Risk for psychiatric and substance use disorders as a function of transitions in Sweden's public educational system: a national study.

BACKGROUND: To clarify, in a national sample, associations between risk for seven psychiatric and substance use disorders and five key transitions in Sweden's public educational system. METHODS: Swedish-born individuals (1972-1995, N = 1 997 910) were followed through 12-31-2018, at mean age 34.9. We predicted, from these educational transitions, risk for major depression (MD), obsessive-compulsive disorder (OCD), bipolar disorder (BD), schizophrenia (SZ), anorexia nervosa (AN), alcohol use disorder (AUD), and drug use disorder (DUD), assessed from Swedish national registers, by Cox regression, censoring individuals with onsets ⩽17. We also predicted risk from the deviation of grades from family-genetic expectations (deviation 1) and from changes in grades from ages 16 to 19 (deviation 2). RESULTS: We observed four major risk patterns across transitions in our disorders: (i) MD and BD, (ii) OCD and SZ, (iii) AUD and DUD, and (iv) AN. Failing early educational transitions had the greatest impact on risk for OCD and SZ while for other disorders, not progressing from basic to upper high school had the largest effect. Completing vocational v. college-prep upper high school was strongly associated with risk for AUD and DUD, had little relation with MD, OCD, BD, and SZ risk, and was protective for AN. Deviation 1 predicted risk most strongly for SZ, AN, and MD. Deviation 2 predicted risk most strongly for SZ, AUD, and DUD. CONCLUSIONS: The pattern of educational transitions and within family and within person development deviations are strongly and relatively specifically associated with future risk for seven psychiatric and substance-use disorders.

Cognitive impairment in schizophrenia: aetiology, pathophysiology, and treatment.

Cognitive deficits are a core feature of schizophrenia, account for much of the impaired functioning associated with the disorder and are not responsive to existing treatments. In this review, we first describe the clinical presentation and natural history of these deficits. We then consider aetiological factors, highlighting how a range of similar genetic and environmental factors are associated with both cognitive function and schizophrenia. We then review the pathophysiological mechanisms thought to underlie cognitive symptoms, including the role of dopamine, cholinergic signalling and the balance between GABAergic interneurons and glutamatergic pyramidal cells. Finally, we review the clinical management of cognitive impairments and candidate novel treatments.

Large-Scale Network Topology Reveals Heterogeneity in Individuals With at Risk Mental State for Psychosis: Findings From the Longitudinal Youth-at-Risk Study.

Emerging evidence demonstrates heterogeneity in clinical outcomes of prodromal psychosis that only a small percentage of at-risk individuals eventually progress to full-blown psychosis. To examine the neurobiological underpinnings of this heterogeneity from a network perspective, we tested whether the early patterns of large-scale brain network topology were associated with risk of developing clinical psychosis. Task-free functional MRI data were acquired from subjects with At Risk Mental State (ARMS) for psychosis and healthy controls (HC). All individuals had no history of drug abuse and were not on antipsychotics. We performed functional connectomics analysis to identify patterns of system-level functional brain dysconnectivity associated with ARMS individuals with different outcomes. In comparison to HC and ARMS who did not transition to psychosis at follow-up (ARMS-NT), ARMS individuals who did (ARMS-T) showed marked brain functional dysconnectivity, characterized by loss of network segregation and disruption of network communities, especially the salience, default, dorsal attention, sensorimotor and limbic networks (P < 0.05 FWE-corrected, Cohen's d > 1.00), and was associated with baseline symptom severity. In contrast, we did not observe connectivity differences between ARMS-NT and HC individuals. Taken together, these results suggest a possible large-scale functional brain network topology phenotype related to risk of psychosis transition in ARMS individuals.

A Subgroup Analysis of the Impact of Vortioxetine on Functional Capacity, as Measured by UPSA, in Patients with Major Depressive Disorder and Subjective Cognitive Dysfunction.

Background: We evaluated vortioxetine's effects on functional capacity in demographic and clinical subgroups of patients with major depressive disorder. Methods: This was an exploratory analysis of the CONNECT study (NCT01564862) that evaluated changes in functional capacity using University of California San Diego Performance-based Skills Assessment data, categorized by sex, age, education, employment status, and baseline disease severity (Montgomery-Åsberg Depression Rating Scale, Clinical Global Impressions-Severity of Illness). Results: Greater changes in University of California San Diego Performance-based Skills Assessment composite scores were observed with vortioxetine vs placebo in specific subgroups: males (∆+3.2), females (∆+2.9), 45-54 or ≥55 years (∆+5.6, ∆+3.4), working (∆+2.8), high school or greater education (∆+2.7, ∆+2.8), disease severity (Montgomery-Åsberg Depression Rating Scale, <30, ∆+3.5; ≥30, ∆+2.5; Clinical Global Impressions-Severity of Illness ≤4, ∆+2.8; >4, ∆+3.0), major depressive episodes (≤2, >2 [∆+2.7,+3.3]), and episode duration (≤22, >22 weeks [∆+3.7,+2.4]). Conclusions: Our findings support the need for additional studies to assess whether vortioxetine improves functional capacity within specific patient subgroups. Clinical Trial Registry: clinicaltrials.gov: NCT01564862.

What is the overlap between subjective and objective cognitive impairments in MDD?

BACKGROUND: Cognitive impairments, such as memory deficits and executive impairment, are common among patients with major depressive disorder (MDD) and can be captured with objective or subjective assessments. The aim of this post-hoc analysis of the CONNECT study was to assess the degree of overlap between subjective and objective cognitive impairment among MDD patients, and to evaluate associated clinical characteristics. METHODS: The study was conducted from April 2012 to February 2014 and enrolled a total of 602 patients with MDD who reported subjective cognitive impairment. Efficacy was assessed using a battery of objective tests of cognitive function representing multiple domains: Digit Symbol Substitution Test performance, Trail Making Test A, Trail Making Test B, Congruent and Incongruent Stroop Test, Groton Maze Learning Test, Detection Task, Identification Task, and One-Back Task. The Cognitive and Physical Functioning Questionnaire (CPFQ) was used to capture patient-reported assessments of cognitive function. RESULTS: Although 48% of patients with MDD met our conservative criteria for subjectively defined marked cognitive impairment, 64% of patients with MDD met our conservative criteria for objectively defined cognitive impairment. Therefore, the proportion of patients defined as having impaired cognition was somewhat similar regardless of methodology. Overall, 80% of patients with MDD in this study reported either subjective or objective cognitive impairment per subjective and objective scales. However, the proportion of patients meeting criteria for both subjectively and objectively defined cognitive impairment was only 31%. This could be explained by the fact that the CPFQ total score was only modestly-although significantly-correlated with all but one of the objective tests. CONCLUSIONS: This post-hoc study shows that approximately 80% of patients with MDD participating in an antidepressant trial reported either subjective or objective cognitive impairment.

The Impact of Medication Anticholinergic Burden on Cognitive Performance in People With Schizophrenia.

BACKGROUND: Cognitive deficits are prevalent in people with schizophrenia and associated with functional impairments. In addition to antipsychotics, pharmacotherapy in schizophrenia often includes other psychotropics, and some of these agents possess anticholinergic properties, which may impair cognition. The objective of this study was to explore the association between medication anticholinergic burden and cognition in schizophrenia. METHODS: Seven hundred five individuals with schizophrenia completed a neuropsychological battery comprising Judgment of Line Orientation Test, Wechsler Abbreviated Scale of Intelligence Matrix Reasoning, Continuous Performance Test-Identical Pairs Version, and the Brief Assessment of Cognition in Schizophrenia. Cognitive g and 3 cognitive factor scores that include executive function, memory/fluency, and speed of processing/vigilance, which were derived from a previously published analysis, were entered as cognitive variables. Anticholinergic burden was computed using 2 anticholinergic scales: Anticholinergic Burden Scale and Anticholinergic Drug Scale. Duration and severity of illness, antipsychotic dose, smoking status, age, and sex were included as covariates. RESULTS: Anticholinergic burden was associated with poorer cognitive performance in cognitive g, all 3 cognitive domains and most cognitive tasks in multivariate analyses. The associations were statistically significant, but the effect sizes were small (for Anticholinergic Burden Scale, Cohen f = 0.008; for Anticholinergic Drug Scale, Cohen f = 0.017). CONCLUSIONS: Although our results showed a statistically significant association between medications with anticholinergic properties and cognition in people with schizophrenia, the impact is of doubtful or minimal clinical significance.

