The brain can be regarded as a network: a connected system where nodes, or units,
represent different specialized regions and links, or connections, represent communication …

Despite the recognition that the surface Laplacian may counteract adverse effects of volume
conduction and recording reference for surface potential data, electrophysiology as a …

We present a method for removing unwanted components of biological origin from
neurophysiological recordings such as magnetoencephalography (MEG) …

We investigated in a longitudinal multicenter cohort study functional cortical connectivity
changes along the course of frontotemporal dementia (FTD) and Alzheimer's disease (AD) …

The analysis of the topology and organization of brain networks is known to greatly benefit
from network measures in graph theory. However, to evaluate dynamic changes of brain …

Brain–computer interface (BCI) remains an emerging tool that seeks to improve the patient
interaction with the therapeutic mechanisms and to generate neuroplasticity progressively …

We present a method to remove the effects of sensor-specific noise in multiple-channel
recordings such as magnetoencephalography (MEG) or electroencephalography (EEG) …

It is assumed that extinction learning is a suitable model for understanding the mechanisms
underlying exposure therapy. Furthermore, there is evidence that non-invasive brain …

Primary lateral sclerosis (PLS) is a slowly progressing disorder, which is characterized
primarily by the degeneration of upper motor neurons (UMNs) in the primary motor area …

Important requirements for the analysis of multichannel EEG data are efficient techniques for
signal enhancement, signal decomposition, feature extraction, and dimensionality reduction …