Establishing brain-behavior associations that map brain organization to phenotypic
measures and generalize to novel individuals remains a challenge in neuroimaging …

Neuroimaging is a fast-developing research area in which anatomical and functional images
of human brains are collected using techniques such as functional magnetic resonance …

A major goal of neuroimaging studies is to develop predictive models to analyze the
relationship between whole brain functional connectivity patterns and behavioural traits …

The identification of phenotypic associations in high-dimensional brain connectivity data
represents the next frontier in the neuroimaging connectomics era. Exploration of brain …

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

Recent advances in data analysis and modeling allow the use of fMRI data to ask not just
which brain regions are involved in various cognitive and perceptual tasks, but also how …

Spontaneous brain activity, as observed in functional neuroimaging, has been shown to
display reproducible structure that expresses brain architecture and carries markers of brain …

Abstract Machine learning is a powerful tool for creating computational models relating brain
function to behavior, and its use is becoming widespread in neuroscience. However, these …

Current functional Magnetic Resonance Imaging technology is able to resolve billions of
individual functional connections characterizing the human connectome. Classical statistical …

Functional neuroimaging techniques are used widely in cognitive neuroscience to
investigate aspects of functional specialization and functional integration in the human brain …