BACKGROUND AND PURPOSE: Independent component analysis (ICA), unlike other
methods for processing functional MR (fMR) imaging data, requires no a priori assumptions …

Self-paced functional MR imaging (fMRI) paradigms, in which the task timing is determined
by the subject's performance, can offer several advantages over commonly applied …

BACKGROUND AND PURPOSE: Repetitive motor tasks that produce sustained neuronal
activity in the sensorimotor cortex produce transient neuronal activity in subcortical regions …

This article reports test-retest reproducibility of functional MRI (fMRI) measurement on brain
activation elicited by auditory-cued sequential finger tapping. Eight right-handed volunteers …

Independent component analysis (ICA) has been demonstrated to be an effective data‐
driven method for analyzing fMRI data. However, a method for objective differentiation of …

BACKGROUND AND PURPOSE: With independent component analysis (ICA), regions of
activation can be identified on functional MR (fMR) images without a priori knowledge of …

Multiple cortical regions such as the supplementary motor area (SMA), premotor cortex (PM),
and primary motor cortex (M1) are involved in the sequential execution of hand movements …

The analysis of functional magnetic resonance imaging (fMRI) data has typically relied on
univariate methods to identify areas of brain activity related to cognitive and behavioral task …

Purpose: To investigate if resting‐state functional MRI (fMRI) reliably can serve as a
complement to task‐based fMRI for presurgical mapping of the sensorimotor cortex …

Multicentre MRI studies offer great potential to increase study power and flexibility, but it is
not yet clear how reproducible the results from multiple centres may be. Here we present …