The past decade has witnessed a proliferation of studies aimed at characterizing the human
connectome. These projects map the brain regions comprising large-scale systems …

Psychiatric disorders encompass complex aberrations of cognition and affect and are
among the most debilitating and poorly understood of any medical condition. Current …

A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete
neurobiological “atoms”. Resting-state functional magnetic resonance imaging (rs-fMRI) …

The brain recruits neuronal populations in a temporally coordinated manner in task and at
rest. However, the extent to which large-scale networks exhibit their own organized temporal …

Certain organizational features of brain networks present in the individual are lost when
central tendencies are examined in the group. Here we investigated the detailed network …

We present a practical “how-to” guide to help determine whether single-subject fMRI
independent components (ICs) characterise structured noise or not. Manual identification of …

The identification of resting state networks (RSNs) and the quantification of their functional
connectivity in resting-state fMRI (rfMRI) are seriously hindered by the presence of artefacts …

Cerebellar abnormalities, particularly in Right Crus I (RCrusI), are consistently reported in
autism spectrum disorders (ASD). Although RCrusI is functionally connected with ASD …

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

Resting-state functional magnetic resonance imaging (rfMRI) allows one to study functional
connectivity in the brain by acquiring fMRI data while subjects lie inactive in the MRI …