Adjunctive Minocycline in Clozapine-Treated Schizophrenia Patients With Persistent Symptoms.

OBJECTIVE: Clozapine is the most effective antipsychotic for treatment refractory people with schizophrenia, yet many patients only partially respond. Accumulating preclinical and clinical data suggest benefits with minocycline. We tested adjunct minocycline to clozapine in a 10-week, double-blind, placebo-controlled trial. Primary outcomes tested were positive, and cognitive symptoms, while avolition, anxiety/depression, and negative symptoms were secondary outcomes. METHODS: Schizophrenia and schizoaffective participants (n = 52) with persistent positive symptoms were randomized to receive adjunct minocycline (100 mg oral capsule twice daily; n = 29) or placebo (n = 23). RESULTS: Brief Psychiatric Rating Scale (BPRS) psychosis factor (P = 0.098; effect size [ES], 0.39) and BPRS total score (P = 0.075; ES, 0.55) were not significant. A change in total BPRS symptoms of more than or equal to 30% was observed in 7 (25%) of 28 among minocycline and 1 (4%) of 23 among placebo participants, respectively (P = 0.044). Global cognitive function (MATRICS Consensus Cognitive Battery) did not differ, although there was a significant variation in size of treatment effects among cognitive domains (P = 0.03), with significant improvement in working memory favoring minocycline (P = 0.023; ES, 0.41). The Scale for the Assessment of Negative Symptoms total score did not differ, but significant improvement in avolition with minocycline was noted (P = 0.012; ES, 0.34). Significant improvement in the BPRS anxiety/depression factor was observed with minocycline (P = 0.028; ES, 0.49). Minocycline was well tolerated with significantly fewer headaches and constipation compared with placebo. CONCLUSIONS: Minocycline's effect on the MATRICS Consensus Cognitive Battery composite score and positive symptoms were not statistically significant. Significant improvements with minocycline were seen in working memory, avolition, and anxiety/depressive symptoms in a chronic population with persistent symptoms. Larger studies are needed to validate these findings.

Methods for delivering and evaluating the efficacy of cognitive enhancement.

Cognitive deficits are related to impaired everyday functioning in multiple conditions and in healthy individuals. Treatment of cognitive functioning can be facilitated through either pharmacological or remediation strategies. The critical goals of cognitive enhancement are to improve everyday functioning in multiple domains. This chapter describes the strategies that are most desirable for the treatment of cognitive impairments and detection of potential benefits of treatment in cognitive and functional domains. These strategies include the use of performance-based assessments of cognition and functioning and the appropriate use of observational strategies to detect changes. Finally, we define several outcome-related goals and discuss the practicality of their measurement.

Observable Social Cognition--A Rating Scale: an interview-based assessment for schizophrenia.

INTRODUCTION: Individuals with schizophrenia consistently show impairments in social cognition (SC). SC has become a potential treatment target due to its association with functional outcomes. An alternative method of assessment is to administer an observer-based scale incorporating an informant's "first hand" impressions in ratings. METHODS: The present study used the Observable Social Cognition: A Rating Scale (OSCARS) in 62 outpatients and 50 non-psychiatric controls (NPCs) to assess performance in domains of SC (e.g. emotion perception, theory of mind). RESULTS: The OSCARS demonstrated sufficient internal consistency and test-retest reliability. Construct validity was assessed through an exploratory factor analysis. Patient OSCARS indices were not significantly correlated with measures of SC with the exception of aggressive attributional style. Individuals with less impairment in SC reacted more aggressively to ambiguous situations. NPC OSCARS were significantly correlated with measures of theory of mind and attributional style. In a combined sample of patients and controls, six of eight items were significantly correlated with the SC task assessing the same domain, providing modest evidence of convergent validity. In patients, the OSCARS was significantly correlated with measures of functional outcome and neurocognition. Last, the OSCARS was found to be significantly associated with functional outcome after the influence of objective measures of SC was statistically removed. CONCLUSIONS: The present study provides preliminary evidence that the OSCARS may be useful for clinicians in collecting data about patients' potential real-world SC deficits, in turn increasing the degree to which these impairments may be targeted in treatment.

Persistent cannabis users show neuropsychological decline from childhood to midlife.

