Literaturnachweis - Detailanzeige
Autor/inn/en | Maydeu-Olivares, Alberto; Brown, Gregory |
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Titel | Modeling fMRI Data: Challenges and Opportunities |
Quelle | In: Psychometrika, 78 (2013) 2, S.240-242 (3 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0033-3123 |
DOI | 10.1007/s11336-013-9332-6 |
Schlagwörter | Data Analysis; Measurement; Brain; Diagnostic Tests; Research Problems; Models; Statistical Analysis |
Abstract | 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. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |