Multivariate pattern analysis of fMRI: the early beginnings.

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.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Haxby JV

doi

10.1016/j.neuroimage.2012.03.016

subject

Has Abstract

pub_date

2012-08-15 00:00:00

pages

852-5

issue

2

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(12)00289-3

journal_volume

62

pub_type

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