Characterizing the optimal fMRI paradigms for detecting behaviorally relevant functional
connectivity (FC) patterns is a critical step to furthering our knowledge of the neural basis of …

There is significant interest in using resting-state functional connectivity (RSFC) to predict
human behavior. Good behavioral prediction should in theory require RSFC to be …

Abstracts Brain functional connectivity features can predict cognition and behavior at the
level of the individual. Most studies measure univariate signals, correlating timecourses from …

Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of
individual-specific cortical parcellations. We have previously developed a multi-session …

Objective: The advent of functional MRI (fMRI) enables the identification of brain regions
recruited for specific behavioral tasks. Most fMRI studies focus on group effects in single …

How spontaneously fluctuating functional magnetic resonance imaging (fMRI) signals in
different brain regions relate to behaviour has been an open question for decades …

Resting-state functional magnetic resonance imaging (rs-fMRI) offers the opportunity to
delineate individual-specific brain networks. A major question is whether individual-specific …

Highlights•Studies of densely-sampled humans have provided new insights regarding
functional brain organization.•Precise delineation of functional networks in individuals has …

The search for an 'ideal'approach to investigate the functional connections in the human
brain is an ongoing challenge for the neuroscience community. While resting-state …

Many cognitive and clinical neuroscience research studies seek to determine how
contextual factors modulate cognitive processes. In fMRI, hypotheses about how context …