalized Real-Time Intervention for Motivational Enhancement (PRIME). The PRIME app provides users with a motivational coach to set personalized goals and secure social networking for peer support. OBJECTIVE: This study investigated whether deficits in cognition and motivation in people with a psychosis spectrum disorder (N=100) can be successfully addressed with 30 hours of TCT+PRIME as compared with 30 hours of a computer games control condition (CG) plus PRIME (CG+PRIME). Here, we describe our study procedures, the feasibility and acceptability of the intervention, and the results on all primary outcomes. METHODS: In this double-blind randomized controlled trial, English-speaking participants completed all cognitive training, PRIME activities, and assessments remotely. Participants completed a diagnostic interview and remote cognitive, clinical, and self-report measures at baseline, posttraining, and at a 6-month follow-up. RESULTS: This study included participants from 27 states across the United States and 8 countries worldwide. The study population was 58% (58/100) female, with a mean age of 33.77 (SD 10.70) years. On average, participants completed more than half of the cognitive training regimen (mean 18.58, SD 12.47 hours of training), and logged into the PRIME app 4.71 (SD 1.58) times per week. The attrition rate of 22% (22/100) was lower than that reported in our previous studies on remote cognitive training. The total sample showed significant gains in global cognition (P=.03) and attention (P<.001). The TCT+PRIME participants showed significantly greater gains in emotion recognition (P<.001) and global cognition at the trend level (P=.09), although this was not statistically significant, relative to the CG+PRIME participants. The total sample also showed significant improvements on multiple indices of motivation (P=.02-0.05), in depression (P=.04), in positive symptoms (P=.04), and in negative symptoms at a trend level (P=.09), although this was not statistically significant. Satisfaction with the PRIME app was rated at 7.74 (SD 2.05) on a scale of 1 to 10, with higher values indicating more satisfaction. CONCLUSIONS: These results demonstrate the feasibility and acceptability of remote cognitive training combined with the PRIME app and that this intervention can improve cognition, motivation, and symptoms in individuals with psychosis. TCT+PRIME appeared more effective in improving emotion recognition and global cognition than CG+PRIME. Future analyses will test the relationship between hours of cognitive training completed; PRIME use; and changes in cognition, motivation, symptoms, and functioning. TRIAL REGISTRATION: ClinicalTrials.gov NCT02782442; https://clinicaltrials.gov/study/NCT02782442.

Biased and inflexible interpretations of ambiguous social situations: Associations with eating disorder symptoms and socioemotional functioning.

BACKGROUND: Research indicates that difficulties across multiple socioemotional functioning domains (e.g., social emotion expression/regulation, response to social elicitors of emotion) and negatively biased interpretations of ambiguous social situations may affect eating disorder symptoms. The impact of inflexible interpretations of social situations on eating disorder symptoms is less clear. The present study therefore examined relations between inflexible and biased social interpretations, socioemotional functioning, and eating disorder symptoms. METHOD: A total of 310 participants from the general population, recruited from an online crowdsourcing platform, completed measures of socioemotional functioning (e.g., rejection sensitivity, negative social exchange), eating disorder symptoms, and positive and negative interpretation bias and inflexibility on a single measurement occasion. RESULTS: Socioemotional functioning impairments (Pillai's trace = 0.11, p < .001), but not negative (ß = .07, p = .162) or positive (ß = -.01, p = .804) interpretation bias or inflexible interpretations (ß = .04, p = .446), were associated with eating disorder symptoms in multiple regression models. In network analyses controlling statistically for multiple markers of socioemotional functioning, eating disorder symptoms were directly associated with negative (but not positive) interpretation bias. Inflexible interpretations were indirectly linked to symptoms via co-dampening of positive emotions. Exploratory causal discovery analyses suggested that several socioemotional functioning variables (social anxiety, depression, negative social exchange) may cause eating disorder symptoms. CONCLUSIONS: Consistent with cognitive-interpersonal models of disordered eating, our results suggest that less accurate (biased, inflexible) interpretations of social information contribute to patterns of cognition (anxious anticipation of rejection) and emotion regulation (down-regulation of positive social emotion) thought to encourage disordered eating. PUBLIC SIGNIFICANCE: This study suggests that less accurate interpretations of ambiguous social information encourage anxious anticipation of rejection and downregulation of positive social emotions, both of which are thought to promote eating disorder symptoms. Knowledge provided by this study about the likely relations between interpretive processes, social/emotional functioning, and eating disorder symptoms may help inform treatments for eating disorders, particularly those that attempt to modify patterns of interpretation.

