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ERIC Number: EJ997618
Record Type: Journal
Publication Date: 2013-Apr
Pages: 3
Abstractor: As Provided
Reference Count: 8
ISSN: ISSN-0033-3123
Modeling fMRI Data: Challenges and Opportunities
Maydeu-Olivares, Alberto; Brown, Gregory
Psychometrika, v78 n2 p240-242 Apr 2013
We offer an introduction to the five papers that make up this special section. These papers deal with a range of the methodological challenges that face researchers analyzing fMRI data--the spatial, multilevel, and longitudinal nature of the data, the sources of noise, and so on. The papers all provide analyses of data collected by a multi-site consortium, the Function Biomedical Informatics Research Network. Due to the sheer volume of data, univariate procedures are often applied, which leads to a multiple comparisons problem (since the data are necessarily multivariate). The papers in this section include interesting applications, such as a state-space model applied to these data, and conclude with a reflection on basic measurement problems in fMRI. All in all, they provide a good overview of the challenges that fMRI data present to the standard psychometric toolbox, but also to the opportunities they offer for new psychometric modeling.
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A