The MATRICS Consensus Cognitive Battery (MCCB): Co-norming and standardization in China

MATRICS Consensus Cognitive Battery (MCCB), packaging 10 tests selected from more than 90 nominated tests, is a method developed by the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) group to evaluate the efficacy of treatments targeting cognitive impairments in schizophrenia. MCCB had been translated into a number of languages, but only the US and Spain had normative data reported. Inconsistency in translation and cultural differences make direct application of MCCB in China problematic. In this study, we administered the battery to a representative community sample based on Chinese population census in 2005 and obtained normative data. The effects of age, gender, education level, and scale of residence area on test performance were examined. The sample included 656 healthy volunteers from six sites in China. At each site, sample was stratified according to age, gender, and educational level, and scale of the area one was born in, grew up in and currently living in was recorded. We found age, gender, and education had significant effects on the normative data for MCCB in China, which are comparable to those found for the original standardized English version in the U.S. and the Spanish version in Spain. Remarkably, the residence scale effects on neuropsychological performance were significant, which should be taking into account when calculating the standardized T score for each subject. The practice effects were minor and test-retest reliability of MCCB was good, which suggests MCCB as an appropriate measure for clinical and research usage in China.

Multimodal Neuroimaging in Schizophrenia: Description and Dissemination

In this paper we describe an open-access collection of multimodal neuroimaging data in schizophrenia for release to the community. Data were acquired from approximately 100 patients with schizophrenia and 100 age-matched controls during rest as well as several task activation paradigms targeting a hierarchy of cognitive constructs. Neuroimaging data include structural MRI, functional MRI, diffusion MRI, MR spectroscopic imaging, and magnetoencephalography. For three of the hypothesis-driven projects, task activation paradigms were acquired on subsets of ~200 volunteers which examined a range of sensory and cognitive processes (e.g., auditory sensory gating, auditory/visual multisensory integration, visual transverse patterning). Neuropsychological data were also acquired and genetic material via saliva samples were collected from most of the participants and have been typed for both genome-wide polymorphism data as well as genome-wide methylation data. Some results are also presented from the individual studies as well as from our data-driven multimodal analyses (e.g., multimodal examinations of network structure and network dynamics and multitask fMRI data analysis across projects). All data will be released through the Mind Research Network's collaborative informatics and neuroimaging suite (COINS).

Developing treatments for cognitive deficits in schizophrenia: the challenge of translation

Schizophrenia is a life-long debilitating mental disorder affecting tens of millions of people worldwide. The serendipitous discovery of antipsychotics focused pharmaceutical research on developing a better antipsychotic. Our understanding of the disorder has advanced however, with the knowledge that cognitive enhancers are required for patients in order to improve their everyday lives. While antipsychotics treat psychosis, they do not enhance cognition and hence are not antischizophrenics. Developing pro-cognitive therapeutics has been extremely difficult, however, especially when no approved treatment exists. In lieu of stumbling on an efficacious treatment, developing targeted compounds can be facilitated by understanding the neural mechanisms underlying altered cognitive functioning in patients. Equally importantly, these cognitive domains will need to be measured similarly in animals and humans so that novel targets can be tested prior to conducting expensive clinical trials. To date, the limited similarity of testing across species has resulted in a translational bottleneck. In this review, we emphasize that schizophrenia is a disorder characterized by abnormal cognitive behavior. Quantifying these abnormalities using tasks having cross-species validity would enable the quantification of comparable processes in rodents. This approach would increase the likelihood that the neural substrates underlying relevant behaviors will be conserved across species. Hence, we detail cross-species tasks which can be used to test the effects of manipulations relevant to schizophrenia and putative therapeutics. Such tasks offer the hope of providing a bridge between non-clinical and clinical testing that will eventually lead to treatments developed specifically for patients with deficient cognition.

