Modeling fMRI Data: Challenges and Opportunities

Autor/inn/en	Maydeu-Olivares, Alberto; Brown, Gregory
Titel	Modeling fMRI Data: Challenges and Opportunities
Quelle	In: Psychometrika, 78 (2013) 2, S.240-242 (3 Seiten) PDF als Volltext Verfügbarkeit
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 + Suchen Sie Ihr Suchwort? Auswertung; Messverfahren; Gehirn; Diagnostic test; Diagnostischer Test; Forschungskritik; Analogiemodell; Statistische Analyse
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