The brain is characterized by heterogeneous patterns of structural connections supporting
unparalleled feats of cognition and a wide range of behaviours. New non-invasive imaging …

The majority of functional neuroscience studies have focused on the brain's response to a
task or stimulus. However, the brain is very active even in the absence of explicit input or …

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 …

Whole-brain fMRI signals are a subject of intense interest: variance in the global fMRI signal
(the spatial mean of all signals in the brain) indexes subject arousal, and psychiatric …

The global signal is widely used as a regressor or normalization factor for removing the
effects of global variations in the analysis of functional magnetic resonance imaging (fMRI) …

Representational similarity analysis of activation patterns has become an increasingly
important tool for studying brain representations. The dissimilarity between two patterns is …

Anticorrelated relationships in spontaneous signal fluctuation have been previously
observed in resting-state functional magnetic resonance imaging (fMRI). In particular, it was …

Neuroimaging studies of language have typically focused on either production or
comprehension of single speech utterances such as syllables, words, or sentences. In this …

Functional magnetic resonance imaging (fMRI) has become the most popular method for
imaging brain function. Handbook of Functional MRI Data Analysis provides a …

During resting conditions the brain remains functionally and metabolically active. One
manifestation of this activity that has become an important research tool is spontaneous …