An empirical evaluation of the MATRICS Consensus Cognitive Battery in bipolar disorder

OBJECTIVES

There is a large body of evidence to indicate that neurocognitive impairments in bipolar disorder (BD) may represent viable endophenotypes; however, a standard consensus-based battery of cognitive tests used to measure them is yet to appear. There is potential for a neurocognitive battery which was developed for use in the related disorder, schizophrenia - the MATRICS Consensus Cognitive Battery (MCCB) - to provide a consistent measurement tool with a standard to which the cognitive capacity of BD can be compared to other disorders. However, its suitability for capturing neurocognitive impairment in BD cohorts is not well established. Moreover, neurocognitive tests recently recommended by the International Society for Bipolar Disorders (ISBD) for inclusion in a consensus neurocognitive battery for BD have not been evaluated in the context of the MCCB. An evaluation of (i) the clinical efficacy of the MCCB and (ii) the tests recommended by the ISBD in a BD cohort were the aims of the current study.

METHODS

A total of 50 patients with BD (mean age = 38 years) and 52 healthy controls (mean age = 34 years) completed all of the MCCB subtests, in addition to the well-recognized Trail Making Test-Part B and the Colour-Word Stroop.

RESULTS

Multivariate analyses of variance of the MCCB domains revealed a significant group effect for overall cognition, and significantly reduced patient performance on speed of processing, working memory, and visual and verbal learning. A second multivariate analysis of variance using a newly created composite score called executive function, comprising scores on an existing MCCB subtest in addition to TMT-B and Colour-Word Stroop, revealed significant differences on this domain as well. Subgroup analysis indicated that there were no differences in any domain score performance between symptomatic and euthymic patients, or bipolar I and II disorder patient groups.

CONCLUSIONS

Our findings suggest that the MCCB and two additionally recommended ISBD executive function measures form a promising consensus-based research tool for examining neurocognition in BD.

d-Cycloserine augmentation of cognitive remediation in schizophrenia

d-Cycloserine (DCS) has been shown to enhance memory and, in a previous trial, once-weekly DCS improved negative symptoms in schizophrenia subjects. We hypothesized that DCS combined with a cognitive remediation (CR) program would improve memory of a practiced auditory discrimination task and that gains would generalize to performance on unpracticed cognitive tasks. Stable, medicated adult schizophrenia outpatients participated in the Brain Fitness CR program 3-5 times per week for 8weeks. Subjects were randomly assigned to once-weekly adjunctive treatment with DCS (50mg) or placebo administered before the first session each week. Primary outcomes were performance on an auditory discrimination task, the MATRICS cognitive battery composite score and the Scale for the Assessment of Negative Symptoms (SANS) total score. 36 subjects received study drug and 32 completed the trial (average number of CR sessions=26.1). Performance on the practiced auditory discrimination task significantly improved in the DCS group compared to the placebo group. DCS was also associated with significantly greater negative symptom improvement for subjects symptomatic at baseline (SANS score ≥20). However, improvement on the MATRICS battery was observed only in the placebo group. Considered with previous results, these findings suggest that DCS augments CR and alleviates negative symptoms in schizophrenia patients. However, further work is needed to evaluate whether CR gains achieved with DCS can generalize to other unpracticed cognitive tasks.

Processing Speed is Impaired in Adults with Autism Spectrum Disorder, and Relates to Social Communication Abilities

Autism spectrum disorder (ASD) is characterized by a variety of social and non-social behavioral deficits. One potential mechanism that could unify this diverse profile of behaviors is slower processing speed. Seventy-six high-functioning adults with ASD were compared to 64 matched controls on standardized measures of processing speed. Participants with ASD were significantly slower on all measures, and on the composite score from the three tests (d's > .65). ASD participants with slower processing speeds scored higher on the ADOS Communication and Reciprocal Social Interaction scale (r = .34). These findings provide evidence of slower processing speeds in adults with ASD, and that this may be contributing to impairments in social communication skills. Interventions that improve processing speed might improve social communication abilities in ASD.

