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[Vol.27 No.1 contents]
Japanese/English
Full Text of this Articlein Japanese PDF (540K) |
| ArticleTitle | fMRI multi-voxel pattern analysis |
| Language | J |
| AuthorList | Kenji Ogawa |
| Affiliation | JST ERATO Asada Project |
| Publication | Japanese Journal of Neuropsychology: 27 (1), 28-34, 2011 |
| Received | |
| Accepted | |
| Abstract | This paper introduces a multi-voxel pattern analysis (MVPA), as a new method for analyzing functional MRI (fMRI) data. The conventional fMRI studies have mainly used a cognitive subtraction paradigm, based on uni-voxel activity, to reveal specific brain regions related to certain cognitive functions. The subtraction method analyzes overall differences in amplitudes of fMRI signals among different conditions, and it is thus unclear what kind of information is represented in brain activation patterns. In contrast, MVPA enables us to reveal specific information (or neural representation) encoded in the region, by analyzing differences in spatial pattern of many activated voxels. In this sense, MVPA is also called "information-based mapping", compared with "activation-based mapping" used in the conventional analysis. The method of MVPA, as well as our recent study using MVPA, is briefly explained. |
| Keywords | functional MRI, multi-voxel pattern analysis (MVPA), cognitive subtraction analysis, action observation |
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