Testing a Novel Web-Based Neurocognitive Battery in the General Community: Validation and Usability Study.

BACKGROUND: In recent years, there has been increased interest in the development of remote psychological assessments. These platforms increase accessibility and allow clinicians to monitor important health metrics, thereby informing patient-centered treatment. OBJECTIVE: In this study, we report the properties and usability of a new web-based neurocognitive assessment battery and present a normative data set for future use. METHODS: A total of 781 participants completed a portion of 8 tasks that captured performance in auditory processing, visual-spatial working memory, visual-spatial learning, cognitive flexibility, and emotional processing. A subset of individuals (n=195) completed a 5-question survey measuring the acceptability of the tasks. RESULTS: Between 252 and 426 participants completed each task. Younger individuals outperformed their older counterparts in 6 of the 8 tasks. Therefore, central tendency data metrics were presented using 7 different age bins. The broad majority of participants found the tasks interesting and enjoyable and endorsed some interest in playing them at home. Only 1 of 195 individuals endorsed not at all for the statement, "I understood the instructions." Older individuals were less likely to understand the instructions; however, 72% (49/68) of individuals over the age of 60 years still felt that they mostly or very much understood the instructions. CONCLUSIONS: Overall, the tasks were found to be widely acceptable to the participants. The use of web-based neurocognitive tasks such as these may increase the ability to deploy precise data-informed interventions to a wider population.

Academic Psychiatry Department Names: Reflections on Research, Practice, and Education.

OBJECTIVE: Medical schools' departments reflect changes in health care and medical school organization. The authors reviewed psychiatry department name categories associated with school age, research, and primary care focus. METHODS: Department names were identified and categorized for US allopathic and osteopathic medical schools. A multinomial regression model analyzed the relationship between department name category and established year, adjusted for school type. Fisher's exact tests analyzed the relationships between name category and research/primary care foci. RESULTS: Among 147 allopathic schools, 52% had departments with names limited to psychiatry, 42% had names with psychiatry plus other terminology, and 5% had no identified psychiatry department. In 34 osteopathic schools, 12% had psychiatry departments, 12% had departments named psychiatry plus other terminology, and 75% had no identified psychiatry department. Age of school was related to departmental name: for a 1-year increase in the school's established year, the odds of having a department name other than psychiatry were 1.02 times the odds (p < 0.001) of having the name psychiatry. Newer schools were less likely to have departments with "psychiatry" in their name. Associations were found between department name and research and primary care rankings. CONCLUSIONS: Variability in the names of psychiatry departments in medical schools may suggest changing views within and about academic psychiatry. The limited presence of formal psychiatry departments in newer schools raises questions about psychiatry's impact on educational pathways, the future workforce, and participation in schools' research mission and clinical enterprise.

Battle Buddies: Rapid Deployment of a Psychological Resilience Intervention for Health Care Workers During the COVID-19 Pandemic.

The outbreak of the coronavirus disease 2019 (COVID-19) and its rapid global spread have created unprecedented challenges to health care systems. Significant and sustained efforts have focused on mobilization of personal protective equipment, intensive care beds, and medical equipment, while substantially less attention has focused on preserving the psychological health of the medical workforce tasked with addressing the challenges of the pandemic. And yet, similar to battlefield conditions, health care workers are being confronted with ongoing uncertainty about resources, capacities, and risks; as well as exposure to suffering, death, and threats to their own safety. These conditions are engendering high levels of fear and anxiety in the short term, and place individuals at risk for persistent stress exposure syndromes, subclinical mental health symptoms, and professional burnout in the long term. Given the potentially wide-ranging mental health impact of COVID-19, protecting health care workers from adverse psychological effects of the pandemic is critical. Therefore, we present an overview of the potential psychological stress responses to the COVID-19 crisis in medical providers and describe preemptive resilience-promoting strategies at the organizational and personal level. We then describe a rapidly deployable Psychological Resilience Intervention founded on a peer support model (Battle Buddies) developed by the United States Army. This intervention-the product of a multidisciplinary collaboration between the Departments of Anesthesiology and Psychiatry & Behavioral Sciences at the University of Minnesota Medical Center-also incorporates evidence-informed "stress inoculation" methods developed for managing psychological stress exposure in providers deployed to disasters. Our multilevel, resource-efficient, and scalable approach places 2 key tools directly in the hands of providers: (1) a peer support Battle Buddy; and (2) a designated mental health consultant who can facilitate training in stress inoculation methods, provide additional support, or coordinate referral for external professional consultation. In parallel, we have instituted a voluntary research data-collection component that will enable us to evaluate the intervention's effectiveness while also identifying the most salient resilience factors for future iterations. It is our hope that these elements will provide guidance to other organizations seeking to protect the well-being of their medical workforce during the pandemic. Given the remarkable adaptability of human beings, we believe that, by promoting resilience, our diverse health care workforce can emerge from this monumental challenge with new skills, closer relationships, and greater confidence in the power of community.

The feasibility, acceptability, and outcomes of PRIME-D: A novel mobile intervention treatment for depression.

BACKGROUND: Despite decades of research and development, depression has risen from the fifth to the leading cause of disability in the United States. Barriers to progress in the field are (1) poor access to high-quality care; (2) limited mental health workforce; and (3) few providers trained in the delivery of evidence-based treatments (EBTs). Although mobile platforms are being developed to give consumers greater access to high-quality care, too often these tools do not have empirical support for their effectiveness. In this study, we evaluated PRIME-D, a mobile app intervention that uses social networking, goal setting, and a mental health coach to deliver text-based, EBT's to treat mood symptoms and functioning in adults with depression. METHODS: Thirty-six adults with depression remotely participated in PRIME-D over an 8-week period with a 4-week follow-up, with 83% retained over the 12-week course of thestudy. RESULTS: On average, participants logged into the app 5 days/week. Depression scores (PHQ-9) significantly improved over time (over 50% reduction), with coach interactions enhancing these effects. Mood-related disability (Sheehan Disability Scale (SDS)) also significantly decreased over time with participants no longer being impaired by their mood symptoms. Overall use of PRIME-D predicted greater gains in functioning. Improvements in mood and functioning were sustained over the 4-week follow-up. CONCLUSIONS: Results suggest that PRIME-D is a feasible, acceptable, and effective intervention for adults with depression and that a mobile service delivery model may address the serious public health problem of poor access to high-quality mental health care.

Randomized controlled trial of computer-based treatment of social cognition in schizophrenia: the TRuSST trial protocol.

BACKGROUND: Schizophrenia is a severe and chronic medical condition, characterized by positive and negative symptoms, as well as pervasive social cognitive deficits. Despite the functional significance of the social cognition deficits affecting many aspects of daily living, such as social relationships, occupational status, and independent living, there is still no effective treatment option for these deficits, which is applied as standard of care. To address this need, we developed a novel, internet-based training program that targets social cognition deficits in schizophrenia (SocialVille). Preliminary studies demonstrate the feasibility and initial efficacy of Socialville in schizophrenia patients (Nahum et al., 2014). The purpose of the current trial (referred to as the TReatment of Social cognition in Schizophrenia Trial or TRuSST) is to compare SocialVille to an active control training condition, include a larger sample of patients, and assess both social cognitive functioning, and functional outcomes. METHODS/DESIGN: We will employ a multi-site, longitudinal, blinded, randomized controlled trial (RCT) design with a target sample of 128 patients with schizophrenia. Patients will perform, at their home or in clinic, 40 sessions of either the SocialVille training program or an active control computer game condition. Each session will last for 40-45 minutes/day, performed 3-5 days a week, over 10-12 weeks, totaling to 30 hours of training. Patients will be assessed on a battery of social cognitive, social functioning and functional outcomes immediately before training, mid-way through training (after 20 training sessions) and at the completion of the 40 training sessions. DISCUSSION: The strengths of this protocol are that it tests an innovative, internet-based treatment that targets fundamental social cognitive deficits in schizophrenia, employs a highly sensitive and extensive battery of functional outcome measures, and incorporates a large sample size in an RCT design. TRIAL REGISTRATION: ClinicalTrials.gov NCT02246426 Registered 16 September 2014.

Parsing the phonological loop: activation timing in the dorsal speech stream determines accuracy in speech reproduction.