Neurocognition in schizophrenia: from prodrome to multi-episode illness

Individuals with schizophrenia present a neuropsychological deficit throughout the course of the disorder. Few studies have addressed the progression of the deficit since the prodromal phase of the disorder. This investigation explored neurocognition in accordance with the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus recommendations. The aim of the study was to explore the presence of neurocognitive impairment in ultra-high-risk individuals and the stage of this impairment in samples at different phases of illness. Thirty-six individuals with a prodromal syndrome, 53 first-episode and 44 multi-episode schizophrenia patients were assessed to examine neuropsychological performance. ANCOVA analysis adjusted for possible confounder factors and planned contrasts with healthy controls were undertaken. The results revealed deficits in speed-of-processing, visual-learning and social-cognition in prodromal individuals, and of all other neuropsychological domains in both first-episode and multi-episode patients. Furthermore impairment was found in the first-episode and in the multi-episode group, respectively on working-memory and attention. Within the framework of the neurodevelopmental model of schizophrenia, our results suggest the presence of neuropsychological impairment before the onset of full-blown psychosis. Moreover, the deficits are larger in the more chronic groups, according to the theory of an ongoing neurodevelopmental alteration.

Neuropsychological profile in adult schizophrenia measured with the CMINDS

Schizophrenia neurocognitive domain profiles are predominantly based on paper-and-pencil batteries. This study presents the first schizophrenia domain profile based on the Computerized Multiphasic Interactive Neurocognitive System (CMINDS(®)). Neurocognitive domain z-scores were computed from computerized neuropsychological tests, similar to those in the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery (MCCB), administered to 175 patients with schizophrenia and 169 demographically similar healthy volunteers. The schizophrenia domain profile order by effect size was Speed of Processing (d=-1.14), Attention/Vigilance (d=-1.04), Working Memory (d=-1.03), Verbal Learning (d=-1.02), Visual Learning (d=-0.91), and Reasoning/Problem Solving (d=-0.67). There were no significant group by sex interactions, but overall women, compared to men, showed advantages on Attention/Vigilance, Verbal Learning, and Visual Learning compared to Reasoning/Problem Solving on which men showed an advantage over women. The CMINDS can readily be employed in the assessment of cognitive deficits in neuropsychiatric disorders; particularly in large-scale studies that may benefit most from electronic data capture.

Alexithymia in schizophrenia: associations with neurocognition and emotional distress

While alexithymia, or difficulties identifying and describing affect, has been commonly observed in schizophrenia, little is known about its causes and correlates. To test the hypothesis that deficits in emotion identification and expression result from, or are at least related to, deficits in neurocognition and affective symptoms, we assessed alexithymia using the Toronto Alexithymia Scale (TAS-20), symptoms using the Positive and Negative Syndrome Scale (PANSS), and neurocognition using the MATRICS battery among 65 adults with schizophrenia spectrum disorders in a non-acute phase of illness. Partial correlations controlling for the effects of social desirability revealed that difficulty identifying feelings and externally oriented thinking were linked with greater levels of neurocognitive deficits, while difficulty describing feelings was related to heightened levels of emotional distress. To explore whether neurocognition and affective symptoms were uniquely related to alexithymia, a multiple regression was conducted in which neurocognitive scores and affective symptoms were allowed to enter to predict overall levels of alexithymia after controlling for social desirability. Results revealed both processing speed and anxiety uniquely contributed to the prediction of the total score on the TAS-20. Results suggest that dysfunctions in both cognitive and affective processes may be related to alexithymia in schizophrenia independently of one another.

Pharmacological Interventions for the MATRICS Cognitive Domains in Schizophrenia: What's the Evidence?

Schizophrenia is a disabling, chronic psychiatric disorder with a prevalence rate of 0.5-1% in the general population. Symptoms include positive (e.g., delusions, hallucinations), negative (e.g., blunted affect, social withdrawal), as well as cognitive symptoms (e.g., memory and attention problems). Although 75-85% of patients with schizophrenia report cognitive impairments, the underlying neuropharmacological mechanisms are not well understood and currently no effective treatment is available for these impairments. This has led to the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative, which established seven cognitive domains that are fundamentally impaired in schizophrenia. These domains include verbal learning and memory, visual learning and memory, working memory, attention and vigilance, processing speed, reasoning and problem solving, and social cognition. Recently, a growing number of studies have been conducted trying to identify the underlying neuropharmacological mechanisms of cognitive impairments in schizophrenia patients. Specific cognitive impairments seem to arise from different underlying neuropharmacological mechanisms. However, most review articles describe cognition in general and an overview of the mechanisms involved in these seven separate cognitive domains is currently lacking. Therefore, we reviewed the underlying neuropharmacological mechanisms focusing on the domains as established by the MATRICS initiative which are considered most crucial in schizophrenia.