Recent reports show that fewer adolescents believe that regular cannabis use is harmful to health. Concomitantly, adolescents are initiating cannabis use at younger ages, and more adolescents are using cannabis on a daily basis. The purpose of the present study was to test the association between persistent cannabis use and neuropsychological decline and determine whether decline is concentrated among adolescent-onset cannabis users. Participants were members of the Dunedin Study, a prospective study of a birth cohort of 1,037 individuals followed from birth (1972/1973) to age 38 y. Cannabis use was ascertained in interviews at ages 18, 21, 26, 32, and 38 y. Neuropsychological testing was conducted at age 13 y, before initiation of cannabis use, and again at age 38 y, after a pattern of persistent cannabis use had developed. Persistent cannabis use was associated with neuropsychological decline broadly across domains of functioning, even after controlling for years of education. Informants also reported noticing more cognitive problems for persistent cannabis users. Impairment was concentrated among adolescent-onset cannabis users, with more persistent use associated with greater decline. Further, cessation of cannabis use did not fully restore neuropsychological functioning among adolescent-onset cannabis users. Findings are suggestive of a neurotoxic effect of cannabis on the adolescent brain and highlight the importance of prevention and policy efforts targeting adolescents.

Validation of the Persian version of the brief assessment of cognition in schizophrenia in patients with schizophrenia and healthy controls.

AIMS: The Brief Assessment of Cognition in Schizophrenia (BACS) is designed for assessment of cognitive function in patients with schizophrenia. Versions of the BACS in English and other languages have been shown to be as sensitive to cognitive dysfunction as a standard test battery, with the advantage of brief administration and scoring time. The present study aimed to test the concurrent validity of the Persian version of the BACS (Persian-BACS). METHODS: A group of 50 patients with schizophrenia-spectrum disorders and a group of 50 healthy controls received the Persian-BACS in a first session, and in a second session a standard neurocognitive battery. RESULTS: Cronbach's alpha for the Persian-BACS was 0.74. All the Persian-BACS subscales were significantly correlated with the corresponding standard neurocognitive subscales and the Pearson correlation of the composite scores from the two instruments was 0.71. Moreover, a one-factor solution was found that accounted for 67.9% of the variance. Finally, the Persian-BACS demonstrated high ability to discriminate patients with schizophrenia from healthy controls. CONCLUSION: Good psychometric properties of the Persian-BACS suggest that it is a useful tool for assessing cognition in schizophrenic patients with Persian as their primary language.

Current and Emerging Technologies to Address the Placebo Response Challenge in CNS Clinical Trials: Promise, Pitfalls, and Pathways Forward.

Excessive placebo response rates have long been a major challenge for central nervous system (CNS) drug discovery. As CNS trials progressively shift toward digitalization, decentralization, and novel remote assessment approaches, questions are emerging about whether innovative technologies can help mitigate the placebo response. This article begins with a conceptual framework for understanding placebo response. We then critically evaluate the potential of a range of innovative technologies and associated research designs that might help mitigate the placebo response and enhance detection of treatment signals. These include technologies developed to directly address placebo response; technology-based approaches focused on recruitment, retention, and data collection with potential relevance to placebo response; and novel remote digital phenotyping technologies. Finally, we describe key scientific and regulatory considerations when evaluating and selecting innovative strategies to mitigate placebo response. While a range of technological innovations shows potential for helping to address the placebo response in CNS trials, much work remains to carefully evaluate their risks and benefits.

How specific are negative symptoms and cognitive impairment in schizophrenia? An analysis of PANSS and SCoRS.

INTRODUCTION: Interview-based scales can be used as coprimary measures to complement the assessment of cognitive impairment in schizophrenia. One major question that arises from the use of such tools is how specific they are in relation to other psychopathological domains. We analyse the specificity of the Positive and Negative Syndrome Scale (PANSS) negative subscale and the Schizophrenia Cognition Rating Scale (SCoRS). METHODS: We performed a principal component analysis (PCA) of PANSS negative subscale, rated by the interviewer, and SCoRS ratings from three different sources (patient, informant, and interviewer) in 101 patients with schizophrenia. Additionally, we correlated mean SCoRS ratings to PANSS negative subscale items to determine whether any PANSS item is particularly related to cognition. RESULTS: The PCA showed that the two first components, which explained approximately 40% of the total variance of the scales, represent the SCoRS ratings and the PANSS negative subscale ratings, respectively. The mean interviewer SCoRS was significantly correlated with the PANSS negative Item 5 (difficulty in abstract thinking) and with the mean PANSS negative subscale. The latter correlation was no longer significant when "difficulty in abstract thinking" was eliminated from PANSS negative subscale. CONCLUSIONS: In general, SCoRS and PANSS negative subscale scores address different constructs; however, the PANSS negative item "difficulty in abstract thinking" seems to address a cognitive dimension.

