ICA was successful at separating meaningful functional networks within the brain. The extent
of the networks changed very little between the different conditions. However, the natural …

The functional communications between brain regions are thought to be dynamic. However,
it is usually difficult to elucidate whether the observed dynamic connectivity is functionally …

Most Functional Magnetic Resonance Imaging (fMRI) studies with the goal of understanding
the Functional Connectivity (FC) of the brain have applied Resting-State fMRI to study …

Traditional functional magnetic resonance imaging (fMRI) studies have used controlled
tasks such as finger tapping to isolate function in distinct cortical. Recent studies have …

Objective: Previous functional magnetic resonance imaging (fMRI) studies mostly used
abstracted paradigms to investigate different aspects of human brain function and …

Functional magnetic resonance imaging (fMRI) is based on changes in the brain's
haemodynamics that are coupled to neural activations. FMRI enables the study of brain …

Functional magnetic resonance imaging (fMRI) has been shown to be fruitful as a tool to
scrutinize the functioning of the brain, becoming widely used in the study of brain dynamics …

Methods This research was nerformed on a 1.5 T GE Horizon MRI scanner (Waukesha, WI)
with high-speed gradients to allow EPI BOLD contrast acquisition. The EPI scanning …

Independent component analysis (ICA) can unravel functional brain networks from
functional magnetic resonance imaging (fMRI) data. The number of the estimated …

Movie viewing allows human perception and cognition to be studied in complex, real-life-like
situations in a brain-imaging laboratory. Previous studies with functional magnetic …