Building a neurocognitive profile of thought disorder in schizophrenia using a standardized test battery

A core symptom of schizophrenia is thought disorder (TD). The cognitive abilities of semantic processing and executive function are argued to be etiologically linked to TD. However, there has been no comprehensive investigation of neurocognition in TD to date. The neurocognitive profile of 58 schizophrenia patients and 48 healthy controls was examined using the MATRICS Consensus Cognitive Battery and the D-KEFS Color-Word Interference Test. TD patients performed more poorly than non-TD patients on the cognitive domains of Verbal Learning and Inhibition, reflective of semantic and executive function respectively, confirming their critical roles over and above other cognitive deficits in schizophrenia.

What is the optimal neuropsychological test battery for schizophrenia in China?

BACKGROUND

The MATRICS consensus cognitive battery (MCCB) has been widely used to evaluate cognitive deficits in schizophrenia (SCZ), however, no study has formally examined the validity of the MCCB in Chinese SCZ. This study compared Chinese SCZ patients with healthy Chinese controls on the MCCB and some additional neurocognitive tests to determine if the Chinese MCCB is an optimal battery to assess the cognitive deficits in Chinese SCZ patients.

METHOD

The study enrolled and examined 230 patients met DSM-IV criteria for SCZ and 656 healthy controls matched for gender, age and education. Besides the MCCB, we also included some additional neurocognitive tests that have been widely used in patients with schizophrenia. We selected MCCB and non-MCCB tests with large effect size, to assemble a new "optimal battery" and compared its performance with that of the standard MCCB.

RESULTS

Comparing the putative "optimal" battery with the original MCCB, more patients with SCZ were identified as cognitively impaired according to the criteria of GDS ≥ 0.50 for the optimal battery (166 vs 135, or 72.2% vs 58.7%). The rate of cognitive impairment according to MCCB GDS in patients with SCZ who were currently working, ever worked and never worked are 45.5%, 61.6% and 70.8% (p = 0.051), whereas the optimal battery GDS showed 56.4%, 74.8%, 91.7% (p = 0.003), respectively.

CONCLUSIONS

Our study needs validation with independent samples but suggests that the current "optimal" cognitive battery could be more sensitive than the widely used MCCB in detecting SCZ related cognitive impairment in China.

Effects of acute memantine administration on MATRICS Consensus Cognitive Battery performance in psychosis: Testing an experimental medicine strategy

RATIONALE

Pro-cognitive agents for chronic psychotic disorders (CPDs) might be detected via experimental medicine models, in which neural targets engaged by the drug predict sensitivity to the drug's pro-cognitive effects.

OBJECTIVE

This study aims to use an experimental medicine model to test the hypothesis that "target engagement" predicts pro-cognitive effects of the NMDA antagonist, memantine (MEM), in CPDs.

METHODS

MATRICS Consensus Cognitive Battery (MCCB) performance was assessed in CPD (n = 41) and healthy subjects (HS; n = 41) in a double-blind, randomized cross-over design of acute (single dose) MEM (placebo vs. 10 or 20 mg p.o.). Measures of prepulse inhibition (PPI) and mismatch negativity previously reported from this cohort substantiated target engagement. Biomarkers predicting MEM neurocognitive sensitivity were assessed.

RESULTS

Testing confirmed MCCB deficits associated with CPD diagnosis, age, and anticholinergic exposure. MEM (20 mg p.o.) reduced MCCB performance in HS. To control for significant test order effects, an "order-corrected MEM effect" (OCME) was calculated. In CPD subjects, greater age, positive MEM effects on PPI, and SNP rs1337697 (within the ionotropic NMDA receptor gene, GRIN3A) predicted greater positive OCME with 20 mg MEM.