Impact of Cognitive Impairments on Health-Related Quality of Life in Schizophrenia.

The impact of cognitive impairments on the health-related quality of life (HRQoL) in individuals with schizophrenia is unclear. The aim of this study was to examine the association between cognitive impairments and HRQoL in individuals with schizophrenia. A total of 609 individuals with schizophrenia were assessed on the Positive and Negative Syndrome Scale (PANSS) and a neurocognitive battery which comprised of the Wechsler Abbreviated Scale of Intelligence matrix reasoning, the Benton Judgment of Line Orientation Test, Continuous Performance Tests-Identical Pairs, and the Brief Assessment of Cognition in Schizophrenia. A cognitive factor g was derived from the neurocognitive battery. EuroQol five-dimensional (EQ-5D-5L) utility scores were derived from PANSS scores via a previously validated algorithm and used as a measure of HRQoL. Hierarchical multiple regression was conducted to examine the association between cognitive factor g and the EQ-5D-5L. Cognitive factor g (ß = 0.189, t = 4.956, p < 0.001) was found to be significantly associated with EQ-5D-5L scores. Age (ß = -0.258, t = -6.776, p < 0.001), sex (ß = 0.081, t = 2.117, p = 0.035), and being employed (ß = 0.091, t = 2.317, p = 0.021) were also significant predictors of EQ-5D-5L. Our results add to the extant literature on the burden cognitive impairments exact in individuals with schizophrenia. More research is needed to develop effective interventions for cognitive impairments in schizophrenia.

Qualitative Analysis of the Content Validity of the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) in Schizophrenia: A Multi-Stakeholder Perspective.

The US Food and Drug Agency (FDA) requires clinical trials targeting cognitive impairment associated with schizophrenia (CIAS) to demonstrate the functional relevance of cognitive improvements by employing a functional co-primary measure. Although quantitative evidence supports the suitability of the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) for this purpose, FDA guidelines for qualification of clinical outcome assessments require evidence of content validity, defined as qualitative evidence that key stakeholders view the measure as relevant and important. To collect this important qualitative data, semi-structured interviews were conducted with outpatients with schizophrenia (n = 24), caregivers (n = 12), and professional peer support specialists (n = 12) to elicit their views about the definition and importance of functional independence, the importance of the functional domains assessed by the VRFCAT (meal planning, using transportation, handling money, shopping), and the relevance of the VRFCAT tasks to these domains. Qualitative thematic analyses revealed consistent themes across groups in defining functional independence, including performing instrumental self-care, financial, and social tasks; making decisions autonomously; and not depending on others to carry out daily activities. There were, however, notable differences in their views regarding the importance of and barriers to functional independence. All groups viewed the VRFCAT as assessing skill domains that are central to independent functioning and, with some minor differences, the VRFCAT tasks were viewed as relevant and meaningful examples of the domains. These qualitative results provide converging evidence that key stakeholders view the VRFCAT as a content-valid measure.

Antipsychotic drugs and their effects on cognitive function: protocol for a systematic review, pairwise, and network meta-analysis.

