Neuroanatomical pattern classification in a population-based sample of first-episode schizophrenia

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dc.contributor Sistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.author ZANETTI, Marcus V. FMUSP-HC
SCHAUFELBERGER, Maristela S. FMUSP-HC
DOSHI, Jimit
OU, Yangming
FERREIRA, Luiz K. FMUSP-HC
MENEZES, Paulo R. FMUSP-HC
SCAZUFCA, Marcia FMUSP-HC
DAVATZIKOS, Christos
BUSATTO, Geraldo F. FMUSP-HC
dc.date.issued 2013
dc.identifier.citation PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY, v.43, p.116-125, 2013
dc.identifier.issn 0278-5846
dc.identifier.uri http://observatorio.fm.usp.br/handle/OPI/2118
dc.description.abstract Recent neuroanatomical pattern classification studies have attempted to individually classify cases with psychotic disorders using morphometric MRI data in an automated fashion. However, this approach has not been tested in population-based samples, in which variable patterns of comorbidity and disease course are typically found. We aimed to evaluate the diagnostic accuracy (DA) of the above technique to discriminate between incident cases of first-episode schizophrenia identified in a circumscribed geographical region over a limited period of time, in comparison with next-door healthy controls. Sixty-two cases of first-episode schizophrenia or schizophreniform disorder and 62 age, gender and educationally-matched controls underwent 1.5 T MRI scanning at baseline, and were naturalistically followed-up over 1 year. T1-weighted images were used to train a high-dimensional multivariate classifier, and to generate both spatial maps of the discriminative morphological patterns between groups and ROC curves. The spatial map discriminating first-episode schizophrenia patients from healthy controls revealed a complex pattern of regional volumetric abnormalities in the former group, affecting fronto-temporal-occipital gray and white matter regions bilaterally, including the inferior fronto-occipital fasciculus, as well as the third and lateral ventricles. However, an overall modest DA (73.4%) was observed for the individual discrimination between first-episode schizophrenia patients and controls, and the classifier failed to predict 1-year prognosis (remitting versus non-remitting course) of first-episode schizophrenia (DA = 58.3%). In conclusion, using a ""real world"" sample recruited with epidemiological methods, the application of a neuroanatomical pattern classifier afforded only modest DA to classify first-episode schizophrenia subjects and next-door healthy controls, and poor discriminative power to predict the 1-year prognosis of first-episode schizophrenia.
dc.description.sponsorship · Wellcome Trust, UK
· Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP), Brazil [2003/13627-0]
· CAPES (Brazil)
· CNPq-Brazil
dc.language.iso eng
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof Progress in Neuro-Psychopharmacology & Biological Psychiatry
dc.rights restrictedAccess
dc.subject First-episode psychosis; Magnetic resonance imaging; Pattern classification; Prognosis; Schizophrenia
dc.subject.other healthy controls; psychosis; abnormalities; registration; prediction; biomarkers; volumes; scale; mri
dc.title Neuroanatomical pattern classification in a population-based sample of first-episode schizophrenia
dc.type article
dc.rights.holder Copyright PERGAMON-ELSEVIER SCIENCE LTD
dc.description.group LIM/23
dc.description.group LIM/21
dc.description.group LIM/39
dc.identifier.doi 10.1016/j.pnpbp.2012.12.005
dc.identifier.pmid 23261522
dc.type.category original article
dc.type.version publishedVersion
hcfmusp.author ZANETTI, Marcus V.:FM:
hcfmusp.author SCHAUFELBERGER, Maristela S.:HC:LIM/21
hcfmusp.author FERREIRA, Luiz K.:FM:
hcfmusp.author MENEZES, Paulo R.:FM:MPR
hcfmusp.author SCAZUFCA, Marcia:HC:LIM/23
hcfmusp.author BUSATTO, Geraldo F.:FM:MPS
hcfmusp.author.external · DOSHI, Jimit:Univ Penn, Dept Radiol, SBIA, Philadelphia, PA 19104 USA
· OU, Yangming:Univ Penn, Dept Radiol, SBIA, Philadelphia, PA 19104 USA
· DAVATZIKOS, Christos:Univ Penn, Dept Radiol, SBIA, Philadelphia, PA 19104 USA
hcfmusp.origem.id 2-s2.0-84872514168
hcfmusp.origem.id WOS:000317878700015
hcfmusp.publisher.city OXFORD
hcfmusp.publisher.country ENGLAND
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dc.description.index MEDLINE
hcfmusp.citation.scopus 32
hcfmusp.citation.wos 27
hcfmusp.affiliation.country Brasil
hcfmusp.affiliation.country Estados Unidos


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