CONCLUSIONS

An experimental medicine model to assess acute pro-cognitive drug effects in CPD subjects is feasible but not without challenges. A single MEM 20 mg dose had a negative impact on neurocognition among HS. In CPD patients, age, MEM effects on PPI, and rs1337697 predicted sensitivity to the neurocognitive effects of MEM. Any potential clinical utility of these predictive markers for pro-cognitive effects of MEM in subgroups of CPD patients cannot be inferred without a validating clinical trial.

Motor abnormalities and cognitive impairment in first-episode psychosis patients, their unaffected siblings and healthy controls

Motor abnormalities (MAs) may be already evidenced long before the beginning of illness and are highly prevalent in psychosis. However, the extent to which the whole range of MAs are related to cognitive impairment in psychosis remains understudied. This study aimed to examine comparatively the relationships between the whole range of motor abnormalities and cognitive impairments in the first-episode of psychosis (FEP), their unaffected siblings and healthy control subjects. Fifty FEP patients, 21 of their healthy siblings and 24 age- and sex matched healthy controls were included. Motor assessment included catatonic, extrapyramidal and neurological soft signs (NSS) by means of standardized instruments. An exhaustive neuropsychological battery was also performed to extract the 7 cognitive dimensions of MATRICS initiative. Higher scores on NSS but not on extrapyramidal and catatonic signs showed significant associations with worse cognitive performance in the three study groups. However, the pattern of associations regarding specific cognitive functions was different among the three groups. Moreover, extrapyramidal signs showed significant associations with cognitive impairment only in FEP patients but not in their unaffected siblings and healthy controls. Catatonic signs did not show any significant association with cognitive functioning in the three study groups. These findings add evidence to the associations between motor abnormalities, particularly NSS and extrapyramidal signs, and cognitive impairment in first-episode psychosis patients. In addition, our results suggest that the specific pattern of associations between MAs and cognitive functioning is different in FEP patients from those of the unaffected siblings and healthy subjects.

The MATRICS Consensus Cognitive Battery (MCCB): performance and functional correlates

Neurocognitive impairment is a core feature in psychotic disorders and the MATRICS Consensus Cognitive Battery (MCCB) is now widely used to assess neurocognition in this group. The MATRICS has been translated into several languages, including Norwegian; although this version has yet to be investigated in an adult clinical population. Further, the relationship between the MATRICS and different measures of functioning needs examination. The purpose of this study was to describe neurocognition assessed with the Norwegian version of the MATRICS battery in a sample of patients with psychotic disorders compared to age and gender matched healthy controls and to examine the association with educational-, occupational- and social-functioning in the patient group. One hundred and thirty one patients and 137 healthy controls completed the battery. The Norwegian version of the MATRICS was sensitive to the magnitude of neurocognitive impairments in patients with psychotic disorders, with patients displaying significant impairments on all domains relative to healthy controls. Neurocognition was also related to both self-rated and objective functional measures such as social functioning, educational- and employment-history.

The MCCB impairment profile in a Spanish sample of patients with schizophrenia: Effects of diagnosis, age, and gender on cognitive functioning

The MATRICS Consensus Cognitive Battery (MCCB) was administered to 293 schizophrenia outpatients and 210 community residents in Spain. Our first objective was to identify the age- and gender-corrected MCCB cognitive profile of patients with schizophrenia. The profile of schizophrenia patients showed deficits when compared to controls across the seven MCCB domains. Reasoning and Problem Solving and Social Cognition were the least impaired, while Visual Learning and Verbal Learning showed the greatest deficits. Our second objective was to study the effects on cognitive functioning of age and gender, in addition to diagnosis. Diagnosis was found to have the greatest effect on cognition (Cohen's d>0.8 for all MCCB domains); age and gender also had effects on cognitive functioning, although to a lesser degree (with age usually having slightly larger effects than gender). The effects of age were apparent in all domains (with better performance in younger subjects), except for Social Cognition. Gender had effects on Attention/Vigilance, Working Memory, Reasoning and Problem Solving (better performance in males), and Social Cognition (better performance in females). No interaction effects were found between diagnosis and age, or between diagnosis and gender. This lack of interactions suggests that age and gender effects are not different in patients and controls.

