Stephen R. Marder

The MATRICS Consensus Cognitive Battery, part 1: test selection, reliability, and validity.

OBJECTIVE The lack of an accepted standard for measuring cognitive change in schizophrenia has been a major obstacle to regulatory approval of cognition-enhancing treatments. A primary mandate of the National Institute of Mental Healths Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative was to develop a consensus cognitive battery for clinical trials of cognition-enhancing treatments for schizophrenia through a broadly based scientific evaluation of measures. METHOD The MATRICS Neurocognition Committee evaluated more than 90 tests in seven cognitive domains to identify the 36 most promising measures. A separate expert panel evaluated the degree to which each test met specific selection criteria. Twenty tests were selected as a beta battery. The beta battery was administered to 176 individuals with schizophrenia and readministered to 167 of them 4 weeks later so that the 20 tests could be compared directly. RESULTS The expert panel ratings are presented for the initially selected 36 tests. For the beta battery tests, data on test-retest reliability, practice effects, relationships to functional status, practicality, and tolerability are presented. Based on these data, 10 tests were selected to represent seven cognitive domains in the MATRICS Consensus Cognitive Battery. CONCLUSIONS The structured consensus method was a feasible and fair mechanism for choosing candidate tests, and direct comparison of beta battery tests in a common sample allowed selection of a final consensus battery. The MATRICS Consensus Cognitive Battery is expected to be the standard tool for assessing cognitive change in clinical trials of cognition-enhancing drugs for schizophrenia. It may also aid evaluation of cognitive remediation strategies.

Approaching a consensus cognitive battery for clinical trials in schizophrenia: The NIMH-MATRICS conference to select cognitive domains and test criteria

To stimulate the development of new drugs for the cognitive deficits of schizophrenia, the National Institute of Mental Health (NIMH) established the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative. This article presents an overview of decisions from the first MATRICS consensus conference. The goals of the meeting were to 1) identify the cognitive domains that should be represented in a consensus cognitive battery and 2) prioritize key criteria for selection of tests for the battery. Seven cognitive domains were selected based on a review of the literature and input from experts: working memory, attention/vigilance, verbal learning and memory, visual learning and memory, reasoning and problem solving, speed of processing, and social cognition. Based on discussions at this meeting, five criteria were considered essential for test selection: good test-retest reliability, high utility as a repeated measure, relationship to functional outcome, potential response to pharmacologic agents, and practicality/tolerability. The results from this meeting constitute the initial steps for reaching a consensus cognitive battery for clinical trials in schizophrenia.

Aripiprazole in the treatment of schizophrenia: safety and tolerability in short-term, placebo-controlled trials

Aripiprazole is a novel antipsychotic with a unique mechanism of action. Presented here is a pooled analysis of safety and tolerability data from all completed short-term, placebo-controlled trials in schizophrenia from the aripiprazole clinical development program. Data were analyzed from five 4- to 6-week double-blind multicenter studies of patients hospitalized with acute relapse of schizophrenia or schizoaffective disorder randomized to aripiprazole (n=932), placebo (n=416), or haloperidol (n=201). Daily aripiprazole doses ranged from 2 to 30 mg. Safety assessments included adverse event (AE) reports, EPS scales, ECGs, weight, and prolactin, glucose and cholesterol levels. Aripiprazole was well tolerated, with similar AE incidence rates to placebo, and lower rates than haloperidol for akathisia, extrapyramidal syndrome and somnolence. Objective EPS assessments demonstrated no significant differences between aripiprazole and placebo on Simpson-Angus Scale (SAS) scores, no dose-dependent effects on Barnes Akathisia scores, and significant reductions in Abnormal Involuntary Movement Scale (AIMS) scores from baseline vs. placebo (p</=0.01). Haloperidol showed increased SAS and Barnes Akathisia scores over placebo (p</=0.01). There was minimal mean weight change with aripiprazole (+0.71 kg) and haloperidol (+0.56 kg), and a lack of QT(c) prolongation. Serum prolactin increased with haloperidol, but not aripiprazole. In conclusion, aripiprazole shows a favorable safety and tolerability profile with low potential for EPS, weight gain, prolactin elevation, QT(c) prolongation, and sedation. Aripiprazoles safety profile may offer benefits in schizophrenia treatment.

