Resting-state fMRI was first described by Biswal et al in 1995 and has since then been
widely used in both healthy subjects and patients with various neurologic, neurosurgical …

Individual variability has clear effects upon the outcome of therapies and treatment
approaches. The customization of healthcare options to the individual patient should …

It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear
behaviours. Here we challenge this assumption by leveraging mathematical models derived …

In the human brain, spontaneous activity during resting state consists of rapid transitions
between functional network states over time but the underlying mechanisms are not …

To better understand how network structure shapes intelligent behavior, we developed a
learning algorithm that we used to build personalized brain network models for 650 Human …

Modern neuroimaging techniques provide us with unique views on brain structure and
function; ie, how the brain is wired, and where and when activity takes place. Data acquired …

The development of advanced neuroimaging techniques and their deployment in large
cohorts has enabled an assessment of functional and structural brain network architecture at …

Whole-brain modeling of epilepsy combines personalized anatomical data with dynamical
models of abnormal activities to generate spatio-temporal seizure patterns as observed in …

The neurophysiological processes underlying non-invasive brain activity measurements are
incompletely understood. Here, we developed a connectome-based brain network model …

Introduction: While the prevalence of neurodegenerative diseases associated with dementia
such as Alzheimer's disease (AD) increases, our knowledge on the underlying mechanisms …