Recent developments in multivariate pattern analysis for functional MRI

doi:10.1007/s12264-012-1253-3

CORC > 北京大学 > 心理与认知科学学院

	Recent developments in multivariate pattern analysis for functional MRI
	Yang, Zhi ; Fang, Fang ; Weng, Xuchu
刊名	神经科学通报
	2012
关键词	multivariate analysis fMRI pattern recognition computational biology HUMAN BRAIN ACTIVITY HUMAN VISUAL-CORTEX NEUROIMAGING DATA MENTAL STATES CATEGORY SELECTIVITY PREFRONTAL CORTEX NATURAL IMAGES FMRI ACTIVATION REPRESENTATIONS
DOI	10.1007/s12264-012-1253-3
英文摘要	Multivariate pattern analysis (MVPA) is a recently-developed approach for functional magnetic resonance imaging (fMRI) data analyses. Compared with the traditional univariate methods, MVPA is more sensitive to subtle changes in multivariate patterns in fMRI data. In this review, we introduce several significant advances in MVPA applications and summarize various combinations of algorithms and parameters in different problem settings. The limitations of MVPA and some critical questions that need to be addressed in future research are also discussed.; Neurosciences; SCI(E); 中国科技核心期刊(ISTIC); 0; REVIEW; 4,SI; 399-408; 28
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/232279]
专题	心理与认知科学学院
推荐引用方式 GB/T 7714	Yang, Zhi,Fang, Fang,Weng, Xuchu. Recent developments in multivariate pattern analysis for functional MRI[J]. 神经科学通报,2012.
APA	Yang, Zhi,Fang, Fang,&Weng, Xuchu.(2012).Recent developments in multivariate pattern analysis for functional MRI.神经科学通报.
MLA	Yang, Zhi,et al."Recent developments in multivariate pattern analysis for functional MRI".神经科学通报 (2012).