The last 15 years have witnessed a steady increase in the number of resting-state functional
neuroimaging studies. The connectivity patterns of multiple functional, distributed, large …

Independent Component Analysis (ICA) is one of the most popular techniques for the
analysis of resting state FMRI data because it has several advantageous properties when …

Spontaneous' resting-state'fluctuations in neuronal activity offer insights into the inherent
organisation of the human brain, and may provide markers for diagnosis and treatment of …

The number of resting state functional connectivity MRI studies continues to expand at a
rapid rate along with the options for data processing. Of the processing options, few have …

Analytic tools for addressing spontaneous brain activity, as acquired with fMRI during the
“resting-state,” have grown dramatically over the past decade. Along with each new …

Studies of resting FMRI data increasingly concern estimation at the group level, ie of
differences in functional connectivity patterns between different subject groups and/or …

The past few years have seen an emergence of approaches that leverage temporal changes
in whole-brain patterns of functional connectivity (the chronnectome). In this chronnectome …

Our brain is a network. It consists of spatially distributed, but functionally linked regions that
continuously share information with each other. Interestingly, recent advances in the …

Resting state functional magnetic resonance imaging (rs-fMRI) is based on spontaneous
fluctuations in the blood oxygen level dependent (BOLD) signal, which occur simultaneously …

The goal of this review is to describe, from a personal perspective, the development and
emergence of the resting state fMRI. In particular, various concepts derived from the resting …