We present a new method for separating multiple task-related events
from other physiological and physical events revealed by functional
Magnetic Resonance Imaging (fMRI) signals. The method separates fMRI
signals into different events by minimizing the spatial and temporal
correlations between events. The method was used to analyze fMRI
data sets from subjects performing real or imagery motor tasks. The
method successfully separated task related events (e.g, the
activation in primary motor cortex during real motion and in
supplementary motor area during imagery motion) from unrelated events
(e.g., an activation in auditory area and slow changes probably
associated with head drifts).
^{Dong D W, Kelso J A S, Steinberg F L 2002}
{Spatio-temporal decorrelated activity patterns in functional
MRI data during real and imagined motor tasks}
{Neurocomputing} { Vol~49(1-4), pp~227-239}
Send comments to Dawei Dong: dawei@hope.caltech.edu