BACKGROUND: There is evidence that antipsychotic drugs differ in their effect on the cognitive symptoms of schizophrenia. So far, there is no comprehensive systematic review available that would enable providers and patients to make informed choices regarding this important aspect of treatment. With a large number of substances available, conventional pairwise meta-analyses will not be sufficient to inform this choice. To fill this gap, we will conduct a network meta-analysis (NMA), integrating direct and indirect comparisons from randomized controlled trials (RCTs) to rank antipsychotics according to their effect on cognitive functioning. METHODS: In our NMA, we will include RCTs in patients with schizophrenia or schizophrenia-like psychoses comparing one antipsychotic agent with another antipsychotic agent or placebo that measures cognitive function. We will include studies on patients of every age group, in any phase of illness (e.g., acute or stable, first episode or chronic schizophrenia, in- or outpatients) with an intervention time of at least 3 weeks. The primary outcome will be the composite score of cognitive functioning, preferentially measured with the test battery developed by the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative. The secondary outcomes include the seven cognitive domains that the composite score is composed of, as well as functioning and quality of life. Study selection and data extraction will be conducted by at least two independent reviewers. We will use the Cochrane Risk of Bias tool 2 to determine the risk of bias in studies, and we will evaluate the confidence in the results using Confidence in Network Meta-Analysis (CINeMA). We will perform NMA using R (package netmeta). We will conduct subgroup and sensitivity analyses to explore the heterogeneity and assess the robustness of our findings. DISCUSSION: This systematic review and network meta-analysis aims to inform evidence-based antipsychotic treatment choice for cognitive deficits in schizophrenia patients by analyzing existing RCTs on this subject. The results have the potential to support patients' and physicians' decision-making processes based on the latest available evidence. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42022312483.

Innovative Technologies in CNS Trials: Promises and Pitfalls for Recruitment, Retention, and Representativeness.

Objective: Recruitment of a sufficiently large and representative patient sample and its retention during central nervous system (CNS) trials presents major challenges for study sponsors. Technological advances are reshaping clinical trial operations to meet these challenges, and the COVID-19 pandemic further accelerated this development. Method of Research: The International Society for CNS Clinical Trials and Methodology (ISCTM; www.isctm.org) Innovative Technologies for CNS Trials Working Group surveyed the state of technological innovations for improved recruitment and retention and assessed their promises and pitfalls. Results: Online advertisement and electronic patient registries can enhance recruitment, but challenges with sample representativeness, conversion rates from eligible prescreening to enrolled patients, data privacy and security, and patient identification remain hurdles for optimal use of these technologies. Electronic medical records (EMR) mining with artificial intelligence (AI)/machine learning (ML) methods is promising but awaits translation into trials. During the study treatment phase, technological innovations increasingly support participant retention, including adherence with the investigational treatment. Digital tools for adherence and retention support take many forms, including patient-centric communication channels between researchers and participants, real-time study reminders, and digital behavioral interventions to increase study compliance. However, such tools add technical complexities to trials, and their impact on the generalizability of results are largely unknown. Conclusion: Overall, the group found a scarcity of systematic data directly assessing the impact of technological innovations on study recruitment and retention in CNS trials, even for strategies with already high adoption, such as online recruitment. Given the added complexity and costs associated with most technological innovations, such data is needed to fully harness technologies for CNS trials and drive further adoption.

Using latent profile analyses to classify subjects with anhedonia based on reward-related measures obtained in the FAST-MAS study.

BACKGROUND: Growing evidence indicates that anhedonia is a multifaceted construct. This study examined the possibility of identifying subgroups of people with anhedonia using multiple reward-related measures to provide greater understanding the Research Domain Criteria's Positive Valence Systems Domain and pathways for developing treatments. METHODS: Latent profile analysis of baseline data from a study that examined the effects of a novel kappa opioid receptor (KOR) antagonist drug on measures and biomarkers associated with anhedonia was used to identify subgroups. Measures included ventral striatal activation during the Monetary Incentive Delay task, response bias in the Probabilistic Reward Task, reward valuation scores from the Effort-Expenditure for Rewards Task, and scores from reward-related self-report measures. RESULTS: Two subgroups were identified, which differed on self-report measures of reward. Participants in the subgroup reporting more anhedonia also reported more depression and had greater illness severity and functional impairments. Graphs of change with treatment showed a trend for the less severe subgroup to demonstrate higher response to KOR antagonist treatment on the neuroimaging measure, probabilistic reward task, and ratings of functioning; the subgroup with greater severity showed a trend for higher treatment response on reward-related self-report measures. LIMITATIONS: The main limitations include the small sample size and exploratory nature of analyses. CONCLUSIONS: Evidence of possible dissociation between self-reported measures of anhedonia and other measures with respect to treatment response emerged. These results highlight the importance for future research to consider severity of self-reported reward-related deficits and how the relationship across measurement methods may vary with severity.