Background Once considered mere noise, fMRI-based functional connectivity has become a
major neuroscience tool in part due to early studies demonstrating its reliability. These …

The brain is a complex, multiscale dynamical system composed of many interacting regions.
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …

The goal of the present study was to apply deep learning algorithms to identify autism
spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the …

Brain imaging efforts are being increasingly devoted to decode the functioning of the human
brain. Among neuroimaging techniques, resting-state fMRI (R-fMRI) is currently expanding …

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

Does the default mode network (DMN) reconfigure to encode information about the
changing environment? This question has proven difficult, because patterns of functional …

Resting state functional MRI (fMRI) has enabled description of group-level functional brain
organization at multiple spatial scales. However, cross-subject averaging may obscure …

The cortical surface is organized into a large number of cortical areas; however, these areas
have not been comprehensively mapped in the human. Abrupt transitions in resting-state …

Measurement of correlations between brain regions (functional connectivity) using blood
oxygen level dependent (BOLD) fMRI has proven to be a powerful tool for studying the …

The disparity between the chronological age of an individual and their brain-age measured
based on biological information has the potential to offer clinically relevant biomarkers of …