CareLit · DOI-Nachweis · Klinische Neurophysiologie
Explorative Analysis of fMRI Data: Why Functional PCA should Usually be Preferred to ICA
DOI 10.1055/s-2004-832214
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Nachweis in CareLit
Autor:innenR Viviani, G Groen, H Walter
ZeitschriftKlinische Neurophysiologie
Ausgabe08/2004
Jahrgang / SeitenNicht angegeben
Kernaussage aus der Literatur
Abstract-Vorschau
Independent component analysis (ICA [1]) has been proposed as an exploratory technique for fMRI data. Unfortunately ICA generates many components with little information about how to select from them. Here we propose a new technique, functional PCA, to retrieve the signal associated to the experimental paradigm in an explorative setting. ICA posits a linear model in which the observed images Y (each column being an…
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Zitierempfehlung
R Viviani, G Groen, H Walter (2004) Explorative Analysis of fMRI Data: Why Functional PCA should Usually be Preferred to ICA. Klinische Neurophysiologie (08). https://doi.org/10.1055/s-2004-832214
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