Despite significant research and important clinical correlates, direct neural evidence for a phonological loop linking speech perception, short-term memory and production remains elusive. To investigate these processes, we acquired whole-head magnetoencephalographic (MEG) recordings from human subjects performing a variable-length syllable sequence reproduction task. The MEG sensor data were source localized using a time-frequency optimized spatially adaptive filter, and we examined the time courses of cortical oscillatory power and the correlations of oscillatory power with behavior between onset of the audio stimulus and the overt speech response. We found dissociations between time courses of behaviorally relevant activations in a network of regions falling primarily within the dorsal speech stream. In particular, verbal working memory load modulated high gamma power in both Sylvian-parietal-temporal and Broca's areas. The time courses of the correlations between high gamma power and subject performance clearly alternated between these two regions throughout the task. Our results provide the first evidence of a reverberating input-output buffer system in the dorsal stream underlying speech sensorimotor integration, consistent with recent phonological loop, competitive queuing, and speech-motor control models. These findings also shed new light on potential sources of speech dysfunction in aphasia and neuropsychiatric disorders, identifying anatomically and behaviorally dissociable activation time windows critical for successful speech reproduction.

Intensive cognitive training in schizophrenia enhances working memory and associated prefrontal cortical efficiency in a manner that drives long-term functional gains.

We investigated whether intensive computerized cognitive training in schizophrenia could improve working memory performance and increase signal efficiency of associated middle frontal gyri (MFG) circuits in a functionally meaningful manner. Thirty schizophrenia participants and 13 healthy comparison participants underwent fMRI scanning during a letter N-back working memory task. Schizophrenia participants were then randomly assigned to either 80 h (16 weeks) of cognitive training or a computer games control condition. After this intervention, participants completed a second fMRI N-back scanning session. At baseline, during 2-back working memory trials, healthy participants showed the largest and most significant activation in bilateral MFG, which correlated with task performance. Schizophrenia participants showed impaired working memory, hypoactivation in left MFG, and no correlation between bilateral MFG signal and task performance. After training, schizophrenia participants improved their 2-back working memory performance and showed increased activation in left MFG. They also demonstrated a significant association between enhanced task performance and right MFG signal, similar to healthy participants. Both task performance and brain activity in right MFG after training predicted better generalized working memory at 6-month follow-up. Furthermore, task performance and brain activity within bilateral MFG predicted better occupational functioning at 6-month follow-up. No such findings were observed in the computer games control participants. Working memory impairments in schizophrenia and its underlying neural correlates in MFG can be improved by intensive computerized cognitive training; these improvements generalize beyond the trained task and are associated with enduring effects on cognition and functioning 6 months after the intervention.

Cognitive-behavioral therapy in depressed primary care patients with co-occurring problematic alcohol use: effect of telephone-administered vs. face-to-face treatment-a secondary analysis.

This secondary analysis of a larger study compared adherence to telephone-administered cognitive-behavioral therapy (T-CBT) vs. face-to-face CBT and depression outcomes in depressed primary care patients with co-occurring problematic alcohol use. To our knowledge, T-CBT has never been directly compared to face-to-face CBT in such a sample of primary care patients. Participants were randomized in a 1:1 ratio to face-to-face CBT or T-CBT for depression. Participants receiving T-CBT (n = 50) and face-to-face CBT (n = 53) were compared at baseline, end of treatment (week 18), and three-month and six-month follow-ups. Face-to-face CBT and T-CBT groups did not significantly differ in age, sex, ethnicity, marital status, educational level, severity of depression, antidepressant use, and total score on the Alcohol Use Disorders Identification Test. Face-to-face CBT and T-CBT groups were similar on all treatment adherence outcomes and depression outcomes at all time points. T-CBT and face-to-face CBT had similar treatment adherence and efficacy for the treatment of depression in depressed primary care patients with co-occurring problematic alcohol use. When targeting patients who might have difficulties in accessing care, primary care clinicians may consider both types of CBT delivery when treating depression in patients with co-occurring problematic alcohol use.

Characterizing runs of homozygosity and their impact on risk for psychosis in a population isolate.

