Functional connectivity and effective connectivity of the human brain, representing statistical
dependence and directed information flow between cortical regions, significantly contribute …

Connectivity measures are (typically bivariate) statistical measures that may be used to
estimate interactions between brain regions from electrophysiological data. We review both …

Autism spectrum disorder (ASD) is a neurological illness characterized by deficits in
cognition, physical activities, and social skills. There is no specific medication to treat this …

Objective. Despite the increase in calculation power over the last few decades, the
estimation of brain connectivity is still a tedious task. The high computational cost of the …

As the EEG inverse problem does not have a unique solution, the sources reconstructed
from EEG and their connectivity properties depend on forward and inverse modeling …

Magnetoencephalography (MEG) is a sophisticated tool which yields rich information on the
spatial, spectral and temporal signatures of human brain function. Despite unique potential …

Abstract The Human Connectome Project (HCP) seeks to map the structural and functional
connections between network elements in the human brain. Magnetoencephalography …

Due to its high temporal resolution, electroencephalography (EEG) is widely used to study
functional and effective brain connectivity. Yet, there is currently a mismatch between the …

Recently, interest has been growing to understand the underlying dynamic directional
relationship between simultaneously activated regions of the brain during motor task …

Numerous studies have revealed various working memory (WM)-related brain activities that
originate from various cortical regions and oscillate at different frequencies. However, multi …