Smoking, MATRICS consensus cognitive battery and P50 sensory gating in a Han Chinese population

BACKGROUND

The effects of smoking on cognitive performance have long been studied, with mixed results. P50 sensory gating has been used as endophenotype for studying nicotinic systems genetics, and P50 gating deficits have been reported to be a sensitive biomarker for cognitive impairment in schizophrenia. This study examined the inter-relationship between P50 suppression, cognitive function, and smoking in a healthy Han Chinese population, which has not been reported before.

METHODS

We recruited 82 healthy male subjects, including 48 smokers and 34 non-smokers who were matched for age and education. The authors measured P50 sensory gating and administered the Chinese-language version of the MATRICS consensus cognitive battery (MCCB) and Stroop tests.

RESULTS

The results showed that the smokers scored lower than nonsmokers on the MCCB brief visuospatial memory test (BVMT) index and the STROOP test. Furthermore, the MCCB total score was negatively associated with number of cigarettes smoked per day in the smoker group. However, P50 sensory gating was not associated with either smoking status or any cognitive performance.

CONCLUSIONS

Our results show that smoking is associated with cognitive impairment, but not with P50 sensory gating.

Characterization of peripheral cannabinoid receptor expression and clinical correlates in schizophrenia

The relationship between cannabinoid receptor signaling and psychosis vulnerability requires further exploration. The endocannabinoid signaling system is extensive, with receptors exerting regulatory functions in both immune and central nervous systems. In the brain, cannabinoid receptors (CBR) directly modulate neurotransmitter systems. In the peripheral lymphocyte, CBRs mediate cytokine release, with dysregulated cytokine levels demonstrated in schizophrenia. mRNA levels of CBRs were measured in human peripheral blood mononuclear cells (PBMCs) obtained from 70 participants (35 non-clinical controls, 35 participants with schizophrenia), who were recruited for the absence of marijuana use/abuse by self-report. Changes in mRNA expression were measured using qRT-PCR. Clinical measurements collected included the MATRICS Cognitive Battery and the Positive and Negative Syndrome Scale. Levels of CB1R and CB2R mRNA in PBMCs were significantly higher in participants with schizophrenia compared to the non-clinical controls. Additionally, CB1R and CB2R mRNA levels correlated with impairments in cognitive processing and clinical symptom severity in multiple domains. These results continue to support dysregulation of particular aspects of the endocannabinoid signaling system in participants with schizophrenia selected for the self-reported absence of marijuana abuse/dependence.

Schizophrenia, smoking status, and performance on the matrics Cognitive Consensus Battery

Cognitive deficits and high rates of nicotine dependence are consistently documented in the schizophrenia literature. However, there is currently no consensus about how regular smoking influences cognition in schizophrenia or which cognitive domains are most affected by chronic smoking. Previous studies have also failed to disambiguate the effects of chronic nicotine from those of acute exposure. The current study uses a novel approach to testing nicotine addicted patients at a time-point between acute enhancement and withdrawal and implements the MATRICS Cognitive Consensus Battery (MCCB) to compare the overall cognitive performance of regular smokers (n=40) and nonsmokers (n=36) with schizophrenia. Controlling for age, gender, and education, smokers with schizophrenia were significantly more impaired on a visual learning task, the Brief Visuospatial Memory Test-Revised (BVMT-R), than their nonsmoking peers. Among smokers, smoking behavior (i.e., exhaled carbon monoxide levels of smokers) predicted BVMT-R T score; greater smoking was associated with more impaired visual learning. Negative symptom severity was not predictive of greater visual learning deficits in smokers or nonsmokers. Future longitudinal research will be required to determine if there is a dose-response relationship between chronic nicotine and visual learning impairment in patients at various stages of psychotic illness.

