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Schizophrenia research v.180, 2017년, pp.13 - 20   SCI SCIE SSCI
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Grey matter volume patterns in thalamic nuclei are associated with familial risk for schizophrenia

Pergola, Giulio (Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari 'Aldo Moro', Piazza Giulio Cesare 11, 70124 Bari, Italy ) ; Trizio, Silvestro (Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari 'Aldo Moro', Piazza Giulio Cesare 11, 70124 Bari, Italy ) ; Di Carlo, Pasquale (Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari 'Aldo Moro', Piazza Giulio Cesare 11, 70124 Bari, Italy ) ; Taurisano, Paolo (Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari 'Aldo Moro', Piazza Giulio Cesare 11, 70124 Bari, Italy ) ; Mancini, Marina (Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari 'Aldo Moro', Piazza Giulio Cesare 11, 70124 Bari, Italy ) ; Amoroso, Nicola (National Institute of Nuclear of Physics-Branch of Bari, Via E. Orabona 4, 70125 Bari, Italy ) ; Nettis, Maria Antonietta (Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari 'Aldo Moro', Piazza Giulio Cesare 11, 70124 Bari, Italy ) ; Andriola, Ileana (Depar ) ; Caforio, Grazia ; Popolizio, Teresa ; Rampino, Antonio ; Di Giorgio, Annabella ; Bertolino, Alessandro ; Blasi, Giuseppe ;
  • 초록  

    Abstract Previous evidence suggests reduced thalamic grey matter volume (GMV) in patients with schizophrenia (SCZ). However, it is not considered an intermediate phenotype for schizophrenia, possibly because previous studies did not assess the contribution of individual thalamic nuclei and employed univariate statistics. Here, we hypothesized that multivariate statistics would reveal an association of GMV in different thalamic nuclei with familial risk for schizophrenia. We also hypothesized that accounting for the heterogeneity of thalamic GMV in healthy controls would improve the detection of subjects at familial risk for the disorder. We acquired MRI scans for 96 clinically stable SCZ, 55 non-affected siblings of patients with schizophrenia (SIB), and 249 HC. The thalamus was parceled into seven regions of interest (ROIs). After a canonical univariate analysis, we used GMV estimates of thalamic ROIs, together with total thalamic GMV and premorbid intelligence, as features in Random Forests to classify HC, SIB, and SCZ. Then, we computed a Misclassification Index for each individual and tested the improvement in SIB detection after excluding a subsample of HC misclassified as patients. Random Forests discriminated SCZ from HC (accuracy=81%) and SIB from HC (accuracy=75%). Left anteromedial thalamic volumes were significantly associated with both multivariate classifications ( p


  • 주제어

    Thalamus .   Grey matter .   Multivariate pattern analysis .   Familial risk for schizophrenia .   VBM.  

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