The MATRICS Consensus Cognitive Battery (MCCB): Clinical and cognitive correlates

August, Sharon; Kiwanuka, Jacqueline N.; McMahon, Robert P.; Gold, James M.

doi:10.1016/j.schres.2011.10.015

Cited by 140 publications

(118 citation statements)

References 15 publications

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“…Using the Brief Assessment of Cognition in Schizophrenia (BACS) as a test battery of neurocognition, our research group has reported that speed of processing was correlated with the QLS total and all subscales scores and this cognitive domain was an independent predictor of the QLS total score 15. Moreover, since the MCCB was developed, several studies have also reported the relationship between cognitive function measured by it and functional outcome 42–52. However, among those studies, few evaluated social function using the QLS 46,49…”

Section: Introductionmentioning

confidence: 99%

Relationship between social and cognitive functions in people with schizophrenia

Tominaga

Tomotake

Takeda

et al. 2018

NDT

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PurposeThe purpose of the present study was to examine clinical factors related to social function in people with schizophrenia.Patients and methodsThe participants were 55 stabilized outpatients with schizophrenia. Their mean age was 39.36 (SD =10.65) years. Social function was assessed using the Quality of Life Scale (QLS). Cognitive function was evaluated with the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery (MCCB). Clinical symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS), the Calgary Depression Scale for Schizophrenia, and the Drug-Induced Extrapyramidal Symptoms Scale.ResultsNeither the MCCB cognitive domain score nor composite score was correlated with the QLS scores. However, of the 10 MCCB subtests, the Trail Making Test Part A and the Brief Assessment of Cognition in Schizophrenia-Symbol Coding (BACS-SC) scores were positively correlated with the QLS scores. Among clinical variables, especially the PANSS negative syndrome scale score had a strong negative correlation with the QLS scores. Stepwise regression analyses showed that the PANSS negative syndrome scale score was an independent predictor of the QLS scores, and although the BACS-SC score predicted the QLS common objects and activities subscale score, the association was not so strong compared to the PANSS negative syndrome scale score.ConclusionThese results indicate that speed of processing evaluated by BACS-SC could predict some aspect of social function but negative symptoms have a much stronger impact on global social function in people with schizophrenia.

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Section: Introductionmentioning

confidence: 99%

Relationship between social and cognitive functions in people with schizophrenia

Tominaga

Tomotake

Takeda

et al. 2018

NDT

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“…The MCCB includes 10 neurophysiologic tests clustered in 7 cognitive domains (1), including: speed of processing, attention/vigilance, working memory, verbal learning, visual learning, reasoning/problem solving, and social cognition. Despite its widespread use, the neural networks underlying MCCB performance in schizophrenia have been examined in only a few single-modality brain imaging studies (3–5) presenting inconsistent results. Only one study examined MCCB correlates of fused neuroimaging data (MEG and DTI) by joint independent component analysis (6).…”

Section: Introductionmentioning

confidence: 99%

In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia

Sui

Pearlson

et al. 2015

Biological Psychiatry

167

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BACKGROUND The cognitive deficits of schizophrenia are largely resistant to current treatments, thus are a life-long illness burden. The MATRICS Consensus Cognitive Battery (MCCB) provides a reliable and valid assessment of cognition across major cognitive domains; however, the multimodal brain alterations specifically associated with MCCB in schizophrenia have not been examined. METHODS The interrelationships between MCCB and the abnormalities seen in three types of neuroimaging-derived maps—fractional amplitude of low frequency fluctuations (fALFF) from resting-state functional magnetic resonance imaging (MRI), grey matter density (GM) from structural MRI and fractional anisotropy (FA) from diffusion MRI, were investigated by using multi-set canonical correlation analysis in data from 47 schizophrenia patients treated with antipsychotic medications and 50 age-matched healthy controls. RESULTS One multimodal component (CV8) was identified as both group-differentiating and significantly correlated with the MCCB composite. It demonstrated: 1) Increased cognitive performance associated with higher fALFF (intensity of regional spontaneous brain activity) and higher GM volumes in thalamus, striatum, hippocampus, and the mid-occipital region, with co-occurring FA changes in superior longitudinal fascicules, anterior thalamic radiation and forceps major. 2) Higher fALFF but lower GM volume in dorsolateral prefrontal cortex related to worse cognition in schizophrenia. 3) Distinct domains of MCCB might exhibit dissociable multimodal signatures, e.g., increased fALFF in inferior parietal lobule particularly correlated with decreased social cognition. Medication dose did not relate to these findings in schizophrenia. CONCLUSIONS Our results suggest linked functional and structural deficits in distributed cortico-striato-thalamic circuits may be closely related to MCCB-measured cognitive impairments in schizophrenia.

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“…In terms of clinical symptomatology, cognitive deficits are proposed to be more closely associated with negative and disorganised aspects of psychosis compared with positive symptoms (Bora and Murray, 2013;Dominguez et al, 2009). Attention, psychomotor speed and verbal learning in particular have been found to correlate with negative symptoms in schizophrenia (August et al, 2012;Bora and Murray, 2013;O'Gráda et al, 2009), while disorganised symptoms were related to lower verbal and visual learning, processing speed and social cognition (August et al, 2012;Flaum et al, 2000). Whether or not cognitive performance differs significantly between subtypes of psychosis, such as affective and non-affective subtypes, has not been determined conclusively.…”

Section: Introductionmentioning

confidence: 99%

Cognitive course in first-episode psychosis and clinical correlates: A 4 year longitudinal study using the MATRICS Consensus Cognitive Battery

Kenney

Anderson‐Schmidt

Scanlon

et al. 2015

Schizophrenia Research

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While cognitive impairments are prevalent in first-episode psychosis, the course of these deficits is not fully understood. Most deficits appear to remain stable, however there is uncertainty regarding the trajectory of specific cognitive domains after illness onset. This study investigates the longitudinal course of cognitive deficits four years after a first-episode of psychosis and the relationship of performance with clinical course and response to treatment.Twenty three individuals with psychotic illness, matched with 21 healthy volunteers, were assessed using the MATRICS Consensus Cognitive Battery at illness onset and 4 years later. We also investigated the relationship between cognitive deficits and quality of life and clinical indices.Verbal learning and two measures of processing speed had marked poorer trajectory over four years compared to the remaining cognitive domains. Processing speed performance was found to contribute to the cognitive deficits in psychosis. Poorer clinical outcome was associated with greater deficits at illness onset in reasoning and problem solving and social cognition. Cognitive deficits did not predict quality of life at follow-up, nor did diagnosis subtype differentiate cognitive performance.In conclusion, an initial psychotic episode may be associated with an additional cost on verbal learning and two measures of processing speed over a time spanning at least four years. Moreover, processing speed, which has been manipulated through intervention in previous studies, may represent a viable therapeutic target. Finally, cognition at illness onset may have a predictive capability of illness course.

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The MATRICS Consensus Cognitive Battery (MCCB): Clinical and cognitive correlates

Cited by 140 publications

References 15 publications

Relationship between social and cognitive functions in people with schizophrenia

Relationship between social and cognitive functions in people with schizophrenia

In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia

Cognitive course in first-episode psychosis and clinical correlates: A 4 year longitudinal study using the MATRICS Consensus Cognitive Battery

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