Novel antipsychotics and new onset diabetes

BACKGROUND The new antipsychotics induce minimal extrapyramidal side effects, probably due to their relatively greater affinity for certain nondopaminergic receptors than their older, conventional counterparts; however, this polyreceptor affinity may be responsible for the development of other adverse effects. One serious adverse effect that may be linked to these effects is non-insulin-dependent diabetes mellitus. METHODS We summarize 6 new cases of clozapine- and olanzapine-associated diabetes that we have documented in our clinic. We compare our cases to previous reports and tabulate the pertinent similarities among cases. RESULTS Two of the cases were olanzapine-associated and 4 were clozapine-associated diabetes. Five of our 6 patients had risk factors for diabetes, as have 7 of the 9 previously reported in the literature. Four of our 6 patients, and 2 of the 4 prior cases in which such data were reported, experienced substantial weight gain after starting their antipsychotics. CONCLUSIONS Novel antipsychotics should be administered with great care to patients with risk factors for diabetes. Although the precise mechanism of the novel antipsychotic-associated diabetes is unclear, we hypothesize that histaminic and possibly serotonergic antagonism induces weight gain, which in turn leads to changes in glucose homeostasis. Additionally, serotonin1A antagonism might decrease pancreatic beta-cell responsiveness, resulting in inappropriately low insulin and hyperglycemia.

The MATRICS Consensus Cognitive Battery, Part 2: Co-Norming and Standardization

OBJECTIVE The consensus cognitive battery developed by the National Institute of Mental Healths (NIMHs) Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative includes 10 independently developed tests that are recommended as the standard battery for clinical trials of cognition-enhancing interventions for schizophrenia. To facilitate interpretation of results from the MATRICS Consensus Cognitive Battery using a common scaling across tests, normative data were obtained from a single representative U.S. community sample with the battery administered as a unit. METHOD The MATRICS Consensus Cognitive Battery was administered to 300 individuals from the general community at five sites in differing geographic regions. For each site, recruitment was stratified by age, gender, and education. A scientific survey sampling method was used to help avoid sampling bias. The battery was administered in a standard order to each participant in a single session lasting approximately 60 minutes. Descriptive data were generated, and age, gender, and education effects on performance were examined. RESULTS Prominent age and education effects were observed across tests. The results for gender differed by measure, suggesting the need for age and gender corrections in clinical trials. The MATRICS Consensus Cognitive Battery components were co-normed, with allowance for demographic corrections. CONCLUSIONS Co-norming a battery such as the MATRICS Consensus Cognitive Battery, comprising tests from independent test developers each with their own set of norms, facilitates valid interpretation of test scores and communication of findings across studies. These normative data will aid in estimating the magnitude of change during clinical trials of cognition-enhancing agents and make it possible to derive more directly interpretable composite scores.

Measurement and Treatment Research to Improve Cognition in Schizophrenia: NIMH MATRICS initiative to support the development of agents for improving cognition in schizophrenia

The impairments in social and vocational outcome that are common in schizophrenia are strongly related to the severity of impaired neurocognition. This observation led to the initiation of The NIMHs Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative, which supports the development of pharmacological agents to improve cognition in schizophrenia. MATRICS addresses barriers to drug development through a number of activities, including the development of a consensus battery for measuring cognition in schizophrenia; the development of a consensus regarding the most promising molecular targets that should be the focus of drug development; the use of a joint meeting with representatives from the industry, academia, NIMH, and the U.S. Food and Drug Administration (FDA) to clarify guidelines for the design of clinical trials for cognition enhancing agents; and finally, to assist NIMH in developing its research agenda in this area.

