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Familial aggregation of MATRICS Consensus Cognitive Battery scores in a large sample of outpatients with schizophrenia and their unaffected relatives

Published online by Cambridge University Press:  11 October 2017

A. Mucci ,
S. Galderisi ,
M. F. Green ,
K. Nuechterlein ,
P. Rucci ,
D. Gibertoni ,
A. Rossi ,
P. Rocca ,
A. Bertolino  and
P. Bucci
...Show all authors
A. Mucci*
Affiliation:
Department of Psychiatry, Campania University “Luigi Vanvitelli”, Naples, Italy
S. Galderisi
Affiliation:
Department of Psychiatry, Campania University “Luigi Vanvitelli”, Naples, Italy
M. F. Green
Affiliation:
Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Long Beach, CA, USA
K. Nuechterlein
Affiliation:
Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
P. Rucci
Affiliation:
Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
D. Gibertoni
Affiliation:
Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
A. Rossi
Affiliation:
Department of Biotechnological and Applied Clinical Sciences, Section of Psychiatry, University of L'Aquila, L'Aquila, Italy
P. Rocca
Affiliation:
Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy
A. Bertolino
Affiliation:
Department of Neurological and Psychiatric Sciences, University of Bari, Bari, Italy
P. Bucci
Affiliation:
Department of Psychiatry, Campania University “Luigi Vanvitelli”, Naples, Italy
G. Hellemann
Affiliation:
Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
M. Spisto
Affiliation:
Department of Psychiatry, Campania University “Luigi Vanvitelli”, Naples, Italy
D. Palumbo
Affiliation:
Department of Psychiatry, Campania University “Luigi Vanvitelli”, Naples, Italy
E. Aguglia
Affiliation:
Department of Clinical and Molecular Biomedicine, Psychiatry Unit, University of Catania, Catania, Italy
G. Amodeo
Affiliation:
Department of Molecular Medicine and Clinical Department of Mental Health, University of Siena, Siena, Italy
M. Amore
Affiliation:
Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
A. Bellomo
Affiliation:
Department of Medical Sciences, Psychiatry Unit, University of Foggia, Foggia, Italy
R. Brugnoli
Affiliation:
Department of Neurosciences, Mental Health and Sensory Organs, S. Andrea Hospital, Sapienza University of Rome, Rome, Italy
B. Carpiniello
Affiliation:
Department of Public Health, Clinical and Molecular Medicine, Section of Psychiatry, University of Cagliari, Cagliari, Italy
L. Dell'Osso
Affiliation:
Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
F. Di Fabio
Affiliation:
Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
M. di Giannantonio
Affiliation:
Department of Neuroscience and Imaging, Chair of Psychiatry, G. d'Annunzio University, Chieti, Italy
G. Di Lorenzo
Affiliation:
Department of Systems Medicine, Chair of Psychiatry, Tor Vergata University of Rome, Rome, Italy
C. Marchesi
Affiliation:
Department of Neuroscience, Psychiatry Unit, University of Parma, Parma, Italy
P. Monteleone
Affiliation:
Department of Medicine and Surgery, Chair of Psychiatry, University of Salerno, Salerno, Italy
C. Montemagni
Affiliation:
Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy
L. Oldani
Affiliation:
Department of Psychiatry, University of Milan, Milan, Italy
R. Romano
Affiliation:
Department of Neurological and Psychiatric Sciences, University of Bari, Bari, Italy
R. Roncone
Affiliation:
Department of Life, Health and Environmental Sciences, Unit of Psychiatry, University of L'Aquila, L'Aquila, Italy
P. Stratta
Affiliation:
Department of Biotechnological and Applied Clinical Sciences, Section of Psychiatry, University of L'Aquila, L'Aquila, Italy
E. Tenconi
Affiliation:
Psychiatric Clinic, Department of Neurosciences, University of Padua, Padua, Italy
A. Vita
Affiliation:
Department of Mental Health, Psychiatric Unit, School of Medicine, University of Brescia, Spedali Civili Hospital, Brescia, Italy
P. Zeppegno
Affiliation:
Department of Translational Medicine, Psychiatric Unit, University of Eastern Piedmont, Novara, Italy
M. Maj
Affiliation:
Department of Psychiatry, Campania University “Luigi Vanvitelli”, Naples, Italy
*
Author for correspondence: A. Mucci, E-mail: [email protected]
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Abstract

Background

The increased use of the MATRICS Consensus Cognitive Battery (MCCB) to investigate cognitive dysfunctions in schizophrenia fostered interest in its sensitivity in the context of family studies. As various measures of the same cognitive domains may have different power to distinguish between unaffected relatives of patients and controls, the relative sensitivity of MCCB tests for relative–control differences has to be established. We compared MCCB scores of 852 outpatients with schizophrenia (SCZ) with those of 342 unaffected relatives (REL) and a normative Italian sample of 774 healthy subjects (HCS). We examined familial aggregation of cognitive impairment by investigating within-family prediction of MCCB scores based on probands’ scores.

