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Soc Cogn Affect Neurosci. 2009 Mar;4(1):101-9. doi: 10.1093/scan/nsn044. Epub 2009 Jan 17.

Revealing representational content with pattern-information fMRI--an introductory guide.

Author information

1
Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA. mariekemur@gmail.com

Abstract

Conventional statistical analysis methods for functional magnetic resonance imaging (fMRI) data are very successful at detecting brain regions that are activated as a whole during specific mental activities. The overall activation of a region is usually taken to indicate involvement of the region in the task. However, such activation analysis does not consider the multivoxel patterns of activity within a brain region. These patterns of activity, which are thought to reflect neuronal population codes, can be investigated by pattern-information analysis. In this framework, a region's multivariate pattern information is taken to indicate representational content. This tutorial introduction motivates pattern-information analysis, explains its underlying assumptions, introduces the most widespread methods in an intuitive way, and outlines the basic sequence of analysis steps.

PMID:
19151374
PMCID:
PMC2656880
DOI:
10.1093/scan/nsn044
[Indexed for MEDLINE]
Free PMC Article

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