Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques

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• 作者：Letizia Squarcina^a ; ^b ; Umberto Castellani^c ; Marcella Bellani^a ; ^b ; Cinzia Perlini^b ; ^d ; Antonio Lasalvia^a ; Nicola Dusi^a ; ^b ; Chiara Bonetto^e ; Doriana Cristofalo^e ; Sarah Tosato^e ; Gianluca Rambaldelli^b ; ^e ; Franco Alessandrini^f ; Giada Zoccatelli^f ; Roberto Pozzi-Mucelli^g ; Dario Lamonaca^h ; Enrico Ceccatoⁱ ; Francesca Pileggi^j ; Fausto Mazzi^k ; Paolo Santonastaso^l ; Mirella Ruggeri^a ; ^e ; Paolo Brambilla^m ; ⁿ ; ^{paolo.brambilla1@unimi.it} ; The GET UP Group¹
• 关键词：Schizophrenia ; Affective psychosis ; Cortical thickness ; MRI ; Frontal ; Temporal cortex
• 刊名：NeuroImage
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：145
• 期：part_PB
• 页码：238-245
• 全文大小：315 K
• 卷排序：145

文摘

Largest classification study in FEP population Fronto-temporal cortical thickness discriminates between psychosis patients and healthy controls. Frontal and temporal cortical thickness are involved in psychosis. Nuisance correction based on age and gender during the training phase improves classification.