Methods

Multivariate analysis of variance was used to analyze group differences in adjusted MCCB scores. Weighted least-squares analysis was used to investigate whether probands’ MCCB scores predicted REL neurocognitive performance.

Results

SCZ were significantly impaired on all MCCB domains. REL had intermediate scores between SCZ and HCS, showing a similar pattern of impairment, except for social cognition. Proband's scores significantly predicted REL MCCB scores on all domains except for visual learning.

Conclusions

In a large sample of stable patients with schizophrenia, living in the community, and in their unaffected relatives, MCCB demonstrated sensitivity to cognitive deficits in both groups. Our findings of significant within-family prediction of MCCB scores might reflect disease-related genetic or environmental factors.

Keywords

AttentionMCCB Italian standardizationreasoning and problem solvingsocial cognitionverbal learningworking memory
Type
Original Articles
Information
Psychological Medicine , Volume 48 , Issue 8 , June 2018 , pp. 1359 - 1366
Copyright
Copyright © Cambridge University Press 2017 

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Footnotes

†

The members of the Italian Network for Research on Psychoses are listed in the Appendix.

References

Blokland, GA, et al. (2017) Heritability of neuropsychological measures in schizophrenia and nonpsychiatric populations: a systematic review and meta-analysis. Schizophrenia Bulletin 43, 788–800.Google Scholar
Bora, E, et al. (2014) Cognitive deficits in youth with familial and clinical high risk to psychosis: a systematic review and meta-analysis. Acta Psychiatrica Scandinavica 130, 1–15.Google Scholar
Bora, E and Pantelis, C (2013) Theory of mind impairments in first-episode psychosis, individuals at ultra-high risk for psychosis and in first-degree relatives of schizophrenia: systematic review and meta-analysis. Schizophrenia Research 144, 31–36.Google Scholar
Bowie, CR, et al. (2006) Determinants of real-world functional performance in schizophrenia subjects: correlations with cognition, functional capacity, and symptoms. American Journal of Psychiatry 163, 418–425.CrossRefGoogle ScholarPubMed
Braff, DL and Tamminga, CA (2017) Endophenotypes, epigenetics, polygenicity and more: Irv Gottesman's Dynamic Legacy. Schizophrenia Bulletin 43, 10–16.Google Scholar
Brahmbhatt, SB, et al. (2006) Neural correlates of verbal and nonverbal working memory deficits in individuals with schizophrenia and their high-risk siblings. Schizophrenia Research 87, 191–204.Google Scholar
Calkins, ME, et al. (2013) Sex differences in familiality effects on neurocognitive performance in schizophrenia. Biological Psychiatry 73, 976–984.Google Scholar
Calkins, ME, et al. (2010) Project among African-Americans to explore risks for schizophrenia (PAARTNERS): evidence for impairment and heritability of neurocognitive functioning in families of schizophrenia patients. American Journal of Psychiatry 167, 459–472.Google Scholar
Chen, LS, et al. (2009) Familial aggregation of clinical and neurocognitive features in sibling pairs with and without schizophrenia. Schizophrenia Research 111, 159–166.Google Scholar
Chen, WJ, et al. (1998) Sustained attention deficit and schizotypal personality features in nonpsychotic relatives of schizophrenic patients. American Journal of Psychiatry 155, 1214–1220.CrossRefGoogle ScholarPubMed
Couture, SM, Granholm, EL and Fish, SC (2011) A path model investigation of neurocognition, theory of mind, social competence, negative symptoms and real-world functioning in schizophrenia. Schizophrenia Research 125, 152–160.CrossRefGoogle ScholarPubMed
de Achával, D, et al. (2010) Emotion processing and theory of mind in schizophrenia patients and their unaffected first-degree relatives. Neuropsychologia 48, 1209–1215.Google Scholar
Dickerson, F, et al. (2014) A longitudinal study of cognitive functioning in schizophrenia: clinical and biological predictors. Schizophrenia Research 156, 248–253.Google Scholar
Eack, SM, et al. (2010) Social cognition deficits among individuals at familial high risk for schizophrenia. Schizophrenia Bulletin 36, 1081–1088.CrossRefGoogle ScholarPubMed
Fett, AK, Maat, A and GROUP Investigators (2013) Social cognitive impairments and psychotic symptoms: what is the nature of their association? Schizophrenia Bulletin 39, 77–85.CrossRefGoogle ScholarPubMed
Fett, AK, et al. (2011) The relationship between neurocognition and social cognition with functional outcomes in schizophrenia: a meta-analysis. Neuroscience and Biobehavioral Reviews 35, 573–588.CrossRefGoogle ScholarPubMed
