Decoding negative affect personality trait from patterns of brain activation to threat stimuli

详细信息    查看全文

• 作者：Orlando Fernandes Jr^a ; ^{ofernandesjr@vm.uff.br} ; Liana C.L. Portugal^a ; Rita de Cá ; ssia S. Alves^a ; Tiago Arruda-Sanchez^b ; Anil Rao^d ; Eliane Volchan^c ; Mirtes Pereira^a ; Letí ; cia Oliveira^a ; Janaina Mourao-Miranda^d ; ^e
• 关键词：Negative affect trait ; Threat stimuli ; Functional magnetic resonance imaging ; Pattern recognition analyses ; Multi-kernel learning ; Decode
• 刊名：NeuroImage
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：145
• 期：part_PB
• 页码：337-345
• 全文大小：851 K
• 卷排序：145

文摘

Negative affect personality trait could be accurately decoded from patterns of brain activation to threat stimuli. The multiple kernel learning (MKL) approach showed the contribution of different brain areas to the predictions. Regions related to perception and emotional evaluation contributed to predicting the individuals' Negative Affect (NA). Our results suggest that the NA trait plays an important role in the brain response to threat stimuli.