The expert consensus guideline series

Abstract Over the past decade, many new epilepsy treatments have been approved in the United States, promising better quality of life for many with epilepsy. However, clinicians must now choose among a growing number of treatment options and possible combinations. Randomized clinical trials (RCTs) form the basis for evidence-based decision making about best treatment options, but they rarely compare active therapies, making decisions difficult. When medical literature is lacking, expert opinion is helpful, but may contain potential biases. The expert consensus method is a new approach for statistically analyzing pooled opinion to minimize biases inherent in other systems of summarizing expert opinion. We used this method to analyze expert opinion on treatment of three epilepsy syndromes (idiopathic generalized epilepsy, symptomatic localization-related epilepsy, and symptomatic generalized epilepsy) and status epilepticus. For all three syndromes, the experts recommended the same general treatment strategy. As a first step, they recommend monotherapy. If this fails, a second monotherapy should be tried. Following this, the experts are split between additional trials of monotherapy and a combination of two therapies. If this fails, most agree the next step should be additional trials of two therapies, with less agreement as to the next best step after this. One exception to these recommendations is that the experts recommend an evaluation for epilepsy surgery after the third failed step for symptomatic localization-related epilepsies. The results of the expert survey were used to develop user-friendly treatment guidelines concerning overall treatment strategies and choice of specific medications for different syndromes and for status epilepticus.

Social cognition in schizophrenia: Relationships with neurocognition and negative symptoms

Despite the growing importance of social cognition in schizophrenia, fundamental issues concerning the nature of social cognition in schizophrenia remain unanswered. One issue concerns the strength of the relationships between social cognition and key features of the disorder such as neurocognitive deficits and negative symptoms. The current study employed structural equation modeling to examine three key questions regarding the nature of social cognition in schizophrenia: 1) Are social cognition and neurocognition in schizophrenia better modeled as one or two separate constructs? 2) Are social cognition and negative symptoms in schizophrenia better modeled as one or two separate constructs?, and 3) When social cognition, neurocognition, and negative symptoms are included in a single model, is social cognition more closely related to neurocognition or to negative symptoms? In this cross sectional study, one hundred outpatients with schizophrenia or schizoaffective disorder were administered measures of social cognition, neurocognition, and negative symptoms. A two-factor model that represented social cognition and neurocognition as separate constructs fit the data significantly better than a one-factor model, suggesting that social cognition and neurocognition are distinct, yet highly related, constructs. Likewise, a two-factor model that represented social cognition and negative symptoms as separate constructs fit the data significantly better than a one-factor model, suggesting that social cognition and negative symptoms are distinct constructs. A three-factor model revealed that the relationship between social cognition and neurocognition was stronger than the relationship between social cognition and negative symptoms. The current findings start to provide insights into the structure of social cognition, neurocognition, and negative symptoms in schizophrenia.

The Brief Negative Symptom Scale: Psychometric Properties

The participants in the NIMH-MATRICS Consensus Development Conference on Negative Symptoms recommended that an instrument be developed that measured blunted affect, alogia, asociality, anhedonia, and avolition. The Brief Negative Symptom Scale (BNSS) is a 13-item instrument designed for clinical trials and other studies that measures these 5 domains. The interrater, test-retest, and internal consistency of the instrument were strong, with respective intraclass correlation coefficients of 0.93 for the BNSS total score and values of 0.89-0.95 for individual subscales. Comparisons with positive symptoms and other negative symptom instruments supported the discriminant and concurrent validity of the instrument.

The neurocognitive effects of low-dose haloperidol: a two-year comparison with risperidone

BACKGROUND Neurocognitive deficits are core features of schizophrenia that are linked to functional outcome for the disorder. Recent studies and reviews have concluded that newer antipsychotic medications are better for neurocognitive deficits than conventional antipsychotic medications; however, one difficulty in interpreting this literature is that the comparisons have mainly been with high doses of conventional medications. This study examined the neurocognitive effects of low-dose haloperidol compared with risperidone over a 2-year period. METHODS Sixty-two patients were randomly assigned to medication (starting at 6 mg of each medication) and administered neurocognitive batteries six times over the course of follow-up. At 6 months, the mean dose of haloperidol was 5.0 mg, and the mean dose of risperidone was 6.0 mg. Neurocognitive data were reduced into cluster scores and a global summary score. RESULTS We found no significant overall differences in treatment effects on the cluster scores or the global score. The global score revealed a significant group by time interaction, reflecting the fact that the haloperidol group tended to improve initially and then stay stable, whereas the risperidone group improved more gradually over the follow-up period. CONCLUSIONS This study did not provide support for neurocognitive advantages of a newer antipsychotic medication over a low-dose conventional medication. We speculate that conventional medications may have neurocognitive benefits at low doses that are neutralized or reversed at higher doses.