Galderisi, S, et al. (2013) Categorical and dimensional approaches to negative symptoms of schizophrenia: focus on long-term stability and functional outcome. Schizophrenia Research 147, 157–162.CrossRefGoogle ScholarPubMed
Galderisi, S, et al. (2009) Correlates of cognitive impairment in first episode schizophrenia: the EUFEST study. Schizophrenia Research 115, 104–114.CrossRefGoogle ScholarPubMed
Galderisi, S, et al. (2002) Historical, psychopathological, neurological, and neuropsychological aspects of deficit schizophrenia: a multicenter study. American Journal of Psychiatry 159, 983–990.CrossRefGoogle ScholarPubMed
Galderisi, S, et al. (2014) The influence of illness-related variables, personal resources and context-related factors on real-life functioning of people with schizophrenia. World Psychiatry 13, 275–287.CrossRefGoogle ScholarPubMed
Galderisi, S, et al. (2016) Pathways to functional outcome in subjects with schizophrenia living in the community and their unaffected first-degree relatives. Schizophrenia Research 175, 154–160.CrossRefGoogle ScholarPubMed
Gallagher, S and Varga, S (2015) Social cognition and psychopathology; a critical overview. World Psychiatry 14, 5–14.Google Scholar
Green, MF (2016) Impact of cognitive and social cognitive impairment on functional outcomes in patients with schizophrenia. Journal of Clinical Psychiatry 77(Suppl. 2), 8–11.Google Scholar
Green, MF, et al. (2012 a). Social cognition in schizophrenia, part 1: performance across phase of illness. Schizophrenia Bulletin 38, 854–864.CrossRefGoogle ScholarPubMed
Green, MF, Harris, JG and Nuechterlein, KH (2014) The MATRICS consensus cognitive battery: what we know 6 years later. American Journal of Psychiatry 171, 1151–1154.Google Scholar
Green, MF, et al. (2012 b). From perception to functional outcome in schizophrenia: modeling the role of ability and motivation. Archives of General Psychiatry 69, 1216–1224.Google Scholar
Green, MF, et al. (2000) Neurocognitive deficits and functional outcome in schizophrenia: are we measuring the “right stuff”? Schizophrenia Bulletin 26, 119–136.Google Scholar
Green, MF, Kern, RS and Heaton, RK (2004) Longitudinal studies of cognition and functional outcome in schizophrenia: implications for MATRICS. Schizophrenia Research 72, 41–51.CrossRefGoogle ScholarPubMed
Green, MF, et al. (2008) Social cognition in schizophrenia: an NIMH workshop on definitions, assessment, and research opportunities. Schizophrenia Bulletin 34, 1211–1220.Google Scholar
Grove, WM, et al. (1991) Familial prevalence and coaggregation of schizotypy indicators: a multitrait family study. Journal of Abnormal Psychology 100, 115–121.CrossRefGoogle ScholarPubMed
Gur, RC and Gur, RE (2016) Social cognition as an RDoC domain. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics 171B, 132–141.CrossRefGoogle ScholarPubMed
Gur, RE, et al. (2007) Neurocognitive endophenotypes in a multiplex multigenerational family study of schizophrenia. American Journal of Psychiatry 164, 813–819.Google Scholar
Harvey, PD and Strassnig, M (2012) Predicting the severity of everyday functional disability in people with schizophrenia: cognitive deficits, functional capacity, symptoms, and health status. World Psychiatry 11, 73–79.Google Scholar
Heinrichs, RW and Zakzanis, KK (1998) Neurocognitive deficit in schizophrenia: a quantitative review of the evidence. Neuropsychology 12, 426–445.Google Scholar
Hochberger, WC, et al. (2016) Unitary construct of generalized cognitive ability underlying BACS performance across psychotic disorders and in their first-degree relatives. Schizophrenia Research 170, 156–161.Google Scholar
Hou, CL, et al. (2016) Cognitive functioning in individuals at ultra-high risk for psychosis, first-degree relatives of patients with psychosis and patients with first-episode schizophrenia. Schizophrenia Research 174, 71–76.CrossRefGoogle ScholarPubMed
Keefe, RS, et al. (2011) Characteristics of the MATRICS Consensus Cognitive Battery in a 29-site antipsychotic schizophrenia clinical trial. Schizophrenia Research 125, 161–168.CrossRefGoogle Scholar
Kern, RS, et al. (2011) The MCCB impairment profile for schizophrenia outpatients: results from the MATRICS psychometric and standardization study. Schizophrenia Research 126, 124–131.Google Scholar
Kern, RS, et al. (2008) The MATRICS Consensus Cognitive Battery, part 2: co-norming and standardization. American Journal of Psychiatry 165, 214–220.Google Scholar
