Network science provides theoretical, computational, and empirical tools that can be used to
understand the structure and function of the human brain in novel ways using simple …

The application of neuroimaging methods to product marketing—neuromarketing—has
recently gained considerable popularity. We propose that there are two main reasons for this …

As the size of functional and structural MRI datasets expands, it becomes increasingly
important to establish a baseline from which diagnostic relevance may be determined, a …

Variations in neural circuitry, inherited or acquired, may underlie important individual
differences in thought, feeling, and action patterns. Here, we used task-free connectivity …

Recent functional imaging studies have revealed coactivation in a distributed network of
cortical regions that characterizes the resting state, or default mode, of the human brain …

Since the discovery of functional connectivity in fMRI data (ie, temporal correlations between
spatially distinct regions of the brain) there has been a considerable amount of work in this …

Resting-state functional connectivity magnetic resonance imaging (fcMRI) studies constitute
a growing proportion of functional brain imaging publications. This approach detects …

BACKGROUND: Positron emission tomography (PET) studies of major depression have
revealed resting-state abnormalities in the prefrontal and cingulate cortices. Recently, fMRI …

The 'default network'is defined as a set of areas, encompassing posterior-
cingulate/precuneus, anterior cingulate/mesiofrontal cortex and temporo-parietal junctions …

Independent component analysis (ICA) has become an increasingly utilized approach for
analyzing brain imaging data. In contrast to the widely used general linear model (GLM) that …