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Multivariate pattern analysis in functional brain imaging

LI Sheng^*

Department of Psychology and Key Laboratory of Machine Perception and Intelligence (Ministry of Education, China), Peking University, Beijing 100871, China

Abstract

The non-invasive recording of brain activity with functional brain imaging greatly advances our understanding of human cognition. At the meantime, more powerful multivariate analysis methods are being developed to compensate the limited capability of traditional univariate approaches. In this review, I will introduce the development of these multivariate methods for functional magnetic resonance imaging (fMRI), the dominant brain imaging technique used in cognitive neuroscience society. The physiological basis of this analysis approach and its future directions will be discussed as well.

Key words: fMRI; multivariate pattern analysis; brain imaging

Received: 　　Accepted:

Corresponding author: 李晟　　E-mail: sli@pku.edu.cn

Citing This Article：

LI Sheng. Multivariate pattern analysis in functional brain imaging. Acta Physiol Sin 2011; 63 (5): 472-476 (in Chinese with English abstract).