Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-17T05:16:47.719Z Has data issue: false hasContentIssue false

Measuring Cognition in Bipolar Disorder with Psychosis Using the MATRICS Consensus Cognitive Battery

Published online by Cambridge University Press:  06 July 2015

Sarah H. Sperry*
Affiliation:
Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, Massachusetts University of North Carolina at Greensboro, Greensboro, North Carolina
Lauren K. O’Connor
Affiliation:
Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, Massachusetts
Dost Öngür
Affiliation:
Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, Massachusetts Harvard Medical School, Boston, Massachusetts
Bruce M. Cohen
Affiliation:
Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, Massachusetts Harvard Medical School, Boston, Massachusetts
Matcheri S. Keshavan
Affiliation:
Harvard Medical School, Boston, Massachusetts Beth Israel Deaconess Hospital, Boston, Massachusetts
Kathryn E. Lewandowski
Affiliation:
Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, Massachusetts Harvard Medical School, Boston, Massachusetts
*
Correspondence and reprint requests to: Sarah H. Sperry, Department of Psychology, UNC-Greensboro, P.O. Box 26170, Greensboro, NC 27402-6170. E-mail: [email protected]

Abstract

Given the substantial overlap in cognitive dysfunction between bipolar disorder (BD) and schizophrenia (SZ), we examined the utility of the MATRICS Consensus Cognitive Battery (MCCB)—developed for use in SZ—for the measurement of cognition in patients with BD with psychosis (BDP) and its association with community functioning. The MCCB, Multnomah Community Ability Scale, and measures of clinical symptoms were administered to participants with BDP (n=56), SZ (n=37), and healthy controls (HC) (n=57). Groups were compared on clinical and cognitive measures; linear regressions examined associations between MCCB and community functioning. BDP and SZ groups performed significantly worse than HC on most neurocognitive domains; BDP and HC did not differ on Social Cognition. Patients with BDP performed better than patients with SZ on most cognitive measures, although groups only differed on social cognition, working memory, verbal memory, and the composite after controlling for clinical variables. MCCB was not associated with community functioning. The MCCB is an appropriate measure of neurocognition in BDP but does not appear to capture social cognitive deficits in this population. The addition of appropriate social cognitive measures is recommended. (JINS, 2015, 21, 468–472)

