Multivoxel pattern analysis of schizophrenia by resting-state functional magnetic resonance imaging / 中南大学学报(医学版)
Journal of Central South University(Medical Sciences)
; (12): 26-30, 2013.
Article
em Zh
| WPRIM
| ID: wpr-814928
Biblioteca responsável:
WPRO
ABSTRACT
OBJECTIVE@#To investigate the resting-state functional connectivity in patients with schizophrenia and healthy controls using multivoxel pattern analysis, and to find out the abnormal functional connectivity in patients.@*METHODS@#Twenty two patients with schizophrenia and 22 matched controls were given resting state functional magnetic resonance brain scan. We used the high functional connectivity as features, reduced the dimensionality by 3 methods, and classified the features.@*RESULTS@#The principal component analysis achieved the best generalization performance, whose classification rate was 86.4%. Most features were the functional connectivity within or between the visual cortex network and the pre- and post-central and temporal lobe connectivity.@*CONCLUSION@#Patients with schizophrenia can be identified with multivoxel pattern analysis based on the functional magnetic resonance imaging, and visual cortex network may play an important role in physiological explanation of the syndrome of schizophrenia.
Texto completo:
1
Base de dados:
WPRIM
Assunto principal:
Esquizofrenia
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Córtex Visual
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Processamento de Sinais Assistido por Computador
/
Encéfalo
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Imageamento por Ressonância Magnética
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Análise de Componente Principal
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Diagnóstico
Tipo de estudo:
Diagnostic_studies
Limite:
Adolescent
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Adult
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Female
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Humans
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Male
Idioma:
Zh
Revista:
Journal of Central South University(Medical Sciences)
Ano de publicação:
2013
Tipo de documento:
Article
País de publicação:
CHINA
/
CN
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REPUBLIC OF CHINA