Graph theoretical analysis has become an important tool in the examination of brain
dysconnectivity in neurological and psychiatric brain disorders. A common analysis step in …

General intelligence is a psychological construct that captures in a single metric the overall
level of behavioural and cognitive performance in an individual. While previous research …

Graph theory (GT) is a powerful framework for quantifying topological features of
neuroimaging-derived functional and structural networks. However, false positive (FP) …

Intelligence-related differences in the intrinsic functional organization of the brain were
studied with a graph-theoretical approach, comparing effects on nodal measures of brain …

In recent years, it has become common practice in neuroscience to use networks to
summarize relational information in a set of measurements, typically assumed to be …

Background Extensive evidence indicates that cortical connectivity patterns are abnormal in
autism spectrum disorders (ASD), showing both overconnectivity and underconnectivity …

The recent fusion of network science and neuroscience has catalyzed a paradigm shift in
how we study the brain and led to the field of brain network analysis. Brain network analyses …

This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …

Much of the literature exploring differences between intrinsic and task‐evoked brain
architectures has examined changes in functional connectivity patterns between specific …

Hypothesis testing for graphs has been an important tool in applied research fields for more
than two decades, and still remains a challenging problem as one often needs to draw …