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Summary: IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE MARCH/APRIL 2006 91
FUNCTIONALMAGNETICRESONANCEIMAGING
Increasing the Effect Size in
Event-Related fMRI Studies
Getting More in Less Time with ICA Denoising
BY MARTIN J. MCKEOWN,
Z. JANE WANG,
RAFEEF ABUGHARBIEH,
AND TODD C. HANDY
© DIGITAL STOCK
0739-5175/06/$20.00©2006IEEE
S
ince it was first introduced to functional magnetic reso-
nance imaging (fMRI) in 1998 [1][4], independent
component analysis (ICA) has proved to be a powerful
method for exploratory analysis of fMRI data. It has
been used to uncover unexpected activations in fMRI data
derived from brain activation in response to very complex
stimuli, including driving [5] or watching a movie [6], and to
infer connectivity between brain regions [6]. ICA has been
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