An increased abundance of runs of homozygosity (ROH) has been associated with risk for various diseases, including schizophrenia. Here we investigate the characteristics of ROH in Palau, an Oceanic population, evaluating whether these characteristics are related to risk for psychotic disorders and the nature of this association. To accomplish these aims we evaluate a sample of 203 cases with schizophrenia and related psychotic disorders-representing almost complete ascertainment of affected individuals in the population-and contrast their ROH to that of 125 subjects chosen to function as controls. While Palauan diagnosed with psychotic disorders tend to have slightly more ROH regions than controls, the distinguishing features are that they have longer ROH regions, greater total length of ROH, and their ROH tends to co-occur more often at the same locus. The nature of the sample allows us to investigate whether rare, highly penetrant recessive variants generate such case-control differences in ROH. Neither rare, highly penetrant recessive variants nor individual common variants of large effect account for a substantial proportion of risk for psychosis in Palau. These results suggest a more nuanced model for risk is required to explain patterns of ROH for this population.

Personalized Cognitive Health in Psychiatry: Current State and the Promise of Computational Methods.

BACKGROUND: Decades of research have firmly established that cognitive health and cognitive treatment services are a key need for people living with psychosis. However, many current clinical programs do not address this need, despite the essential role that an individual's cognitive and social cognitive capacities play in determining their real-world functioning. Preliminary practice-based research in the Early Psychosis Intervention Network early psychosis intervention network shows that it is possible to develop and implement tools that delineate an individuals' cognitive health profile and that help engage the client and the clinician in shared decision-making and treatment planning that includes cognitive treatments. These findings signify a promising shift toward personalized cognitive health. STUDY DESIGN: Extending upon this early progress, we review the concept of interindividual variability in cognitive domains/processes in psychosis as the basis for offering personalized treatment plans. We present evidence from studies that have used traditional neuropsychological measures as well as findings from emerging computational studies that leverage trial-by-trial behavior data to illuminate the different latent strategies that individuals employ. STUDY RESULT: We posit that these computational techniques, when combined with traditional cognitive assessments, can enrich our understanding of individual differences in treatment needs, which in turn can guide evermore personalized interventions. CONCLUSION: As we find clinically relevant ways to decompose maladaptive behaviors into separate latent cognitive elements captured by model parameters, the ultimate goal is to develop and implement approaches that empower clients and their clinical providers to leverage individual's existing learning capacities to improve their cognitive health and well-being.

Adjustment of Regional Cortical Thickness Measures for Global Cortical Thickness Obscures Deficits Across the Schizophrenia Spectrum: A Cautionary Note about Normative Modeling of Brain Imaging Data.

Recent neuroimaging studies and publicly-disseminated analytic tools advocate that regional morphometric analyses covary for global thickness. We empirically demonstrate that this statistical approach severely underestimates regional thickness dysmorphology in psychiatric disorders. Study 1 included 90 healthy controls, 51 clinical high-risk for psychosis, and 78 early illness schizophrenia participants. Study 2 included 56 healthy controls, 83 non-affective psychosis, and 30 affective psychosis participants. We examined global and regional thickness correlations, global thickness group differences, and regional thickness group differences with/without global thickness covariation. Global and regional thickness were strongly correlated across groups. Global thickness was lower in schizophrenia-spectrum groups versus other groups. Regional thickness deficits in schizophrenia-spectrum groups were attenuated/eliminated with global thickness covariation. Depriving regional thickness of its shared variance with global thickness removes disease-related effects. This statistical method results in erroneous conclusions that regional thickness is normal in disorders like schizophrenia or clinical high-risk syndrome.

Putting measurement-based care into action: A mixed methods study of the benefits of integrating routine client feedback in coordinated specialty care programs for early psychosis.

Background: Measurement-based care (MBC) is an effective tool in the delivery of evidence-based practices (EBPs). MBC utilizes feedback loops to share information and drive changes throughout a learning healthcare system. Few studies have demonstrated this practice in team-based care for people with early psychosis. This paper describes the development of a personalized feedback report derived from routine assessments that is shared with clients and clinicians as part of a MBC process. Methods: We used a quasi pre-post comparison design with mixed methods to evaluate the implementation of a personalized feedback report at 5 early psychosis coordinated specialty care programs (CSC). We compared clients enrolled in CSC who did and did not receive a feedback report over the first 6 months of treatment. The sample included 204 clients: 146 who did not receive the feedback report and were enrolled over 2 years, and 58 who received the feedback report. A subset of 67 clients completed measures at both intake and 6-month follow-up, including 42 who received the report and 25 who did not. We compared the two groups with regard to self-reported symptoms, likelihood of completing treatment, and perception of shared decision making. We conducted qualitative interviews with 5 clients and 5 clinicians to identify the benefits and challenges associated with the personalized feedback report. Results: People who received a personalized feedback report reported significant improvements in shared decision-making and had greater improvements over time in their intent to attend future treatment sessions. They engaged in more sessions for Supported Employment and Education (SEE), case management, and peer support, and fewer medication visits over the first 6 months of treatment. Both groups showed significant improvement in symptoms and functioning. Results from the qualitative analysis indicated that the experience of receiving the reports was valuable and validating for both patients and clinicians. Conclusions: A personalized feedback report was integrated into standard of care for early psychosis programs. This process may improve shared decision-making, strengthen the likelihood to stay in treatment, and increase engagement in psychosocial interventions. We posit that this process facilitates strengths-focused discussions, enhances intrinsic motivation, and strengthens the therapeutic alliance.

Trajectories and predictors of response to social cognition training in people with schizophrenia: A proof-of-concept machine learning study.

BACKGROUND: Social cognition training (SCT) can improve social cognition deficits in schizophrenia. However, little is known about patterns of response to SCT or individual characteristics that predict response. METHODS: 76 adults with schizophrenia randomized to receive 8-12 weeks of remotely-delivered SCT were included in this analysis. Social cognition was measured with a composite of six assessments. Latent class growth analyses identified trajectories of social cognitive response to SCT. Random forest and logistic regression models were trained to predict membership in the trajectory group that showed improvement from baseline measures including symptoms, functioning, motivation, and cognition. RESULTS: Five trajectory groups were identified: Group 1 (29 %) began with slightly above average social cognition, and this ability significantly improved with SCT. Group 2 (9 %) had baseline social cognition approximately one standard deviation above the sample mean and did not improve with training. Groups 3 (18 %) and 4 (36 %) began with average to slightly below-average social cognition and showed non-significant trends toward improvement. Group 5 (8 %) began with social cognition approximately one standard deviation below the sample mean, and experienced significant deterioration in social cognition. The random forest model had the best performance, predicting Group 1 membership with an area under the curve of 0.73 (SD 0.24; 95 % CI [0.51-0.87]). CONCLUSIONS: Findings suggest that there are distinct patterns of response to SCT in schizophrenia and that those with slightly above average social cognition at baseline may be most likely to experience gains. Results may inform future research seeking to individualize SCT treatment for schizophrenia.

Brain Age Gap in Early Illness Schizophrenia and the Clinical High-Risk Syndrome: Associations With Experiential Negative Symptoms and Conversion to Psychosis.

BACKGROUND AND HYPOTHESIS: Brain development/aging is not uniform across individuals,spawning efforts to characterize brain age from a biological perspective to model the effects of disease and maladaptive life processes on the brain. The brain age gap represents the discrepancy between estimated brain biological age and chronological age (in this case, based on structural magnetic resonance imaging, MRI). Structural MRI studies report an increased brain age gap (biological age > chronological age) in schizophrenia, with a greater brain age gap related to greater negative symptom severity. Less is known regarding the nature of this gap early in schizophrenia (ESZ), if this gap represents a psychosis conversion biomarker in clinical high-risk (CHR-P) individuals, and how altered brain development and/or agingmap onto specific symptom facets. STUDY DESIGN: Using structural MRI, we compared the brain age gap among CHR-P (n = 51), ESZ (n = 78), and unaffected comparison participants (UCP; n = 90), and examined associations with CHR-P psychosis conversion (CHR-P converters n = 10; CHR-P non-converters; n = 23) and positive and negative symptoms. STUDY RESULTS: ESZ showed a greater brain age gap relative to UCP and CHR-P (Ps < .010). CHR-P individuals who converted to psychosis showed a greater brain age gap (P = .043) relative to CHR-P non-converters. A larger brain age gap in ESZ was associated with increased experiential (P = .008), but not expressive negative symptom severity. CONCLUSIONS: Consistent with schizophrenia pathophysiological models positing abnormal brain maturation, results suggest abnormal brain development is present early in psychosis. An increased brain age gap may be especially relevant to motivational and functional deficits in schizophrenia.