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

Carpiniello, B.;Pinna F;Sanna L;Primavera D;
2018-01-01

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.
2018
2017
Inglese
48
8
1359
1366
8
http://journals.cambridge.org/action/displayJournal?jid=PSM
Esperti anonimi
internazionale
scientifica
Attention; MCCB Italian standardization; Reasoning and problem solving; Social cognition; Verbal learning; Working memory; Applied psychology; Psychiatry and mental health
Mucci, A.; Galderisi, S.; Green, M. F.; Nuechterlein, K.; Rucci, P.; Gibertoni, D.; Rossi, A.; Rocca, P.; Bertolino, A.; Bucci, P.; Hellemann, G.; Spisto, M.; Palumbo, D.; Aguglia, E.; Amodeo, G.; Amore, M.; Bellomo, A.; Brugnoli, R.; Carpiniello, B.; Dell'Osso, L.; Di Fabio, F.; di Giannantonio, M.; Di Lorenzo, G.; Marchesi, C.; Monteleone, P.; Montemagni, C.; Oldani, L.; Romano, R.; Roncone, R.; Stratta, P.; Tenconi, E.; Vita, A.; Zeppegno, P.; Maj, M; Piegari, G; Vignapiano, A; Caputo, F; Plescia, G; Montefusco, V; Mancini, M; Attrotto, Mt; Paladini, V; Atti, Ar; Barlati, S; Galluzzo, A; Mussoni, C; Pinna, F; Sanna, L; Primavera, D; Signorelli, Ms; Minutolo, G; Cannavò, D; Acciavatti, T; Santacroce, R; Corbo, M; Altamura, M; La Montagna, M; Carnevale, R; Pizziconi, G; Rossi, R; Santarelli, V; Giusti, L; Malavolta, M; Salza, A; Murri, Mb; Calcagno, P; Bugliani, M; Serati, M; Orsenigo, G; Gramaglia, C; Gattoni, E; Cattaneo, C; Campagnola, N; Ferronato, L; Piovan, C; Tonna, M; Bettini, E; Ossola, P; Gesi, C; Landi, P; Rutigliano, G; Biondi, M; Girardi, P; Buzzanca, A; Zocconali, M; Comparelli, A; Mancinelli, I; Niolu, C; Ribolsi, M; Siracusano, A; Corrivetti, G; Bartoli, L; Diasco, F; Bolognesi, S; Goracci, A; Fagiolini, A; Bellino, S; Cardillo, S; Bracale, N.
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