Detecting reliable cognitive change in individual patients with the MATRICS Consensus Cognitive Battery

OBJECTIVE

Clinicians often need to evaluate the treatment response of an individual person and to know that observed change is true improvement or worsening beyond usual week-to-week changes. This paper gives clinicians tools to evaluate individual changes on the MATRICS Consensus Cognitive Battery (MCCB). We compare three different approaches: a descriptive analysis of MCCB test-retest performance with no intervention, a reliable change index (RCI) approach controlling for average practice effects, and a regression approach.

METHOD

Data were gathered as part of the MATRICS PASS study (Nuechterlein et al., 2008). A total of 159 people with schizophrenia completed the MCCB at baseline and 4weeks later. Data were analyzed using an RCI and a regression formula establishing confidence intervals.

RESULTS

The RCI and regression approaches agree within one point when baseline values are close to the sample mean. However, the regression approach offers more accurate limits for expected change at the tails of the distribution of baseline scores.

CONCLUSIONS

Although both approaches have their merits, the regression approach provides the most accurate measure of significant change across the full range of scores. As the RCI does not account for regression to the mean and has confidence limits that remain constant across baseline scores, the RCI approach effectively gives narrower confidence limits around an inaccurately predicted average change value. Further, despite the high test-retest reliability of the MCCB, a change in an individual's score must be relatively large to be confident that it is beyond normal month-to-month variation.

Reduced White Matter Integrity and Deficits in Neuropsychological Functioning in Adults With Autism Spectrum Disorder

Autism spectrum disorder (ASD) is currently viewed as a disorder of cortical systems connectivity, with a heavy emphasis being on the structural integrity of white matter tracts. However, the majority of the literature to date has focused on children with ASD. Understanding the integrity of white matter tracts in adults may help reveal the nature of ASD pathology in adulthood and the potential contributors to cognitive impairment. This study examined white matter water diffusion using diffusion tensor imaging in relation to neuropsychological measures of cognition in a sample of 45 adults with ASD compared to 20 age, gender, and full-scale-IQ-matched healthy volunteers. Tract-based spatial statistics were used to assess differences in diffusion along white matter tracts between groups using permutation testing. The following neuropsychological measures of cognition were assessed: processing speed, attention vigilance, working memory, verbal learning, visual learning, reasoning and problem solving, and social cognition. Results indicated that fractional anisotropy (FA) was significantly reduced in adults with ASD in the anterior thalamic radiation (P = 0.022) and the right cingulum (P = 0.008). All neuropsychological measures were worse in the ASD group, but none of the measures significantly correlated with reduced FA in either tract in the adults with ASD or in the healthy volunteers. Together, this indicates that the tracts that are the most impacted in autism may not be (at least directly) responsible for the behavioral deficits in ASD. Autism Res 2020, 13: 702-714. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: White matter tracts are the data cables in the brain that efficiently transfer information, and damage to these tracts could be the cause for the abnormal behaviors that are associated with autism. We found that two long-range tracts (the anterior thalamic radiation and the cingulum) were both impaired in autism but were not directly related to the impairments in behavior. This suggests that the abnormal tracts and behavior are the effects of another underlying mechanism.

MCCB cognitive profile in Spanish first episode schizophrenia patients

The objective of the study was to examine the cognitive profile of Spanish patients with a first episode of schizophrenia (FESz) and to compare that to the profile of patients with a chronic schizophrenia (CSz) and non-psychiatric (NP) control subjects. The study included 106 FESz, 293 CSz, and 210 NP, assessed with the Spanish version of the MATRICS Consensus Cognitive Battery (MCCB). The MCCB cognitive profile in a Spanish sample of FESz was similar to the cognitive profile of CSz with some discrepancies in select domains. The scores of both patient samples were about 1-2 SD below the scores of non-psychiatric control subjects.

Virtual reality assessment of functional capacity in the early course of schizophrenia: Associations with cognitive performance and daily functioning

AIM

Computer-based virtual reality assessments of functional capacity have shown promise as a reliable and valid way to assess individuals with multi-episode schizophrenia. However, there has been little research utilizing this innovative approach with young patients who are in the early phase of schizophrenia.