Type
Brief Communication
Copyright
Copyright © The International Neuropsychological Society 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Baldessarini, R.J. (2012). Chemotherapy in psychiatry. New York: Springer Verlag.Google Scholar
Burdick, K.E., Goldberg, T.E., Cornblatt, B.A., Keefe, R.S., Gopin, C.B., Derosse, P., &Malhotra, A.K. (2011). The MATRICS consensus cognitive battery in patients with bipolar I disorder. Neuropsychopharmacology, 36(8), 15871592. doi: 10.1038/npp.2011.36 Google Scholar
Burdick, K.E., Russo, M., Frangou, S., Mahon, K., Braga, R.J., Shanahan, M., & Malhotra, A.K. (2014). Empirical evidence for discrete neurocognitive subgroups in bipolar disorder: Clinical implications. Psychological Medicine, 44, 30833096.Google Scholar
Couture, S.M., Penn, D.L., & Roberts, D.L. (2006). The functional significance of social cognition in schizophrenia: A review. Schizophrenia Bulletin, 32, S44S63. doi: 10.1093/schbul/sbl029 Google Scholar
Green, M.F. (2006). Cognitive impairment and functional outcome in schizophrenia and bipolar disorder. Journal of Clinical Psychiatry, 67(10), e12.Google Scholar
Green, M.F., Nuechterlein, K.H., Kern, R.S., Baade, L.E., Fenton, W.S., Gold, J.M., & Marder, S.R. (2008). Functional co-primary measures for clinical trials in schizophrenia: Results from the MATRICS Psychometric and Standardization Study. The American Journal of Psychiatry, 165(2), 221228. doi: 10.1176/appi.ajp.2007.07010089 Google Scholar
Hill, S.K., Reilly, J.L., Keefe, R.S., Gold, J.M., Bishop, J.R., Gershon, E.S., & Sweeney, J.A. (2013). Neuropsychological impairments in schizophrenia and psychotic bipolar disorder: Findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. American Journal of Psychiatry, 170(11), 12751284. doi: 10.1176/appi.ajp.2013.12101298 Google Scholar
Kay, S.R., Fiszbein, A., & Opler, L.A. (1987). The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophrenia Bulletin, 13(2), 261276. doi: 10.1093/schbul/12.2.261 Google Scholar
Kern, R.S., Gold, J.M., Dickinson, D., Green, M.F., Nuechterlein, K.H., Baade, L.E., & Marder, S.R. (2011). The MCCB impairment profile for schizophrenia outpatients: Results from the MATRICS psychometric and standardization study. Schizophrenia Research, 126(1-3), 124131.Google Scholar
Lewandowski, K.E., Cohen, B.M., Keshavan, M.S., & Ongür, D. (2011). Relationship of neurocognitive deficits to diagnosis and symptoms across affective and non-affective psychoses. Schizophrenia Research, 133(1-3), 212217. doi: 10.1016/j.schres.2011.09.004 Google Scholar
Lewandowski, K.E., Cohen, B.M., Keshavan, M.S., Sperry, S.H., & Ongür, D. (2013). Neuropsychological functioning predicts community outcomes in affective and non-affective psychoses: A 6-month follow-up. Schizophrenia Research, 148(1-3), 3437. doi: 10.1016/j.schres.2013.05.012 Google Scholar
Lewandowski, K.E., Sperry, S.H., Cohen, B.M., & Ongür, D. (2014). Cognitive variability in psychotic disorders: A cross-diagnostic cluster analysis. Psychological Medicine, 44(15), 32393248. doi: 10.1017/S0033291714000774 Google Scholar
Marder, S.R., & Fenton, W.S. (2004). Measurement and treatment research to improve cognition in schizophrenia: NIMH MATRICS initiative to support the development of agents for improving cognition in schizophrenia. Schizophrenia Research, 72, 59. doi: 10.1016/j.schres.2004.09.010 Google Scholar
Montgomery, S.A., & Asberg, M. (1979). A new depression scale designed to be sensitive to change. British Journal of Psychiatry, 134, 382389.Google Scholar
Robinson, L.J., Thompson, J.M., Gallagher, P., Goswami, U., Young, A.H., Ferrier, I.N., & Moore, P.B. (2006). A meta-analysis of cognitive deficits in euthymic patients with bipolar disorder. Journal of Affective Disorders, 93(1-3), 105115. doi: 10.1016/j.jad.2006.02.016 Google Scholar
Samamé, C., Martino, D.J., & Strejilevich, S.A. (2012). Social cognition in euthymic bipolar disorder: Systematic review and meta-analytic approach. Acta Psychiatrica Scandinavica, 125(4), 266280. doi: 10.1111/j.1600-0447.2011.01808.x Google Scholar
Van Rheenen, T.E., & Rossell, S.L. (2013a) An empirical evaluation of the MATRICS Consensus Cognitive Battery in bipolar disorder. Bipolar Disorders, 16(3), 318325. doi: 10.1111/bdi.12134 Google Scholar
Van Rheenen, T.E., & Rossell, S.L. (2013b). Is the non-verbal behavioural emotion-processing profile of bipolar disorder impaired? A critical review. Acta Psychiatrica Scandinavica, 128(3), 163178.Google Scholar
Van Rheenen, T.E., & Rossell, S.L. (2014). Phenomenological predictors of psychosocial function in bipolar disorder: Is there evidence that social cognitive and emotion regulation abnormalities contribute? Australian and New Zealand Journal of Psychiatry, 48(1), 2635. doi: http://dx.doi.org/10.1177/0004867413508452 Google Scholar
Yatham, L.N., Torres, I.J., Malhi, G.S., Frangou, S., Glahn, D.C., Bearden, C.E., & Chengappa, K.N. (2010). The International Society for Bipolar Disorders-Battery for Assessment of Neurocognition (ISBD-BANC). Bipolar Disorders, 12(4), 351363. doi: 10.1111/j.1399-5618.2010.00830 Google Scholar
Young, R.C., Biggs, J.T., Ziegler, V.E., & Meyer, D.A. (1978). A rating scale for mania: Reliability, validity and sensitivity. British Journal of Psychiatry, 133, 429435.Google Scholar