Kohler, CG, et al. (2014) Facial emotion perception differs in young persons at genetic and clinical high-risk for psychosis. Psychiatry Research 216, 206–212.CrossRefGoogle ScholarPubMed
Kohler, CG, et al. (2010) Facial emotion perception in schizophrenia: a meta-analytic review. Schizophrenia Bulletin 36, 1009–1019.Google Scholar
Kurtz, MM, Jeffrey, SB and Rose, J (2010) Elementary neurocognitive function, learning potential and everyday life skills in schizophrenia: what is their relationship? Schizophrenia Research 116, 280–288.CrossRefGoogle ScholarPubMed
Lavoie, MA, et al. (2013) Social cognition in first-degree relatives of people with schizophrenia: a meta-analysis. Psychiatry Research 209, 129–135.Google Scholar
Leifker, FR, Bowie, CR and Harvey, PD (2009) Determinants of everyday outcomes in schizophrenia: the influences of cognitive impairment, functional capacity, and symptoms. Schizophrenia Research 115, 82–87.CrossRefGoogle ScholarPubMed
Lopez-Garcia, P, et al. (2013) Impact of COMT genotype on cognition in schizophrenia spectrum patients and their relatives. Psychiatry Research 208, 118–124.Google Scholar
Lystad, JU, et al. (2014) The MATRICS consensus cognitive battery (MCCB): performance and functional correlates. Psychiatry Research 220, 1094–1101.Google Scholar
Mancuso, F, et al. (2011) Social cognition in psychosis: multidimensional structure, clinical correlates, and relationship with functional outcome. Schizophrenia Research 125, 143–151.CrossRefGoogle ScholarPubMed
McCleery, A, et al. (2014) Cognitive functioning in first-episode schizophrenia: MATRICS Consensus Cognitive Battery (MCCB) profile of impairment. Schizophrenia Research 157, 33–39.Google Scholar
Mohn, C, Sundet, K and Rund, BR (2012) The Norwegian standardization of the MATRICS (Measurement and Treatment Research to Improve Cognition in Schizophrenia) Consensus Cognitive Battery. Journal of Clinical and Experimental Neuropsychology 34, 667–677.CrossRefGoogle ScholarPubMed
Nuechterlein, KH, et al. (2008) The MATRICS Consensus Cognitive Battery, part 1: test selection, reliability, and validity. American Journal of Psychiatry 165, 203–213.CrossRefGoogle ScholarPubMed
Roalf, DR, et al. (2014) Within-individual variability in neurocognitive performance: age- and sex-related differences in children and youths from ages 8 to 21. Neuropsychology 28, 506–518.Google Scholar
Rodriguez-Jimenez, R, et al. (2015) The MCCB impairment profile in a Spanish sample of patients with schizophrenia: effects of diagnosis, age, and gender on cognitive functioning. Schizophrenia Research 169, 116–120.Google Scholar
Ruocco, AC, et al. (2014) Emotion recognition deficits in schizophrenia-spectrum disorders and psychotic bipolar disorder: findings from the bipolar-schizophrenia network on intermediate phenotypes (B-SNIP) study. Schizophrenia Research 158, 105–112.CrossRefGoogle ScholarPubMed
Schmidt, SJ, Mueller, DR and Roder, V (2011) Social cognition as a mediator variable between neurocognition and functional outcome in schizophrenia: empirical review and new results by structural equation modeling. Schizophrenia Bulletin 37(Suppl. 2), S41–S54.CrossRefGoogle ScholarPubMed
Schulze-Rauschenbach, S, et al. (2015) Neurocognitive functioning in parents of schizophrenia patients: attentional and executive performance vary with genetic loading. Psychiatry Research 230, 885–891.Google Scholar
Seidman, LJ, et al. (2015) Factor structure and heritability of endophenotypes in schizophrenia: findings from the Consortium on the Genetics of Schizophrenia (COGS-1). Schizophrenia Research 163, 73–79.Google Scholar
Shamsi, S, et al. (2011) Cognitive and symptomatic predictors of functional disability in schizophrenia. Schizophrenia Research 126, 257–264.Google Scholar
Sitskoorn, MM, et al. (2004) Cognitive deficits in relatives of patients with schizophrenia: a meta-analysis. Schizophrenia Research 71, 285–295.Google Scholar
Snitz, BE, Macdonald, AW III and Carter, CS (2006) Cognitive deficits in unaffected first-degree relatives of schizophrenia patients: a meta-analytic review of putative endophenotypes. Schizophrenia Bulletin 32, 179–194.Google Scholar
Szöke, A, et al. (2005) Tests of executive functions in first-degree relatives of schizophrenic patients: a meta-analysis. Psychological Medicine 35, 771–782.Google Scholar
Trandafir, A, et al. (2006) Memory tests in first-degree adult relatives of schizophrenic patients: a meta-analysis. Schizophrenia Research 81, 217–226.Google Scholar
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