METHODS

Outpatients in the early course of schizophrenia (n = 42) were compared to controls (n = 13) at cross-sectional study points. Patients were within 2 years of their first psychotic episode, were an average of 22.2 years old and had an average of 12.3 years of education. We used the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) and the University of California, San Diego (UCSD) Performance-Based Skills Assessment-2 (UPSA-2) to assess functional capacity. The MATRICS Consensus Cognitive Battery (MCCB) and the Cognitive Assessment Interview (CAI) were the measures of cognitive functioning. The Global Functioning Scale: Role (GFS-R) and Social (GFS-S), and the Role Functioning Scale (RFS) were the measures of daily functioning.

RESULTS

Early course patients vs controls were slower (patient M = 830.41 seconds vs control M = 716.84 seconds; t = 3.0, P < .01) and committed more errors (patient M = 3.2 vs control M = 1.7 seconds, t = 2.9, P < .01) on the VRFCAT. Total time was significantly correlated with the UPSA (r = -0.66, P < .01), MCCB (r = -0.70, P < .01), CAI (r = -0.51, P < .01), and GFS role (r = -0.52, P <. 01) and social functioning (r = -0.43, P = .03).

CONCLUSIONS

We extend previous findings to patients with first-episode schizophrenia. Virtual-reality-based performance was correlated with a standard test of functional capacity, indicating VRFCAT validity. Furthermore, correlations with cognitive functioning and occupational/school and social functioning indicate promise as a co-primary measure to track changes in response to treatment.

[Effectiveness of a programme based on a virtual reality game for cognitive enhancement in schizophrenia]

OBJECTIVE

To evaluate the effectiveness of a programme based on a virtual reality game to improve cognitive domains in patients with schizophrenia.

METHOD

A randomized controlled trial was conducted in 40 patients with schizophrenia, 20 in the experimental group and 20 in the control group. The experimental group received 10 sessions with Nintendo Wii(®) for 5 weeks, 50 minutes/session, 2 days/week in addition to conventional treatment. The control group received conventional treatment only.

RESULTS

Statistically significant differences in the T-Score were found in 5 of the 6 cognitive domains assessed: processing speed (F=12.04, p=0.001), attention/vigilance (F=12.75, p=0.001), working memory (F=18.86, p <0.01), verbal learning (F=7.6, p=0.009), visual learning (F=3.6, p=0.064), and reasoning and problem solving (F=11.08, p=0.002).

CONCLUSIONS

Participation in virtual reality interventions aimed at cognitive training have great potential for significant gains in different cognitive domains assessed in patients with schizophrenia.

Social cognition in patients with schizophrenia spectrum and bipolar disorders with and without psychotic features

Background

Social cognition may be critical to the impoverished social functioning seen in serious mental illness. However, although social-cognitive deficits are consistently demonstrated in schizophrenia spectrum disorders (SSD), studies in bipolar disorder (BD) have produced inconsistent results. This inconsistency may relate to symptom profiles of patients studied, particularly the presence or absence of psychotic features. Thus, we examined social cognition in bipolar disorder with psychotic features (BD +) versus without psychotic features (BD −) relative to SSD and controls.

Methods

A sample of 537 SSD patients, 85 BD + patients, 37 BD − patients, and 309 controls were administered the MATRICS Consensus Cognitive Battery, including a social cognition measure, the managing emotions branch of the Mayer–Salovey–Caruso Emotional Intelligence Test (MSCEIT). Analyses of covariance compared MSCEIT performance between diagnostic groups while controlling for race, psychotropic medication status, and neurocognition.

Results

SSD but not BD − or BD + patients showed significant MSCEIT deficits relative to controls.

Conclusions

MSCEIT deficits were found in SSD but not BD − or BD +, suggesting that social cognition may represent an underlying difference between SSD and BD. However, variance in MSCEIT performance among BD patients may also suggest latent BD subgroups characterized by social-cognitive deficits. Findings can help inform future investigations into how social cognition and social brain development differ between SSD and BD.