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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.

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