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Neuroimage. 2012 Aug 15;62(2):852-5. doi: 10.1016/j.neuroimage.2012.03.016. Epub 2012 Mar 9.

Multivariate pattern analysis of fMRI: the early beginnings.

Author information

1
Center for Cognitive Neuroscience, Dartmouth College, Hanover, NH, USA. james.v.haxby@dartmouth.edu

Abstract

In 2001, we published a paper on the representation of faces and objects in ventral temporal cortex that introduced a new method for fMRI analysis, which subsequently came to be called multivariate pattern analysis (MVPA). MVPA now refers to a diverse set of methods that analyze neural responses as patterns of activity that reflect the varying brain states that a cortical field or system can produce. This paper recounts the circumstances and events that led to the original study and later developments and innovations that have greatly expanded this approach to fMRI data analysis, leading to its widespread application.

PMID:
22425670
PMCID:
PMC3389290
DOI:
10.1016/j.neuroimage.2012.03.016
[Indexed for MEDLINE]
Free PMC Article

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